Straight Answers
An LLM assessed 416 question → answer exchanges, the host's own answers included. Speaker names were hidden during assessment. Each exchange was marked answered, partly, redirected or not addressed, with a quote as its source. Every exchange below is timestamped and plays. How it works →
These readings are observational: the transcript shows whether the question was answered directly, whatever the reason. It is an AI reading of a public exchange, never a claim about intent, and the tape is one tap away on every row. full disclaimer →
Every one of the 230 people on the record is accounted for: 6 carry a full rate (8 or more assessed questions on raw tape), 112 more have their questions counted (22 of them with at least one not answered directly; too few raw questions for a fair percentage, edited feed included), and the remaining 112 never took a direct question in any tape we hold: compilations, panels and cameo appearances leave nothing to assess.
John Coogan: every exchange, playable
The question asked, then the AI assessment note from the answer. Tap to play the moment. Not addressed = the question was not engaged; redirected = acknowledged, then steered elsewhere.
“Do you have any comments on, on your, your intern allegedly, you know, contributing funds to overthrow a government? Switch your business.”
answered: “Shell comes into the talks, uh, from operating from a position of strength”
“Exactly. The entire point is to let you kind of figure out what's important.”
answered: “So Karpathy goes on. He says, as far as a quick vibe check”
“Yeah. Do you think there's going to be that same path of like Uber for a while had a bunch of negative gross margin people going into it?”
answered: “I guess the question is like, are we in some sort of different regime”
“if we don't make this investment, is the, is the world gonna be, you know, worse off? Like, does this company, you know, I think it's not the quite the same test, but I think it's important for investors to run that, that process and understand, are we really funding the future that we want, or is this kind of a rounding error and the dollars would be better elsewhere?”
answered: “Can you give us a white pill? Like, are there any other organizations”
“Um, but I, I think, like, you know, meme coins have been a thing since the dawn of crypto. You could argue Every single asset is a is a meme coin in a way.”
answered: “What do you think about meme coins tied to individuals? Is that a growing trend?”
“Has any, has anyone at Anthropic, has anyone at Anthropic commented on this at all?”
answered: “I haven't seen anything. There is news out of, uh, out of Google.”
“There was some controversy, uh, when the, you know, Cheeky Pint, Elon interview came out and John Colson, how many Guinnesses were they drinking?”
answered: “That was a bit of palace intrigue... So, so years ago I was talking”
“Um, is it, is it a producer and this like the supplier producer?”
answered: “Anyway, let's move on to some reactions on the timeline”
“Do you, you don't trust Doug on this? Doug really doesn't want, Doug from Semi-Analysis really doesn't, does not want Intel to fail.”
answered: “I'm still like on the fence about it. Um, but, uh, so the debate”
“Like you already own like the, you already have the Disneyland of skiing. And 40 other resorts, how are you not a real business?”
answered: “I do wonder if there's other things they could do to lower the cost”
“How would you describe your corporate environment? Thrilling and unnerving.”
answered: “Better than just unnerving. I'd rather have some thrill in there.”
“Uh, and so I think they all kind of get it. And so it's just a question of like, how do we as a society start moving in that direction?”
answered: “what's really underrated is just, like, how useful this process of writing an article”
“You think that, you think the U.S. government at the federal level would say, let's fast track GLP-I's being covered by Medicare because it's gonna save us so much money in all these other ways, even though it is this sort of incremental cost.”
answered: “just to kind of steel man how we got here with the current healthcare structure”
“So what does Brian think about, uh, what should churn look? I bet if you ask the Delphi app, uh, is, is what, what kind of churn is, is respectable for a sub ten million MRR.”
answered: “all of that just gets compressed down... So, let's go to Lulu.”
“What was the number he threw out at the dinner last week? Wasn't it?”
answered: “I don't know if he had a number because... Zuck had a number”
“Why say many word when a few word do trick?”
answered: “it's the, ah, neural ease, I guess is the correct phrase.”
All speakers
All 6 people with 8 or more assessed questions on raw tape. Click a name to see their exchanges. highest rate none identified small samples
| Person | Not answered directly (%) | Redirected + not addressed | Questions | Argument clarity /5 |
|---|---|---|---|---|
| Jordi Hays Co-founder & Co-host, TBPN | 60% | 6 | 10 | 3.6 |
| John Coogan Co-Host, TBPN | 31% | 16 | 51 | 3.9 |
| Delian Asparouhov Partner, Founders Fund | 11% | 1 | 9 | 3.9 |
| Augustus Doricko Founder & CEO, Rainmaker | 11% | 1 | 9 | 4.3 |
| Marc Andreessen Co-Founder and General Partner, Andreessen Horowitz | 10% | 1 | 10 | 4.0 |
| Brian Armstrong Co-Founder & CEO, Coinbase | 0% | 0 | 12 | 4.3 |
Percentages come from raw unedited recordings only: produced podcast audio has tangents and stumbles cut in the edit, which moves the speaker up by about 12 percentile points. The small-sample counts include the produced feed. This is a reading of a transcript. It is not an accusation of dishonesty, and there are many good reasons not to answer a question directly (confidential numbers, unreleased products, someone else's news to break).