Mar 20, 2023 · 40m · another-podcast

The right questions to ask about TikTok

Benedict Evans · 25m spoken Toni Cowan-Brown · 12m spoken
0:00 / 0:00

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Tech analysts Benedict Evans and Toni Cowan-Brown dissect the complex debates surrounding TikTok, evaluating its geopolitical and regulatory challenges, the architectural shift from social graphs to algorithmic entertainment, and the systemic impact of recommendation feeds on creator autonomy and public discourse.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The hosts hold 100% of the talking time here. How this is scored →

The hosts as informed peer 7.1 Guest teaching 2.0 Guest disagreement 1.1 The hosts pushing back 1.9
05100:0015:0030:001:01–5:21 · The hosts as informed peer 7/10 Framing the TikTok Debate Across Three Core Pillars Benedict deconstructs the common privacy panic surrounding TikTok on iOS by explaining operating system sandboxing and device permissions, pivoting the core issue instead toward algorithmic distribution control.5:22–8:33 · The hosts as informed peer 7/10 Algorithmic Influence, Narrative Suppression, and State Censorship The conversation examines how users and state censors adapt to filtering mechanisms. Benedict draws on historical media ownership rules, such as Murdoch's US citizenship requirement, to argue why algorithmic control is treated like broadcast ownership.8:33–14:12 · The hosts as informed peer 8/10 Regulating Foreign Software and the Precedent of Banning Apps Toni questions whether banning apps sets a dangerous precedent regarding free expression and mentions firsthand sourcing from Iran, while Benedict distinguishes scalable privacy rules from arbitrary one-off app bans across other Chinese apps like Shein and CapCut.14:13–16:27 · The hosts as informed peer 7/10 The Decentering of American Cultural Norms on the Global Web Benedict details global internet traffic statistics showing the decentering of US and European users, while Toni contextualizes the historical irony of European users having lived under American platform dominance for decades.16:28–19:20 · The hosts as informed peer 6/10 Demographic Blind Spots and TikTok's Emergence as Entertainment Benedict compares TikTok's perceived tech blind spot to Silicon Valley's historical dismissal of Pinterest due to demographic biases, which Toni validates with specific examples of traditional sports journalists ignoring youth-dominated spaces.19:20–24:20 · The hosts as informed peer 7/10 Social Graphs Versus Interest Graphs: Differentiating Platforms Benedict contrasts social friend graphs like Instagram with interest-driven discovery streams like YouTube and TikTok. Toni elaborates on user behavior shifts from passive checking to continuous entertainment consumption.24:21–30:34 · The hosts as informed peer 8/10 Algorithmic Discovery Versus Audience Ownership and Platform Lock-In Benedict analyzes audience acquisition trade-offs between owned distribution channels like newsletters and closed algorithmic networks, while Toni shares personal metrics demonstrating high reliance on the For You page over subscriber counts.30:34–37:20 · The hosts as informed peer 7/10 Context Collapse and Polarization in Algorithmic Recommendation Feeds Toni and Benedict discuss context collapse when short-form algorithmic content strips away author background, comparing TikTok's polarization dynamics to Twitter's historical character limits.1:01–5:21 · Guest teaching 1/10 Framing the TikTok Debate Across Three Core Pillars Benedict deconstructs the common privacy panic surrounding TikTok on iOS by explaining operating system sandboxing and device permissions, pivoting the core issue instead toward algorithmic distribution control.5:22–8:33 · Guest teaching 2/10 Algorithmic Influence, Narrative Suppression, and State Censorship The conversation examines how users and state censors adapt to filtering mechanisms. Benedict draws on historical media ownership rules, such as Murdoch's US citizenship requirement, to argue why algorithmic control is treated like broadcast ownership.8:33–14:12 · Guest teaching 2/10 Regulating Foreign Software and the Precedent of Banning Apps Toni questions whether banning apps sets a dangerous precedent regarding free expression and mentions firsthand sourcing from Iran, while Benedict distinguishes scalable privacy rules from arbitrary one-off app bans across other Chinese apps like Shein and CapCut.14:13–16:27 · Guest teaching 2/10 The Decentering of American Cultural Norms on the Global Web Benedict details global internet traffic statistics showing the decentering of US and European users, while Toni contextualizes the historical irony of European users having lived under American platform dominance for decades.16:28–19:20 · Guest teaching 3/10 Demographic Blind Spots and TikTok's Emergence as Entertainment Benedict compares TikTok's perceived tech blind spot to Silicon Valley's historical dismissal of Pinterest due to demographic biases, which Toni validates with specific examples of traditional sports journalists ignoring youth-dominated spaces.19:20–24:20 · Guest teaching 2/10 Social Graphs Versus Interest Graphs: Differentiating Platforms Benedict contrasts social friend graphs like Instagram with interest-driven discovery streams like YouTube and TikTok. Toni elaborates on user behavior shifts from passive checking to continuous entertainment consumption.24:21–30:34 · Guest teaching 2/10 Algorithmic Discovery Versus Audience Ownership and Platform Lock-In Benedict analyzes audience acquisition trade-offs between owned distribution channels like newsletters and closed algorithmic networks, while Toni shares personal metrics demonstrating high reliance on the For You page over subscriber counts.30:34–37:20 · Guest teaching 2/10 Context Collapse and Polarization in Algorithmic Recommendation Feeds Toni and Benedict discuss context collapse when short-form algorithmic content strips away author background, comparing TikTok's polarization dynamics to Twitter's historical character limits.1:01–5:21 · Guest disagreement 1/10 Framing the TikTok Debate Across Three Core Pillars Benedict deconstructs the common privacy panic surrounding TikTok on iOS by explaining operating system sandboxing and device permissions, pivoting the core issue instead toward algorithmic distribution control.5:22–8:33 · Guest disagreement 1/10 Algorithmic Influence, Narrative Suppression, and State Censorship The conversation examines how users and state censors adapt to filtering mechanisms. Benedict draws on historical media ownership rules, such as Murdoch's US citizenship requirement, to argue why algorithmic control is treated like broadcast ownership.8:33–14:12 · Guest disagreement 2/10 Regulating Foreign Software and the Precedent of Banning Apps Toni questions whether banning apps sets a dangerous precedent regarding free expression and mentions firsthand sourcing from Iran, while Benedict distinguishes scalable privacy rules from arbitrary one-off app bans across other Chinese apps like Shein and CapCut.14:13–16:27 · Guest disagreement 1/10 The Decentering of American Cultural Norms on the Global Web Benedict details global internet traffic statistics showing the decentering of US and European users, while Toni contextualizes the historical irony of European users having lived under American platform dominance for decades.16:28–19:20 · Guest disagreement 1/10 Demographic Blind Spots and TikTok's Emergence as Entertainment Benedict compares TikTok's perceived tech blind spot to Silicon Valley's historical dismissal of Pinterest due to demographic biases, which Toni validates with specific examples of traditional sports journalists ignoring youth-dominated spaces.19:20–24:20 · Guest disagreement 1/10 Social Graphs Versus Interest Graphs: Differentiating Platforms Benedict contrasts social friend graphs like Instagram with interest-driven discovery streams like YouTube and TikTok. Toni elaborates on user behavior shifts from passive checking to continuous entertainment consumption.24:21–30:34 · Guest disagreement 1/10 Algorithmic Discovery Versus Audience Ownership and Platform Lock-In Benedict analyzes audience acquisition trade-offs between owned distribution channels like newsletters and closed algorithmic networks, while Toni shares personal metrics demonstrating high reliance on the For You page over subscriber counts.30:34–37:20 · Guest disagreement 1/10 Context Collapse and Polarization in Algorithmic Recommendation Feeds Toni and Benedict discuss context collapse when short-form algorithmic content strips away author background, comparing TikTok's polarization dynamics to Twitter's historical character limits.1:01–5:21 · The hosts pushing back 2/10 Framing the TikTok Debate Across Three Core Pillars Benedict deconstructs the common privacy panic surrounding TikTok on iOS by explaining operating system sandboxing and device permissions, pivoting the core issue instead toward algorithmic distribution control.5:22–8:33 · The hosts pushing back 2/10 Algorithmic Influence, Narrative Suppression, and State Censorship The conversation examines how users and state censors adapt to filtering mechanisms. Benedict draws on historical media ownership rules, such as Murdoch's US citizenship requirement, to argue why algorithmic control is treated like broadcast ownership.8:33–14:12 · The hosts pushing back 3/10 Regulating Foreign Software and the Precedent of Banning Apps Toni questions whether banning apps sets a dangerous precedent regarding free expression and mentions firsthand sourcing from Iran, while Benedict distinguishes scalable privacy rules from arbitrary one-off app bans across other Chinese apps like Shein and CapCut.14:13–16:27 · The hosts pushing back 1/10 The Decentering of American Cultural Norms on the Global Web Benedict details global internet traffic statistics showing the decentering of US and European users, while Toni contextualizes the historical irony of European users having lived under American platform dominance for decades.16:28–19:20 · The hosts pushing back 1/10 Demographic Blind Spots and TikTok's Emergence as Entertainment Benedict compares TikTok's perceived tech blind spot to Silicon Valley's historical dismissal of Pinterest due to demographic biases, which Toni validates with specific examples of traditional sports journalists ignoring youth-dominated spaces.19:20–24:20 · The hosts pushing back 2/10 Social Graphs Versus Interest Graphs: Differentiating Platforms Benedict contrasts social friend graphs like Instagram with interest-driven discovery streams like YouTube and TikTok. Toni elaborates on user behavior shifts from passive checking to continuous entertainment consumption.24:21–30:34 · The hosts pushing back 2/10 Algorithmic Discovery Versus Audience Ownership and Platform Lock-In Benedict analyzes audience acquisition trade-offs between owned distribution channels like newsletters and closed algorithmic networks, while Toni shares personal metrics demonstrating high reliance on the For You page over subscriber counts.30:34–37:20 · The hosts pushing back 2/10 Context Collapse and Polarization in Algorithmic Recommendation Feeds Toni and Benedict discuss context collapse when short-form algorithmic content strips away author background, comparing TikTok's polarization dynamics to Twitter's historical character limits.

speaking balance: gold is the hosts, purple is the guest (3 minute bins)

0:00 · the hosts 100% · guest 0%0:00 · the hosts 100% · guest 0%3:00 · the hosts 100% · guest 0%3:00 · the hosts 100% · guest 0%6:00 · the hosts 99.9% · guest 0.1%6:00 · the hosts 99.9% · guest 0.1%9:00 · the hosts 100% · guest 0%9:00 · the hosts 100% · guest 0%12:00 · the hosts 100% · guest 0%12:00 · the hosts 100% · guest 0%15:00 · the hosts 99.9% · guest 0.1%15:00 · the hosts 99.9% · guest 0.1%18:00 · the hosts 100% · guest 0%18:00 · the hosts 100% · guest 0%21:00 · the hosts 100% · guest 0%21:00 · the hosts 100% · guest 0%24:00 · the hosts 99.9% · guest 0.1%24:00 · the hosts 99.9% · guest 0.1%27:00 · the hosts 100% · guest 0%27:00 · the hosts 100% · guest 0%30:00 · the hosts 100% · guest 0%30:00 · the hosts 100% · guest 0%33:00 · the hosts 100% · guest 0%33:00 · the hosts 100% · guest 0%36:00 · the hosts 100% · guest 0%36:00 · the hosts 100% · guest 0%39:00 · the hosts 100% · guest 0%39:00 · the hosts 100% · guest 0%
Sharpest disagreement ▶ 8:33 Challenging App Bans as a Threat to Free Speech

Toni pushes back against the broad framing of app restrictions by highlighting how banning consumer software threatens access to grassroots reporting and sets free expression precedents.

Hardest push from the hosts ▶ 12:05 Distinguishing OS Privacy Rules from Algorithmic Censorship

Benedict firmly separates privacy legislation from recommendation regulation, challenging the notion that one-off app bans solve underlying systemic data security concerns.

Biggest teaching moment ▶ 17:32 Creator Demographics and Media Blind Spots

Toni illustrates with direct industry experience in Formula One journalism how male analysts systematically overlook major platform shifts when dominated by younger female audiences.

The host holds their own ▶ 29:00 The Mechanics of Discovery Versus Platform Rent

Benedict demonstrates his domain expertise on digital distribution models by outlining the structural trade-off between building sovereign audiences and relying on centralized recommendation algorithms.

the scores for every segment, with the reasoning behind each
ChapterTopicThe hosts as informed peerGuest teachingGuest disagreementThe hosts pushing backWhy
Framing the TikTok Debate Across Three Core Pillars 7112 Benedict deconstructs the common privacy panic surrounding TikTok on iOS by explaining operating system sandboxing and device permissions, pivoting the core issue instead toward algorithmic distribution control.
Algorithmic Influence, Narrative Suppression, and State Censorship 7212 The conversation examines how users and state censors adapt to filtering mechanisms. Benedict draws on historical media ownership rules, such as Murdoch's US citizenship requirement, to argue why algorithmic control is treated like broadcast ownership.
Regulating Foreign Software and the Precedent of Banning Apps 8223 Toni questions whether banning apps sets a dangerous precedent regarding free expression and mentions firsthand sourcing from Iran, while Benedict distinguishes scalable privacy rules from arbitrary one-off app bans across other Chinese apps like Shein and CapCut.
The Decentering of American Cultural Norms on the Global Web 7211 Benedict details global internet traffic statistics showing the decentering of US and European users, while Toni contextualizes the historical irony of European users having lived under American platform dominance for decades.
Demographic Blind Spots and TikTok's Emergence as Entertainment 6311 Benedict compares TikTok's perceived tech blind spot to Silicon Valley's historical dismissal of Pinterest due to demographic biases, which Toni validates with specific examples of traditional sports journalists ignoring youth-dominated spaces.
Social Graphs Versus Interest Graphs: Differentiating Platforms 7212 Benedict contrasts social friend graphs like Instagram with interest-driven discovery streams like YouTube and TikTok. Toni elaborates on user behavior shifts from passive checking to continuous entertainment consumption.
Algorithmic Discovery Versus Audience Ownership and Platform Lock-In 8212 Benedict analyzes audience acquisition trade-offs between owned distribution channels like newsletters and closed algorithmic networks, while Toni shares personal metrics demonstrating high reliance on the For You page over subscriber counts.
Context Collapse and Polarization in Algorithmic Recommendation Feeds 7212 Toni and Benedict discuss context collapse when short-form algorithmic content strips away author background, comparing TikTok's polarization dynamics to Twitter's historical character limits.

Statements from this episode (19)

Opinion
Evans: Silicon Valley Bank collapse is a banking regulation story, not tech.
“Well, we're not talking about SVB because the time limit on that passed at 12 o'clock Eastern time people have got spectacularly upset about it, but in the end, this is actually a kind of a banking industry and a banking regulation story, and I'm not actually …”
Benedict Evans Mar 20, 2023 ▶ 0:08
Opinion
Evans: Any company based in China is de facto controlled by Beijing.
“So in principle, any company that is based in China where sort of important decisions can be made here in China is de facto under control of the Chinese government.”
Benedict Evans Mar 20, 2023 ▶ 3:14
Assertion Supported
Evans: Apple's iOS sandboxing makes it impossible for TikTok to read emails.
“TikTok can't read your email. Like on iOS, it cannot. It just can't. A third party app cannot see your email. It's sitting in a sandbox.”
Benedict Evans Mar 20, 2023 ▶ 3:45
Insight
Evans: Coded phrases used to bypass Chinese censorship never last long
“People can come up with phrases to circumvent keyword censorship, and of course very quickly the censors catch up to it, and so it never lasts, never, never lasts for very long.”
Benedict Evans Mar 20, 2023 ▶ 6:27
Insight
Evans: Generative AI models cannot be deterministically controlled using crude keyword filters.
“You can't, you know, you cannot deterministically control what it says. So you can kind of put crude keyword filters on. You can count, you can put kind of crude, crude keyword filters sort of on top, but you can't guarantee that it's not going to you talk abo…”
Benedict Evans Mar 20, 2023 ▶ 6:37
Opinion
Evans: US regulators would block Chinese acquisitions of Netflix over narrative control.
“You wouldn't allow a Chinese company to buy Time Warner, or to buy Warner Discovery. You wouldn't allow a Chinese company to buy Netflix. Not because of privacy, not because you're afraid the Netflix app is going to spy on you, but because you don't want Chine…”
Benedict Evans Mar 20, 2023 ▶ 8:05
Assertion Supported
Evans: In March 2023, four of the top five iOS apps were Chinese.
“Somebody pointed out a couple of, a week or two ago that like four of the top five free apps on the iOS app store were Chinese, and so it's TikTok, but it's also Shein and Temu and CapCut from memory”
Benedict Evans Mar 20, 2023 ▶ 11:45
Insight
Evans: Privacy concerns span all foreign apps, but algorithmic risks isolate TikTok
“If you're worried about a Chinese app that could have access to device on the phone, then you either just ban all Chinese apps, or you try for a systemic, scalable solution across, like, well, you have privacy laws, you have rules that all apps have to follow,…”
Benedict Evans Mar 20, 2023 ▶ 12:46
Assertion Partly supported
Evans: US, Japan, and South Korea now comprise only a quarter of traffic.
“One of the charts in my presentation is that like a quarter of global internet traffic is USA, Japan, South Korea combined. And then another quarter is India and a quarter is China and a quarter is everything else. So like where I was 10 years ago, it was like…”
Benedict Evans Mar 20, 2023 ▶ 15:17
Insight
Evans: Silicon Valley initially overlooked Pinterest because its userbase was mostly female.
“There was an observation for a long time that Pinterest was sort of like invisible in Silicon Valley, because basically like 80 or 90% of the user pay, it's in New York. Is it New York? I think it's in New York. Yeah. 90% of the users are women. And so like, a…”
Benedict Evans Mar 20, 2023 ▶ 16:39
Opinion
Evans: The tech industry largely ignores TikTok compared to Twitter or YouTube.
“Everyone uses YouTube, and everyone sort of knows that TikTok is this big thing, but the sort of tech conversation in general doesn't talk about what's happening on TikTok. I don't think in the way that it talks about Instagram or YouTube or Twitter. And that'…”
Benedict Evans Mar 20, 2023 ▶ 17:05
Assertion Supported
Cowan-Brown: TikTok executives openly describe the app as entertainment, not social media.
“What I found really interesting is listening to some TikTok executives actually openly describe TikTok, not as a social media platform, but as an entertainment.”
Toni Cowan-Brown Mar 20, 2023 ▶ 18:57
Opinion
Evans: TikTok fundamentally competes with YouTube, not Instagram or Facebook.
“I think there's a sort of it's almost like an incorrect analysis, which was, I'm trying to think of the right word, which is like, we kind of went down the line of thinking that TikTok competed with Instagram and Facebook, as opposed to thinking that it compet…”
Benedict Evans Mar 20, 2023 ▶ 19:21
Insight
Cowan-Brown: Users passively consume long TikTok sessions rather than quickly checking for updates.
“I don't, Check TikTok, I consume it, and I watch it. I don't check TikTok the way you would check Instagram or Twitter, where you open up the app, you have a look, you check if anything's changed, and then you leave. Whereas I think what's happening on TikTok …”
Toni Cowan-Brown Mar 20, 2023 ▶ 21:19
Opinion
Cowan-Brown: Most creators view TikTok as an intermediate stepping stone to YouTube.
“Most people are creating short form content on TikTok, but that doesn't feel like the end goal. It feels like the end goal is then moving to YouTube or moving somewhere else. Whereas I can see more YouTubers being like Marques Brownlee or Mr. Beast was like, n…”
Toni Cowan-Brown Mar 20, 2023 ▶ 23:40
Insight
Evans: TikTok's algorithmic flow prevents creators from building a permanent owned audience.
“I don't get the impression that TikTok has that same mechanic of, like, I can build a permanent audience there, and that it's more that you are more dependent on the river, on being thrown up to the river, because, you know, TikTok, YouTube gives you all these…”
Benedict Evans Mar 20, 2023 ▶ 25:09
Insight
Evans: Amazon and YouTube have successfully unbundled Google Search for specific queries.
“Clearly both Amazon and YouTube have unbundled Google in that sense that you go to Amazon for product and you go to YouTube for not just for quote unquote video, but for a lot of other stuff that might previously have been text.”
Benedict Evans Mar 20, 2023 ▶ 26:40
Insight
Evans: Algorithmic recommendation feeds systematically break the context of a creator's content.
“And the point is the recommendation flow breaks the context.”
Benedict Evans Mar 20, 2023 ▶ 35:25
Opinion
Evans: Netflix is fundamentally a television company, not a tech company.
“I think Netflix is a TV company, not a tech company, because all the questions are TV questions. They go to LA and they buy them. They buy LA stuff from LA people. It's a TV company.”
Benedict Evans Mar 20, 2023 ▶ 37:48
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