#1768 - Dr. Robert Epstein

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Dr. Robert Epstein

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Robert Epstein is an author, editor, and psychology researcher. He is a former editor-in-chief of "Psychology Today" and currently serves as Senior Research Psychologist at the American Institute for Behavioral Research and Technology. He also founded the Cambridge Center for Behavioral Studies. https://www.drrobertepstein.com/ https://americasdigitalshield.com/

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Timestamps

0:15Search engine results (Google & DuckDuckGo)
1:30Why you shouldn't use Google Search & SNM products (Surveillance and Manipulation Platform)
3:25Android phones & SNM products

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kay

4y ago

if you want to play this on brave you need to enable drm its spotify that needs that .

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I got the same result...downloaded Brave, tried to listen to the podcast in differente sites, I get acess only to the first 30 seconds...things are made in a way that either you use google or you can't acess stuff...I put Chrome back again and I'm listening to the rest of the podcast...

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Texas

4y ago

I stopped this episode 12min in and installed Brave. Now I got this notification when trying to listen to the rest of the episode on this site with the Brave-browser: "Tracker and ads blocked: google analytics. Sites often include cookies and scripts which try to identify you and your device (often embedded into ads). They want to work out who you are and follow you across the web — tracking what you do on every site. Brave blocks these things so that you can browse without being followed around." And the episode-list dont show recent episodes, and the player just plays the first 30sec. Btw, this guest is horribel at explaing things.

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Transcript

0:00

Joe Rogan podcast check it out the Joe Rogan experience train by day Joe Rogan

0:07

podcast by

0:08

night all day first of all thank you for coming really appreciate it this is a

0:15

very interesting

0:16

subject because I think search engine results have always been a thing that

0:22

people kind of

0:24

take for granted that the search engine results is going to give you the most

0:28

significant results

0:29

at the top and they don't really think about the fact that this is kind of

0:33

curated and you know

0:35

we found it many times because we use two different search engines we'll use

0:39

Google and then we'll say

0:40

well if we can't find it on Google use DuckDuckGo and oftentimes when you're

0:44

looking for something

0:45

very specific you'll find that you can't find it on Google like there if it's

0:50

in there it's deep deep

0:52

deep you know many pages in whereas DuckDuckGo will give you the relative you

0:57

know the relevant search

0:58

results very quickly so something's going on with search engines and from your

1:03

research what you

1:05

have found is that it can significantly affect the results of elections well

1:10

not not just that it can

1:12

affect how people think it can affect your opinions attitudes purchases that

1:19

you make pretty much it's

1:22

it's it's it's it's a mind control machine it's it's the most powerful mind

1:26

control machine that's ever been invented

1:28

uh and by the way you should never use the Google search engine never never

1:35

why is that because it this is what I call um and this isn't this is an S&M

1:43

platform now I'm not sure what S&M means to you I don't want to pry into your

1:48

personal life but uh point is that uh but what I mean by S&M is that this is a

1:55

surveillance and manipulation um platform uh on the surface there are always

2:01

two two levels to everything with Google on the surface

2:04

it's a it's a it's like a free public library kind of thing right yes that's

2:11

always on the surface

2:11

beneath the surface it's something different from a business perspective it's

2:16

an S&M platform

2:17

it exists for two purposes only and that is to trick people into giving up lots

2:24

and lots of personal information notice your public librarian doesn't do that

2:29

you notice that they don't actually do that right and then it's also used for

2:34

manipulation because they discovered quite a few years ago that if they control

2:39

the ranking

2:40

of the search results they can control the search results they can control

2:44

people's opinions

2:45

purchases votes now they can't control everyone's opinions because a lot of

2:52

people already have strong opinions so the people they're going after are the

2:56

people who are undecided the people who are vulnerable and they know exactly

3:00

who those people are and they literally you're you're you're mind is putty in

3:08

their hands

3:10

uh so you should never ever use google or any other S&M product like Amazon

3:19

Alexa is an S&M product or the Google Home device or Android phones

3:25

Android phones are bad

3:27

Android phones are always recording you are you serious yeah I mean I just I'm

3:39

questioning this I mean I believe you but I just want you to elaborate

3:43

oh yeah there've been court cases in which the recordings have been subpoenaed

3:49

uh from uh whoever's controlling that you know that so-called personal

3:56

assistant or that that device and courts have recovered recordings and

4:00

transcripts uh when people are not even aware that they're that they're being

4:06

monitored

4:07

oh that's the case with Alexa right yes but that's the case with Android phones

4:10

as well

4:11

yes in fact Android phones the equipment to prove this which I didn't bring but

4:17

um is so cheap now that literally anyone can confirm this Android phones even

4:25

if they're disconnected from your uh your mobile service provider

4:30

even if you pull out the SIM card okay as long as the power is on it is

4:35

recording tracking every single thing that you do so if you use it to read

4:41

things if you use it to listen to music

4:42

you use it to shop whatever it is it's it's it and of course your location is

4:49

always tracked then when you go back online the moment you're you're reconnected

4:54

it it uploads all that information

4:57

so some people wonder why their batteries run down sometimes even when you're

5:03

not really doing anything with your phone that's because uh with Android phones

5:08

it's I think it's

5:09

I think it's about 50 to 60 times per hour it's uploading uh it's uploading uh

5:15

it's uploading about 12 megabytes of data per hour

5:19

so that's a lot of a lot of energy that that that requires energy uh so it I

5:24

mean the kind of phone I have is completely different it doesn't do anything

5:28

like that

5:29

what do you have like a no agenda type phone do you know that show no agenda no

5:34

it's uh my friend Adam curry who's the original podfather he's the guy who

5:40

invented podcasting and he uh his company develops these de-googled phones

5:44

where they take out all the tracking stuff all everything

5:47

and it's uh it's uh it's it's basically running on a different operating system

5:51

right so I have a phone that runs on a different different operating system it's

5:55

completely de-googled and um

5:57

what do you got can you show it to me yeah I can show it to you I'm just

6:01

interested it just looks like any old regular phone right but it's not

6:05

is it running Linux what's it running no it's a it's a different operating

6:10

system can you not tell me

6:11

well I can tell it seems like you're trying to hide this Robert well the point

6:17

is I uh look if if you go if you go to a website it says myprivacytips.com okay

6:29

that's an article you get to an article of mine and that article begins I have

6:34

not received a targeted ad on my mobile phone

6:39

or my computer since 2014. Wow!

6:44

so there is a different way to use all the technology that's out there so that

6:51

you you are not the product okay so they're actually you know a user making use

6:57

of services but you're not the product and it can be done

7:01

and it and yeah there's a little inconvenience involved yes very little uh is

7:07

there some expense involved

7:09

very very little all these services that you get for free quote unquote they're

7:15

not free uh you pay for them with your freedom uh if you want to get them in a

7:20

paid form so that you're not being tracked we're talking ten to fifteen dollars

7:25

a month

7:25

literally all of those so-called free services uh that are really again these S&M

7:33

services all of them together are worth ten or fifteen bucks a month

7:39

and how do you do how do you use your phone though if you want to have a search

7:43

engine are you using uh a different search engine like what are you using

7:48

well that's that's that's changed for me over time but right now i'm using uh

7:53

the brave browser

7:55

i use that okay that's good that's really the best one right now and then brave

8:00

introduced uh a brave search engine

8:03

which uh now fortunately very recently you can make the default search engine

8:09

on brave so brave doesn't track at all

8:13

brave works faster than chrome chrome is is google's surveillance browser and

8:20

uh brave works even faster they're both built on what's called chromium so they're

8:25

built on the same tech

8:26

except that um brave suppresses all ads so it works much faster than chrome

8:33

does and you know now again you can make the default search engine on brave

8:39

literally the brave search engine so

8:43

do you ever run into websites where they don't work properly because it's

8:47

trying to upload ads or something and maybe there's a glitch

8:50

uh very very rarely uh and then i will go over occasionally i'll go over to uh

8:58

firefox uh because firefox was actually developed by a guy named brendan ike

9:03

uh who might be really interesting for you to talk to by the way uh and then he

9:09

left uh mozilla which was the non-profit organization that developed firefox

9:15

oh by the way the connection between firefox and google don't even get me

9:19

started it's disgusting

9:21

but the point is brendan got sick of that situation and he founded his own

9:26

company and he developed brave so the same guy who developed firefox developed

9:31

brave

9:31

very much into privacy uh you know really a forward forward thinker he's

9:37

amazing guy so when did you first become

9:41

interested in digital surveillance and privacy and like what you're giving up

9:46

by using these free services like google

9:49

i wasn't interested at all i've i've been a researcher for 40 years and i had a

9:55

lot of

9:55

research underway i've done research on on teenagers and creativity and stress

10:01

management all kinds of things i'm still doing all that stuff

10:03

but on january 1st of the year 2012 i got a i don't know eight or nine messages

10:13

from google uh telling me that my website had been hacked

10:17

and that they were blocking access so i thought the first thing i thought was

10:23

why why am i getting these notices from google

10:25

who made google the sheriff of the internet why am i why isn't this coming from

10:30

the government why isn't it coming from some nonprofit organization

10:33

so that got my attention and then because i'm a coder i've been a programmer

10:40

since i was a teenager

10:41

and then i started wondering wait a minute okay they're blocking me on the

10:46

google search engine i get

10:47

that that's that's them right so they so so they have these crawlers you know

10:53

that look at all the websites every day

10:53

and their crawler found some malware on my website that happens all the day too

11:00

everyone gets hacked i'm sure you've been hacked and google has itself has been

11:03

hacked

11:03

so i get that they're blocking me on google google.com search engine i get it

11:11

okay but i noticed they're also blocking me on firefox which is owned by a

11:17

nonprofit

11:17

owned by a non-profit they're blocking me on safari which is owned by apple i i

11:21

thought that's how could that be these are these are completely separate

11:26

companies

11:27

took me a while took me a while to figure this out i finally published a piece

11:33

in u.s news and world report

11:35

uh an investigative piece called the new censorship and i described nine of

11:42

google's blacklists this was 2016 so this was a while ago

11:47

in detail in detail i described nine of google's blacklists i explained how the

11:52

blacklists work i explained google can literally block access

11:57

on multiple platforms that aren't even theirs they can block access to any

12:02

website that google at one point in time

12:05

uh 2009 i think it was i don't know i might get the date wrong let's just say

12:11

january whatever 30th

12:13

uh google blocked access to the entire internet for 40 minutes google google

12:21

google anyway in this article

12:24

i mean when you say that if with all browsers when you say blocked access to

12:29

the entire internet so like

12:30

if you use the brave browser back then did it even exist back then probably

12:34

didn't exist brave didn't exist

12:36

but no there were well there were lots of search engines google was not the

12:39

first search engine it was the

12:41

21st search engine so but what i'm saying is with all web browsers it blocked

12:45

access to the internet

12:47

it blocked access to virtually the entire internet to virtually everyone in the

12:53

entire world for 40 minutes

12:55

what and this but this was reported in the news so is what's happening with

13:00

their their system is because

13:04

so many people are searching for things because they're monitoring so many

13:07

different things to add to their

13:08

search engines do they have some sort of ultimate control over the internet in

13:12

some weird way

13:13

here it is right here google blacklists entire internet glitch causes world's

13:19

most popular search

13:20

engine to classify all web pages as dangerous wow google placed the internet on

13:26

a blacklist today after a

13:28

mistake caused every site in the search engine's result page to be marked as

13:31

potentially harmful and

13:33

dangerous holy shit the fact that they can even do this i like how it gives you

13:38

like a at the top this

13:39

article is more than 12 years old okay imagine that like 12 years means like it's

13:44

ancient like they

13:45

wrote it on stone tablets 12 years ago yeah but but you know this is nonsense

13:49

this report is nonsense is it of

13:53

course they they this is google is full of geeks okay i'm part geek so i i can

14:01

relate i can speak

14:03

uh and and and and geeks for fun okay sometimes for profit but most of the time

14:11

it's just for fun just

14:13

to be cool and get their kicks and show the how powerful they are to be elite

14:18

yeah so they do so

14:20

they do crazy things so they shut down the internet i i guarantee you it was a

14:26

geek thing because you

14:28

know you know you know why i figured that out because i kept wondering why did

14:31

they shut it down on this

14:34

early super early morning on a saturday why what's so special about that little

14:40

period of time

14:41

and i it took a while and i figured it out it's because that is one of the only

14:49

intervals of time in the entire week when every single stock market in the

14:56

world is closed

14:58

uh so they they did it to show that they could do it and have their fun but

15:04

they didn't want to get

15:05

attention and if they had if they had interfered with with financial

15:08

transactions they would have

15:09

gotten a lot of attention so no one was ever caught no one was ever caught but

15:14

they never denied

15:15

that this happened either so this was done through google for sure they know

15:22

this how

15:25

they they it's it's it's reported in the news reports and the and google was

15:31

queried and google

15:32

said yeah yeah that did happen yeah we fixed it so how does google have the

15:35

ability to even do

15:36

something like that how can that even be done well that that's what i explained

15:39

in that article is

15:40

it's they they have blacklists uh let me let me jump ahead and then i'll okay

15:47

okay but let me just

15:48

jump ahead for a second because i you gotta you gotta see really how sinister

15:52

this whole thing is it's just

15:54

seriously if you knew if you knew a half of what i know about all this dark

16:00

tech stuff you would just

16:03

say the hell with it and just give up you'd say i don't want to i don't want to

16:06

bring up kids in

16:07

this kind of world this is too crazy anyway blacklist so i'm i feel like we

16:12

need to stop you there and

16:14

make you elaborate like what are you saying well there's well what what i ended

16:21

up doing

16:23

which i think we should get to later in some detail if you're still interested

16:30

yes what i ended up doing

16:32

was i started doing uh randomized controlled experiments to see what kind of shenanigans

16:39

are

16:39

out there to see what kind of power these companies have especially google and

16:44

i am still almost month

16:47

by month making more discoveries running more experiments getting very

16:51

disturbing data i mean

16:52

so disturbing we we just figured out uh i think within the last month

16:59

that a single question and answer interaction on alexa so you ask alexa a

17:07

question and let's say it's

17:08

about uh i don't know some political issue or political candidate something you're

17:13

undecided

17:13

about so you ask alexa and alexa gives you back an answer and the answer let's

17:18

say has a bias in

17:20

other words it favors you know one candidate favors one party favors one cause

17:24

right a single

17:26

question and answer interaction on alexa in a group of say 100 undecided people

17:33

can shift opinions by 40 or more one interaction if there are multiple

17:42

questions asked on that topic

17:43

over time you can get shifts of 65 or more with no one having the slightest

17:50

idea that they have been

17:52

manipulated but are they doing it to manipulate you or is it just the fact that

17:57

they distribute

17:58

this information based on their algorithm it's manipulating you just by default

18:03

because the higher

18:06

or more likely you find this information from the search engine like that's

18:10

what you're gonna that's

18:11

what's gonna influence your opinion but are they doing it to influence your

18:14

opinion or is that just

18:15

the best answer like if you have a question

18:19

who is dr robert epstein yes who who is he yes that's you so if i ask that to alexa

18:28

and then

18:28

it pulls up these results it's going to pull up supposedly the most relevant

18:33

result

18:35

now are they they have to have some if you're if you have something like alexa

18:40

where you're asking a

18:41

question and it's just reading it back to you there has to be like some sort of

18:46

curation of that information right

18:51

confession okay okay i uh have have not followed joe rogan over the years okay

19:00

i have five kids my two

19:01

eldest sons are like the biggest your biggest fans in the universe my eldest

19:06

son is technically a bigger

19:08

son a bigger fan than the other son because he's recently gained 60 pounds

19:13

because of covid so he's

19:14

definitely the bigger of the two fans julian julian and justin yeah you get it

19:18

so anyway uh but i i'm

19:22

not i don't follow joe rogan right okay so now i've had to bone up and actually

19:29

had to listen i was

19:31

forced i had to listen to some of your shows and you know i'm thinking wow this

19:36

is interesting this guy

19:38

is genuinely curious about things you you really are genuinely curious it's

19:45

crazy well what's crazy

19:46

is that that's crazy that's not it's not crazy to be curious most people are

19:50

curious aren't they

19:51

uh no not like you because you you actually you you dig in and you really want

19:57

to know and i'm i am

19:59

i'm now i'm so that's that's all right now now i'm going to say something that's

20:05

not so nice which

20:07

is on this issue by the questions you're asking me i can tell you have no idea

20:13

what's going on well i

20:16

kind of do but you have to understand the way i do a show okay one of the

20:19

things that i do when i want

20:20

you to elaborate on information it's like maybe i know something but i want you

20:25

to elaborate to

20:26

everybody else that's listening so you pretend you don't know i don't pretend i

20:28

don't know i just ask

20:29

you questions i don't play stupid but i do ask questions like please tell me

20:34

more or elaborate or where

20:36

where did you come up with this or how do you know this for sure maybe i know

20:39

how you know it for

20:40

sure but i want you to tell everybody so that's the question you asked was the

20:46

dark stuff well

20:48

you're you're saying all this stuff that looks maybe it's biased maybe it might

20:52

influence people

20:53

you know you know where is it coming from maybe it's just the algorithm uh well

20:58

let's say it's

20:58

just the algorithm well the algorithm was programmed by human beings okay and

21:03

those human beings have

21:04

um biases they they have beliefs and there's a lot of research now showing that

21:11

uh that bias whether

21:13

it's conscious or unconscious gets programmed into the algorithms so the

21:18

algorithms all by themselves

21:20

have biases built into them there's one way it can go second way it can go the

21:26

marius milner effect

21:27

you ever hear of marius milner no okay oh this is great this is great okay marius

21:34

milner okay

21:36

a few years ago you probably heard that google got busted because their street

21:41

view vehicles were

21:43

driving up and down they're still driving up and down streets all over the

21:45

world but they had been

21:46

driving up and down streets all over the world more than 30 countries for more

21:50

than four years and they

21:52

weren't just taking pictures of our houses and our businesses they were also

21:57

sucking up wi-fi data

22:00

massive amounts i mean we're talking terabytes of wi-fi data passwords

22:06

everything including a lot of very

22:10

deeply personal stuff so if someone just like me a professor type figured this

22:16

out reported them to

22:18

the government the government went after them and so this is called this is

22:24

called the google street

22:25

view scandal and so they got a fined 25 000 for interfering with the uh the

22:31

investigation and then

22:33

and they blamed the entire thing google blamed the entire operation on one

22:38

software engineer his name

22:39

is marius milner oh so they fired him oh no no that's not true

22:48

he's a hero at google he's still working there if you look him up on linkedin

22:52

his his his profession

22:54

is hacker he's a hero at google they didn't fire him okay this is they love

23:02

this kind of stuff so

23:03

another possibility besides the algorithm itself is a single rogue programmer

23:10

at the company

23:12

can fiddle with what with content can fiddle with any content and when when a

23:19

single road rogue programmer

23:22

does that guess what that shifts thinking and opinions and behavior and

23:28

purchases and votes

23:29

a single rogue programmer can do it and then of course there's the executive

23:35

level the executives

23:38

can pass along a a mandate a policy does that ever happen oh yeah one of the

23:46

links leaks rather one of

23:48

the leaks from google that you may may have seen uh and i know the guy who

23:53

leaked it it's a zach vorhees

23:55

who's also a good person for you to talk to because he was a senior software

23:59

engineer at google for eight

24:00

eight years and then he he just couldn't stand it anymore and he quit but

24:04

unlike most of these people who've

24:06

walked away he brought with him 950 pages of documents and a video the video is

24:12

two minutes long and it shows

24:14

the ceo of youtube which is owned by google her name is susan wojjitski and she's

24:21

talking to her staff

24:22

and she's explaining this is 2017 after the horrible election results of 2016

24:29

and she's explaining how

24:32

they're altering the up next algorithm in youtube to push up content that they

24:39

think is legitimate and to

24:41

suppress content that they think is not legitimate so if it's happening at that

24:47

level the executive level

24:49

again it still has the same effect any of these possibilities and there are

24:53

others as well

24:54

and there are others as well it ends up giving us content that that impacts us

25:01

and our kids especially

25:02

in ways that people are entirely unaware of so the way the way i like to put it

25:10

is this

25:11

you don't know what they don't show now i'm still confused as to how google can

25:20

blacklist websites and

25:22

how they can shut down the entire internet for 40 minutes because do they have

25:28

a switch i mean like

25:29

is there a connection that all websites go through google like how is that

25:33

possible about three years ago

25:36

they shut down all of japan accidentally uh well that's you know that would

25:43

take a whistleblower to

25:45

figure that one out um they uh it was in the news at one point that the guy who

25:52

was

25:53

in charge of these making these decisions he actually has left google uh he he

25:58

once shut down an entire

26:00

domain name which had 11 million websites on it because he thought it was uh

26:07

kind of poor quality

26:09

poor quality yes poor quality like how how so i don't know he this is just his

26:15

his take that it was poor

26:17

quality i have a copy of the internal manual i'd happy to send it to you from

26:21

from google that showing

26:23

the criteria they use in deciding you know which content to suppress and and

26:27

some of the criteria are

26:29

pretty straightforward having to do with pornography and things like that and

26:33

then there's this like

26:35

wide open area that that says um or anything else or anything else pretty much

26:42

yeah so you it's up to

26:43

the discretion of the engineer there's a lot of discretion involved in making

26:49

these decisions and a lot of

26:51

the decisions that get made in very recent years since since trump was elected

26:55

uh they happen to be

26:57

decisions for the most part that suppress uh conservative content but not

27:02

always not always now

27:04

now i'm gonna go now i'm gonna circle back can you please explain again you i

27:09

still don't know how

27:10

do they shut down the internet how does google have that ability uh let's see

27:20

uh let's see

27:22

i can answer the question but it's not it's not as it's not a simple answer it's

27:28

not like they they

27:29

have a switch okay okay but uh i'll give you a couple a couple of clues here

27:35

okay okay first of all what's

27:37

the most popular browser right now it's chrome by far well chrome is their

27:42

browser so obviously anyone

27:43

using their browser it's a simple matter for them to to block anything to block

27:49

access to anything

27:50

through chrome so that one's easy right okay they can block access to anything

27:54

through their search

27:55

engine which is used for 92 percent of all search around the world so that

28:00

takes care of a lot right

28:01

there um then we get to uh let's say siri do you use an iphone or apple i use i

28:09

why i use both iphone

28:11

or android you mean yeah i use both yeah so siri where does siri get all her

28:16

answers from

28:19

google oh good guess nice yes uh so okay uh let's take uh oh let's take firefox

28:31

okay firefox um

28:34

before firefox takes you to to the website that you just typed in

28:42

uh guess what they have to make sure it's safe so how do they make sure it's

28:45

safe

28:45

i don't know oh they check check well they check google's blacklist this is

28:53

what happened when you

28:55

would that day or during that time period when you search something on google

28:58

and you clicked it

28:59

you would get this warning visiting this website may harm your computer yeah

29:06

there might i think maybe you

29:07

could continue through like you can it happens from time to time now for

29:11

strange reasons i don't know

29:14

do not proceed to internet yeah i don't know what happened then what about if

29:17

you go through safari

29:18

or what if you go through apple's browser safari same thing safari before they

29:22

take you anywhere

29:23

they've got to check google's blacklist so not only is google getting

29:27

information about your search on safari

29:30

the fact is if google wants to block you from going there through safari

29:34

it's it's it's they just add it to their blacklist in other words if they put

29:39

everything on their

29:40

blacklist then no one can reach anything really yeah really so all browsers go

29:47

through google

29:48

except brave except brave yeah that's the only one uh you know there's there

29:55

are small browsers out

29:56

there no one's ever heard of but i mean uh the google's google's influence on

30:03

the internet is

30:04

it's it's it's beyond monopoly they're they're they're really in charge outside

30:10

of china and north

30:11

korea they're in charge of pretty much everything that happens on the internet

30:15

um

30:16

yahoo let's take yahoo yahoo used to be one of the big search engines yeah and

30:22

some people still use it

30:24

except yahoo stopped crawling the internet about five years ago or more they

30:30

don't crawl the internet

30:32

anymore they get their their content from google really yeah so yahoo isn't

30:37

really a search engine

30:38

it just searches google and your second favorite uh duck duck go is also not a

30:44

search engine god damn it

30:47

what is it it they they have a crawler they do have a crawler so so but they

30:52

and they do a little crawling

30:54

but actually what duck duck go does is it it's a database aggregator they're

30:58

checking databases

31:00

and what is the difference there oh night and day in other words google is

31:05

literally looking at

31:06

you know billions of websites every day and it's looking for updates and

31:11

changes and new websites and

31:12

this and that so it's crawling and it's extracting information especially

31:16

looking for links because

31:17

that's how it gets you good information it looks for what's linking to what

31:21

okay uh but duck duck go

31:24

doesn't do that duck duck go is looking at databases of information and it's

31:28

trying to answer your question

31:30

based on information that is in databases lots of different databases that's

31:34

not what google does google's

31:36

really looking at the whole internet and the brave search engine what does it

31:40

do um the brave search

31:44

engine is crawling so it is crawling uh it can't do it at the same level that

31:49

google can but obviously

31:50

but this guy you know brendan ike is very ambitious so he's you know he wants

31:55

to do it at that level

31:57

so no no they're they're doing brave is trying to do what what google does

32:03

except uh preserving privacy

32:06

and suppressing ads and it seems like what happened with google before anyone

32:14

even understood

32:15

that the data is so valuable before anyone is it was too late it was already uh

32:22

an inexorable part of

32:24

day-to-day life that people are using that and that people are using gmail and

32:28

using all these services

32:29

and just giving up their data yeah yeah well that's so there's no there's no

32:35

consideration like there's

32:37

no regulation no there's no regulation there are no laws uh and in fact uh the

32:43

courts have ruled over

32:45

and over again when someone has gone after google uh that google can do

32:49

whatever they want so i'll give you

32:51

an example a case i was following very closely and i was kind of working with

32:55

these people to some extent

32:57

florida company called e-ventures so again someone at google it might have been

33:02

that same guy that i

33:04

mentioned earlier i think his name was matt cuts or something like that they

33:09

they all of a sudden shut

33:10

down hundreds of urls that were that were that e-ventures was using for its

33:17

business saying they

33:18

were not good quality okay that that i mean for you to get that much

33:23

information out of google is like

33:25

pulling teeth because normally they just don't tell you anything but anyway so

33:29

they shut them down nearly

33:31

shut down the company the company decided to sue so google of course kept them

33:38

hung up in court for

33:39

like a couple years because they wouldn't they wouldn't provide any any

33:43

information through

33:44

discovery and that's google always does that they just they won't they just

33:49

stonewall you just even on

33:51

discovery which is like preliminary stuff before a lawsuit anyway so e-ventures

33:58

keeps pushing pushing

33:59

pushing pushing pushing finally goes to court and e-ventures loses and they're

34:07

slaughtered literally

34:08

the decision of the judge in the case was google is a private company it can do

34:14

what it wants it can

34:15

demote you in search engine in search rankings it can it can delete you it can

34:22

block access to your

34:24

websites it can do anything it wants that that literally that was the decision

34:29

so let's say if donald trump runs again in 2024 and they have a trump campaign

34:36

website google can

34:37

decide that that website is a poor quality and deny people access to it so that

34:42

when people go to

34:43

google donald trump they will never see his website correct that's wild well

34:49

they they block access every

34:51

day to several million websites so it's not it's this is not a rare thing that

34:55

they do and they block access

34:57

that's based on their own decisions like they're internal they don't have to

35:01

justify them they don't

35:02

have to have a criteria that they can establish that they're doing the right

35:06

thing they just do it and

35:07

in the united states there are no relevant laws or regulations in place to to

35:12

stop them do our regulators

35:15

and do our elected officials even understand this is this something that is of

35:20

concern to them has

35:21

this been discussed there are a couple of them who understand uh the the the i

35:26

know and there are a

35:28

couple of the attorneys general whom i know who understand doug peterson from

35:32

nebraska he

35:34

totally understands uh ted cruz he's he's he was behind my invitation to

35:39

testify you know before

35:41

congress a couple months later he invited me to dc we sat down had a four-hour

35:46

dinner fabulous we never

35:48

stopped talking uh and we never talked politics we did not talk politics the

35:53

whole time we just talked

35:54

but he's hamstrung he can't how do you fight the most effective mind control

36:07

machine that's ever been

36:08

developed which also is very rich has 150 billion dollars in the bank right now

36:14

in cash makes huge

36:17

donations to uh political candidates uh and then can shift votes millions of

36:25

votes nationwide without

36:27

anyone knowing that they're doing so how do you fight that and it's not

36:32

something that they set out

36:35

to do when they first created the search engine it seems like because of the

36:39

fact that this is something

36:40

that was you know it was initially so you could search websites it was that's

36:46

what it was right

36:47

did they did they know when they first made this that they were going to be

36:52

able to have the kind of

36:53

power that they have today or is this something that we all have sort of awoken

36:57

to okay i don't know uh

37:00

sergey brin uh larry page the founders i don't know them i've lectured at stanford

37:05

in the same building

37:06

where they invented google which was kind of cool but i don't i don't know them

37:09

but i

37:10

think that i think these guys were were and probably still are utopians i think

37:15

they you know they had

37:17

the best intentions in mind the first top executive ever to leave google is a

37:23

guy named james whitaker

37:25

who's gone completely silent by the way in recent years completely silent but

37:30

he was the first real

37:31

executive to leave google he finally issued a statement he was under pressure

37:35

you know why did you leave

37:36

why did you leave he issued a statement which you can find online it's

37:40

fascinating to watch to see this

37:42

and he says look when i first joined google which was practically in the

37:46

beginning he said it was just

37:47

a cool place and we were doing cool things and that was it he said and then he

37:53

said a few years later he

37:55

said we turned into an advertising company he said and it was no more fun it

38:01

was it it was brutal it was

38:04

this is brutal profit driven ad company now if you don't think of google as an

38:09

ad company then again

38:12

you're not you're not getting it there they are the largest advertising company

38:17

by a factor of 20. i think the next

38:19

largest one is based in london but google is what it's doing is tricking you

38:25

tricking all of us well

38:27

not me personally but it's tricking you into giving up personal information 24

38:31

hours a day even when you

38:33

don't know you're giving up personal information and then it's monetizing the

38:36

information mainly by

38:38

connecting up uh vendors with potential buyers it's an advertising company and

38:46

so whitaker actually quit

38:48

because the the nature of the business changed and then of course everyone

38:53

knows about google's

38:54

slogan right don't be evil yeah but no one seems to know that they dropped that

39:02

slogan in 2015.

39:04

didn't they just add it to a part of a larger slogan didn't we go over that jamie

39:10

there was like

39:11

a thing i'm trying to remember what they exactly did because we were sort of

39:15

like oh my god they said

39:17

they said don't be evil and now they don't say it anymore maybe maybe they're

39:21

evil but i think they had

39:24

added something and made it longer and so it wasn't it wasn't that it's not

39:29

their slogan anymore it's just

39:31

their slogan sort of morphed right was that it jamie will find it in a moment

39:38

can i can i go back to

39:39

something okay i just want to go back to blacklist yes because i wrote this big

39:45

piece on nine of

39:47

google's blacklists their biggest one is called the quarantine list that's that

39:52

list that safari has to

39:54

check and that list that firefox has to check everyone has to check that list

39:59

before they take you to a

40:00

website so that's a simple way simple tool that google uses to block access to

40:04

websites because we go to

40:06

websites through browsers right okay there we go i had never seen any of those

40:11

nine blacklists but i knew

40:13

they existed as a programmer and i talked about each one in detail 2019 i'm

40:18

invited to testify about my

40:22

research uh on my experiments on manipulation and you know how i monitor

40:29

elections now and all that stuff so

40:31

who who testifies before me uh a top executive a vice president from google

40:37

he's under oath you know he's sworn in the senators are asking him some really

40:43

tough questions

40:46

and he's asked point blank

40:47

does google have blacklists i think the full question might be might have been

40:55

does google have

40:56

white lists and blacklists and his reply was no senator we do not so that was july

41:02

of 2016

41:04

uh 2019 rather 2019 okay in august literally three weeks later zach forhey so i

41:12

mentioned earlier that's

41:14

when he leaves google google google sends uh like a what's that called when

41:21

when the police oh swat team

41:24

google sends a swat team after him i kid you not yep so they were out very

41:30

unhappy because he stole all this

41:32

stuff okay and he sent it he put it all in a box and sent it to the attorney

41:36

general of the united states

41:38

okay this is 2019 august this is only less than a month after this hearing

41:42

so he's got 950 pages of documents all kinds of documents and three of them

41:50

are google blacklists which are actually labeled blacklists now if i were if i

41:58

were putting together

41:58

blacklists at my company i would call them shopping lists i would call them you

42:03

know uh i don't know

42:05

makeup lists uh you know lists for my kids uh birthday presents or i i wouldn't

42:12

call them blacklist

42:14

so there there are actually three of them he walked out with so you can look at

42:20

the list you can see

42:21

who's on the list you can see these are almost all or many of them prominent

42:26

conservative organizations

42:28

there there are no left-wing organizations on those lists so this is real this

42:35

is this is how they

42:36

operate and they operate this way do you think they do this because uh are they

42:41

financially driven to put

42:43

those people on blacklist is it uh maybe some i mean it's obvious obviously

42:48

speculation but is it maybe

42:50

some sort of a deal that they've made with certain politicians is it something

42:54

they've decided on their

42:56

own because this is the right thing to do to suppress the bad people that put

43:01

donald trump into office

43:02

like why why are they doing that what you just did was amazing

43:09

what i do because you got it almost all of it you just yeah that's it came up

43:13

with it hypothetically

43:14

but you left out one area so the two areas you you you just nailed one is to

43:19

make money right so they

43:21

have three motives one is to make money and they that they do extremely well

43:26

and and no one who's who's

43:27

tried to tangle with them has has stopped that process in other words the the

43:32

the rate at which

43:33

they're making money continues to increase every year so a few years ago when i

43:37

was first looking at

43:38

them they were bringing in a hundred billion dollars a year now they're

43:41

bringing in 150 billion dollars a

43:43

year money that's number one number two values okay this this i could i could

43:49

talk for hours on this

43:52

issue because of recent leaks of videos powerpoint presentations documents and

43:59

of course what whistleblowers

44:01

have been revealing they have very strong values there because the founders had

44:07

very strong

44:08

values and they hired people who had similar values and they have really strong

44:11

values and they

44:13

they want the world to have those values they they really think that their

44:19

values are more valuable

44:21

than other people's values which means they don't understand what values are

44:25

because and so their

44:27

values are they're pretty much all of tech is very left-leaning very left-leaning

44:32

so 94 96 percent

44:36

of all donations out of google go to democrats which i sympathize with i'm from

44:42

a family of democrats i lean

44:44

left so i say yeah fine that's fine that's fine but it's not fine it's not fine

44:49

because they they

44:51

they have the power to impose their thinking on other people around the world

44:56

in in a way no one has ever

44:59

had such power ever so values is second and they really and this is serious one

45:04

of the leaks from

45:05

google was an eight minute video which you should definitely watch it's so

45:10

creepy and it's called the

45:12

selfish ledger and it's eight minutes and it was it was put together by their

45:17

advanced their super secret

45:18

advanced products division it was never meant to leak out of that company and i

45:22

i have a transcript of it too

45:24

which i've published so i can get you all that stuff but point is what is this

45:29

about this is about the

45:31

ability that google has to re-engineer humanity

45:37

uh according to uh according to company values

45:41

re-engineer humanity according to company values yes and this is a directive

45:47

like this is something

45:48

they're doing purposely well in the videos in the video they're they're

45:52

presenting this as

45:54

as an ability that we have this is an ability that we have

45:58

so that's the second area you nailed it third one you didn't mention the third

46:09

one is uh intelligence

46:11

because they uh they had some support uh page and brin right in the very

46:17

beginning at stanford

46:19

they had some support and and had to be in regular touch with uh

46:24

representatives from the nsa

46:26

the cia and another intelligence agency the intelligence agencies uh were doing

46:32

their job

46:33

okay they they realized that the internet was growing this is 1990s so they

46:39

realized that the internet is growing

46:43

and they were thinking hey these are people building indexes indices to the

46:49

content so

46:50

sooner rather than later we're going to be able to find threats to national

46:56

security

46:56

by looking at what people are looking up if someone is going online they're

47:02

using a search engine to

47:04

to find out instructions for building bombs for example okay that's a potential

47:11

threat to national security we

47:13

want to know who those people are so right from the outset okay and this is

47:17

totally unlike brave okay

47:19

brave doesn't do this but right from the very very beginning the the google

47:25

search engine was set up

47:27

to track and preserve search history so in other words to to keep track of who's

47:35

doing the search

47:37

and where did they search that is very very important to this day for

47:43

intelligence agencies

47:46

so google to this day works very closely with intelligence agencies not just in

47:51

the u.s but other

47:52

agencies around the world so those are the three areas money values

47:57

intelligence and the intelligence stuff

48:00

is legit i mean it's legit you know it is an obvious place if you're if you're

48:06

in law enforcement

48:09

that's an obvious place to go to find bad guys and girls yeah so google has

48:18

this ability that they've

48:21

proclaimed that they can court sort of shift culture and direct the the opinion

48:29

of things and direct public

48:33

consciousness what percentage like how much of a percentage do you think they

48:38

have in shifting do

48:39

they have like a 30 percent swing like what well see this is what i do now you're

48:45

getting now you're now you're

48:46

getting close to what i actually do what i've been doing for for now for over

48:50

nine years

48:50

i quantify this is exactly what i do every single day that's what i do my that's

48:56

my my team my staff

48:57

that's what we do and it's and it's cool and talk about cool we're we're doing

49:03

the cool stuff now okay

49:04

google is not we're doing the cool stuff because we are we have discovered a

49:10

number of different tools

49:13

that google and to a lesser extent other companies use to shift thinking and

49:19

behavior and what we do in

49:23

randomized controlled experiments which are also counterbalanced and double

49:27

blind and all that

49:28

stuff we measure the ability that these tools have to shift thinking and

49:36

behavior and we pin it down

49:38

to numbers percentages proportions uh we we can make predictions in a in an

49:44

election about how many votes

49:47

can be shifted if they're using this technique or these three techniques or and

49:51

uh so we yeah that's

49:54

what we do so we've we started with the search engine and uh and we it it took

50:01

years and years of work

50:03

but we we really i think at this point have a good understanding of what the

50:07

search engine can do

50:09

uh but then along the way we discovered other tools that they have and which

50:14

they are definitely using

50:16

and how do we know they're using these tools well we can get to that but what

50:20

are the tools

50:20

well the first one we called seam search engine manipulation effect and that

50:25

means

50:26

they're either allowing uh you know one candidate or one party to rise to the

50:32

top you know in search

50:33

training or they're making it happen and you don't know for sure whether you

50:38

know which is which is

50:40

occurring unless there's a whistleblower or there's a leak okay but the fact

50:43

that it's occurring at all

50:45

that's important right i mean we don't in a way we don't care because if it's

50:50

just the algorithm

50:51

that's doing it well that's horrible that means that that means literally a

50:55

computer program is deciding

50:58

who's going to be the next president who's going to be the next senator do we

51:01

want that decision made

51:03

by an algorithm so anyway we we we spent a lot of time on that we're still

51:10

studying seam uh then we

51:13

went we we learned about sse which is search suggestion effect when you start

51:18

to type oh in fact if you

51:20

have your phone handy this will be fun if you if you start to type uh a search

51:24

term into the box a search

51:26

box you're you're there uh suggestions flashed at you as fast as you're typing

51:32

that's how fast those

51:33

suggestions come right well guess what we learned in controlled experiments

51:38

that by manipulating the

51:41

suggestions that are being flashed at people we could turn a 50 50 split in a

51:46

group of undecided voters

51:48

into nearly a 90 10 split wow without anyone having the slightest idea that

51:55

they're being manipulated

51:58

that's just by manipulating search suggestions just by suggesting yes and and

52:04

the reason why um we

52:06

started that work because in june of 2016 uh a a news organization a small news

52:13

organization released a

52:15

video which went viral on youtube and then got blocked on youtube frozen still

52:22

frozen uh but then it

52:25

continued to go viral on facebook so 25 million views in this little video

52:31

there this news organization is

52:33

saying we've made a discovery uh when you go to google.com and you look for

52:39

information about

52:40

um hillary clinton you can't get any negative search suggestions

52:47

really really really so if you and they showed this in there what if you google

52:51

like clinton body count

52:53

you you you you could not get negatives

52:57

really yeah it would it would give you nothing probably for clinton body count

53:03

but as you're typing you go clinton b it would go you know clinton um um buys

53:10

the best clothes i don't

53:11

know it would give you something like that it would not give you something

53:14

negative so for example

53:15

hillary hillary clinton or hillary clinton is you do it on and they showed this

53:21

you do it on yahoo

53:23

uh you do it on bing and you get hillary clinton is the devil hillary clinton

53:28

is evil hillary clinton

53:30

you know right poison hillary clinton and literally they they're showing you

53:33

eight or ten

53:34

items that are extremely negative you can check on google trends that's in fact

53:39

what people are

53:39

really searching for so bing is showing you what people are searching for hillary

53:44

clinton is on google

53:46

at that time gives you guess what what hillary clinton is awesome hillary clinton

53:53

is winning

53:55

that's it two suggestions so that's why we started doing these this research on

54:02

search suggestions

54:03

because i kept thinking why why would they do that why would they suppress

54:09

negatives for a candidate

54:10

they presumably support and we figured it out

54:18

it's because did you ever hear of negativity bias yes okay so this is also

54:24

called the cockroach in

54:24

the salad phenomenon so you've got this big beautiful salad you see a cockroach

54:28

in the middle

54:28

it ruins the whole salad we are drawn our attention is drawn to negatives

54:34

negatives right and that's good

54:37

for evolutionary purposes good for survival so ruins the whole cell the

54:41

opposite doesn't work if you have a

54:43

plate of sewage and you put a nice piece of hershey's chocolate in the middle

54:47

it does not make the sewage

54:51

look any more appetizing so we're drawn to negatives well google knows this

54:56

okay and we we've quantified it

54:59

basically if we allow one negative to pop up in a list and the rest are neutral

55:05

or positive suggestions

55:07

that one negative for certain demographic groups can draw 10 to 15 times as

55:13

many clicks

55:14

as the other suggestions so one of the simplest ways to support a candidate or

55:21

a cause

55:22

is for your candidate or cause okay you suppress the negatives it's a simple

55:29

look up you look at you're

55:30

looking up what's called the linguistic valence of the term it's simple look up

55:34

takes you know a nanosecond

55:36

and if it's if it's your cause your candidate okay you delete it it's gone

55:41

people don't see it but you

55:44

let the negatives pop up in the search suggestions for the other candidate or

55:49

the other cause and what

55:52

that does is it draws people who are looking up let's say donald trump it draws

55:58

people to to websites to

56:01

well first of all it generates search results that make that person look bad

56:07

because you just clicked

56:09

on um donald trump is evil and so you clicked on that caught your attention

56:15

boom you get a bunch of

56:17

search results that support that you click on any of them and now you're at a

56:21

website that makes him look

56:23

terrible very very simple kind of manipulation so subtle all you do is suppress

56:31

negative suggestions for the

56:34

candidate or the cause that you support and as i say we so we did a you know

56:40

series of experiments we

56:42

figured out okay to what extent can we mess with a group of a hundred people or

56:47

a thousand people and

56:49

and yeah we can turn a 50 50 split among undecided voters into nearly a 90 10

56:56

split when did they

56:58

first start implementing this sort of search engine manipulation when when did

57:02

they implement the

57:03

suggestion manipulation well we were we were able to estimate that to some

57:09

extent and by the way the

57:11

this this uh landscape keeps changing so i'll give you an example when they

57:18

first came up with search

57:20

suggestions uh it was actually one engineer there came up with this thing and

57:25

it's it was cool and it was an

57:26

opt-in things when it first came out i think it was 2009 and and it was cool

57:32

and it was helpful because

57:34

that that was the idea initially so then over time i think you know with a lot

57:40

of these services a lot of

57:42

these you know these little gizmos people figured out that wait a minute we can

57:48

we can do things you know

57:49

that maybe we didn't intend to in the beginning but we can use these for

57:54

specific purposes so anyway

57:57

so at some point or other couple years later it was no longer opt-in in fact it

58:04

was

58:05

automatic and you can't opt out that's the first thing that happened and then

58:10

you may remember there

58:12

were always 10 items in the list initially but then uh 2010 or so suddenly they

58:21

dropped to four items

58:23

so in our experiments we actually figured out why they were showing four items

58:30

and we went public with

58:31

that information in 2017 and three weeks later google went back to 10 items

58:38

why do you think they went to four because four is the four is exactly from we

58:44

know from the research

58:46

is exactly the number of search suggestions that allows you to maximize your

58:51

control over people's

58:53

searches because look if the list is too long and you've got a negative in

58:58

there

58:58

they're not going to see it i mean imagine if you had a hundred a hundred

59:02

search suggestions and you

59:04

had one negative right so it has to be short enough so that they the negative

59:09

pops out right but it can't

59:11

be too short if it's too short then the likelihood that they type in their own

59:16

damn search term and

59:17

ignore your suggestions goes up so there has to be this optimal number it turns

59:22

out the optimal number

59:24

to maximize your control over search is four wow and we also learned that you

59:35

are being manipulated on

59:37

google from the very first character you type into the search box if you have a

59:41

phone handy i can prove

59:44

it okay so i'll google and this is going to be by the way the last time

59:51

so you're you're all those of you who are watching or listening uh you're all

59:56

witnesses is the last

59:57

time that joe rogan ever uses google ever really well watch okay okay so you

1:00:06

got google up there right

1:00:07

yes and and you're in the search box yes type a what's it suggesting amazon

1:00:17

yeah well it's doing more than one suggestion what are the suggestions amazon

1:00:21

uh academy sports and

1:00:22

outdoors amazon prime houston astros uh and then a bunch of other people alamo

1:00:30

draft house american

1:00:31

airlines so your first and third suggestions and notably the first position is

1:00:36

the most important

1:00:37

are amazon yes well it turns out everywhere in the world where amazon does

1:00:42

business

1:00:43

if you try to search for anything beginning with the letter a and you type a

1:00:48

google suggests amazon

1:00:49

why is that well it turns out amazon is google's largest advertiser and google

1:00:57

is amazon's largest

1:00:59

single source of traffic it's a business relationship get it if you type t you're

1:01:06

going to get target and so

1:01:07

on but what's interesting is when you type g just type g all right

1:01:13

what do you think i'll get well tell us tell us what you got grand seiko

1:01:22

nothing interesting on there at all no gastronomical and then number four is

1:01:31

google translate

1:01:34

number five is gmail number six is google okay oh it's starting to see a

1:01:39

pattern here yeah but i mean

1:01:40

like the first ones are all like something that i would look up well they know

1:01:45

your history right so

1:01:46

they know they know who you're who they're so the first ones with g they'll

1:01:51

allow you to have a little

1:01:52

like it's they allow you to actually look up the things you're interested in or

1:01:57

suggest things you're

1:01:58

interested in first of all you're joe rogan okay so they may allow you to do

1:02:03

all kinds of things

1:02:04

do you like have specific allows for people like me yeah everything's

1:02:08

personalized but i mean is it

1:02:10

it personalized on purpose or personalized through the algorithm that sort of

1:02:16

represents what you

1:02:17

normally search for yeah that's called on purpose yeah no but i mean like it's

1:02:23

they're not doing it

1:02:23

specifically because it's me like if i was any any other person that was maybe

1:02:28

anonymous but i also

1:02:30

looked up those things for most people to answer your question for most people

1:02:37

and and and folks out

1:02:39

there literally pick up your phones go to google.com which by the way this is

1:02:43

the last time you're ever

1:02:44

going to use google.com and but just type in g and see what you see most people

1:02:51

if they're getting

1:02:52

five suggestions four out of the five will be for google so the the the lesson

1:02:58

there is if you're

1:02:58

starting a new company don't start don't name it with a g right yeah no g

1:03:05

because so that what they're

1:03:08

showing you the point is has to do with their their agenda their motives okay

1:03:13

every single thing that

1:03:14

they're doing has to do with their motives which have to do with money values

1:03:19

and intelligence and

1:03:22

a public library does not do that you go you borrow some books you ask some

1:03:29

questions you get some

1:03:30

answers that's that this is that's what the way the internet was meant to be

1:03:37

it wasn't supposed to be this the the whole you know internet around the world

1:03:43

controlled

1:03:44

mainly by two huge monopolies and to a lesser extent by some smaller monopolies

1:03:50

like twitter

1:03:51

it wasn't supposed to be that way it was supposed to be like the public library

1:03:55

right

1:03:56

and it is possible you see you can set up a company like brave that doesn't

1:04:03

play these stupid games and

1:04:05

doesn't fool you and it's not it's not deceptive this is this is the business

1:04:10

model that google invented

1:04:12

it's called the surveillance business model is fundamentally deceptive because

1:04:19

up here at the

1:04:20

level that you're you're you're interacting with it it looks like public

1:04:24

library free cool and down here

1:04:27

underneath it's something completely different there's no reason for that tim

1:04:33

tim cook who's

1:04:34

the still the ceo of apple has publicly said this is pretty recent publicly

1:04:39

said that this is a creepy

1:04:41

business model and it should not be allowed well that is one area where apple

1:04:46

deserves credit right that

1:04:48

apple has not taken up that same sort of um net like surveillance where they

1:04:53

just kind of cast

1:04:55

the net over everything you do and then sell it to advertisers and you you can

1:04:59

opt out of certain

1:05:00

things in terms of like allowing apps to track purchases or allowing apps to

1:05:05

track your your use

1:05:07

on other devices or on other um applications rather i i wish i could agree with

1:05:14

you but i can't because

1:05:15

the fact is apple is still collecting all this information apple is still

1:05:19

listening

1:05:20

uh it's they're doing the same things it's just that at the moment so far you

1:05:26

know under the leadership

1:05:28

they have right now okay but that can change in a heartbeat let's talk about

1:05:34

microsoft okay so you

1:05:37

probably know that microsoft was google's enemy number one microsoft was sued

1:05:45

google in practically every

1:05:47

courtroom in the world microsoft was submitting regulatory complaints microsoft

1:05:52

was funding

1:05:53

organizations that existed to do nothing else but fight google uh for a long

1:05:58

long time early 2016

1:06:02

google and microsoft signed a secret pact so the fact that the fact that the

1:06:08

pact again you know was

1:06:11

signed that somehow leaked but to this day no one knows the details of what's

1:06:15

in it except here's what

1:06:17

happened simultaneously both companies around the world dropped all complaints

1:06:22

against each other

1:06:23

google excuse me microsoft withdrew all of its funding from all the

1:06:27

organizations that had been supporting

1:06:30

and there are some people who believe because of bing microsoft's search engine

1:06:39

uh which draws about

1:06:41

two percent of two percent of search by the way it's not it's no uh it's no

1:06:44

google it had been bleeding money

1:06:47

for microsoft for years and some people believe that bing as part of this deal

1:06:55

uh started drawing search results from google we don't know but we do know this

1:07:02

that windows 10

1:07:06

windows 10 is a tracking tool windows 11 is a tracking tool these these these

1:07:12

new operating systems are so

1:07:15

aggressive in tracking that it's very even if you're a tech geek like me it's

1:07:21

very very hard

1:07:23

to get rid of all the tracking so i'm i'm still using windows 8.1 believe it or

1:07:29

not or windows 7.

1:07:30

why didn't you switch to linux or unix or something like that

1:07:34

well we use that for certain purposes as well but i mean for general stuff that

1:07:38

you do you kind of

1:07:39

you know if you're if you're using desktops and laptops you you know windows is

1:07:43

still the way to go

1:07:45

except the company shifted it has been shifting towards the surveillance

1:07:50

business model as thousands

1:07:52

of other companies have including verizon just because it's so profitable well

1:07:56

it's so easy you

1:07:57

see you're getting all the information anyway all you're going to do now is

1:08:01

start to monetize it

1:08:03

you're just building this a new new parts of the company that no one even sees

1:08:08

right

1:08:10

and the the real issue here seems to be that this wasn't a thing 20 years ago

1:08:15

it's a thing now and

1:08:17

it's the most dominant thing in terms of the way people access information the

1:08:21

way people get data

1:08:22

the way people find answers what is it going to be in 20 years from now i mean

1:08:27

it it seems like

1:08:28

there's so much potential for control and so much potential for manipulation

1:08:35

and that it could only

1:08:36

just get worse if there's no regulation put in place and there's no way to stop

1:08:41

use of algorithms use of

1:08:43

curated data like what what is this going to be like have you sort of extrapolated

1:08:49

have you looked

1:08:49

at the future and yeah that's what i do that's what i do right every day it's

1:08:55

depressing what do you

1:08:56

think is happening what do you think like when we're looking at 20 years from

1:08:59

now what's going to happen

1:09:01

well uh you might not believe my answer but 20 years from now already happened

1:09:08

how so it's now it's here now

1:09:15

okay eisenhower you're not as old as i am but you probably remember i know the

1:09:24

speech ah famous speech

1:09:26

yeah and everyone always points to certain language from his speech this is his

1:09:30

his retirement speech

1:09:32

his last speech just a few days before john f kennedy became president and it

1:09:37

was a very shocking speech

1:09:39

because this is the guy who was head of allied forces in world war ii this is a

1:09:43

you know i don't

1:09:45

know four-star general i mean he's a you know he's he's an insider and in this

1:09:50

speech he says you know

1:09:52

what this terrible kind of entity has begun to emerge you know and i've watched

1:10:00

it and he called

1:10:01

it the military industrial complex he can and you probably remember hippies

1:10:05

like you know with signs

1:10:07

and screaming no military industrial complex and eisenhower actually warned

1:10:11

about the growth of this military

1:10:13

industrial complex and how it's taking over businesses and it's affecting the

1:10:17

government and blah blah blah

1:10:18

what people failed to note is that he also warned in the same speech about the

1:10:24

rise of a technological

1:10:26

elite that could control public policy without anyone knowing this was 1961

1:10:33

really

1:10:35

technological elite same speech what i mean what technological capabilities

1:10:40

were even available back

1:10:41

then other than the media other than you know broadcast television and radio

1:10:46

well but it means

1:10:48

that whatever he was seeing behind the scenes see oh jesus was scaring him and

1:10:55

i what i have to tell

1:10:57

you is that you're worried about 20 years from now the technological elite are

1:11:01

now in control

1:11:02

so apple google facebook and to a lesser extent the other social media

1:11:09

platforms correct and

1:11:11

google is by far the most aggressive uh the most dangerous uh you know facebook

1:11:20

there's chaos within facebook but you know we had this amazingly from francis

1:11:25

haugen just recently

1:11:26

of documents showing that you know people at facebook are very much aware that

1:11:32

their social platform

1:11:34

creates turmoil terrible turmoil on a massive scale and that they like that

1:11:41

they encourage that because the

1:11:43

more turmoil the more traffic the more traffic the more money but knowing that

1:11:51

you're creating turmoil

1:11:53

is here's my thought on that it's like is it just human nature because you were

1:11:59

saying before about

1:12:00

the like negative negativity bias that people gravitate towards things that are

1:12:04

negative and that's one of the

1:12:06

things that you'll find if you uh use you uh youtube rather when when you go on

1:12:12

youtube if you're a person

1:12:14

who likes to get upset at things and you're a person who likes to you know look

1:12:18

for things that are you

1:12:20

know disturbing or upsetting or the you know political arguments whatever you'll

1:12:24

get those in your suggestions

1:12:26

over and over and over again if you're not interested in that if you're only

1:12:29

interested in airplanes

1:12:30

and you start googling airplanes or or cars or watches or that's what it'll

1:12:35

suggest to you

1:12:36

it doesn't have to suggest to you negativity you

1:12:41

gravitate towards that naturally and so the algorithm represents what you're

1:12:48

actually interested in

1:12:48

so is it facebook's fault that everyone not everyone most people

1:12:54

generally interact more with things that are negative or things that upset them

1:13:01

that's not their fault but it is their fault that they take advantage of that

1:13:04

to manipulate people

1:13:05

that's entirely their but if their business model is to engage with people and

1:13:10

to keep people engaged by

1:13:12

giving them content that makes them

1:13:14

stay engaged and click on links and read more and spend more time on the

1:13:19

platform

1:13:20

and the only thing that it's doing is highlighting what you're actually

1:13:26

interested in

1:13:28

why is what are they supposed to do are they supposed to make less money and

1:13:32

then have no suggestions and

1:13:35

have no algorithm and just leave it all up to chance just leave it all up to

1:13:40

you go find what you're

1:13:41

interested in and then keep finding what you're interested in through a direct

1:13:45

search like to through you trying to find these things directly with no

1:13:51

suggestion whatsoever

1:13:53

because that's better for the human race and for the past year or so we have

1:13:59

been doing controlled

1:14:01

experiments on youtube uh we have a youtube simulator it's a perfect youtube

1:14:06

simulator

1:14:07

and and we have control we're using real content from youtube real videos from

1:14:16

youtube all the titles

1:14:18

everything comes from youtube except we have control over the ordering and we

1:14:25

have control over the up

1:14:27

next algorithm that's where the power lies the up next algorithm so one of the

1:14:33

things we learned

1:14:35

recently not from francis haugen but it was someone else who left facebook is

1:14:39

that 70 of the videos

1:14:41

that people watch on youtube now around the world are suggested by youtube's up

1:14:48

next algorithm 70 70

1:14:52

yeah and that's their algorithm and just like us in our lab okay we have

1:15:00

control over what the up next

1:15:04

algorithm suggests and guess what we can do with our up next algorithm what

1:15:12

well it should be obvious

1:15:15

you can manipulate people yeah we manipulate people we randomly assign them to

1:15:20

this group or that group

1:15:21

and we just push people any old way we want to push them and when you're doing

1:15:25

these tests and studies

1:15:26

like how are you doing this like are you doing how many people are involved in

1:15:29

this are they students

1:15:31

like what how are you how are you doing this okay we we we never do the you

1:15:35

know subject pool at the university

1:15:37

where you get you know 50 students from your your college to take you know to

1:15:42

be your research we never do that

1:15:43

so we're always reaching out uh to the community or we're doing things online

1:15:49

so we do big studies online

1:15:51

and we are getting very diverse groups of people we're getting literally we're

1:15:56

getting people from uh

1:15:58

lists of registered voters so we're getting people you know who who who look

1:16:02

like the american population

1:16:04

and we are we we can mess with them can i say we can with them you just did oh

1:16:14

i guess i just did

1:16:17

oh this is definitely not fox this is no no we're on the internet this is not

1:16:20

fox news uh yeah but the

1:16:23

internet you see the internet though because there are no regulations and rules

1:16:28

it does allow for some

1:16:30

pretty evil things to take place and the fact is in our experiments we we we do

1:16:35

these usually our

1:16:37

experiments have hundreds of people in them sometimes they have thousands of

1:16:40

people and

1:16:41

we can fuck with people and they have absolutely no idea let me just i'll tell

1:16:49

you about something new

1:16:51

okay okay something new brand new okay and this is uh thank god i'm not talking

1:16:57

about google this time

1:16:58

just talking about something else that's happening there are websites that will

1:17:03

help you make up your mind

1:17:05

about something so for example there's a whole bunch of them right now that'll

1:17:10

help you decide whether

1:17:12

you're really a democrat or you're really a republican and the way they do that

1:17:16

is they give you a quiz

1:17:19

and based on your answers to how you feel about abortion and immigration and

1:17:22

this and that

1:17:23

at the end of the quiz they say oh you are definitely a republican sign up here

1:17:29

if you want to join the

1:17:30

republican party and this is called opinion matching and the research we do on

1:17:36

this is called ome the

1:17:37

opinion matching effect and there are hundreds of websites like this and when

1:17:43

you get near an election

1:17:45

a lot more of them turn up because the washington post will give you a quiz and

1:17:50

help you decide who to

1:17:51

vote for and tinder tinder okay which is used for sexual hookups how about

1:17:58

romantic sir oh not just sex

1:18:01

sorry uh my mistake uh so tinder actually set up a swipe the vote option on tinder

1:18:10

during the 2016

1:18:11

election you swipe left if you think this you swipe right if you think that and

1:18:15

then at the end of it

1:18:17

they say oh you should be voting for hillary clinton okay but how do you know

1:18:24

when one of these websites

1:18:25

is helping you make up your mind how do you know whether the algorithm is

1:18:30

paying any attention to

1:18:32

your answers at all how do you know you don't so what we've done is no we've

1:18:38

done two things one is

1:18:39

we've gone to a lot of these websites and we've been typing in random answers

1:18:43

or we've actually set up

1:18:45

algorithms that do it for us so if we want to you know do it 500 times we set

1:18:50

up an algorithm that does

1:18:51

it and then we look and see what the recommendations were and guess what guess

1:18:59

what what sometimes

1:19:02

these websites are not paying any attention to your answers they're just

1:19:06

telling you what they want to

1:19:09

tell you and they're using this quiz to suck you in and then they add in oh

1:19:15

this this we love they add

1:19:18

in a timer so in other words after you finish the quiz it'll go tick tick tick

1:19:22

tick tick computing

1:19:24

computing computing and there's this delay creating the impression that they're

1:19:28

really thinking hard

1:19:30

and then then they give you your answer so they're doing all that is for

1:19:33

credibility to manipulate

1:19:36

you now so over here we're going to websites and we're typing in random answers

1:19:41

on the other side

1:19:43

we're doing experiments in which we are giving people quizzes and then we are

1:19:49

giving people recommendations

1:19:51

and then we are measuring to see whether we can change anyone's mind and we're

1:19:56

getting shifts of 70 to 90

1:20:01

percent with not a single person recognizing that they're being manipulated not

1:20:10

even one person

1:20:12

recognizing that there's bias in the results we're giving them not one because

1:20:19

how could you see the

1:20:21

bias how could you see the manipulation you've just taken a quiz right you're

1:20:26

trying to make up your mind

1:20:27

the thing that's so scary about this kind of manipulation is it attracts

1:20:33

exactly the right people

1:20:36

exactly the right people who can be manipulated right because who's taking

1:20:41

quizzes

1:20:41

the people who are trying to make up their minds they're unsure right they're

1:20:45

vulnerable yeah

1:20:46

and when you so you spoke to congress about this you spoke in front of congress

1:20:55

or was it no yeah

1:20:57

and when you did was there any sort of urgency that was did anybody understand

1:21:05

like what the implications

1:21:06

this are did anybody understand like this is we were literally looking at these

1:21:11

massive technologies that

1:21:13

are used throughout the world that that can completely change the way policy is

1:21:19

directed the way

1:21:20

people are elected who's in charge what the public narrative is on a variety of

1:21:26

subjects

1:21:29

Well, there are some people. There's a guy named Blumenthal. He's a senator

1:21:34

from Connecticut. He gets it. He understands. He's kind of disgusted, I would

1:21:39

say, with all this stuff. But, you know, I said to Cruz, I said, why don't you

1:21:44

work with Blumenthal? And he said, well, no, I don't think that'll work out.

1:21:49

Because he's a Democrat? Because he's a Democrat. So they can't. Here's. So the

1:21:53

Democrats, even the ones who understand this stuff, they won't do anything.

1:21:58

Because why? Because these tech companies support Democrats very lavishly with

1:22:03

donations. So, for example, Google was Hillary Clinton's biggest donor in 2016.

1:22:09

And they're supporting them in these more subtle ways as well.

1:22:14

So the Democrats will do nothing if they even say something, like if they rattle

1:22:20

their swords, they don't actually do anything. And the Republicans hate

1:22:25

regulation. This is a perfect storm for these companies to do what they have

1:22:32

done, which is they have already taken over. You're thinking 20 years from now?

1:22:39

No. They've already done it.

1:22:42

Well, I'm not thinking that they haven't already taken over. But I'm thinking,

1:22:46

like, how much more control can they have in 20 years? If 20 years ago they

1:22:50

didn't have any? Like, as technology advances, do you think that this is going

1:22:55

to be a deeper and deeper part of our world?

1:22:59

Well, look at Zuckerberg. Zuckerberg's trying to get us all into the metaverse.

1:23:04

So, yeah, you have even more control if you get people into virtual realities.

1:23:09

Yes, you have more control. Every single thing they're doing is moving us

1:23:14

farther and farther and farther down the rabbit hole.

1:23:19

Well, not just that. I'm thinking, like, there was a time where Zuckerberg, at

1:23:22

least, was publicly considering cryptocurrencies.

1:23:24

Right.

1:23:25

Like some sort of a Facebook cryptocurrency. Imagine if Facebook cryptocurrency

1:23:30

became the number one currency worldwide. Maybe it was the number one crypto

1:23:34

like Bitcoin is today.

1:23:36

Sure.

1:23:36

What the fuck? You know, so you're in the metaverse. In order to exist and

1:23:40

compete and buy things and prosper, you need Zuck bucks.

1:23:45

Yeah.

1:23:45

Right?

1:23:47

Yeah. Oh, I published a few years ago an essay calling for his resignation.

1:23:52

Roger McNamee, who was one of the first supporters financially of both Google

1:23:59

and Facebook, he actually published a book about two years ago saying it was

1:24:04

called Zucked, how Zuckerberg has taken over the world.

1:24:09

And he basically, he said in that book straight out that if he had known what

1:24:13

these companies were going to turn into, Google and Facebook, he would never,

1:24:18

never have backed them in those early days.

1:24:21

Jamie, did we ever find out what Facebook or Google rather changed their?

1:24:26

Yeah. It got moved to the bottom of the Code of Conduct.

1:24:29

But it's still in there, right?

1:24:31

It's on the screen.

1:24:31

Okay, that's right. And remember, don't be evil. And if you see something that

1:24:35

you think isn't right, speak up. So it's still in there.

1:24:39

Sort of.

1:24:39

Yeah.

1:24:40

I think it's really...

1:24:41

Google aspires to be a different kind of company. It's impossible to spell out

1:24:45

every possible ethical scenario we might face. Instead, we rely on one another's

1:24:50

good judgment to uphold a high standard of integrity for ourselves and our

1:24:54

company.

1:24:55

We expect all Googlers to be guided by both the letter and the spirit of this

1:25:01

code. Sometimes identifying the right thing to do isn't an easy call. If you

1:25:06

aren't sure, don't be afraid to ask.

1:25:08

Ask questions of your manager, legal, or ethics and compliance. And remember,

1:25:14

don't be evil.

1:25:15

That was updated September 25th, 2020.

1:25:18

Right.

1:25:19

Can you hold this? Because I have to pee. Unfortunately, I have to pee. I drank

1:25:23

way too much coffee today. So we'll be right back. Ladies and gentlemen, hold

1:25:26

those thoughts.

1:25:28

This don't be evil thing. This don't be evil thing. This is where it gets

1:25:32

interesting to me because the company is notoriously woke, right? They've

1:25:38

adopted these woke ethics. And you hear about meetings that they have. And

1:25:43

there was that there was the one gentleman.

1:25:48

Jamie, what is his name that was? He was fired from Google because he James Damore,

1:25:56

thank you. And we actually had him on the podcast at one point in time because

1:26:00

they asked him questions about why don't women?

1:26:03

Have more prominent roles in tech? And is there some sort of gender bias? Is it

1:26:09

natural? And he wrote a whole paper about choices and why people choose one

1:26:15

thing or another. And they decided he was a sexist piece of shit and they fired

1:26:19

him.

1:26:19

And it was really wild because if you read the actual paper and the paper was

1:26:23

available online, like there was nothing that he said that was it was not sexist

1:26:28

at all.

1:26:28

Yeah, I read it. Yeah. Yeah. So when a company has very clear motives, like

1:26:35

they're they're in it to make money. Like that's that's what they're doing.

1:26:40

What how does that wokeness play into that? Is that just a natural artifact of

1:26:47

people coming from universities and then eventually working for Google or is

1:26:51

this like sort of a strategy that that's encouraged because it's more

1:26:54

profitable that way?

1:26:59

Well, first of all, you have to understand that it's not that simple. So

1:27:04

because Google has had demonstrators, they've had literally their own employees

1:27:09

holding demonstrations.

1:27:11

Not everyone is happy about the policies at Google.

1:27:17

People, for example, who have conservative leanings, which I don't, but people

1:27:21

have conservative leanings there.

1:27:23

They're there. They're they're miserable because the the the the values agenda

1:27:30

is so strong there, you know, that it dominates everything.

1:27:34

Isn't it interesting that you feel like you have to announce that you don't

1:27:38

have conservative leanings?

1:27:40

It's interesting because you've done it a couple of times so far.

1:27:44

Three. Yeah. And you do it because people want to say, oh, all right.

1:27:52

Psychologist Dr. Robert Epstein, you know, they would like to do that, right?

1:27:58

Oh, I've been ever since I did the testimony.

1:28:01

I mean, a bunch of things happened to some one of which is very sad, but

1:28:07

Yeah, I've gotten branded. I've gotten branded as some sort of conservative

1:28:12

right wing nutcase and I don't have a conservative bone in my whole body.

1:28:16

So it's really it really bothers me. I'm I'm I'm doing I'm doing what I do

1:28:22

because I put humanity, democracy, America, you know, ahead of any particular

1:28:30

party, any any particular candidate.

1:28:33

There are bigger issues here. It should be obvious that what you're saying, I

1:28:38

mean, what you're saying should concern people.

1:28:41

The idea that you would just be labeled as a part of a, you know, disparaged

1:28:47

political party because it's an easy way to defame you and to discredit you.

1:28:51

That should be obvious, too. We said one of the things that happened was sad.

1:28:55

What was that?

1:28:57

Well, in 2019, one of the things I did run run the same time I did the

1:29:03

testimony as I did a private briefing for state attorneys general

1:29:09

and

1:29:11

So I did my thing and I, you know, I can scare people

1:29:15

Pretty well with my my data. We haven't got to my monitoring projects yet, but

1:29:21

we will

1:29:21

Okay, like so I you know, I did my thing and then I went out into the

1:29:25

Kind of the waiting room there and just waited because I was done and they

1:29:30

started filing out and one of them came up to me

1:29:32

I know exactly who it was. I know what state he was from and he says

1:29:36

Dr. Epstein, I hate to tell you this, but he said I think you're gonna die in

1:29:41

an accident

1:29:43

within the next few months and

1:29:46

Then he walked away now

1:29:48

I did not die in an accident in the next few months, but my wife did

1:29:53

Really yeah, so when this person said that to you what what does this person do

1:30:07

what?

1:30:08

He's an attorney general of a state and

1:30:11

Why did he say that to you because he was concerned? He thought I was pissing

1:30:16

People off who had a lot of power in it

1:30:18

They wouldn't like that

1:30:22

And how did your wife die in an accident? What were the circumstances?

1:30:27

She lots control of her little pickup truck that I had bought her and

1:30:34

got broadsided by a

1:30:37

Massive

1:30:42

Truck that was towing two loads of cement

1:30:46

But her pickup truck was never examined forensically and

1:30:49

It disappeared I

1:30:54

Was told that it had been sold to someone in Mexico and

1:30:57

It just disappeared from sold to some of the Mexico obviously was totaled was

1:31:02

totaled and the the wreck

1:31:04

Which I suppose was technically my property?

1:31:08

Disappeared was never examined and disappeared

1:31:12

Went to Mexico now was this a older truck was it a newer truck? I was an older

1:31:17

truck, but you know older as in like come how old?

1:31:21

Like

1:31:24

2002 but we kept in very good shape had low mileage

1:31:27

New tires the reason why I ask is like what kind of computer systems were

1:31:33

involved in cars?

1:31:34

In cars for 2002 as opposed to do you remember the

1:31:38

The story of the journalist who Michael Hastings who wrote a story about a

1:31:47

general in

1:31:48

During the during the time of

1:31:53

Obama's administration there was a volcano that erupted in Iceland and

1:31:58

He was stuck

1:32:01

Overseas I believe it was like Afghanistan or

1:32:04

Iraq I think it was Afghanistan so he was over there writing a story for

1:32:10

Rolling Stone and

1:32:12

Because he was over there for so long because he was trapped because no flights

1:32:16

were going because of the air cover was so bad because of this volcano

1:32:20

They got real comfortable with him and these soldiers started saying things not

1:32:24

even thinking this guy is like

1:32:26

You know, he's not one of them. He is a journalist and he's gonna write all

1:32:31

these things about so

1:32:32

He wrote this very damning article

1:32:36

the general in question got fired and then this guy Michael has Hastings

1:32:40

started talking about how he was in fearing for his own life and

1:32:43

cut to

1:32:46

sometime in the future he

1:32:48

Sped up there's actually a video of it sped up on Sunset Boulevard

1:32:53

Towards the west side and slammed into a tree going like a hundred and twenty

1:32:57

miles an hour. There was an explosion

1:32:59

the cars engine was you know

1:33:04

Many yards from the the car itself and there was a lot of speculation

1:33:07

that not only did the government have the ability to

1:33:11

Manipulate that the intelligence agencies had the ability to manipulate people's

1:33:16

cars, but it's something they've actively done and people were very concerned

1:33:20

that this guy was murdered

1:33:21

Because of what he had done because that general wound up getting fired

1:33:25

Obama wound up firing him because it made Obama look bad

1:33:28

He was a very beloved general that kind of shit scares the fuck out of people

1:33:34

Well, there's a very good book on this subject. It's called future crimes

1:33:37

and

1:33:38

It starts out saying the kind of things that I've been saying to you which is

1:33:42

the future crimes that they're they're actually here now

1:33:44

And this is an ex FBI guy who wrote the book and he's talking about how tech is

1:33:48

being used

1:33:49

Now to to not only commit crimes, but to and to assassinate people

1:33:53

One of the simplest ways to do it as you hack into a hospital computer and you

1:33:59

change dosages on

1:34:00

medication

1:34:03

You know if the person you're going after is hospital has been hospitalized

1:34:07

That's a really simple way to just knock them off and have it look like it. You

1:34:11

know just some silly little you know

1:34:13

glitch or something

1:34:16

So yeah, a lot of there's a lot of ways now that that you can commit crimes

1:34:21

that have never existed before

1:34:23

And as far as I'm concerned I mean the kinds of things I study in my opinion

1:34:29

should be considered crimes

1:34:31

And and and I don't think it we should ever

1:34:35

Be complacent and just say oh, it's the algorithm

1:34:38

Algorithms are written by people algorithms are modified Google modifies its

1:34:44

algorithm its basic search algorithms

1:34:46

3,000 times a year. That's that's does it. That's human intervention

1:34:50

do you

1:34:52

Think that that's what happened to your wife or do you do you speculate or do

1:34:57

you just not know and just leave it at that?

1:34:59

Like what how do you feel about that? It depends on the day? I you know, I

1:35:03

think about Misty

1:35:04

She's from Texas originally and I think about her

1:35:07

Pretty much non-stop. I'm still wearing my wedding band and even though the

1:35:12

accident was two years ago

1:35:15

I don't know it. I know that

1:35:17

The the accident made news not just here, but in Europe

1:35:22

Because you know, some people thought it was suspicious that you know, this my

1:35:28

beautiful

1:35:29

wife

1:35:31

You know, we've been together for eight years and my beautiful wife was killed

1:35:34

in this horrendous fashion and

1:35:38

You know, obviously I have I have pissed off some people at some big companies

1:35:43

And I have work coming out. I mean the work that I have coming out I have right

1:35:48

now 12

1:35:49

Scientific papers under review and and four that are in press in other words

1:35:54

that have been accepted

1:35:55

So I have stuff coming out

1:35:58

That is over and over again. It's like a sledgehammer is going to make

1:36:04

Certain companies really look

1:36:06

Well, very evil I would say do you think that they have the ability to suppress

1:36:13

the kind of

1:36:14

Coverage of the data that you're putting out to the point where it's not going

1:36:19

to impact them like how much has it impacted them?

1:36:22

Currently, I mean we're talking about committing murder or potentially

1:36:25

committing murder

1:36:26

Like how much have you impacted them if they're still in complete and total

1:36:30

control and they're still

1:36:32

Utilizing all these algorithms and making massive amounts of profit you haven't

1:36:36

put a crimp in that

1:36:38

Well, I have I have I have put a crimp in it. Yes

1:36:43

and

1:36:46

So I do want to talk to you about this about the monitoring stuff because there

1:36:50

is a way there there's there's more than one way

1:36:52

but there's there's there's one very practical way to

1:36:57

to to

1:36:59

Literally just push these companies out of our personal lives and out of our

1:37:03

elections and

1:37:04

Yeah, I've been working on that project since 2016 at that project started

1:37:11

because of a phone call. I received from a state attorney general

1:37:14

general

1:37:15

Jim Hood he was he was attorney general of Mississippi at the time

1:37:20

He called me in 2015 and he and he said could Google

1:37:25

Mess with my reelection as attorney general in that state they elect them and I

1:37:31

said yeah very easily and so how would they do it?

1:37:34

I explained how they do it etc etc and he was very very concerned and

1:37:37

He said but how would you know that they're doing it?

1:37:42

And my mind just started to spin like I'm thinking

1:37:45

Gee, I don't know well a whistleblower, you know a a warrant something

1:37:50

And I became obsessed with trying to figure out

1:37:54

How to know what these companies are actually showing real people?

1:38:00

Now here and there

1:38:04

There's some researchers at Columbia should be ashamed of themselves

1:38:07

There's some reporters at the economist who should be ashamed of themselves

1:38:10

here and there

1:38:11

People have have set up a computer that they anonymize

1:38:15

Okay

1:38:17

And they and they type in lots of search terms and they get back all these

1:38:21

searchers and they conclude that there's no bias

1:38:23

But that doesn't tell you anything because Google

1:38:29

Algorithm can easily spot a bot can easily spot an anonymized computer. They

1:38:34

know it's not a real person

1:38:35

How do they know that because they because it doesn't have a profile you have a

1:38:41

profile?

1:38:42

You know

1:38:46

You have a how long have you been using the internet for that way a long time?

1:38:51

Well roughly 25 30 years whatever it's been night. Was it?

1:38:56

94 I first got on wow almost 30 years. Okay, so Google has a profile on you

1:39:03

That is more than that has more than three

1:39:07

The equivalent of more than 3 million pages of content

1:39:11

Now you're probably thinking well, how could I generate that because because

1:39:18

everything you do

1:39:20

goes into that

1:39:22

profile so

1:39:24

That yeah, it's a lot of content

1:39:26

But the point is they know the difference between you because you have a big

1:39:30

old profile and an anonymized computer or a bot because there's no profile

1:39:34

Right, so it turns out

1:39:36

This is the simplest thing in the world to do is that when they're when they

1:39:40

see a bot

1:39:40

Okay, they just send out

1:39:43

Unbiased content we and we we've we've shown this ourselves. It's there's

1:39:48

nothing to it

1:39:49

But that's but that's not the challenge the general hood was was basically

1:39:54

giving me he was saying

1:39:55

How would you find out?

1:39:58

What real people are seeing?

1:40:00

so 2016 I

1:40:02

Got some funds. I don't even know where they came from but anyway

1:40:07

And we started recruiting people we call them field agents. This is exactly

1:40:12

what

1:40:13

the that company does Nielsen that does the Nielsen ratings they've been doing

1:40:19

it since

1:40:19

1950 they're now in 47 countries and they recruit families and they and they

1:40:25

keep their identities very secret and they

1:40:27

Equip the families with special gizmos so they can keep an eye on what

1:40:31

television shows are watching and that's where the Nielsen ratings come from

1:40:34

Which are very important because they determine how much those shows can charge

1:40:40

for advertising

1:40:41

They determine whether or not a show stays on the air

1:40:43

So it's important

1:40:45

So we started recruiting field agents and we developed custom software

1:40:50

literally from the ground up and when we

1:40:53

screen a field agent and we say okay

1:40:56

You want to join us we install on their computer?

1:41:00

Special software which allows us in effect to look over their shoulders. This

1:41:06

is with their permission obviously

1:41:08

Look over their shoulders and we can take snapshots and we're so when we sign

1:41:13

these people up

1:41:14

We're taking lots of snapshots, you know all day long and then information is

1:41:19

coming in and it's being aggregated

1:41:20

So we can look at what real voters are being sent by Google Facebook YouTube

1:41:29

anybody and

1:41:31

We and we take all kinds of precautions to make sure these people cannot be

1:41:35

identified

1:41:36

We deliberately had a small group of people

1:41:41

Gmail users to make it easy for Google to identify those people guess what?

1:41:47

They got unbiased content

1:41:50

But everyone else was getting highly biased content when we why did the Gmail

1:41:55

people get unbiased content?

1:41:57

Because Google knew they were our field agents

1:42:00

So Google was aware of your study I

1:42:04

I I I probably can't even sneeze without

1:42:07

Google being aware

1:42:10

So you think Google manipulated the results of the people that were Gmail users?

1:42:17

No, I think they show that they didn't have bias. No, I think they unmanipulated

1:42:22

Yeah, but I'm saying yeah, I mean manipulated in the sense of they didn't apply

1:42:26

the algorithm to those people

1:42:28

I had a reporter from DC

1:42:32

I'm not gonna name him

1:42:34

He was doing a piece of my work and then

1:42:37

He contacts me a couple days later and he said that he called up

1:42:41

A woman who he believed was the head of Google's

1:42:45

PR department

1:42:48

He said and I asked her questions about your work and she started screaming at

1:42:52

me

1:42:52

He said that he said that's very unprofessional. I've never had that happen

1:42:56

before

1:42:57

He said I'm going to tell you two things

1:42:59

He said number one you have their attention and number two if I were you I

1:43:05

would take precautions

1:43:06

Jesus

1:43:12

so monitoring

1:43:14

2016 we recruited 95 field agents in 24 states

1:43:18

we preserved

1:43:21

13 000

1:43:22

election related search results

1:43:24

on google bing and yahoo

1:43:27

so it's 130 000

1:43:30

search results so each one has 10 results in it

1:43:34

so that's 130 000 links and we also

1:43:37

then also preserved the web pages so we had 98 000 unique web pages

1:43:43

and then we analyzed it

1:43:44

we found

1:43:46

extreme pro-Hillary Clinton

1:43:50

bias

1:43:51

on google search results but not on bing or yahoo

1:43:55

now here's

1:43:58

number four disclaimer number four I supported hillary clinton

1:44:01

but still I was very disturbed by this extremely disturbed because we knew from

1:44:07

the experiments

1:44:07

we had run that that was enough bias to have shifted over a period of time

1:44:13

among undecided voters somewhere between 2.6 and 10.4 million votes without

1:44:20

anyone having the slightest idea that this had occurred

1:44:24

that's 2016. 2018 we monitor the midterms

1:44:29

we preserved 47 000 searches so we were expanding we're getting bigger

1:44:36

47 000 and we found enough bias on google but not bing or yahoo to have shifted

1:44:43

78 million votes that spread across hundreds of elections though okay with no

1:44:50

one knowing

1:44:51

2020 we went all out we had more money

1:44:57

we went all out and we recruited 1735 field agents just in swing counties just

1:45:07

in swing states because

1:45:09

we knew that's where the action was going to be we preserved 1.5 million ephemeral

1:45:17

experiences

1:45:19

and i'll define that if you want sure on google bing yahoo youtube google's

1:45:25

home page facebook

1:45:26

we at this point know how to preserve pretty much anything we preserved 3

1:45:32

million web pages

1:45:34

and and we're getting to that we're getting to the climax here okay

1:45:41

we decided which we hadn't done in the past on october 30th 2020 before the

1:45:45

election a few days before

1:45:47

the election we decided to go public with some of our initial findings and we

1:45:51

did

1:45:52

and as a result on november 5th two days after the election three u.s senators

1:46:01

sent a very threatening letter to the ceo of google just summarizing all my

1:46:07

work my preliminary stuff

1:46:10

and guess what happened then in georgia we had over a thousand field agents in

1:46:18

georgia

1:46:21

google turned off the bias like that google stopped with their home page go

1:46:28

vote reminders they stayed out

1:46:32

of georgia what does this say this tells you that if you monitor if you do to

1:46:38

them what they do to

1:46:40

us 24 hours a day you do that to them and you look for any kind of manipulation

1:46:46

any kind of bias

1:46:47

any kind of shenanigan and you make that public you expose it

1:46:50

they back down they back down they have to back down so doesn't this highlight

1:47:00

that if our government

1:47:02

is concerned about legitimate threats to democracy and legitimate threats to

1:47:09

the way information is

1:47:10

distributed and free speech and manipulation that they should be monitoring

1:47:16

google but is the problem

1:47:19

money because of the amount of money that they give to campaigns the amount of

1:47:26

money they give to

1:47:27

support causes that these politicians back and the votes don't forget the vote

1:47:33

shifting because some of

1:47:35

these politicians understand that yes you know we the government forget the

1:47:39

government okay forget the

1:47:42

government the government is not going to do this and would we even trust the

1:47:46

government to do it so

1:47:48

who should be doing it this should be done by a probably a consortium uh by a

1:47:53

bipartisan or nonpartisan

1:47:56

uh non-profit organizations and uh you know the there's sure there we should

1:48:02

have hearings we should

1:48:04

have a you know very uh everything should be transparent we should have wide

1:48:09

representation of people serving

1:48:12

on the boards and all that kind of like well the un but except you know but

1:48:17

this is a narrow kind of task

1:48:20

here's what we need we need to we need to set up now because now we know how to

1:48:24

do it we need to set up a

1:48:26

permanent large-scale monitoring system in all 50 states in the united states

1:48:31

that's how we start

1:48:32

eventually we have to help people in other countries set up similar systems

1:48:36

that is how now and in the

1:48:39

future see that that's the real answer to your future question that is why now

1:48:44

and in the future that is

1:48:46

how now and in the future we can get control over emerging technologies not

1:48:52

just google but the next

1:48:54

google and the google after that there is no way to know what these companies

1:48:58

are doing unless you are

1:49:01

monitoring one of the simulators we have now that we developed actually within

1:49:06

the past year which is

1:49:07

fabulous i i'm so proud of my staff we have an alexa simulator

1:49:13

i mean it just works just like alexa and it talks it's fantastic except we

1:49:20

control

1:49:20

what it's going to say and sure enough can we shift people's oh yeah easy easy

1:49:28

peasy nothing

1:49:29

but what that tells you is that's one of the things we have to monitor we have

1:49:33

to monitor the answers

1:49:34

that these so-called personal assistants are giving people because if they give

1:49:39

biased answers

1:49:41

that shifts thinking and behavior and you know what if all of these companies

1:49:47

all favor the same party

1:49:49

right which they do what if all of these companies all favor the same candidate

1:49:52

which they do

1:49:53

you you add you you add up these these these manipulations and basically what eisenhower

1:50:01

predicted

1:50:02

it's it's it's it's here now it's just that you can't see it you you cannot

1:50:08

first of all if i'll give

1:50:11

an example okay 2016 and i bet you mark zuckerberg has been kicking himself in

1:50:18

the butt ever since

1:50:20

on election day if zuckerberg with one click if he had sent out go vote

1:50:27

reminders

1:50:29

just to democrats that day because you know i mean trump won basically by what

1:50:36

47 000 votes in four

1:50:38

states i mean if if zuckerberg had sent out go vote reminders just to democrats

1:50:43

and he knows who who the

1:50:44

democrats are right he could have generated that day 450 000 more votes for

1:50:51

hillary clinton than she got

1:50:53

how do we know that from facebook's own published data they published a study

1:51:01

in 2012

1:51:03

showing how they could get more people to vote in 2010 by sending out vote

1:51:08

reminders if you just take

1:51:10

the data that they published and move it over to 2016 and say okay mark press

1:51:16

the button

1:51:17

hillary would have has absolutely won won the look he's he i'm sure to this day

1:51:25

is kicking himself

1:51:26

because he didn't do it but how would you know see on any any given day any

1:51:33

given election how would you

1:51:35

know whether that kind of reminder is going out number one and number two who

1:51:39

it's going to is it going

1:51:41

to everybody or is it going just to select group is it targeted there's no way

1:51:47

to know that unless you

1:51:49

have monitoring systems in place with a monitoring system you would know you

1:51:52

would know within seconds or

1:51:55

minutes if a targeted message like that was being sent out but if you had a

1:52:02

targeted message like that

1:52:05

is that that's not illegal right which is part of the problem like even if they

1:52:10

did it publicly

1:52:12

and you said all we're doing is encouraging people to vote yeah but what if it's

1:52:16

going just to members

1:52:18

of one party oh i i get it but i mean would they be obligated to send that to

1:52:23

everybody

1:52:25

or maybe they could use the excuse that it's only the people that are

1:52:28

politically inclined

1:52:29

here's what i'm here's what i'm here this is what i believe okay based on the

1:52:36

experience that we just

1:52:38

had a few months ago where we got google to stay out of georgia and by the way

1:52:43

we positively got them

1:52:45

to stay out of georgia because we had over a thousand field agents in georgia

1:52:48

and we were collecting a

1:52:49

massive amount we collected more than a million ephemeral experiences i guess i'm

1:52:54

going to have

1:52:54

to define that in georgia i'm telling you google we have never seen so little

1:53:01

bias in google search

1:53:02

results ever since we started monitoring in 2016. what's an ephemeral

1:53:06

experience okay

1:53:09

2018 a leak to the wall street journal from google a bunch of emails one googler

1:53:15

is saying to others

1:53:17

how can we use ephemeral experiences to change people's views about trump's

1:53:24

travel ban

1:53:27

i know it was i didn't make up this term this is this is from google's

1:53:31

internally this is the kind of

1:53:33

lingo that they use what's an ephemeral experience and why would they want to

1:53:37

use ephemeral experiences

1:53:38

to change people's minds because an ephemeral experience is well most of the

1:53:43

kinds of interactions

1:53:44

we have online involve ephemeral experiences like search you type search term

1:53:49

you see a bunch of

1:53:49

search results it has an impact on you you click on something it disappears it's

1:53:54

not stored anywhere

1:53:56

and it's gone forever so there are these brief experiences like a news feed a

1:54:01

list of search

1:54:03

suggestions an answer box that affect users disappear stored nowhere

1:54:10

authorities cannot go back

1:54:13

in time and figure out what people were being shown that's why internally at

1:54:22

google they want to use

1:54:23

ephemeral experiences to impact people because unless someone like me and i'm

1:54:30

the only one doing this

1:54:32

unless some crazy guy like me is setting up monitoring systems and keeping

1:54:38

everything secret

1:54:39

well it's running no one will ever know that you just flipped an election no

1:54:48

one will ever know

1:54:50

as i say the most powerful mind control machine ever invented and it relies for

1:54:58

the most part on ephemeral

1:54:59

experiences meaning no one knows you can't track it you can't track it you can't

1:55:05

go back in time

1:55:07

the only way to do it is you'd have to be looking over the shoulders of real

1:55:11

users you have to look

1:55:13

over their shoulders and you have to grab it as it's occurring and then you

1:55:16

have to aggregate it

1:55:17

analyze it quickly and no it's not really possible well no that's what we do

1:55:23

but i mean that's not

1:55:24

possible for the entire country uh yeah well that that's why we have to take

1:55:29

what we've done

1:55:31

do you see the irony in that though it's almost like the only way to prevent

1:55:34

this manipulation

1:55:35

is by massive surveillance of everyone no no no all you need is a

1:55:43

representative sample you do you do

1:55:46

what what the nielsen company does same thing so we have uh you know a panel it's

1:55:51

called we have a panel

1:55:52

of field agents around the country in a country like in a state like um california

1:55:57

we'd have to have a lot

1:55:58

because they have a lot of people idaho we don't need so many so you just take

1:56:02

representative sample

1:56:04

from each state like a nielsen thing exactly like nielsen but would they be

1:56:10

aware of who the nielsen

1:56:12

families are or the the the people that you're surveilling you know your your nielsen's

1:56:17

would

1:56:17

they be able to just have them receive unbiased data well that that's the whole

1:56:25

point the point

1:56:26

of nielsen is they have to keep the identities of those families secret because

1:56:30

otherwise people

1:56:31

would mess with them right but if they have the amount of surveillance

1:56:35

capabilities that we're

1:56:36

talking about here yeah wouldn't they be able to know who these field agents

1:56:40

are

1:56:42

well that's why we we're very very careful uh about how we do the recruiting so

1:56:48

you know it's it's

1:56:50

expensive but nielsen has to take precautions in the way they do recruiting and

1:56:55

equipping and training we

1:56:57

have learned from that we take tremendous precautions and so uh you know you're

1:57:04

asking can this really be

1:57:06

done i'm saying yeah i've done it four times so i know it can be done but it

1:57:11

takes effort there's a

1:57:13

lot of security involved uh if if someone is suspicious we dump them nielsen

1:57:19

does the same thing

1:57:21

so how do you find out someone's suspicious well we're we how do we do that

1:57:28

yeah uh for example um

1:57:32

let's say they're uh we're we're aggregating information on that they're

1:57:38

getting on the search

1:57:39

engines let's say so we you know it's coming in our software is set up so that

1:57:44

if if the information

1:57:46

we're getting from any particular field agent doesn't look right okay then then

1:57:51

it goes over to human

1:57:53

review so what could that mean that could mean for example that they are using

1:57:59

an algorithm they're trying

1:58:01

to tilt things in a particular direction so they're not actually typing in

1:58:04

anything they're not using

1:58:06

the computer the normal way they would use it which is what they're supposed to

1:58:08

do

1:58:08

it means they've they've now developed or been equipped with an algorithm to

1:58:14

boom just start

1:58:15

generating a lot of stuff to which would which would mess up our numbers right

1:58:20

uh well those people

1:58:23

immediately are flagged and and when that happens and we can't exactly figure

1:58:29

out what's going on we dump

1:58:30

them and we dump all we dump their data if they if their information is coming

1:58:35

in faster than a person

1:58:36

can type we dump them but there are other other indications too i mean i can't

1:58:42

reveal all that but

1:58:44

we're we're taking precautions exactly like nielsen has been doing since all

1:58:48

the way since 1950.

1:58:49

it can be done what is your goal with all this do you do you think you can

1:58:56

shift the way these companies

1:58:58

do business do you want to just inform and educate the public as to what's

1:59:03

happening and how

1:59:04

divisive and how interconnected all this stuff is

1:59:14

i i it's hard to answer that question because uh as i keep learning more and

1:59:19

and and believe me what

1:59:21

we've learned in the last year easily eclipses what we learned in the previous

1:59:25

eight years we're

1:59:27

learning so much the team is growing our capabilities are growing so you know

1:59:33

uh i could i'll say at one

1:59:36

point in time what i was concerned about was what how can we get google under

1:59:42

control so i published an

1:59:45

article in bloomberg business week there's a great back story there because you

1:59:50

know it was scheduled

1:59:51

to come out and then someone or other made a phone call to someone else and

1:59:56

then boom the piece got pulled

1:59:59

and this was a solution to the google problem literally uh the editor-in-chief

2:00:04

is literally

2:00:05

having arguments with the you know the higher ups the publishers because they

2:00:09

pulled my piece on how

2:00:10

to how to get google under control how to solve the google problem uh i was

2:00:15

scheduled to testify before

2:00:18

congress the following tuesday the article had been pulled the editor-in-chief

2:00:22

was determined to get this

2:00:25

piece out he got it published in their online version on monday the day before

2:00:30

the hearing so what is this

2:00:33

about this is very simple very light touch regulation the way to completely uh

2:00:44

disarm google is to make their

2:00:48

index which is the database they use to generate search results to make it

2:00:52

public

2:00:53

and uh that's there's precedent for that that's the government has done that

2:00:58

before it's very very

2:00:59

light touch regulation uh and google could still sell it you know when people

2:01:06

like bing want to use

2:01:09

a lot of it a lot of data from the database they could still make money but

2:01:13

what hap what would happen

2:01:14

in that case though is that hundreds of other search engines would now be set

2:01:18

up and then thousands

2:01:21

all pulling really good data from google's database and then they would go

2:01:25

after niche audiences and

2:01:27

they'd all be giving great search results but they're going after lithuanians

2:01:30

they're going after

2:01:31

women they're going after gays and so you'd end up with a competitive search

2:01:36

environment like there

2:01:37

used to be when google started out uh and more importantly you'd end up in with

2:01:43

innovation in search

2:01:45

there's been no innovation in search now for 20 years let me look at google's

2:01:48

home page it's the same and

2:01:51

the methodology is the same uh so you'd end up with innovation you'd end up

2:01:55

with competition

2:01:56

all with one very simple regulatory intervention uh and this was uh done with

2:02:03

at&t back in the 1950s

2:02:06

is there any consideration to adopt this as have you had conversations where

2:02:11

you think that this could

2:02:12

actually become a real thing positively this could happen because there are

2:02:16

members of congress who get

2:02:18

it uh they and and they recognize that this approach is is light touch compared

2:02:25

to a million other

2:02:26

things like the the breakups you know they're going to do breakups that's

2:02:29

nonsense uh so yeah it could

2:02:33

happen but it doesn't need to happen here it could happen in the eu because

2:02:38

google has i think 18 data

2:02:39

centers i think only half of them are in the united states uh i think nine of

2:02:44

them are in the u.s and

2:02:46

five of them are in the are in europe and and and brussels they they can't

2:02:52

stand google of course they've

2:02:54

they've fined them you know these billion euro fines they've hit hit them up so

2:02:59

far with three

2:03:00

massive fines uh totally more than 10 billion euros since i think 2017. and

2:03:07

what have they fined them for

2:03:08

um well bias in search results how about that that's that's the first big thing

2:03:16

this is and this is

2:03:17

brussels yeah why does the united states implement some sort of a similar

2:03:21

punishment because of that

2:03:24

because google owns the united states i mean there there's an antitrust action

2:03:30

right now in in progress

2:03:31

against google and it's it's the attorney generals i believe from every single

2:03:36

state in the united states

2:03:38

except california because the attorney general of california his main his main

2:03:46

supporter is google

2:03:47

google's based in california so it's so crazy that they have this massive antitrust

2:03:52

action in progress

2:03:53

and the the ag of california is staying out of it oh yeah his name is uh basara

2:04:01

i think but uh point is

2:04:04

that uh this we're talking about light touch regulation that could actually be

2:04:09

done it could be enacted by

2:04:11

the european union i've talked i've spoken in brussels i've talked to people

2:04:14

there that that's the kind of

2:04:16

thing they could do and if they did it it would affect google worldwide and you

2:04:20

would end up with

2:04:22

thousands of very good search engines but each aiming at niche audiences and

2:04:28

doesn't that sound like

2:04:29

the world of media the world you're in yeah and it doesn't seem like this would

2:04:34

bankrupt google oh no

2:04:35

no not at all no they still make massive amounts of profit absolutely and it

2:04:40

would fall in line with

2:04:42

don't be evil well the fact is that that depending on who the leadership is at

2:04:47

any point in time at

2:04:48

google they might look at that idea and say hey look this will be great for us

2:04:52

really sure but don't

2:04:55

you think that any self-regulatory move like that would set up possible future

2:05:03

regulatory moves like

2:05:05

wouldn't they want to resist any kind of regulations for as long as they

2:05:08

possibly can

2:05:09

but if they thought that they were going to be attacked in some worse way and

2:05:13

that this is a way

2:05:15

out um you know they're they're numbers people they're just numbers people i'll

2:05:20

give you an example

2:05:22

of google look just looking at numbers okay 2018 election day

2:05:29

so because i i already told you we got them to stop doing this in georgia but

2:05:36

now i'm going back in

2:05:37

time 2018 election day google on its home page uh post this go vote everyone go

2:05:44

vote so google does this

2:05:46

now the question is were they sending it to everyone i don't know but let's

2:05:53

assume they were sending it

2:05:54

to everyone okay the first thing that happened that day was all the major news

2:05:59

services praised google

2:06:02

praise google for for doing this amazingly good public service

2:06:09

right and i looked at it and i immediately said that's not a public service

2:06:15

that's a vote manipulation

2:06:17

so i sat down and i did exactly what a data analyst or data scientist at google

2:06:24

would do and i just ran the numbers

2:06:26

okay and by the way this is something we're also studying it's called dde the

2:06:31

differential demographics

2:06:34

effect the fact is google has more democrat users than republican users so if

2:06:41

they sent that to

2:06:43

everybody that day that would give 800 000 more votes it would give you know

2:06:51

more votes to everybody but it would give 800 000 more votes

2:06:55

to democrats than to republicans this is spread across again midterms so it's

2:07:00

hundreds of hundreds of races

2:07:02

so if they send it to everyone they win so if if google is biased towards

2:07:09

democrats in terms of

2:07:11

users what are the republicans using what kind of tech are they using i mean if

2:07:17

you're saying that

2:07:18

they're google sending out these messages right and that most of their users or

2:07:22

the majority of their users

2:07:23

are democrats right so what are what's the majority of republicans i'm not sure

2:07:30

what you're asking there

2:07:33

you're saying google's sending out this message go vote yeah and through that

2:07:36

message because of the bias

2:07:38

because of the uh the difference in the numbers yeah more democrats are getting

2:07:43

it because more democrats use

2:07:45

google yeah right so what are republicans use well they're still using google

2:07:49

but i mean you're is it

2:07:51

there's not more democrats in the country is it less republicans are online

2:07:56

like what is what's the bias

2:07:58

there like what is the difference uh i believe there are a fewer republicans

2:08:04

online that's so that could be a

2:08:07

factor uh last time i looked at the numbers that looked like there were a few

2:08:12

more democrats you

2:08:13

know people registered as democrats then people registered as republicans um so

2:08:17

you know combination

2:08:19

of factors uh as you know in recent years uh uh republicans and conservatives

2:08:25

they have set up uh tried

2:08:27

to set up a number of platforms of their own parlor is one yeah so they're you

2:08:32

know they're social media

2:08:33

platforms yeah they're trying to you know carve out their own their own world

2:08:37

their own niche on the

2:08:38

internet so they don't have to use uh these inherently biased uh platforms now

2:08:46

all this uh search engine

2:08:49

stuff and the the manipulation how much does this apply to social media as well

2:08:56

and is there cross

2:08:57

contamination well social media is more is more complicated because social

2:09:03

media we we're the ones

2:09:06

who are posting all the stuff so we're providing all the all but not

2:09:10

necessarily because if you pay

2:09:12

attention to manipulation right there's a lot of manipulation that's coming

2:09:16

from overseas allegedly that

2:09:18

my position has always been like you know who's funding these troll farms in macedonia

2:09:24

right and how do we

2:09:25

how do we know that it's not someone in the middle of kentucky okay you're

2:09:29

absolutely right there's a

2:09:30

tremendous amount of content that is posted by bots that is coming from

2:09:35

organizations in other countries

2:09:37

you're absolutely right i mean i think uh facebook just in the first quarter of

2:09:43

last year took down

2:09:45

two billion profiles facebook's top 20 christian sites 19 of them are run by

2:09:52

troll farms

2:09:53

right so there's there's a lot of junk out there that's true so when you when

2:09:57

you get to social

2:09:58

media it the picture gets very complicated however here's what you got to know

2:10:05

it's algorithms that

2:10:08

determine what goes viral everyone believes this crazy myth everyone believes

2:10:14

this everyone i know

2:10:15

believes this my kids believe this everyone believes that virality is

2:10:20

mysterious it's like winning

2:10:22

the lottery and that's not true because if i'm if i control the algorithms okay

2:10:31

i determine what's

2:10:31

going to go viral and what is not now that's again a tremendous source of power

2:10:38

and of course they do

2:10:40

want a bunch of stuff to go viral even crazy negative stuff because more

2:10:44

traffic more money but the bottom

2:10:47

line is they control the algorithms that determine what goes viral that's where

2:10:53

a lot of the power lies

2:10:55

uh in the world of social media that's where you know the francis haugen um uh

2:11:02

you know revelations

2:11:04

are extremely important and just having that that underbelly that ugly underbelly

2:11:09

of that company exposed

2:11:10

so no you know no matter how you look at this for for us to sit by eisenhower's

2:11:18

speech actually says that we

2:11:20

that we have to uh we we have to be vigilant he uses the word vigilant we have

2:11:26

to be vigilant

2:11:27

so that we don't let these kinds of powers take over our government our

2:11:32

democracy our our nation

2:11:35

and we have not been vigilant and we're not being vigilant now and the research

2:11:41

you know that we

2:11:42

do in the monitoring systems both the research is over here and the monitoring

2:11:46

stuff's over here

2:11:47

that's that is reminds me every single day i mean as i'm looking at numbers

2:11:52

every single day you're

2:11:53

keeping you're keeping me away from my data and my research by the way but uh i'm

2:11:59

reminded every

2:12:01

single day of just how serious this this stuff is this is deadly serious for

2:12:08

the future of not just

2:12:09

our country but all of humanity and the and the fact that people don't know it

2:12:14

or that that they

2:12:16

sometimes they that i've given speeches sometimes people say i don't care i

2:12:20

have nothing to hide i've

2:12:22

heard that that infuriates me yeah i've heard that about government

2:12:25

surveillance too yeah yeah well look

2:12:28

at that look at the chinese the chinese lives the lives of the chinese are

2:12:32

strictly controlled by the

2:12:33

government and more and more they're using high tech and google has worked with

2:12:39

the government of china

2:12:41

to improve that technology and to limit access to search results that is

2:12:45

correct so so google does

2:12:48

what google what's good for google saying they're not they're not the sweet

2:12:53

little old lady running the

2:12:55

the library okay that people think that's that's not what they are they do what's

2:12:59

good for google

2:13:00

i had a friend who worked at google during the time they were working and

2:13:04

having negotiations with china

2:13:06

and her position was that china was just going to copy google's tech if they

2:13:11

didn't do that yeah

2:13:13

i've heard that yeah yeah so like they were in this position where you know

2:13:18

like tiananmen square

2:13:19

like you cannot bring up like tiananmen square is not searchable you can't find

2:13:24

that in china the results

2:13:26

of it like the guy standing in front of the tank like there's a lot of

2:13:30

information from tiananmen square

2:13:32

that would look terrible that's right so you can't find it no it's suppressed

2:13:37

and you know google's an

2:13:39

expert at bring at doing that kind of suppression they're they're they're the

2:13:43

biggest sensors in the

2:13:44

history of humankind so they but but still look i know i'm i'm i'm i'm a very

2:13:51

idealistic person okay

2:13:53

i've i've i've i've handed out tests of idealism in my classes when these are

2:13:58

these are young people in

2:13:59

their 20s okay and i i outscore them okay i have i've always outscored all my

2:14:04

students i'm very idealistic

2:14:06

i believe in truth justice the american way like superman and you know all that

2:14:12

crazy stuff

2:14:12

but

2:14:16

i i'm going to do my best to get people to wake up okay that that's why i i

2:14:25

that's why i said yes

2:14:27

okay i'll give up a day of looking at my numbers i'm going to come and talk to

2:14:31

you because

2:14:33

i i'm i am trying to get people to listen i'm trying to figure out you know how

2:14:37

to get people

2:14:38

to listen people must people must listen let me put it another way that

2:14:42

monitoring system i keep

2:14:43

talking about that's not optional okay that's not optional that must be set up

2:14:50

if if we don't set

2:14:52

that up we will have no clue we will not understand not only why this person or

2:14:59

that person won an

2:15:00

election we will not understand what's happening with our kids i have five kids

2:15:08

when my daughter

2:15:09

janelle was about 12 and i'm sure you've done this i i think you have kids

2:15:13

roughly that age

2:15:14

so i did the thing a dad does sometimes i went into her bedroom

2:15:18

and just to check on her and i noticed one of her little electronic devices so

2:15:24

i the old ipod or

2:15:26

whatever it was is sitting next to her pillow but then i looked a little closer

2:15:29

and i went

2:15:30

what there were five electronic devices and circling her pillow

2:15:35

it it's our kids that we need to be thinking about here okay it's not just the

2:15:45

their future but

2:15:46

literally how are they being impacted right now what kind of content are they

2:15:53

being shown

2:15:54

is it pornographic is it violent is it i don't know is it are they being pushed

2:15:59

one way or another

2:16:00

politically we we are in the process right now of trying to expand our research

2:16:07

to look at kids and to see what content these kids are being shown because it

2:16:12

doesn't matter how

2:16:12

uh vigilant you are as a parent okay the fact is a 99 of what your kids are

2:16:21

seeing online or

2:16:22

experiencing online you're you're unaware of and that's why as i say solving

2:16:30

these problems is not

2:16:33

optional we must solve these problems we must set up monitoring systems and and

2:16:40

that and it's relatively

2:16:41

cheap by the way because now that we've done it you know repeatedly we know how

2:16:45

to do it uh and if we

2:16:47

don't we are essentially being controlled by big tech we we we have we're

2:16:53

turned over

2:16:54

our democracy we've we've turned over our children we've turned over literally

2:17:02

our minds we've turned

2:17:03

them over to tech companies and algorithms i i i think that's insane it is

2:17:14

insane and where does it go that's

2:17:16

the like how bad can this get yeah but look we got we got google with the help

2:17:22

of some senators we got

2:17:24

google to stay out of georgia yeah that that's to me that's that's a wake-up

2:17:28

call that says wait a

2:17:29

minute we not we know not only how to track these companies okay but we can

2:17:35

stop them have you ever

2:17:36

had a conversation with anybody from google well ray kerswell's an old old

2:17:42

friend of mine his wife

2:17:44

sonia i was on the board of her school for autistic kids for 15 years i mean i

2:17:49

i went to their daughters

2:17:50

bat mitzvah they came to my son's bar mitzvah et cetera et cetera so but he won't

2:17:54

talk to me now

2:17:54

he won't talk he's head of engineering at google so he won't talk to you now

2:17:58

because he's not allowed

2:18:00

to do you know why he won't talk to you i don't know and and even sonia won't

2:18:04

talk to me now

2:18:06

and we i've never had any conflict with either ever ever ever going back i don't

2:18:11

know 20 years

2:18:12

never never i mean they're lovely people they're very nice people i know their

2:18:16

kids and you know

2:18:17

neither of them now will talk to me just because he is an executive at google

2:18:22

he's an executive at

2:18:23

google i i was supposed to be on a panel with another top executive at google

2:18:28

who used to be a

2:18:29

professor like a stanford or some big school and i'm supposed to be on a panel

2:18:33

with him in germany and

2:18:36

he when he found out what it is i do he he pulled out he did not show up there

2:18:42

were a thousand people

2:18:44

in that audience who came to see him the google guy not me he didn't he didn't

2:18:51

show up wow

2:18:52

we they uh i believe i'm pretty darn sure and this upset my uh wife misty at

2:19:02

the time they sent a uh

2:19:06

a private investigator to our house

2:19:08

what posing posing as someone who wanted to be a research intern what what did

2:19:16

he do when he was

2:19:17

in the house i don't know did he leave bugs did i don't know i have no idea

2:19:22

what he did but you know

2:19:25

i was sitting there with a staff person we're asking the guy questions like we

2:19:29

do for anyone who applies

2:19:30

to work with us and the guy first of all he's wearing like a white shirt and a

2:19:35

tie which

2:19:36

no one does in san diego so uh but we were asking him questions and his answers

2:19:40

didn't make any sense

2:19:42

at all also well uh you know i said him so i so you're interested at some point

2:19:46

going to graduate

2:19:47

school in psychology and he goes uh graduate school uh psychology uh i don't

2:19:55

know so none of this made

2:19:58

sense we looked the guy up afterwards he was supposed to get back to us he didn't

2:20:04

we looked him up he worked

2:20:05

for private investigation firm now how do why do i think google sent him

2:20:11

because that i had written

2:20:14

to that executive at google who was supposed to be on that panel in germany and

2:20:19

you know just telling

2:20:22

him about my work giving him links and so on because he's a former professor

2:20:25

okay it was only a few days

2:20:27

after that that that this guy showed up at our house and then it was a few days

2:20:32

after that that the google

2:20:34

executive pulled out of that conference jesus

2:20:40

and so they're not interested in communicating with you um they've obviously

2:20:47

told either told people not to

2:20:49

communicate with you or the people that you would like to talk to are aware of

2:20:56

your work and they feel

2:20:57

that it would negatively impact their job or their career oh there's their

2:21:02

career i'm telling you

2:21:03

they're they're this this is this has just been for me in many ways a nightmare

2:21:09

an absolute nightmare

2:21:11

because they're they're people who won't who won't help us who won't serve on

2:21:15

our board who won't do

2:21:17

this who won't do that i we we had an intern lined up who was very very good

2:21:21

you know we get some really

2:21:23

sharp people they come from all over the world actually and they we had this

2:21:27

person all signed

2:21:29

up her start date was set up and she called up and she said i can't do the

2:21:32

internship said uh why not

2:21:36

my grandmother my grandmother looked you up online and she thinks that you're

2:21:43

like some sort of trump

2:21:44

supporter and she said she'll cut me off if i do this internship jesus so that's

2:21:53

one of the reasons i keep

2:21:55

repeating i did it four times but i keep repeating you know what you lean left

2:22:02

yeah yeah because uh

2:22:05

but it doesn't help it doesn't help they don't care well ever since that ever

2:22:10

since i testified

2:22:13

uh things have terrible things uh have happened my one of my board members said

2:22:18

to me look he said

2:22:19

he said in a way you should be grateful and and please that they left you alone

2:22:27

for so many years

2:22:28

he said but that but that for them was you know that was it that was the final

2:22:32

straw and you know what

2:22:34

happened after the after that hearing was trump tweeted about my my testimony

2:22:41

hillary clinton

2:22:43

whom i've been supporting forever hillary clinton replies to trump on twitter

2:22:48

and says uh this man's

2:22:50

work has been completely discredited it's all based on data from 21 undecided

2:22:55

voters

2:22:56

what what then she said that yeah can you sue her i i i could i could have i

2:23:05

maybe you know but

2:23:08

the you know it would take me away from the research i would cost a fortune yes

2:23:13

i could have and probably

2:23:15

could still sewer yes because that's a factual statement yeah which is false

2:23:20

and defamatory

2:23:21

but you know i have to try to stay focused i really do and i i i understand i i

2:23:26

i keep getting pulled

2:23:27

away and i believe me what's happening right now in our war in our work is

2:23:32

tremendously exciting and

2:23:34

everyone loves what we're doing we love each other we love the whole thing that

2:23:40

we're doing we're

2:23:41

we love the discoveries we're blown away over and over again by the numbers

2:23:48

and uh and we have very ambitious plans moving forward um so i mean we're i

2:23:56

mean

2:23:57

you know as long as as long as i can still function i'm gonna i'm gonna keep

2:24:05

doing this i mean this is

2:24:06

uh it's important it's important i have five kids okay i i someday i hope i'm

2:24:12

gonna have grandkids and

2:24:14

you know it's important for for for the world right now it's important for our

2:24:19

democracy which

2:24:20

as far as i'm concerned is an illusion it's an illusion when you look at the

2:24:24

numbers you realize

2:24:26

no this is you there's there's a player in here that you don't see that doesn't

2:24:35

leave a paper trail

2:24:38

and it can shift millions of votes

2:24:40

and if it didn't exist and someone introduced it nefarious political parties or

2:24:48

nefarious people

2:24:49

would 100 be excited about it like look what we have now yeah yeah yeah yeah

2:24:55

and then if we found

2:24:57

out that someone who was like say if donald trump you know if the democrats

2:25:01

found out that donald trump

2:25:03

had implemented some sort of a system like you're talking about people would be

2:25:08

furious that's right

2:25:09

they would say he is a threat to democracy he should be locked up he should be

2:25:13

in prison for treason

2:25:15

does it concern you that you're the only one

2:25:20

well i don't understand that because this is really good science i mean in in

2:25:25

other words the the work i do

2:25:27

has been published in top journals uh that that initial seam paper that was

2:25:32

published in the

2:25:32

proceedings in the national academy of sciences it has since been downloaded or

2:25:37

acts or accessed from

2:25:38

the national academy of sciences more than a hundred thousand times for for a

2:25:42

very technical scientific

2:25:44

paper that's practically unheard of i've never had that happen before and the

2:25:49

you know the papers that

2:25:51

i have coming out they're in top journals we're submitting more in top journals

2:25:55

this is good science

2:25:57

so why aren't 20 universities doing this stuff you know why because they're

2:26:02

getting funding from google

2:26:04

or they're terrified of google the the the head of europe's largest publishing

2:26:10

conglomerate

2:26:11

his name is dopfner published a piece a few years ago was actually called fear

2:26:16

of google

2:26:17

it's a superb piece it's about how in a lot of industries right now p you

2:26:23

cannot make a move

2:26:26

without taking into account how that's how google's going to react i want to

2:26:32

google fear of google

2:26:34

yeah google fear of google let's see what happens here yeah see if you get dopfner

2:26:38

fear of what's it

2:26:42

suggest fear of rain fear of god g-o-o fear of google here we go yeah what does

2:26:50

it say who's afraid of google

2:26:53

everyone wired magazine why we fear google that's uh some other website that i

2:27:00

don't know um what americans

2:27:04

fear most according to their google searches why are people afraid of google

2:27:11

core quora

2:27:16

well don't forget whatever you're getting has to do with your your history so

2:27:21

someone else is going

2:27:22

to get a different list and that's that's scary because and you know ask a con

2:27:28

artist i don't know

2:27:29

do you know any con artists because i've known i've met one or two uh you ask a

2:27:33

con artist and they

2:27:34

will tell you straight out if you want to do a con the more you know about

2:27:38

someone the easier it is for

2:27:41

sure so that's the problem there is that everything is personalized and

2:27:45

everything you're seeing there is

2:27:47

based on you and your 20 plus year history and the three million pages of

2:27:51

information they have about you

2:27:53

they they build digital models of all of us do you use social media uh i've

2:28:00

been trying to uh

2:28:03

close my facebook page for i think at least three years now they won't let me

2:28:07

close it

2:28:08

uh they won't let me change it it's still up there um i didn't even set it up

2:28:13

originally i think it was

2:28:15

misty my wife who set it up but they won't let me touch it and they won't let

2:28:19

me close it speaking of

2:28:22

which okay um i'm sitting next to a guy on an airplane the other day and he

2:28:29

says um he's saying

2:28:31

how he doesn't he's very proud that he doesn't use any social media i said so

2:28:37

wait you mean you you

2:28:38

don't have a facebook page and he goes oh no positively i do not have a

2:28:42

facebook page i said

2:28:44

you have a facebook page he goes no what are you telling me he says i know i

2:28:47

know i know i don't

2:28:48

have a facebook i would know if i had a facebook i said no you don't understand

2:28:51

every time someone mentions you on facebook or posts a photo in which you

2:28:58

appear

2:28:58

okay that goes into your facebook profile you have a big an enormous facebook

2:29:07

profile except that you can't

2:29:09

see it and what do you say to that well i i said it in a way i guess that was

2:29:17

pretty convincing and he was

2:29:19

upset he he didn't like the the concept that he might have a facebook profile

2:29:25

that he doesn't know

2:29:27

about that you can't have opt out well it's not only that but even when you

2:29:31

even when you think

2:29:32

you're i mean google god god i i do they ever say anything truthful publicly

2:29:37

that's a big question

2:29:38

but i mean google claims for example you can you can delete your google data

2:29:43

you can go through the motions of saying i want to delete my google data and

2:29:49

then from that point on you

2:29:49

can't see your google data but they don't delete it they never delete it even

2:29:55

if they deleted it on one

2:29:57

server it's sitting there and backup after backup after backup and they can and

2:30:02

not only that if you

2:30:03

read i think i'm the only one who reads these things but if you read google's

2:30:07

terms of service and

2:30:09

google's privacy policy it says right in there we reserve the right to hold on

2:30:17

to your data

2:30:19

as we might be required by law or in any other way that protects google

2:30:27

now what about twitter and instagram things like that well with with twitter

2:30:37

ram and facebook are the

2:30:38

same entity right instagram yeah and and uh uh yeah the instagram is part of

2:30:45

facebook so here my main concern

2:30:48

is again the is is this power to suppress so i don't know what your opinion is

2:30:58

like i'd love to know what

2:30:59

your opinion is of of what happened early 2021 i think it was when both

2:31:04

facebook and twitter uh shut down

2:31:07

donald trump what do you think of that i don't think they should be shutting

2:31:11

down people at all and by the

2:31:13

the way he was still president yeah i think that what these things are i think

2:31:19

we're in a time in history

2:31:23

where you can't look at them as just private companies because the ability to

2:31:29

express yourself

2:31:30

is severely limited if you're not in those platforms i think they should be

2:31:34

looked at like utilities and i

2:31:36

think they should be subject to the freedoms that are in our constitution and

2:31:42

the bill of rights and i

2:31:43

think the the way the first amendment protects free speech it should be

2:31:48

protected on social media

2:31:49

platforms because i think as long as you're not threatening someone or doxing

2:31:53

someone or putting someone in harm

2:31:55

or lying about them i think your ability to express yourself is a gigantic part

2:32:01

of us trying to figure

2:32:02

out the truth like when it comes to what are people's honest opinions about

2:32:08

things do we know

2:32:09

you know we don't know if honest opinions are suppressed because they don't

2:32:14

match up to someone's ideology

2:32:16

i think that's it's a critical aspect of what it means to be american to be

2:32:21

able to express yourself

2:32:23

freely and to find out how other people think is educational if you only exist

2:32:30

in an echo chamber and

2:32:32

you only hear the opinions expressed of people that align with a certain

2:32:37

ideology that's not free speech

2:32:39

i think free speech is critical i think the answer to bad speech and this is

2:32:45

not my thought this is many

2:32:47

brilliant people believe this is better speech more thought is more convincing

2:32:54

arguments more logical

2:32:56

sustained reasoning and debate and discussion and i think as soon as they start

2:33:02

suppressing ideas

2:33:04

as soon as they start suppressing and and deleting youtube videos and and and

2:33:09

banning people from twitter for things that have now been proven to be true

2:33:14

right there's a lot of people that were banned because they questioned the lab

2:33:17

leak theory

2:33:18

you know they were their their videos were pulled down they were you know

2:33:23

they were suspended from twitter now that's uh cover of newsweek it's uh

2:33:28

constantly being discussed sure

2:33:29

it's discussed in the senate well this is a very old idea the way voltaire said

2:33:33

it um i'm paraphrasing

2:33:35

is uh you know i may not agree with what you say but i will defend to the death

2:33:40

your right to say it

2:33:41

yeah and uh you know i think it was dead wrong i mean i was happy of course

2:33:47

that this happened but i think it was

2:33:49

dead wrong for twitter and facebook to to literally cut off communication

2:33:54

between the current president of

2:33:57

the united states who's still in office and his his supporters yeah and the

2:34:03

real question too is how much

2:34:06

manipulation was being done by federal agents in the january 6th event like did

2:34:15

they engineer

2:34:17

people going into the capitol did they encourage them and you saw that ted cruz

2:34:23

conversation with the

2:34:24

woman from fbi where she said i can't answer that did the fbi incite violence i

2:34:29

can't answer that

2:34:30

you can't answer that that that should be never would they incite violence

2:34:37

would the fbi

2:34:41

manipulate people to do something illegal that would not have done that look if

2:34:46

you pay attention to

2:34:47

those people like if you watch uh there's a great documentary on um hbo this q

2:34:52

anon documentary it's

2:34:54

into the storm have you seen it no it's worth watching it's a four four parts

2:34:58

something five

2:35:01

something like that uh multiple parts and it's great and you realize like how

2:35:07

easily manipulated

2:35:08

some of these poor folks are they get involved in these movements now if

2:35:13

somebody wanted to disparage

2:35:16

a political party or to maybe have some sort of a justification for getting

2:35:21

some influential person

2:35:22

like donald trump offline that would be the way they would do it that's yeah

2:35:29

now say look at he's

2:35:30

responsible for violence he's responsible for look at this is as bad as pearl

2:35:35

harbor this is as bad as d

2:35:37

day but but you know the bottom line here really goes back to george orwell

2:35:43

which is you know if you

2:35:44

control information you control everything yes and what we've done is we've we

2:35:50

have lost control uh

2:35:54

authorities gatekeepers who are well-trained journalists let's say um you know

2:36:01

we we've lost

2:36:03

control over information information is now largely in the hands of algorithms

2:36:08

which are controlled by

2:36:11

executives who are not accountable to the american public they're accountable

2:36:14

just to their shareholders

2:36:16

so you know i i i just think we're in a terrible position i'm going to you know

2:36:21

you asked me this

2:36:23

before but i'm going to continue i'm just i'm going to do my research i'm going

2:36:28

to keep digging i'm

2:36:29

going to do my monitoring i'm going to try to set up i hope this year this

2:36:33

nationwide system uh you know

2:36:36

and so and so i'm going to point to my hat so it says tame big tech dot com

2:36:43

okay that's your website

2:36:44

could you say it again tame big tech dot com well done well done thank you uh

2:36:49

yes because i i'm i need

2:36:52

help from people i need i need people to provide funds but also to help us find

2:36:59

funds this is the year

2:37:01

where i think we should set up this first large scale nationwide monitoring

2:37:06

system which could be

2:37:07

used not only to keep an eye on these midterm elections but we could finally

2:37:13

start to look

2:37:13

at our kids that that's become my main concern now is our kids because we don't

2:37:20

know we don't

2:37:21

understand what the hell they're doing we don't know what they're looking at

2:37:24

what they're listening to

2:37:26

but i can tell you for sure that a lot of what's happening is is really being

2:37:31

done very deliberately

2:37:33

and strategically by the big tech companies because they're going to do they

2:37:39

have control over the

2:37:40

information that everyone has access to and they're going to do what's best for

2:37:45

them what makes them the

2:37:46

most money what spreads their values and of course sometimes what's good for

2:37:50

intelligence purposes

2:37:52

they're going to do those things and we have no idea what they're doing unless

2:37:58

we track them

2:38:00

so anyway that's my fantasy this is this is the year where we're going to get

2:38:05

this thing

2:38:06

you know running in in a way that it would be self-maintaining that so would

2:38:11

continue year after year

2:38:12

after year um not optional i said that before it's not optional so we we um if

2:38:19

people go to tame big tech

2:38:21

dot com uh they can get more information um i actually created a special uh

2:38:28

booklet that we're going to

2:38:29

give out for free i i had a copy to bring you and i left it in my car but but

2:38:35

we have this booklet i

2:38:36

took my congressional testimony i updated it i expanded it and uh and we and so

2:38:43

and i turned it into an essay

2:38:45

which is called google's triple threat to democracy our children and our minds

2:38:52

and so and it and it's

2:38:55

and it says right on it uh prepared for you know joe rogan's whatever okay uh

2:39:02

and i i cannot you know

2:39:06

i am doing this with the help of all my wonderful team teammates i am i am so

2:39:11

far still the only one

2:39:13

and that's that's disgusting that's horrible that's there's something

2:39:18

fundamentally wrong with that

2:39:20

picture and uh imagine if you didn't exist like if you never had started this

2:39:26

would we be completely in

2:39:28

the dark about this stuff you would you would be completely in the dark because

2:39:35

there's no one

2:39:36

doing these kinds of experiments and there's no one collecting all that but

2:39:40

when you think about the

2:39:41

internet and how many people on the internet are you know interested in

2:39:46

politics and interested in the

2:39:48

influence of big tech and the dangers of big tech you know when it caught when

2:39:51

they talk about

2:39:52

psychological dangers to you know like jonathan hate's work with young girls

2:39:56

and self-harm and suicide and

2:39:59

the rise of you know depression amongst young people you would think that this

2:40:03

would also be something

2:40:04

that people would investigate and dig into the fact that you're the only one

2:40:08

that's uh it's very strange

2:40:10

i don't it's a tremendous responsibility and it's it's horrible i don't you

2:40:16

know i don't like the

2:40:18

responsibility but i'm i'm gone at the moment so that's this so we have um we

2:40:24

have two cats in our

2:40:25

office but this and i'm the poop cleaner so when i'm gone i mean someone else

2:40:32

has to clean the poop so

2:40:34

i said i said to my uh associate director i told her last night i said just

2:40:39

remember that the more

2:40:41

credentials you get the more responsibilities you get the more poop you're

2:40:44

going to have to clean

2:40:47

and that's the truth so it's very tough i don't like uh i don't like being in

2:40:55

this position and

2:40:57

i and i do wonder about misty um you know i'll probably always wonder about

2:41:01

misty and i'll never

2:41:03

know because again her her truck disappeared so well listen man thank you very

2:41:11

much for coming here

2:41:12

and thanks for taking your time and i know you're very busy and i'm glad we

2:41:16

could get this out there

2:41:18

uh i don't i don't know what to say i mean you you've given me a great

2:41:24

opportunity i i i hope

2:41:27

i hope this was you know interesting for you it was okay scary good then if i

2:41:33

scared you i'm

2:41:34

i'm doing my job yeah you scared the out of me good

2:41:38

all right thank you robert thank you joe bye everybody

2:41:53

you