Jason Tan

Co-Founder and Executive Chairman, Sift · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

founderexecutiveengineerauthorsift.com ↗

Jason Tan co-founded Sift in 2011, serving as CEO as the company built a machine learning-driven fraud prevention platform and reached unicorn status. In 2021, he transitioned to Executive Chairman and began writing about leadership, mental health, and founder burnout on his Substack newsletter, Scar Tissue.

6statements → 5claims → 2claims resolved → 4/5average certainty → 1.5/5average debate potential →

2 supported 0 partly supported 0 contradicted 3 not checkable as stated how the 5 claims stand · each chip opens the sources

5 assertions · 1 insight · every statement was checked. The predictions and assertions are the 5 claims: statements the public record can support or contradict. 2 are resolved, and 3 name 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 Jason 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
Tan: Google generates $55B annually due to its search data lead
“They make fifty-five billion dollars a year, because they have so much data by being the number one search engine.”
Jason Tan May 27, 2014 ▶ 13:19 Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)

How they sound: speaking style how? →

304 words/min while actually speaking · 21.8 um and uh per 1k words

No argument clarity score for Jason Tan: 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: 4,173 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 Jason Tan said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Insight
Tan: Traditional rule-based fraud detection systems do not scale
“So this is the way that things are done, is really building these rule-based systems that do not scale, okay?”
Jason Tan May 27, 2014 ▶ 7:40 Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Jason Tan: Email addresses containing digits have higher fraud rates
“If you have numbers in your email address, more likely to be a fraudster.”
Jason Tan May 27, 2014 ▶ 8:42 Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Assertion Supported
Tan: Google generates $55B annually due to its search data lead
“They make fifty-five billion dollars a year, because they have so much data by being the number one search engine.”
Jason Tan May 27, 2014 ▶ 13:19 Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Assertion Supported
Tan: Sift Science has 25 employees and 175 customers including Twitter and Uber
“We have 25 people out in San Francisco just closed our Series B recently, and we have about a 175 customers around the world, including Twitter, Square, Match.com, OpenTable, Uber, Airbnb, Kickstarter and others.”
Jason Tan May 27, 2014 ▶ 0:19 Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Jason Tan: Gmail domains carry lower fraud risk than obscure domains
“Gmail is much more trustworthy than some of these other domains, right?”
Jason Tan May 27, 2014 ▶ 8:54 Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Jason Tan: Sift Science builds global models across 175 customers
“We build this global model that learns across all of our 175 global customers”
Jason Tan May 27, 2014 ▶ 19:37 Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)

Appearances (1)

EpisodeDateSpeaking time
Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital) May 27, 2014 17m
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