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Eliot Higgins: How Bellingcat Hunts Down the Truth | Podcast | In Good Company

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Eliot Higgins: How Bellingcat Hunts Down the Truth | Podcast | In Good Company

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0:01

Hi everyone. I'm Nicolai Tangen, the CEO

0:03

of the Norwegian Sovereign Wealth Fund.

0:04

And today we have a very special

0:06

episode. We are recording in front of a

0:09

live audience of nearly 200 people.

0:12

These are my colleagues

0:14

at the Sovereign Wealth Fund. And we are

0:15

joined by the very impressive Eliot

0:17

Higgins, the founder of Bellingcat,

0:20

the world's leading open-source

0:22

investigative collective.

0:24

Now, Eliot is not a spy, not a trained

0:27

journalist,

0:28

is actually a college dropout who taught

0:30

himself to investigate war crimes from

0:32

his kitchen table in Leicester.

0:34

He's unmasked Russian assassins, exposed

0:37

chemical weapons used in Syria, helped

0:39

identify Navalny's poisoner.

0:42

And I've been really looking forward to

0:44

this, Eliot. Warm welcome.

0:45

>> Thanks for having me on.

0:46

>> So, just to start, what is Bellingcat?

0:48

>> So, um Bellingcat does something called

0:50

open-source investigations. So, that's

0:52

using publicly available material to

0:54

investigate a range of different topics.

0:56

And really over the last 15 years, what

0:59

is publicly available material has just

1:01

mushroomed to just a huge extent. It's

1:04

stuff like social media posts,

1:06

uh satellite imagery available through

1:08

things like Google Maps or other

1:09

services,

1:11

um all kinds of things like marine

1:12

traffic data or air flight data that's

1:15

also publicly available. So, we take all

1:17

that data and then we investigate

1:19

different things. And that's included uh

1:21

chemical weapons attacks in Syria, the

1:23

downing of Malaysian Airlines flight

1:25

MH17,

1:26

uh more recently a lot to do with

1:28

America's bombing of Iran, uh ISIS and

1:31

VHS raids in the US as well. So,

1:33

>> How do you decide what to what to focus

1:35

in on?

1:36

>> Well, early on it's I mean, the whole

1:38

field of open-source investigation was

1:41

very much led by um

1:43

kind of obsessive nerds on the internet

1:45

just doing what was interesting to them.

1:47

And really the big events were initially

1:49

the Arab Spring in Syria, then the

1:52

shooting down of MH17, then Russia's

1:54

invasion of Ukraine. Um and so really

1:59

that's kind of was just a bunch of

2:00

volunteers doing things that were

2:01

interesting to to them, but now we have

2:03

teams who work on financial

2:05

investigations, uh, what we call online

2:08

ideologies, which is quite broad, uh,

2:11

and conflict.

2:12

>> So, how many how many different hotspots

2:14

are you looking at at each

2:16

point in time?

2:17

>> Um, it it varies, but it's it's like at

2:19

the moment we're looking at, uh, of

2:21

course, what's happening in Iran, but

2:23

we're also looking at, uh, the DRC and

2:26

Sudan and other places where there's

2:27

ongoing conflicts. Sometimes an

2:30

investigation is a really, you know,

2:32

multi-month month process. Sometimes

2:35

it's reacting really quickly to events

2:36

that are happening on the ground in

2:38

different contexts.

2:39

>> Now, you live here in Leicester. Uh, you

2:41

got an organization in Holland, but you

2:43

have a big network. Just how does it

2:45

work?

2:46

>> So, um, we have the central Bellingcat

2:48

organization, which has about 35 staff

2:50

members, mostly researchers and

2:52

trainers. We then have a community of

2:55

volunteers who we train and, uh, we can

2:57

direct. That's about 200 people. There's

2:59

also a Discord server where we have lots

3:01

of people. It's kind of our community

3:03

server that has about 43,000 people on

3:06

it, and they, um, what's great about

3:08

that is they kind of really have the

3:09

values of Bellingcat, that it's really

3:11

really about the research first before

3:13

they form an opinion about something,

3:14

and that's something that's quite quite

3:16

rare in online spaces. But also, they

3:18

find stuff that we're not looking at,

3:20

and then that becomes kind of part of

3:21

our process as well.

3:22

>> are the values what would make me become

3:25

one of your

3:26

uh,

3:27

kind of, what should we say, reporters

3:28

or helpers or investigators?

3:30

>> It's you never prejudge a situation.

3:32

Just because you feel something should

3:34

be the truth doesn't mean it actually is

3:35

the truth. So, um, I I think that's a

3:38

very important over contentious issues

3:40

as well, where there tends to be two

3:42

sides who just want to pick fights with

3:43

each other on the internet. We're not

3:44

interested in that. We want to look at

3:46

the evidence first and draw our

3:47

conclusions based off that evidence.

3:50

Um, but also it's about inclusion as

3:52

well. It's saying it's not just about

3:54

what we do at Bellingcat, but teaching

3:56

other people these skills so they can do

3:58

their own investigations and form their

3:59

own communities. So, community building

4:02

with those values is something that's

4:03

really a core part of what we do at

4:04

Bellingcat.

4:05

>> Now, we have just so much to learn from

4:08

the methodology here. So, let's just

4:09

always think, you know, what how can we

4:11

how can we use this? But, let's just

4:12

start with the beginning. 2012, you're

4:14

sitting at your kitchen table and you're

4:16

looking at YouTube clips from the Syrian

4:18

war.

4:19

What did you What did you see?

4:21

>> Yeah, so um,

4:23

I would really like to say I had a kind

4:24

of noble

4:24

>> why were you looking at YouTube clips

4:26

from the Syrian war?

4:27

>> I I wish I could say I had this noble

4:29

intention to become a great human rights

4:30

or journalist or something. No, I was

4:32

arguing with people on the internet. And

4:34

I wanted to win the arguments. And there

4:36

were all these videos coming from places

4:37

like Libya and Syria. And really in

4:39

those kind of online communities, they

4:41

were just being used as sticks to beat

4:43

each other over the head with. They

4:44

weren't fact-checking them. They were

4:45

just saying, "Oh, this proves that I'm

4:47

right and you're wrong." But, I just

4:49

wanted to know what was going on in

4:50

these places. So, I realized you could

4:52

use satellite imagery to figure out

4:54

where stuff was filmed. And we call this

4:56

geolocation. It's a core skill now. But,

4:58

at point it was just me winning

5:00

arguments on the internet. But, I just

5:02

really thought, "Well, this is

5:04

kind of deepening my understanding of

5:05

what's actually happening in these

5:07

conflicts." And I started like posting

5:09

about on Twitter and then doing a blog

5:12

so I had more places to write with no

5:13

intention of anyone ever taking me that

5:15

seriously, but eventually they did.

5:18

>> But, what did you see?

5:19

So, I saw pictures.

5:20

>> In Syria, I I didn't speak any Arabic so

5:23

I was really looking at the content of

5:24

the videos. And a lot of it showed

5:26

unexploded munitions, um, eventually the

5:29

aftermath of chemical weapon attacks.

5:31

And I systematically tracked all the

5:33

videos coming out of Syria because they

5:36

basically used YouTube as their main

5:37

distribution platform.

5:39

Um, and those channels are usually run

5:41

by like media centers or armed groups.

5:44

So, you could actually have a catalog of

5:46

all these channels and check them every

5:47

single day. And no one else had figured

5:50

out you could do that. So, every day I

5:51

would just go through hundreds of videos

5:53

from Syria looking for stuff that was

5:55

new or unusual, really focusing on IDing

5:58

weapons in particular.

5:59

>> Then you started Bellingcat and that the

6:01

Malaysian airline was shot down.

6:03

Just how how did that case develop?

6:06

>> So, um I was blogging um on a really

6:09

awful looking blogspot website. I

6:12

thought I needed more professional

6:13

website and a better name. So, I

6:15

launched Bellingcat in July 2014 and 3

6:18

days later MH17 was shot down. So, you

6:20

have this kind of real mass movement on

6:22

social media of people digging through

6:24

stuff trying to figure things out. And

6:26

Bellingcat kind of been became the kind

6:28

of center point of a lot of that. So, I

6:30

was publishing articles and then slowly

6:32

building up a small team of kind of

6:34

volunteer researchers who every day were

6:36

digging through every bit of information

6:38

about MH17 and searching for stuff. And

6:41

that led us to finding all kinds of

6:42

stuff that no one else

6:44

anywhere had found like the origin of

6:46

the missile launcher, where it had

6:47

launched from, and other details like

6:49

that.

6:50

>> So, in the book they go into the story

6:51

in great detail and you're going to see

6:52

how that how that building that case.

6:54

Now, the Russian Ministry of Defense

6:56

weren't particularly pleased with you.

6:58

>> Yeah, so we've had kind of an escalating

7:00

campaign against us coming from Russia,

7:02

really starting in 2015 with places like

7:04

Russia Today and Sputnik News writing

7:06

critical articles of us.

7:09

That led to them trying to hack our

7:11

emails, our website. Most recently

7:14

there's been six Bulgarians who were

7:16

jailed because they were spying on one

7:17

of my colleagues for 2 years. And that

7:19

was linked to the Russian FSB. So,

7:22

there's really been an escalation of the

7:24

years of how they've responded to our

7:25

work.

7:26

>> Now, we continued poisoning in the UK.

7:29

What was that?

7:30

>> Yeah, so um when the Skripal poisoning

7:32

happened, we we couldn't really do much

7:35

kind of in the initial moment. But when

7:37

the identities of the poisoners was were

7:39

released, they uh there was a Russian

7:42

news site that got the flight manifest

7:44

of the flight and their passport numbers

7:45

were just a few digits apart, which is

7:47

very suspicious. So, one of my former

7:49

colleagues, Christo Grozev, he he's very

7:52

good at using the kind of um what you

7:54

call the kind of

7:55

gray market of data in Russia. In

7:57

Russia, basically all government data is

7:59

for sale if you know the right people to

8:01

speak to.

8:01

>> Yeah.

8:02

>> So, we got their passport registration.

8:03

>> only in Russia or is that everywhere?

8:05

>> It's mainly in Russia in our experience.

8:07

There might be other places, but

8:08

Russia's particularly bad for that cuz

8:10

you know, the snake rots from the head.

8:11

You know, it it's everyone's corrupt.

8:14

So, we were buying things like the

8:16

registration forms of passports and

8:18

discovering they had the Russian MOD's

8:21

phone number stamped on these guys'

8:22

passport forms and using government

8:25

databases of house registrations and car

8:27

registrations to kind of unpick their

8:29

identity. And eventually, that allowed

8:31

us to find the real identity of these

8:33

suspects. And so, what happened?

8:35

So, um

8:37

Well, part of it is we were the first

8:38

people to show that these two guys who

8:41

had just been on Russia Today saying

8:42

they were tourists visiting Salisbury

8:44

Cathedral and you know, talking about

8:46

the 123 m spire. As they were on TV, we

8:50

were getting the data ring showing that

8:51

they were Russian spies and we were able

8:53

to publish straight away. And that had a

8:55

huge impact. We had like nearly every UK

8:57

newspaper had our work on their front

8:59

page the following day.

9:01

Um and that really kind of

9:03

led us then to the poisoning of Alexi

9:05

Navalny as well because we discovered

9:07

the network of chemical weapon

9:09

scientists who were producing these

9:11

chemical weapons, where they worked, and

9:13

we were able to buy their phone records

9:15

from people in Russia and hit see them

9:17

phoning up FSB agents just before

9:19

they're going to poison him. So, we

9:22

could track the FSB agents as well cuz

9:23

the phone records aren't just who you've

9:25

called, it's every single cell phone

9:27

tower you connect to, which can then be

9:29

mapped out. You can actually follow

9:30

people as they're moving around Europe

9:33

and Russia, you know, minute by minute.

9:35

And that's what we did with their data

9:37

cuz Russia's so hideously corrupt in

9:40

that way. And then he called them up.

9:42

Yeah, he called them up. So, um

9:44

we we had this um filmmaker with us who

9:46

was just filming interesting things uh

9:48

we were doing. And uh we thought

9:51

wouldn't it be fun to call these people

9:52

up now we've got their phone numbers.

9:54

And [laughter]

9:56

we thought it would be like

9:58

over in 10 minutes. They'd all hang up

10:00

or you know swear at us or something.

10:02

And that happened for the first three or

10:03

four calls. But then And then Navalny

10:05

was the guy calling them up. So, then we

10:07

tried we um spoofed the phone number of

10:10

the FSB, called one of the guys up, and

10:13

Navalny pretended to be uh kind of a an

10:16

officer assessing the assassination

10:18

attempt.

10:19

It's worth tracking down the video and

10:21

watching the whole thing. It's in the

10:22

documentary we did, but the full video

10:24

is an hour long. And he um got the guy

10:27

to give him a blow-by-blow account of

10:29

exactly how the poison had done. They'd

10:31

basically got to his hotel room. You put

10:35

poison on the seam of his underpants.

10:37

And then when he put them on and went to

10:39

the airport, it activated and uh started

10:42

to nearly kill him. But he just gave us

10:44

a blow-by-blow description then how he

10:47

when they recovered Navalny and he was

10:49

injured, they got his clothes and then

10:50

cleaned his kind of underpants really

10:52

carefully to get rid of the um poison

10:54

they'd used in the assassination. And we

10:56

recorded the whole thing and then that

10:58

became our documentary. But we'd

11:00

actually um Putin on the Friday after we

11:03

did that phone call that just given a

11:05

big speech about, you know, I've nothing

11:06

to do with this. Navalny, you know, this

11:08

is all untrue. And then on the Monday we

11:10

were able to reveal this hour-long video

11:13

of one of his spies explaining exactly

11:15

how he did the poisoning.

11:16

>> Do you check your underpants every day?

11:18

>> [laughter]

11:18

>> It's I mean I would advise everyone does

11:20

that every day.

11:22

>> I mean you're a you're a high-value

11:24

target, right?

11:24

>> Well, I mean it's it's something we have

11:26

to take seriously. So, it's like at the

11:28

moment I have West Midlands or East

11:29

Midlands counter-terrorism police uh

11:31

paying me the occasional visit to let me

11:33

know what's going on in their world,

11:35

which is always a bit disconcerting. Um

11:38

you do have to be kind of a lot more

11:39

security-aware, and aware of when

11:42

something weird happens is you kind of

11:44

think about is that just general

11:46

weirdness, or is that a weirdness that's

11:47

particularly focused on on me? It's like

11:49

we had one guy after a big event we did

11:52

in the Netherlands, a couple of the team

11:54

were walking around, and this guy was

11:57

following them around taking photos of

11:59

them. So, they managed to snap a photo

12:01

of him, thinking this guy's dodgy, maybe

12:04

a spy. And they they spent weeks trying

12:06

to figure out who this guy was. He was

12:07

just a fan. He was just too shy to come

12:09

up and say hello, so he was just taking

12:11

photos from a distance, which is, yeah.

12:13

We we contacted him and said, "Hey, by

12:15

the way, please probably best not to do

12:17

that in the future."

12:18

>> Yeah, well, the the the people taking

12:19

photos today are fans, too, so

12:21

Um now, um

12:24

we put I think we probably put in a

12:26

jingle here because we're suddenly

12:27

changing topics. The difference between

12:29

now and 2012 in terms of what's

12:31

available online in terms of material,

12:34

what um what's the magnitude of change?

12:37

>> Well, I I think one real change is the

12:39

access we now have to satellite imagery.

12:42

So, back in 2012, you were very reliant

12:44

on things like Google Earth and Google

12:45

Maps. Um now, for a monthly fee, we use

12:49

Planet Labs, where we can only get daily

12:52

imagery of of various sites, but we can

12:54

actually task satellites to specific

12:56

locations. So, sort of a James Bond, but

12:58

if there's this area we're interested

12:59

in, we can put in a tasking request and

13:02

get satellite imagery of that in the

13:03

next few days. Which, for our kind of

13:05

work, when you're trying to verify stuff

13:07

as quickly as possible, is incredibly

13:09

useful.

13:10

Each kind of conflict or situation has a

13:13

kind of different a kind of um

13:15

uh characteristics around how social

13:17

media is used. So, with Syria, you know,

13:19

Twitter, Facebook, and YouTube were

13:22

where most stuff was being posted. With

13:24

the conflict in Ukraine, especially

13:25

since 2022, Telegram was the kind of big

13:28

website. It constantly changes. If

13:30

you're looking into criminal activity,

13:32

you might find a lot on TikTok, for

13:33

example. There's lots of people who do

13:35

crimes and post them on TikTok, and then

13:38

um do that for months and months and

13:39

months until someone like us comes

13:41

across it and unpicks the whole thing.

13:43

So, um yeah, it's more

13:46

you constantly have to learn, you have

13:47

to see how different situations evolve,

13:50

how technology is being used, and look

13:52

for opportunities. And you know, there

13:54

are like with Iran, the internet was

13:56

shut down there for a very long time in

13:58

the early parts of the current conflict.

14:00

Um and that meant we had to use other

14:02

techniques to analyze satellite data,

14:04

for example, cuz there was no satellite

14:05

data, either. So, we used a system that

14:08

uses um infrareds

14:10

um satellite imagery and compares the

14:12

differences to them using a

14:14

very complex program I can't possibly

14:16

explain. But um that allows us to see a

14:18

kind of heat map of where damage is

14:20

occurring across Iran and elsewhere in

14:23

the Middle East at a time when there was

14:24

no visual satellite imagery of that kind

14:26

of stuff.

14:27

>> Supposedly, Israel hacked into normal

14:30

civilian's camera all over Iran, right?

14:32

To check out where the

14:34

the leaders were. Do you hack into

14:36

systems like that, too?

14:37

>> No, and we we try to avoid crimes

14:39

whenever possible. But [laughter]

14:41

>> What what does that mean, try to avoid?

14:42

>> Well, well, it's For example, the um

14:45

sometimes I mean, pretty much everything

14:47

we do is a criminal offense in Russia at

14:49

the moment, mainly cuz we did it and

14:50

then they made it a criminal offense to

14:52

do it. So, for example, the um

14:55

Russian soldiers used to post loads of

14:56

social on social media about where they

14:58

were, what they were up to, their

14:59

friends. And we used that to reconstruct

15:01

exactly where they were on the MH17. But

15:04

then the Russian um government passed a

15:06

law to ban soldiers from doing that ever

15:09

again, partly cuz of what we were doing

15:10

in terms of that. But it's also like the

15:12

stuff we're doing with the um Navalny

15:15

and Skripal investigations. We wouldn't

15:17

buy data anymore, because that's become

15:19

that's kind of of area we felt even when

15:21

we were doing it, but it's kind of a

15:23

choice of, you know, we we knew how the

15:25

data was and if we ignored it then

15:27

people were literally being killed with

15:29

chemical weapons and we found that there

15:30

were multiple people who were killed

15:31

like that that hadn't even really made

15:33

it to the media. So, there was that kind

15:35

of

15:36

complex ethical conversation we had

15:38

around that.

15:38

>> What's the weirdest source of data

15:40

you've used ever?

15:42

>> Um

15:44

This wasn't one of our investigations,

15:46

but it always I think it definitely

15:47

ticks the weird box. So, a a

15:49

couple years ago there was a Instagram

15:52

post that was being shared on social

15:53

media. It had been copied and pasted and

15:56

it was supposedly from Alexandria

15:58

Ocasio-Cortez's

16:00

social media account and it showed a

16:03

pair of women's legs in the bath. It's

16:06

like a saucy photo. Now, very quickly

16:09

the WikiFeet community, which is the

16:11

foot fetish community, who rates

16:13

people's feet, immediately said, "That's

16:16

not her feet. We know what her feet look

16:17

like. It's actually this person's feet."

16:20

And they found the original photograph

16:22

of it. So, but you know, in all of this

16:24

work, I mean, if you go back to

16:27

um

16:27

you know, the rendition flights that

16:29

were happening in the early 2000s, it

16:31

was plane spotters who found that

16:32

network. So, people with really really

16:35

specific interests and hobbies can

16:37

actually be a really useful source of

16:39

information. You just have to kind of

16:41

know what kind of people out there and

16:43

how to interact with them safely, I

16:45

guess.

16:46

>> So, nerds nerds are good.

16:48

>> Nerds and perverts, yes.

16:49

>> [laughter]

16:51

>> We have the old nerd, too. We love them.

16:55

>> [laughter]

16:56

>> What's the most shocking piece of

16:58

disinformation that you've seen ever?

17:01

>> Oh god, I mean, it's so so constant.

17:04

It's like there's an ongoing campaign

17:06

from Russia at the moment. It's called

17:08

various things. One of them is the

17:09

Russian doll campaign cuz what they've

17:10

been doing is making fake videos of news

17:13

sites, including myself.

17:16

And they made a 3D animated kind of

17:18

PlayStation 2 era graphics

17:20

avatar of me to do some of the videos.

17:24

Uh, another thing they did in that

17:25

campaign. So, a typical video would be

17:27

like, you know, the Armenian president

17:28

is a drug addict. Not that anyone would

17:30

even bother interacting with that post,

17:32

but they just churned dozens of these

17:34

out every single week. And they sent

17:36

email them to us directly, so we engage

17:38

with them, which we don't. But, they

17:40

included jigsaw pieces in some of these

17:42

posts. So, it'd be the fake news video

17:45

and a jigsaw piece.

17:46

And, um, they were all numbered.

17:49

So, I started piecing them together over

17:51

a period of weeks and weeks. And what it

17:53

was, it was a jigsaw puzzle of my face

17:58

on a pile of poo with, um, "Belling

18:01

at Elliot Higgins" as the logo. Sorry my

18:05

language, but they'd included this in

18:08

their disinformation as a kind of weird

18:10

personalized message to me. But, things

18:12

I like doing jigsaws, so for me this is

18:14

just fun. And then I had like something

18:16

I could kind of post on social media as

18:18

well. So, it was like, "This is just

18:19

keep doing it." They actually started a

18:21

third jigsaw puzzle. There were two, and

18:22

they did a third one. And I think I had

18:24

posted so much about the second one they

18:26

did, they actually got told to stop

18:27

doing it, which I was very disappointed

18:29

about cuz it looked good.

18:31

>> What are we up against in terms of

18:32

number of people? What are What kind of

18:33

the resources, let's say,

18:36

uh, in Russia to

18:38

conduct those kind of campaigns? What

18:39

are we What are we What are we What are

18:40

we up against here?

18:41

>> Well, I mean, it's kind of a what we're

18:42

looking at is a kind of development of

18:44

the Internet Research Agency, which

18:45

really kind of dominated the kind of

18:46

2016 scene. Um, that was linked to

18:49

people who had now been killed by the

18:51

Russian government. So, now it's being

18:52

run by another oligarch. But, they're

18:54

they're dealing with hundreds of people

18:55

who are doing this. The The thing with

18:57

disinformation, though, we tend to treat

18:59

it as a kind of foreign actor issue, but

19:01

a lot of disinformation and

19:03

misinformation comes from online

19:04

communities who generally believe

19:06

they're creating good, useful

19:07

information, but also have kind of

19:10

grifters in that community and sometimes

19:12

Russian or you know, foreign

19:13

interference that's kind of amplifying

19:15

those communities. But for

19:17

disinformation to work, you need people

19:19

who want to engage with it. And this is

19:21

why a lot of this recent Russian

19:22

disinformation doesn't work. They did a

19:23

huge campaign around Armenia, hundreds

19:26

of videos, fakes, all sorts. It got no

19:29

engagement because not really that many

19:31

people who speak English on social media

19:34

really care about what's happening in

19:36

Armenian politics. So it got no genuine

19:38

uplift.

19:39

>> When you start these uh investigations,

19:40

how do you make sure do you have like a

19:42

hypothesis and you test it, or how do

19:44

you how do you work? How do you make

19:45

sure that you aren't biased in your

19:48

research?

19:48

>> Yeah, I mean, it depends on the starting

19:50

point and the scale of something. So,

19:53

um with the Alex Wrecker and Manny Good

19:55

Shootings in Minnesota, there straight

19:57

away you had videos that were being

19:59

shared and dissected on social media.

20:01

So, in that case, what we were trying to

20:03

do is get information out quickly that

20:05

looked at certain key claims, which we

20:07

could say yes, this is true or not. So,

20:10

Alex Wrecker was disarmed and then shot,

20:12

and that became a point of contention,

20:14

but we released a

20:15

video that kind of synchronized multiple

20:17

videos to show the moment he was

20:19

disarmed and then shot in one complete

20:22

sequence rather than the fragments that

20:23

were out there. So, that's when you kind

20:25

of have to respond quickly because there

20:27

is a discourse, and you know, the

20:28

government's going to lie about it, too.

20:30

But in other cases, it could be a lot

20:32

more, you know, gather a huge amount of

20:34

information, start looking at what

20:36

patterns it's showing you, um try to

20:39

verify as much of that information as

20:40

possible. So, uh we're looking at kind

20:43

of Israelis um air

20:46

air strikes in Lebanon very, very

20:47

recently, and that was a huge data set

20:49

we were looking at rather than kind of

20:51

individual videos and focusing on just

20:53

one particular incident. So, there's

20:55

just it's a matter of scale and you

20:57

know, what question we're trying to

20:58

answer.

20:59

>> You mentioned the importance of speed in

21:01

the Minnesota case. Just why is speed so

21:03

important? Why is it so important to to

21:05

the truth out before

21:07

uh

21:08

false perceptions have uh kind of

21:11

established themselves.

21:12

>> Cuz generally once people feel they know

21:14

the truth about a subject,

21:16

they'll not change their mind about it.

21:18

And in those moments when there's, you

21:19

know, just a few hours where there's a

21:21

really uh vigorous discourse online, and

21:24

you know that it's going to be a

21:26

government that's going to come out with

21:27

a version of events that's probably not

21:29

going to match reality, trying to get as

21:31

much information into that discourse is

21:32

important because

21:35

people take those kind of objects you

21:36

create and then spread them across

21:38

multiple websites where all this

21:39

discourse is occurring. So, you don't

21:42

have to distribute it just as as like a

21:44

single node. You're kind of can rely on

21:47

other people to pick that up and take it

21:48

elsewhere. When it's something that's uh

21:50

kind of longer-term, kind of deeper

21:52

investigation, you don't have that kind

21:54

of engagement happening. So, you have to

21:57

really approach that in a different way,

21:58

both in how you investigate it, but also

22:00

then how you distribute that

22:01

information. How do you reach the

22:03

audiences you want to see it?

22:04

>> So, how fast do you need to be now?

22:05

Let's say there is a shooting, which is

22:07

bad.

22:08

Where How fast How quickly do you need

22:10

to be out there with a narrative?

22:12

>> Well, I mean, I I I

22:14

think you've got

22:15

at best two or three hours in many

22:17

cases, if it's something like those um

22:18

shootings in Minnesota.

22:21

Um something that took a little bit

22:22

longer, but was still kind of influenced

22:24

the discourse, which if we look at the

22:25

um Iranian um school bombing where the

22:28

girls were killed, um we found a video

22:30

of Tomahawk missiles hit striking close

22:33

to that building, but not on it. But we

22:34

got that information out there um

22:37

probably within about 48 hours of the

22:40

air strikes happening. And then Donald

22:42

Trump was being asked about, you know,

22:43

why is there a video of Tomahawk

22:44

missiles? By journalists who had seen

22:47

our work, know where reliable, and then

22:49

could actually ask that question knowing

22:51

that, you know, that is a fact, not just

22:53

something that they've kind of read on

22:54

the internet and rumored. And then

22:56

Donald Trump responded by saying, "Well,

22:58

the Iranians have Tomahawk missiles as

22:59

well." Which is completely ridiculous,

23:01

but he was forced into that position

23:03

because we could present verifiable

23:05

evidence.

23:06

How much more are governments lying now

23:08

compared to

23:10

10 years ago?

23:12

I mean, it depends on the government, I

23:13

think, more than

23:14

>> didn't want to be I didn't want to be

23:15

specific.

23:16

>> Certain governments that are kind of to

23:18

the west of this country, they

23:20

are lying The thing is

23:23

it's kind of a it's authoritarian

23:24

capture ultimately, because then it

23:25

becomes about loyalty tests. It doesn't

23:27

come about the truth, it becomes about

23:29

how you demonstrate your loyalty to the

23:31

the in-group, and then how you can

23:33

define the out-group by their refusal to

23:36

tow the line. So, this is really what

23:38

we're saying seeing in the US is

23:39

authoritarian capture of various

23:42

institutions, the presidency,

23:44

the kind of bending of the knee of

23:45

various organizations, where the truth

23:47

is no longer important. It's all about

23:49

those loyalty tests.

23:51

>> How do you think this will develop?

23:52

>> Uh so, a lot of my work at the moment

23:54

looks at issues around disinformation

23:56

and democratic theory and kind of where

23:58

we've got how we've got to where we are

24:00

at the moment.

24:01

I think the the the one thing that

24:03

really worries me about that work, and

24:04

I've spent a long time doing this, is

24:06

that the way we've kind of set up our

24:09

society and information system now has

24:11

changed completely. We've gone from this

24:14

information system that was top-down,

24:16

elite-controlled,

24:18

uh and also normalized because of that.

24:20

We had institutions, the media, who, you

24:23

know, they kind of controlled the flow

24:24

of information to the public to a large

24:26

extent. And the public were recipients

24:28

of information. And in that

24:30

relationship, the public had to trust

24:32

those institutions to produce verifiable

24:34

information that they could be

24:36

deliberated on it procedurally through

24:38

courts, through parliaments, and then

24:40

people would be held to account for

24:41

wrongdoing. And that was the public the

24:43

kind of social contract we had with

24:45

those institutions. That's now collapsed

24:48

into a peer-to-peer, many-to-many

24:50

information system, where institutions

24:52

are competing for attention with the

24:54

public in systems that rewards

24:57

engagement over the truth. And those

25:00

platforms like X, for example, that

25:02

monetize their social media process,

25:05

rewards basically engagement more than

25:07

anything. So, what that leads to is a

25:09

system where populist, authoritarian,

25:12

and conspiratorial ideas perform really

25:14

well because they don't need the

25:16

procedural certainty behind it. You just

25:18

say this is true, and people nod their

25:20

head because they're prepared to believe

25:22

that in a way.

25:23

>> And the whole clickbait

25:24

>> Yeah, yeah, it's just all about, you

25:26

know, what engages people rather than

25:28

what's truthful. And we see this often

25:30

around conflicts where there's a lot of

25:32

public engagement. You know, the

25:33

situation in Gaza produced a lot of fake

25:37

information because people just wanted

25:39

to get the clicks and monetize the

25:41

engagement that they were get getting on

25:42

platforms like X.

25:44

>> One of the bigger questions on on

25:46

democracy, [clears throat]

25:47

I mean, you talk about verification,

25:49

deliberation, accountability. Could you

25:50

just explain briefly the concept?

25:52

>> Yeah, so you can understand democracy as

25:55

having three core functions when it

25:57

works well. That's verification, how do

25:59

we know what's true? Deliberation, how

26:01

do we decide to what we do on that? And

26:03

then accountability is how we hold

26:05

powerful the powerful to account. And

26:07

when that functions, it restrains power.

26:09

But what we tend to see more in our

26:11

democracies is a kind of performative

26:13

version of that where

26:15

it's not really about holding the

26:16

powerful to account or real

26:18

verification, it's about getting

26:19

elected. It's about building a coalition

26:21

of voters who'll be enough to get you

26:23

in. But that then slides into a form of

26:26

simulated democracy which becomes

26:28

disordered where verification is now

26:31

about a predecided set of truths. And if

26:34

you go outside of that, you become

26:35

attacked by the in-group. Deliberation

26:38

is also about really identifying who's

26:40

loyal rather than identifying what to do

26:43

on this information. And accountability

26:45

is always targeted outwards from the

26:47

in-group. And you can look over to the

26:49

US and see that happening very, very

26:50

clearly every single day.

26:52

>> And so what can democracies do

26:54

to counteract this? Well, unfortunately

26:55

it's a big issue and it requires a lot

26:57

of

26:58

involvement with lots of different

27:00

sectors. I I speak to policy makers,

27:03

government, people working in civil

27:05

society about these issues and there's a

27:06

recognition there's a huge problem.

27:08

>> Yeah.

27:08

>> The problem we've got is really since

27:10

2016 has been defined as an issue of

27:13

foreign interference, of disinformation.

27:16

And that if somehow we can get rid of

27:17

that issue that false information,

27:20

society will fix itself and democracy

27:22

will flourish again.

27:23

Problem is that's complete nonsense.

27:26

It treats disinformation and the

27:28

problems it causes as a kind of supply

27:30

side issue. That if only we get rid of

27:32

the supply then all these problems will

27:34

fix itself. But really that's driven

27:36

when people feel a sense of betrayal, of

27:39

distrust in those institutions and they

27:41

look for alternative sources

27:43

in these online spaces where engagement

27:46

is rewarded over accuracy. So even

27:48

though they might be trying to seek this

27:49

truth, they're going into environments

27:52

which are not designed for truth

27:53

seeking. They're designed for

27:54

engagement. So people get drawn towards

27:57

more conspiratorial ways of thinking and

27:59

again authoritarianism, populism and

28:01

conspiracy theories perform extremely

28:03

well and slow procedural verification

28:07

through institutions, the media, through

28:09

Bellingcat doesn't perform as well in

28:11

those environments.

28:12

>> Do you think any of this is important

28:13

for us as a long-term investor?

28:15

>> Well, I think

28:17

when reality becomes contest, I mean

28:20

Does anyone work on anything to do with

28:21

Iran at the moment and do you know what

28:23

the hell's going on? Cuz day-to-day the

28:25

story of what's happening changes. So So

28:27

without that reliability without being

28:30

able to rely on what could be truthful

28:32

and what's not, then it's very hard to

28:34

make any real, you know, tactical

28:35

strategic decisions about things. And

28:38

this is where open source investigation

28:39

is so valuable. I mean we train people

28:41

in all kinds of different sectors. I

28:43

mean we've trained investment firms,

28:44

journalists, you know, all kinds of

28:46

people to do this kind of work.

28:48

>> But if you take if you take the Iran

28:49

conflict as an example, how much

28:51

information flow is there now from each

28:53

side? I mean, how would you think they

28:55

compare?

28:56

>> Um

28:57

>> [sighs]

28:58

>> information I mean

29:00

>> Cuz we got so little information

29:02

>> is also information. It's just very poor

29:04

quality information that you can't

29:05

trust. So, you then have to use other

29:07

ways of figuring out what's going on.

29:09

And this is why a balance account we've

29:11

been looking at Iran, there is a limit

29:12

on satellite imagery and social media

29:15

information that has been useful in the

29:16

past, but there are other ways to look

29:18

at what's going on there.

29:19

>> How is AI changing all of this?

29:21

>> Um

29:23

I think AI gives people a permission

29:25

structure to deny reality. So, if they

29:27

see a picture they don't like or a

29:28

video, they can just say, "Well, that's

29:29

AI." And that's the kind of end of their

29:32

engagement with that particular object.

29:35

Um it also allows people to kind of make

29:37

cases for stuff that's not really true.

29:38

It's kind of

29:40

you see so often people will engage with

29:42

an AI image, they know it's AI, but it

29:45

supports something that they think is

29:47

true. So, it's this kind of truthiness

29:49

of the imagery comes across rather than

29:51

it being factual. Um

29:54

I mean, one example of that is there was

29:55

a far-right UK rapper who was entirely

29:59

AI-generated. The music, the face,

30:00

everything was fake, but lots of people

30:03

engaged with it because it was content

30:04

that they, you know, wanted to see and

30:07

that they thought other people should

30:08

see as well.

30:09

Um in terms of actual open-source

30:11

investigation,

30:13

I haven't really um seen AI really add

30:16

much to our actual

30:18

you know, processes so far. You can do

30:21

stuff like vibe coding sometimes to like

30:23

scrape a website that's being awkward,

30:24

but there's nothing that's really like

30:26

completely changing the game around

30:28

open-source investigation.

30:29

>> think that's a bit surprising.

30:31

Do you think it will happen when you get

30:32

more kind of agents in place?

30:34

>> It it might do. I mean, I use AI a lot

30:38

for various experiments and stuff like

30:39

that. So, you know, just recently I I've

30:42

for years wanted to scrape um all the

30:45

Syria documents of the Organization for

30:47

the Prohibition of Chemical Weapons

30:49

website cuz that's my thing I'm into.

30:51

That's a nerd thing, don't worry about

30:52

it. But, it I just basically went to

30:55

Claude and said, "How should I do this?"

30:57

And it wrote me a Python script and

30:59

within 10 minutes it done a job that I'd

31:00

been putting off for 8 years. So, that

31:03

can be really, really useful for just

31:05

kind of experimenting and poking around.

31:07

We've tried to get AI's to do

31:09

geolocation

31:10

and they have um a mixed set of results,

31:13

I think it's fair to say, but they can

31:15

also provide context clues that you

31:17

might miss. Like, it might identify a

31:19

certain type of tree that's only going

31:21

to grow in a certain range of, you know,

31:23

hills in some country and then you're

31:24

like, "Okay, I know where to look now."

31:26

You of course got to double-check that's

31:28

actually true, but it can provide extra

31:30

clues.

31:30

>> And geolocation is a game you play with

31:32

your son.

31:33

I gather.

31:34

>> Yeah, so

31:35

>> Tell me about the game. I mean, how do

31:36

you play a geolocation game?

31:37

>> Well, I just like find some photo and,

31:39

you know, he'll kind of try and find it

31:40

on Google, not that like a walk run,

31:42

but, you know, it's just um it's a fun

31:45

thing to do. We're actually saying that

31:46

there's a like a game that's based off

31:48

geolocation that's being released soon

31:50

and we'll probably do a live stream of

31:51

that for our fundraising. So, it's kind

31:53

of weirdly like there's um this guy

31:55

called Rainbolt who does this thing

31:57

called GeoGuessr. So, GeoGuessr, it

31:59

gives you an image and then you click on

32:01

a map of where you think it could be in

32:02

the world. And he's like

32:05

like the world expert in it. He'll look

32:06

at a picture, immediately click, and

32:09

then be within like 100 m of where the

32:10

picture is taken. He can see all the

32:12

context clues immediately. But, yeah, he

32:15

often gets photos from people saying

32:16

like, "Here's a, you know, family

32:18

member, you know, where could he be?"

32:20

And they'll find it in like 5 minutes.

32:22

>> Cool.

32:22

>> Now, you've been spending a lot of your

32:23

life trying to find the truth, right?

32:25

Which is in a way what you do.

32:27

>> Mhm.

32:27

>> What's what's driving you here?

32:30

>> Well,

32:31

I mean, it was as I said when I started

32:33

it was arguing with people on the

32:34

internet, to be honest, but

32:36

um

32:36

over the years it became really clear

32:38

how important this information was in a

32:40

lot of different contexts that

32:43

you know, this like with MH17

32:45

immediately the Russian government were

32:47

lying and producing fake evidence, but

32:49

we could say that was fake evidence

32:50

because we could do open-source

32:51

investigations to examine it and verify

32:54

if it was true or not. It turned out it

32:55

wasn't true. It with Syria and chemical

32:58

weapons use, which I spent a lot of time

32:59

on, there's a huge amount of

33:01

disinformation and propaganda about that

33:03

coming from online communities and the

33:05

Russian government. Um and again, it's

33:08

there's always going to be things that

33:09

are contested, but usually when there's

33:12

got contestation happening, it's just

33:14

two people or two communities arguing

33:17

with each other about what they think

33:18

should be correct rather than doing

33:20

analysis. So we're trying to say build

33:21

communities around those values and

33:23

ideas that

33:25

you do the investigation, you verify

33:27

information, and then you have your

33:28

opinion. You don't have your opinion and

33:30

then fit the investigation around that

33:32

is often kind of what happens around

33:34

that discourse.

33:35

>> What are the personal costs to you as a

33:37

person?

33:38

>> I Well,

33:38

>> I mean, not monetary, but just as a

33:40

>> Well, I mean, this there is the security

33:42

aspects of it cuz um like there's

33:45

certain places I won't travel to at the

33:46

moment. Obviously, Russia's off the

33:47

table forever.

33:49

But like I can't travel to the US at the

33:51

moment because um this is conspiracy

33:54

theory called the censorship industrial

33:55

complex, which presents the idea that

33:58

the Biden administration and academics

34:01

and journalists basically colluded to

34:03

you know, do various things. And um

34:06

Bellingcat kind of got tied up in that

34:08

just weird kind of

34:10

got had nothing to do with it, but

34:12

people don't like Bellingcat certain

34:13

communities, so we got kind of named

34:15

with everyone else. And there's people

34:17

in the State Department who've been

34:18

looking at communications between

34:20

myself, Bellingcat, and the State

34:22

Department to prove their case, but they

34:24

don't exist. So that just makes them

34:26

think there's a big cover-up around this

34:28

stuff now. Um Elon Musk

34:30

>> So you have to I'm sorry, Elon Musk

34:31

>> Yeah, so Elon Musk called us a psyop. So

34:34

um we know this yeah, the US

34:36

administration is definitely knows who

34:38

we are and we've been very critical of

34:40

them, published embarrassing

34:42

investigations, and I don't want to take

34:44

the risk of, you know, turning up at an

34:47

airport in America and then being off to

34:48

a nice detention center for some reason.

34:50

So you basically have to stay in

34:51

Leicester.

34:52

Yeah, well, I can travel a bit outside

34:54

of it if I'm lucky, but yeah.

34:55

>> [laughter]

34:57

>> How do you fund How does Bellingcat fund

34:59

you fund itself?

35:00

>> Yeah, so

35:01

um

35:02

when I started I crowdfunded using

35:04

Kickstarter, but then as we've grown,

35:07

um there's been foundational funders

35:09

like the Open Society Foundations, um

35:11

family foundations. We raise about 30%

35:14

of our income from workshops. We have

35:17

small donations, but um one of the

35:19

things that's happened recently that's

35:20

been a real shock to the whole kind of

35:22

sector has been um the US aid funding

35:24

cuts.

35:25

About 25 to 40% of the global funding

35:28

for the kind of, you know, investigative

35:31

journalism NGOs was lost overnight

35:33

because of those US aid funding cuts. So

35:35

even though Bellingcat didn't take any

35:37

of US aid funding money, it the whole

35:39

funding environment is a nightmare now.

35:41

So you have to kind of really rely now

35:44

on

35:45

kind of small donors, high net worth

35:47

individuals, um cuz the foundations are

35:50

now under a huge amount of pressure to

35:53

basically save a lot of organizations

35:54

that are going under. And especially in

35:56

the global south where a lot of that

35:59

funding had was coming from US aid, a

36:01

lot of these small media NGOs who are

36:03

doing really high quality investigative

36:05

journalism just shut down overnight

36:06

because of it.

36:07

>> So when you look at the world, are you

36:09

an optimist or pessimist?

36:10

>> Um

36:12

I I I would say I'm a cynical optimist.

36:14

It's the best way to think of it. I The

36:16

thing is in my work I've seen what you

36:18

can do. This

36:19

um

36:20

you know, getting not just what we do at

36:22

Bellingcat, but showing other people

36:24

these skills, be they

36:26

um you know, journalists in lots of

36:27

organizations we've trained. I mean,

36:28

we've probably trained several thousand

36:31

journalists and activists in open source

36:32

investigation. But also the online

36:35

communities that have seen our work and

36:37

learn how to do open source

36:38

investigation just by the way we kind of

36:40

include all the details in our articles

36:42

and case studies and then they find

36:44

stuff themselves that is really really

36:46

impactful and does actually make a

36:48

difference. That's something that gives

36:50

me hope. The difficult part is doing

36:52

that at scale. How do we get as many

36:54

people involved as possible, especially

36:57

now we live in this environment where,

36:59

you know, the attention is really the

37:01

name of the game, not the truth. And

37:03

that's really kind of poisoned the

37:05

information environment for a lot of

37:06

people.

37:07

>> And is that a temporary thing? Are we

37:08

just temporarily in a bad spot when it

37:10

comes to lies and truth and democracies

37:13

or

37:14

is this

37:15

just a step on, you know, is this going

37:17

to just going to continue and get worse?

37:18

>> I think the situation we're now in at

37:20

the moment fuels those kind of worst

37:22

aspects and is the default state unless

37:24

we actually take real action against it.

37:26

It's been interesting to look at Keir

37:28

Starmer's recent kind of the reporting

37:30

on what he's been saying about online

37:32

safety, you know, 16-year-olds being

37:34

banned from social media. I think there

37:37

needs to be more around education in

37:38

terms of building critical thinking

37:40

skills in young people. So, a lot of our

37:43

work at the moment is working with

37:44

things like Cambridge University Press

37:46

and Assessment, the National Institute

37:47

of Teaching about developing those

37:49

critical thinking skills and teacher

37:51

training material and for students. We

37:53

work with universities to build

37:55

investigative hubs and open source

37:57

training material so students can do

37:59

their own investigations and build their

38:01

own communities around that. So,

38:03

you have to proactively build this

38:05

stuff. A lot of people, you know, look

38:08

back at the kind of interwar period

38:10

where, you know, there's the rise of

38:12

fascism and they think that democracy

38:14

just kind of fixed itself and figured it

38:16

out and, you know, Nazi Germany was an

38:18

outlier. But that took real action to

38:21

build democratic systems to actually

38:23

make people feel they could trust those

38:26

institutions again after World War I.

38:28

And nowadays it's just kind of like,

38:30

well, you know, people figure it out for

38:31

themselves cuz democracy is the default

38:33

and that's really not the case.

38:35

>> So, last question, Elliot, if you

38:37

uh what would be your advice to young

38:38

people who would want to try to make

38:40

this a better place?

38:42

>> Well, that's a that's a very big

38:43

question. Um

38:45

I think they need to really consider

38:47

what they, you know, when they share

38:49

information, when they look at something

38:50

and they think maybe I should do that.

38:53

They need to think about what impact

38:54

that does have. It's it's like um I was

38:56

talking My daughter's 14 and a lot of

38:58

her friends use a lot of social media.

39:00

We really try and not to let her use

39:01

that much social media, but they'll

39:03

mimic trends they're seeing and some of

39:06

those trends are really about making

39:07

stuff up because it'll get engagement.

39:09

And it's kind of actually talking to

39:11

people about what impact that actually

39:13

has and that has a big impact on society

39:15

if everyone was just telling lies for

39:17

engagement. And that's, you know, just

39:18

the basics we need to start with. Yeah.

39:21

>> Right big great big thank you to you.

39:23

Thank you. Thanks for everything you're

39:24

doing.

39:25

And thank you.

39:27

>> [applause and music]

39:33

>> Yeah.

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