Andrew Huberman
Associate Professor, Stanford University School of Medicine · 0 appearances on the record.
computed by AI from the episodes · how this works → · full disclaimer →
hostacademicscientist@hubermanlab ↗LinkedIn ↗med.stanford.edu/profiles/andrew-huberman ↗Wikipedia ↗
He hosts the health and science podcast Huberman Lab, translating neuroscience research into actionable protocols for sleep, focus, and performance. As a researcher, he has contributed extensively to the fields of neural plasticity, brain development, and visual system repair.
The record, in short
What the tape says about how Andrew argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
How they sound: speaking style how? →
261 words/min while actually speaking · 18.2 um and uh per 1k words
No argument clarity score for Andrew Huberman: no usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.
Measured by listening to the audio itself: 8,524 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →
Everything Andrew Huberman said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
The other half of the tape: Andrew Huberman's own voice is left out of every number here. Other people bring the name up 10 times in 5 episodes on the a16z Podcast. 1 statement on the record names them. every mention, with the transcript →
Who brings them up most Sriram Krishnan 4Daisy Wolf 2Balaji Srinivasan 2Nat Eliason 1Marc Andreessen 1