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Quantifying the Race War in America

Most people see hate filtered through the individual events that reach our daily lives or news feeds 鈥 a chance encounter, a video, a story from a friend. But hate rarely emerges at random. There are patterns, sources, and cultures that give rise to hateful trends. When our team at the podcast was approached with a trove of secret recordings from the Base鈥檚 vetting room for domestic terrorists in training, our goal was to understand the patterns in this data. You can hear the full story of our investigation by listening to our podcast series.

The Base is a terrorist organization that began in 2018 to advance a white supremacist agenda鈥 鈥媜f the collapse of America, an impending race war, and preparation for 鈥媣iolence. Each recording contains a vetting call where members of the Base talk to potential recruits over the messaging app Wire. We were faced with the task of analyzing a significant amount of data, 83 hours in total. In this post, we will describe how we applied statistical analysis, data visualization, and machine learning to understand the trends beneath the hate.

What causes people to become neo-Nazis?

To be clear, these vetting calls are not about conversion. The men who apply for membership are already believers.聽 For instance, the men on these secret recordings share an interest in president Trump. His name was brought up 69 times and was mentioned in 18% of all conversations. While they didn鈥檛 all agree with him, they all agreed he was serving their agenda. 鈥嬧淚t鈥檚 a kind of like we're climbing a ladder. We hit a rung and we hit another rung on a ladder. And so I think this next election will be just interesting. And depending if Trump wins and if the left, depending on how bad they freak out, how bad they riot and things like that. There's potential for some, you know, mass kind of lawlessness and things like that.鈥嬧 [Speaker 86]

The central theme of the Base鈥檚 neo-Nazi doctrine is whiteness, both as a race and as a culture. In the recordings, 鈥渨hite鈥 was mentioned more than 鈥淏lack,鈥 鈥淛ew,鈥 or any other racial/ethnic term combined. The most commonly mentioned phrases including 鈥渨hite鈥 were 鈥渨hite nationalism,鈥 鈥減ro-white,鈥 鈥渨hite people,鈥 and 鈥渨hite power.鈥 When discussing white people, recruits would frequently extol their perceived virtues of whiteness and bemoan the perceived decline of the white race. For example, these are verbatim excerpts of the transcripts:

  • Speaker 鈥淓cologist鈥: 鈥淲e wish to liberate ourselves, our fellow whites and animals."
  • Speaker 40: 鈥淚 don't think that white people and other groups can get along because white people are high trust and high honesty and the other group are not."
  • Speaker 39: 鈥淚f we don't do something soon, we're going to have white people are going to be just gone. And by the time, like the next generation or so, we won't be able to fix it. There won't be enough of us.鈥

To further understand the context in which recruits would describe race, we generated word-tree visualizations that show how often an anchor word, like 鈥渞ace鈥 (above) or 鈥渢argeted鈥 (below), is used in a sentence with words around it. We found that the term 鈥渞ace鈥 was most commonly mentioned in 鈥渞ace mixing,鈥 鈥渞ace war,鈥 and 鈥渢he white race.鈥 鈥淩ace mixing鈥 was condemned as an affront to white supremacy, while a 鈥渞ace war鈥 was a hope for the future. Base member 鈥淓rik鈥 described how 鈥渋f you look at the economy and this whole fiat currency, even if it doesn't collapse, it's just going to degenerate more and more until even the military starts to revolt. [...] Every empire falls, you know. So that's why I'd say just prepare for the fall.鈥

While these findings help explain the recruits鈥 ideology, they don鈥檛 fully explain how these people acquired their hate in the first place. To dig deeper, we wanted to compare the similarity between the recorded calls and other examples of hate speech. We used a machine learning model from the 鈥 that was trained on data from Twitter and Reddit to distinguish positive and hateful speech. What they found surprised us: The vast majority of recorded speech was not considered hateful, and in fact much of it was classified as positive. These are in-group conversations among people who have shared ideologies and goals. In positive speech, recruits frequently mentioned 鈥渟kills,鈥 鈥渒nowledge,鈥 鈥渇riends,鈥 and a 鈥渕ission鈥 as reasons to join the Base.

Rinaldo Nazzaro, the founder of the Base, was recorded as saying: 鈥淲hat we're doing [...] is trying to instill in those that kind of create a vanguard that has the skills and abilities and the camaraderie in the form of the network to see us through the hard times that we're in.鈥

Through these findings, we can see that people sought out the Base due to its ideology and its sense of brotherhood. As Speaker 10 put it, 鈥淚've always fit in with a more racist crowd.鈥澛

How do neo-Nazi groups find new recruits?

Today, a disturbing trend is the continuing influx of young men that adopt a white supremacist ideology. Of the recruits in the audio recordings, 88% of them are under 30. They told stories of being converted by racist friends, of becoming a racist after being intimidated by a non-white person, and of reading racist literature disseminated in dark corners of the internet. But statistically, how are recruits most likely to find the Base?

To answer this question, we looked at the number of times recruits mentioned different internet discussion platforms and compared how these mentions change across age groups.聽

The chart above shows each platform with a bar for each age group. For example, when recruits 18 and under talked about internet platforms, 45% of the time they mentioned iFunny, 22% of the time they mentioned Discord, and so on. From this data, we observed a few trends:

  • The under-18 recruits are significantly more likely to mention iFunny than any other age bracket.
  • The 19-22 (college age) recruits are most likely to mention Gab, followed by Twitter and Discord.
  • The 23-30 recruits are most likely to mention Twitter, followed by Discord and Telegram.
  • The 31-40 recruits discuss Facebook way more than any other age bracket.

These findings reflect two basic facts: First, white supremacists aren鈥檛 limited to a single platform 鈥 their reach extends to every kind of social media. Second, each age group is being targeted for recruitment on their favorite platform: iFunny for young people, Gab and Twitter for college kids, and Facebook for the older generation.

How dangerous are groups like the Base?

White supremacist groups like the Base train recruits with the goal of engaging in violent terrorism. Their words reflect their goals. The phrases 鈥渟hoot,鈥 鈥済un,鈥 or 鈥渇irearm鈥 appeared in two-thirds of the conversations, a total of 360 times.

  • Speaker 72: 鈥淣o, I'm talking about putting together neighborhoods with you know, effective training areas [...] just having each member in a sanctuary state for gun ownership like Wyoming, Montana, states of that nature.鈥
  • Speaker 78: 鈥淚've been shooting guns pretty much my whole life. So I'm pretty familiar with a lot of stuff that involves firearms.鈥
  • Speaker 50: 鈥淚 feel like that's gonna be like the most like the heaviest point that anybody could ever need in a future collapse is knowing how to use a gun, how to take it apart, how to clean it, how to keep it running, because that's, it's, you can't fight somebody really hand to hand when they have a gun.鈥

The Base鈥檚 long-term mission is to establish an organization of terrorist cells across the United States. The specific term 鈥渃ell鈥 appeared in half of the conversations, a total of 209 times. They speak frequently about the need to build a widespread network that鈥檚 resilient to discovery by authorities.

  • Rinaldo Nazzaro: 鈥淚 don't keep track of the number as far as individuals. To me, what's more important is the number of cells we have. That's where our purpose is, creating cells. But of course, you know, the numbers matter so much that they help to create those cells.鈥
  • Speaker 72: 鈥淵ou distract people [...] and then get their eyes somewhere else while you're able to move resources, while you're able to focus logistically on what you're going to do with your future of your group, how you're going to set up, you know, enclaves, how you're going to set up cells, you know, chapters per se. How you're going to organize and things like that. Small action, I believe is going to be what ruins, you know, the grapevine for them.鈥
  • Speaker 79: 鈥淎nd I had two friends from my high school at the time that I was able to kind of bring into the fold. And then we all go enlist in the military. So we all went our own separate way [...] it would make perfect sense that they don't have like our information now just because how compartmentalized it was. It was such a small cell.鈥

How are they avoiding detection?

A central theme we uncovered in the recordings is a deep paranoia: a fear of being listened to, investigated, and found out. The Base鈥檚 recruiters tried to keep the vetting calls strictly about legal activities like meeting up, training in legal use of firearms, and distributing racist propaganda. The specific phrase 鈥渘ot doing anything illegal鈥 came up in 30% of all conversations. Conversely, a word-tree diagram of the phrase 鈥渢argeted鈥 shows how the members felt they were targeted by many organizations: Antifa, the feds, the media, or just 鈥渢he system.鈥

Base members frequently talked about how they restricted their discussions to avoid incriminating speech.

Speaker 15 described their practice of 鈥渂ug out spots鈥: 鈥淎nything the system can touch into we keep it professional. [...] We have like these bug out spots where no like arms in the system can like interfere with what we're talking about, we just got to be like man to man discussing shit. And like during those times, we can go a lot more deeper into topics. But when it's on ... in chat rooms online on like iPhone or some shit like the Feds are already on their like, you can't, if you say something dumb, like they're going to check your shit, you know?鈥

In summary, by using machine learning and statistics to analyze the Base鈥檚 vetting calls, we were able to quantify certain aspects of hate. We revealed patterns of their behavior reflecting how neo-Nazis target men who are ideally younger, have military experience, have alliances with other hate groups, or own land. The implication is exponential growth of small violent cells across the nation and the spread of poisonous ideology delivering young men to terrorist organizations like the Base.

Lead photo by Unsplash/Warren Wong聽