Saar Golde

Chief Data Scientist, Via · 1 appearance on the record.

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Saar Golde leads data science and algorithm research at Via, overseeing the mathematical modeling, vertical AI, and routing optimization behind shared transit networks. He holds a Ph.D. in Economics from Stanford University, previously helped scale the data science practice at Knowledgent, and is an angel investor.

3statements → 2claims → 1claims resolved → 3.67/5average certainty → 2.67/5average debate potential →

1 supported 0 partly supported 0 contradicted 1 not checkable as stated how the 2 claims stand · each chip opens the sources

2 assertions · 1 disclosure · every statement was checked. The predictions and assertions are the 2 claims: statements the public record can support or contradict. 1 is resolved, and 1 names no date, number or outcome precise enough to check. 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 Saar argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
Golde: Uber drivers average 0.6 to 0.8 empty miles per passenger mile
“We look at some of our competitors, specifically Uber, there's a paper published again, either late last year or earlier this year, showing how many miles they ride empty on average for every single passenger mile that they do, and it's about between . Six and…”
Saar Golde Apr 6, 2017 ▶ 10:53 Reengineering Urban Transit // Daniel Ramot and Saar Golde, Via (FirstMark's Data Driven)

How they sound: speaking style how? →

240 words/min while actually speaking · 54.5 um and uh per 1k words

No argument clarity score for Saar Golde: 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: 2,439 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 Saar Golde said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Not checkable as stated
Golde: Via delivers two passengers per mile, outperforming competitors 3-4x
“So, on every mile we drive, we actually deliver on average two people one mile towards their destination, which is like four times better than You know, four times better than taxis, more than one in a, ah, more, more than three times better than, kind of, the…”
Saar Golde Apr 6, 2017 ▶ 12:27 Reengineering Urban Transit // Daniel Ramot and Saar Golde, Via (FirstMark's Data Driven)
Assertion Supported
Golde: Uber drivers average 0.6 to 0.8 empty miles per passenger mile
“We look at some of our competitors, specifically Uber, there's a paper published again, either late last year or earlier this year, showing how many miles they ride empty on average for every single passenger mile that they do, and it's about between . Six and…”
Saar Golde Apr 6, 2017 ▶ 10:53 Reengineering Urban Transit // Daniel Ramot and Saar Golde, Via (FirstMark's Data Driven)
Disclosure
Golde: Via sets driver rates and promotions one day in advance
“So what we do is we set the rates and the promotions to our drivers in a way that we think will bring enough of those drivers At the right time enough of drivers of the right types the following day. So we actually commit a day in advance to prices, and then a…”
Saar Golde Apr 6, 2017 ▶ 7:00 Reengineering Urban Transit // Daniel Ramot and Saar Golde, Via (FirstMark's Data Driven)

Appearances (1)

EpisodeDateSpeaking time
Reengineering Urban Transit // Daniel Ramot and Saar Golde, Via (FirstMark's Data Driven) Apr 6, 2017 12m
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