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.

Sam Lessin: 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.

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

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).