Javier de la Torre

Founder & CSO, CARTO · 1 appearance on the record.

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

founderexecutivescientist

He co-founded CARTO (originally CartoDB) in 2012 to democratize geospatial data analysis. He previously served as its CEO and later transitioned to Chief Strategy Officer.

6statements → 4claims → 2claims resolved → 3.83/5average certainty → 1.17/5average debate potential →

2 supported 0 partly supported 0 contradicted 2 not checkable as stated how the 4 claims stand · each chip opens the sources

4 assertions · 2 insights · every statement was checked. The predictions and assertions are the 4 claims: statements the public record can support or contradict. 2 are resolved, and 2 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 Javier 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
CartoDB analysis finds 114,000 daily commuters depend on NYC's L train
“We found around 1014 thousand people, you know, that are depending on the L train every day.”
Javier de la Torre Feb 21, 2016 ▶ 3:23 Problem Solving With Geospatial Data // Javier de la Torre, CartoDB (Hosted by FirstMark Capital)

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
100% certainty 3
100% certainty 4
none yet certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

How they sound: speaking style how? →

270 words/min while actually speaking · 29.2 um and uh per 1k words

No argument clarity score for Javier de la Torre: 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: 4,793 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 Javier de la Torre 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
De la Torre: 80% of data has location component, only 10% use it
“In our industry that 80% of the data has a location component, and only around 10% of organizations are really making use of that data.”
Javier de la Torre Feb 21, 2016 ▶ 0:34 Problem Solving With Geospatial Data // Javier de la Torre, CartoDB (Hosted by FirstMark Capital)
Assertion Supported
CartoDB analysis finds 114,000 daily commuters depend on NYC's L train
“We found around 1014 thousand people, you know, that are depending on the L train every day.”
Javier de la Torre Feb 21, 2016 ▶ 3:23 Problem Solving With Geospatial Data // Javier de la Torre, CartoDB (Hosted by FirstMark Capital)
Insight
De la Torre: Location data enables joining otherwise non-relatable datasets
“Because we are working with location data, it means that we can relate data set that is non-relatable in other ways.”
Javier de la Torre Feb 21, 2016 ▶ 17:31 Problem Solving With Geospatial Data // Javier de la Torre, CartoDB (Hosted by FirstMark Capital)
Insight
De la Torre: Credit card data reveals whether physical shops are open
“I mean, you can even derive, I mean, which shops are open or are they closed just based on credit card transactions.”
Javier de la Torre Feb 21, 2016 ▶ 20:16 Problem Solving With Geospatial Data // Javier de la Torre, CartoDB (Hosted by FirstMark Capital)
Assertion Supported
De la Torre: CartoDB can derive 3,000+ location attributes from census data
“I think there is more than 3000 different attributes that we can derive out of allocation based on, just on, on census data.”
Javier de la Torre Feb 21, 2016 ▶ 23:32 Problem Solving With Geospatial Data // Javier de la Torre, CartoDB (Hosted by FirstMark Capital)
Assertion Not checkable as stated
De la Torre: CartoDB has around 170,000 platform users
“We have around a 170,000 users on our platform.”
Javier de la Torre Feb 21, 2016 ▶ 1:12 Problem Solving With Geospatial Data // Javier de la Torre, CartoDB (Hosted by FirstMark Capital)

Appearances (1)

EpisodeDateSpeaking time
Problem Solving With Geospatial Data // Javier de la Torre, CartoDB (Hosted by FirstMark C Feb 21, 2016 20m
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