Straight Answers
An LLM assessed 109 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 34 people on the record is accounted for: 2 carry a full rate (8 or more assessed questions on raw tape), 28 more have their questions counted (4 of them with at least one not answered directly; too few raw questions for a fair percentage, edited feed included), and the remaining 4 never took a direct question in any tape we hold: compilations, panels and cameo appearances leave nothing to assess.
All speakers
All 2 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 |
|---|---|---|---|---|
| Jessica Lessin Founder & CEO, The Information | 25% | 2 | 8 | 3.5 |
| Sam Lessin Founding Partner, Slow Ventures | 8% | 1 | 12 | 3.9 |
The moments, on tape
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.
“What will bending spoons do with it? Do you think?”
answered: “If anything, this is the right way to go about things”
“Wait, I have a question, Jess, what do you mean by feminine energy? Like, what do we need to bring to the, to bear here?”
answered: “the point isn't to define it. The point is to, like, unleash more energy.”
“A lot of brands pulled out of advertising on X, you know, based on Elon and everything else that was happening there, but it, I mean, how detrimental was it to that business? It didn't, I mean, a lot of them came back.”
answered: “I guess it's like on the corporate side, which way do we think the pendulum's swinging?”
“What, like, what's going to happen with these IPO valuations, Anatoly? All these big, the circles, and like, what's going on?”
answered: “hard to imagine five trillion dollars worth of stable coins issued”
“Yeah. Um, and that, that's a little bit of a scary thing for me in the market right now.”
answered: “Well, I always get nervous when markets get pulled forward, you know, like, even like our”
“And Ricky, if you were, like, starting College Humor today with AI as it exists, would you do anything differently?”
answered: “being in the partnerships org, like, we think about how to empower creators”
“And then Instagram came out with like, okay, we're going to have the common unit and we're going to have the feed and a network structure and all the rest of it. And so that's the thing that stuck, right?”
answered: “The thing that strikes me is so different about this AI wave though, versus mobile”
“Or what we, what do you guys do about that? Because that's a reality today.”
answered: “Every time we do conversations with like normies, like the head of school or whatever”
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).