Straight Answers

An LLM assessed 585 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 →

18%of assessed questions not answered directly · how? → 25playable exchanges ↓ 0with none identified → 131people measured →

Every one of the 219 people on the record is accounted for: 3 carry a full rate (8 or more assessed questions on raw tape), 128 more have their questions counted (18 of them with at least one not answered directly; too few raw questions for a fair percentage, edited feed included), and the remaining 88 never took a direct question in any tape we hold: compilations, panels and cameo appearances leave nothing to assess.

Scott Galloway 1 of 6 assessed questions

No needle for Scott Galloway: fewer than 8 assessed questions on raw tape, and a percentage on a sample that small would mislead. Their counts are real: 1 not answered directly in 6 assessed questions.

← back to everyone · Scott Galloway's full record →

Scott Galloway: 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.

Redirected ▶ 23:40

“So, um, a couple of AI questions. Uh, one from Shelley who emailed us, um, asking us to ask you, aside from upskilling, up, upskilling with AI, what should white collar workers be doing to change their approach to both their jobs and the job market?”

answered: “What I would say is, it's just start using it”

All speakers

All 3 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
Jeff Berman CEO, WaitWhat 38% 3 8 3.7
Reid Hoffman Partner, Greylock 12% 2 17 4.1
Angela Duckworth Professor of Psychology, University of Pennsylvania 11% 1 9 4.1

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).

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