Feb 26, 2025 · 57m · big-technology
The Formula for Capturing Your Attention, Price of Fame, & Algorithms as Editors — With Chris Hayes
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MSNBC anchor Chris Hayes joins Alex Kantrowitz to examine how modern digital platforms exploit human attention, exploring the psychological toll of scaled fame, algorithmic incentives, political manipulation, and potential paths toward individual and regulatory reform.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Alex holds 30.8% of the talking time here. How this is scored →
Alex as informed peer 5.4 Guest teaching 4.3 Guest disagreement 2.6 Alex pushing back 4.2
speaking balance: gold is Alex, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 50:44 Hayes rejects single-issue political narrative with cross-national data
When Kantrowitz suggests Hayes is blaming attention dynamics instead of substantive campaign issues like inflation and migration, Hayes forcefully counters with broad macroeconomic data showing universal anti-incumbent electoral losses across global democracies.
Hardest push from Alex ▶ 52:27 Kantrowitz directly corners Hayes on his failed Musk predictionKantrowitz cites Hayes's own book passage stating Musk's purchase of Twitter would fade and demands to know how Hayes failed to see its immense effectiveness given Musk's position in the White House.
Biggest teaching moment ▶ 35:08 Hayes details linguistic absence of boredom and shock study disparitiesHayes educates Kantrowitz with academic research, citing Australian Aboriginal anthropology regarding lexical absence of boredom and referencing a UVA psychology study detailing a massive gender divide in solitary self-shock experiments.
Alex holds their own ▶ 45:45 Kantrowitz uses ad tech industry background to dismantle impression critiqueKantrowitz leverages his industry experience in ad tech to correct Hayes, explaining that the industry is driven by conversion rather than raw impressions and citing the multi-billion dollar impact of Apple's privacy changes and Amazon's ad growth.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Alex as informed peer | Guest teaching | Guest disagreement | Alex pushing back | Why |
|---|---|---|---|---|---|---|
| The Craft of Attention: Cable News Versus Digital Platforms | 5 | 3 | 2 | 3 | Kantrowitz playfully calls out the irony of a cable news host writing about attention exploitation. Hayes explains the rhetorical craft of holding attention across television and digital platforms, with Kantrowitz sharing his own parallel learnings as a video podcaster and CNBC contributor. | |
| The Monetization of Metrics: Substack Creators Versus Legacy Institutions | 6 | 4 | 1 | 2 | Hayes asks Kantrowitz how independent Substack writers handle granular audience metrics. Kantrowitz explains the balance between chasing data and pursuing genuine curiosity, while Hayes contrasts human editorial purpose with pure algorithmic optimization. | |
| Algorithmic Neutrality Debated: Purpose, Editorial Control, and Platform Objectives | 6 | 4 | 4 | 7 | Kantrowitz directly challenges Hayes's distinction between human media curation and platform algorithms, arguing algorithms iteratively test audience curiosity similarly. Hayes counters that machine learning models lack human worldview, while Kantrowitz notes human executives constantly tweak algorithm editorial policy. | |
| Scaled Social Attention and the Democratization of Fame | 4 | 6 | 3 | 4 | Kantrowitz asks how platform influence differs from traditional partisan media owners like Rupert Murdoch. Hayes breaks down the distinction across scale, constant ubiquity, and the psychological impact of scaling personalized social attention from strangers. | |
| Navigating Public Visibility and the Psychological Toll of Fame | 3 | 2 | 1 | 1 | The conversation shifts to a peer exchange on navigating public visibility. Hayes shares the surreal psychological experience of stranger recognition and loss of anonymity, with Kantrowitz sharing similar, smaller-scale broadcast encounters. | |
| Passive Lurkers, Social Hierarchy, and the Dominance of Short-Form Video | 7 | 4 | 4 | 7 | Kantrowitz cites 2015 sharing metrics to dispute Hayes's premise that the internet democratizes fame, pointing out that the vast majority of social media users are passive lurkers rather than posters. Hayes counters that comments, teen platforms like Snapchat, and elite psychological conditioning still drive the broader culture. | |
| The Appetite for Long-Form Media and Symptoms of Digital Burnout | 5 | 3 | 2 | 3 | Kantrowitz highlights the paradox of long-form podcast viewership thriving amidst fragmented attention spans. Hayes compares media consumption to diet, arguing that algorithmic feeds act like fast food and predicting a looming cultural backlash and platform burnout. | |
| Exercising Willpower: Human Agency and the Siren's Call | 6 | 4 | 3 | 6 | Kantrowitz presses Hayes on personal agency, noting that tech critique often treats users as passive victims when individuals can disable notifications or choose not to wear Apple Watches. Hayes references the Odyssey myth to explain the ongoing struggle between deliberate human willpower and haptic platform hooks. | |
| Solitude, the Burden of Boredom, and the Gender Divide in Sensation Seeking | 4 | 7 | 2 | 2 | Hayes educates Kantrowitz on the anthropology of boredom, citing studies of Australian Aboriginal languages that lack a native word for boredom and highlighting a UVA study on the significant gender divide in willingness to administer self-inflicted electric shocks rather than sit alone. | |
| The Creator Economy, Algorithmic Optimization, and Relentless Self-Promotion | 5 | 4 | 1 | 2 | Kantrowitz and Hayes discuss the transition from manufacturing goods to an attention-driven creator economy like OnlyFans and meme coins. Hayes expresses unease with figures like MrBeast reverse-engineering algorithms rather than creating organic art. | |
| The Realities and Illusions of Digital Ad Tech | 8 | 3 | 2 | 5 | Kantrowitz draws on his prior ad tech career to correct Hayes's focus on viewability, arguing the industry centers on downstream conversions. He brings up Apple's App Tracking Transparency impact on Meta and Amazon breaking the Google-Meta duopoly. | |
| Attention Dominance in Modern Politics: Trump, Musk, and Troll Politics | 5 | 6 | 5 | 6 | Kantrowitz pushes back on Hayes's thesis that troll politics drove Trump and Musk's success, suggesting it ignores fundamental issues like inflation and immigration. Hayes pushes back vigorously with comparative global election data showing uniform anti-incumbent penalties across OECD democracies. | |
| Musk's Twitter Acquisition: Political Leverage Versus Corporate Risk | 6 | 5 | 4 | 7 | Kantrowitz directly confronts Hayes with his book's prediction that Elon Musk's Twitter acquisition was an ineffective vanity play that would fade, pointing out Musk's immense White House influence. Hayes admits he underestimated the political leverage while arguing Musk faces steep downside brand risk. | |
| Regulatory Limits on Attention and Episode Conclusion | 5 | 5 | 3 | 4 | Kantrowitz questions Hayes's proposal for regulatory attention caps, comparing it to authoritarian Chinese video game limits. Hayes defends the concept using historical labor regulation precedent (Lochner) and content-independent legal doctrine from recent TikTok court rulings. |
Statements from this episode (25)
Hayes: Good Work Exists in Any Medium Despite Platform Incentives
“I think it's possible to do good work in any medium. Like, there are people who do great stuff on TikTok, great stuff on Instagram Reels. There are people posting on Blue Sky and X and Threads that I, like, learn from. There are amazing YouTube videos that I'v…”
Hayes: Audience attention and interest are forces outside a creator's control
“One of the things you learn is that attention and attentional flows and interest are these sort of forces that are outside your control. They kind of, like, move in and out like the wind, and then you try to do with them what you can.”
Skilled Broadcasters Like Rachel Maddow Draw Audiences to Obscure Topics
“The better you are, the more you can do obscure topics. I think now that I've done this for 12 years, I'm probably better at getting people's attention for things that they wouldn't otherwise pay attention to. I think Rachel Maddow is, like, amazing at doing t…”
New York Times Reporters Are Insulated From Direct Traffic Monetization
“A reporter at the New York Times is insulated from that. Like, they have a salary. Their livelihood doesn't go up or down. Like, there's a certain degree to which traffic is a coin of the realm institutionally, but they don't have, like, a direct monetary ince…”
Recommendation Algorithms Strip Media of Human Editorial Purpose
“The TikTok algorithm has no purpose other than that attentional purpose. And this is true even of, like, media companies, even NBC News or ABC News or Hollywood producers and directors. Like, they want big hits, yes, but they're also human beings that have, li…”
Hayes: X Serves Elon Musk's Political Project Rather Than Pure Attention
“X very clearly has an objective other than attention, which is the political project of its owner. You know what I mean? So like, there's a place where like, yes, that attention is being aggregated for a specific political process. Project. That political proj…”
Hayes: Musk's Media Play Mirrors Rupert Murdoch's Strategy
“I don't, in some ways I don't think what Musk is doing is that different than what Rupert Murdoch has done. Are both attentional plays, right?”
No Traditional Broadcast TV Network Has Ever Reached One Billion Viewers
“No one, no networks ever had a billion viewers. Like, you're just, you just have never operated at that scale before. Like, these platforms operate at a scale that no one's ever seen before.”
Hayes: Social Media Democratizes the Psychological Madness of Fame
“The reason fame makes people go crazy is because we're not conditioned properly to deal with social attention from strangers. What we have done is democratize the madness of fame for everyone. Now everyone can have an inflow of social attention from strangers …”
Hayes: TikTok's model outcompetes all media like casino slot machines
“And I basically think that the TikTok model, which is like short form video married to machine learning is the, like,
The way that slot machines outcompete everything on a casino floor, I just think that, like, outcompetes everything.”
Hayes: Algorithmically optimized media does not eliminate demand for long-form content
“Just because you have these sort of algorithmically optimized versions of our attention on one, in one channel, doesn't mean that all the other appetites go away.”
Most Social Media Platforms Except WhatsApp Face Declining Daily Active Users
“Most of the platforms are seeing declines in daily active users. WhatsApp is going up. Snapchat, eh, but, like, most of them are going down.”
Hayes: Users will reject TikTok and algorithmic feeds for new alternatives
“I think people are going to start to turn off from the algorithms, from TikTok. Like, we're leading towards a moment of rejection where people are going to want something different.”
Hayes: Attention mirrors hunger and digital media is in its 1970s junk-food era
“I always compare it to food a lot because I think attention and hunger function similarly. They're like, they're both biological inheritances, but also reflections of our deep identity as humans. And, you know, I think we're kind of in the, like, late seventie…”
Hayes: UVA study found two-thirds of men self-shocked over solitude
“There's a big gender divide in that experiment, there's a psychology experiment at the University of Virginia, where like, it's like one-third of women choose to shock themselves, and two-thirds of men.”
Hayes: Sports betting has a nine-to-one male gender skew
“Sports betting right now which we know is, you know, rocketing up in use, and also has an enormous, probably nine-to-one gender divide in who's using it.”
Digital Creators Now Reverse Engineer Algorithms Instead of Producing Original Art
“There's a little bit of the, this reversing, like, what will sell out there? What will get attention? And then you reverse engineer and make that content, as opposed to, I have this to say. I want to write this poem. I want to make this song, like, I want to m…”
Hayes: Ad Tech Remains Highly Opaque With Pervasive Audience Fraud
“So I think one of the interesting critiques of ad tech is that, like, it's still a lot more opaque than you would imagine. The answer to this question, like, are, like, there's a lot of indications that there's just a lot of chum and maybe fraud, fraud's a leg…”
Hayes: Trump dominates politics by capturing public attention at all costs
“Trump's core insight is that attention's the most valuable resource, and getting it at all costs is the best way to dominate politics, and he's set himself to doing that in a bunch of novel ways.”
Hayes: Public attention changed Elon Musk far more than Donald Trump
“I think Musk has been changed by it more than Trump has. I think, well, no, I just think he's been this way from an early time. For a long time. Whereas Musk, there's an interesting, over the trajectory of his career, it was very hard to, like, get Musk to tal…”
Hayes: Biden's age and inflation explain 85% of 2024 election outcome
“Biden was old and inflation was high. It gets you, like, 85% of the way there, the causal story, and I think if you look across basically every democracy holding elections in the post-COVID age of inflation, the penalty against incumbency was, like, high range…”
Hayes: Musk's Twitter takeover converted political power into financial gains via Trump
“What it did was it created a kind of political power That then created financial rewards on the backside, because once you get Donald Trump elected, all of a sudden everyone wants to be your buddy, and your stock price goes up.”
Hayes: Musk is about to face downside risks of political polarization
“Even though this has been very effective for him so far, he's about to learn a little bit more about the downside risk.”
Hayes: Regulating and capping screen time or attention consumption is not crazy
“I don't think that's a crazy idea. I mean, I don't want the Chinese model for a lot of things, but you know, there are some, certain things the Chinese are pretty good at. I think that we can, if we can regulate, you know, the argument I make in the book about…”