Straight Answers
An LLM assessed 456 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 122 people on the record is accounted for: 1 carry a full rate (8 or more assessed questions on raw tape), 104 more have their questions counted (27 of them with at least one not answered directly; too few raw questions for a fair percentage, edited feed included), and the remaining 17 never took a direct question in any tape we hold: compilations, panels and cameo appearances leave nothing to assess.
No needle for Christopher Luxon: fewer than 8 assessed questions on raw tape, and a percentage on a sample that small would mislead. Their counts are real: 3 not answered directly in 6 assessed questions.
Christopher Luxon: every exchange, playable
The question Nikhil 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 think Doge is a good idea?”
answered: “I'm not going to talk about US domestic politics, because I'm not responsible”
“I think what's much more- How would you label your board?”
answered: “you can talk about, ah, left, right, and labels as much as you like”
“I mean, they just do it with a nib, right?”
answered: “Yeah, you got it, you got it, you got it. And, um, they're just incredible”
All speakers
All 1 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 |
|---|---|---|---|---|
| Nikhil Kamath Co-founder, Zerodha | 27% | 6 | 22 | 3.6 |
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).