Max Shron

Director of Data Science, Switchbox · 1 appearance on the record.

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scientistauthorexecutivefounder@mshron ↗shron.net ↗

Max Shron is the author of Thinking with Data and an early data scientist behind OkCupid's OkTrends blog. He later founded Polynumeral, served as Head of Data at Warby Parker, and transitioned into climate policy modeling.

4statements → 1claims → 1claims resolved → 3.75/5average certainty → 2.75/5average debate potential →

0 supported 1 partly supported 0 contradicted how the 1 claim stands · each chip opens the sources

1 assertion · 1 opinion · 2 insights · every statement was checked. The predictions and assertion are the 1 claim: statements the public record can support or contradict. 1 is resolved. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Max 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? →

321 words/min while actually speaking · 38.6 um and uh per 1k words

No argument clarity score for Max Shron: only 1 usable question→answer exchange 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: 2,410 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 →

What they said4 Episodes1

Everything Max Shron said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Opinion

Shron: PhD hires in data science often act entitled about personal research

“I feel like the people who I've seen hired in as PhDs often have a sense of entitlement about their, how much they're going to have to be able to work on their own problems at the exclusion of the needs of the company.”

Max Shron Dec 5, 2013 ▶ 8:20 Panel Discussion // Data Driven #16 // May 2013

Insight

Shron: Practical projects yield more value in data science than deep specialization

“There is a lot more to be gained, especially in data science, for having done projects than having necessarily spent two or three years going in depth on one topic.”

Max Shron Dec 5, 2013 ▶ 8:32 Panel Discussion // Data Driven #16 // May 2013

Assertion Partly supported

Shron: OkCupid data showed beer drinkers twice as open to first-date sex

“We found one of the most interesting ones was that people who said they liked the taste of beer were twice as likely to be open to, ah, having sex on a first date.”

Max Shron Dec 5, 2013 ▶ 12:09 Panel Discussion // Data Driven #16 // May 2013

Insight

Shron: Data science projects should start with a need, not a question

“So I don't think it's necessarily that you start with a question. I think you should start with a need. You should first trigger out, what is the problem I'm actually trying to solve before I do anything else?”

Max Shron Dec 5, 2013 ▶ 24:26 Panel Discussion // Data Driven #16 // May 2013

Appearances (1)

Episode	Date	Speaking time
Panel Discussion // Data Driven #16 // May 2013	Dec 5, 2013	10m

Max Shron

The record, in short

How they sound: speaking style how? →

Appearances (1)

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