Peter Wang

Co-Founder & Chief AI Officer, Anaconda · 1 appearance on the record.

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

founderexecutiveengineer@pwang ↗LinkedIn ↗anaconda.com ↗

In 2012, Wang co-founded Anaconda with Travis Oliphant to establish Python as an enterprise standard for data science and machine learning. He is also known for creating the PyData conference series and community, as well as unveiling PyScript.

11statements → 4claims → 0claims resolved → 4.09/5average certainty → 2.55/5average debate potential →

4 not checkable as stated how the 4 claims stand · each chip opens the sources

2 predictions · 2 assertions · 1 opinion · 4 insights · 2 disclosures · every statement was checked. The predictions and assertions are the 4 claims: statements the public record can support or contradict. 0 are resolved, and 4 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 Peter 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? →

306 words/min while actually speaking · 20.5 um and uh per 1k words

No argument clarity score for Peter Wang: 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: 4,876 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 said11 Episodes1

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

Prediction Not checkable as stated

Wang: Regulating venture-backed data monetization models will trigger a market crash

“Any regular that comes in and blows up the business model of a ton of, like, high valuation VC stuff, they're gonna trigger a pretty bad situation.”

Peter Wang Oct 25, 2019 ▶ 21:59 Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC)

Insight

Wang: Data science is an analytical literacy rather than a job role

“Data science is not actually a job or a role. It's a literacy”

Peter Wang Oct 25, 2019 ▶ 5:04 Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC)

Insight

Wang: Graphical BI tools degenerate into useless complexity compared to code

“Point-and-click graphical tools are really very impoverished when it comes to expressing the full plethora of opportunities and possibilities. And what we, in fact, see is a lot of the graphical tools for, you know, advanced BI++ kinds of tools, they ultimatel…”

Peter Wang Oct 25, 2019 ▶ 6:59 Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC)

Prediction Not checkable as stated

Wang: Python notebook literacy will create a sharp divide in career outcomes

“In the world to come, in any line of business, any title you have, any branch of science, the people who can hack a Python notebook versus the people who cannot is going to be a very sharp divide in terms of your career outcomes.”

Peter Wang Oct 25, 2019 ▶ 8:26 Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC)

Insight

Wang: Individual data privacy depends entirely on societal herd immunity

“Data privacy and anonymity and the, kind of, the idea that we can live private lives, that is contingent, it's kind of a herd immunity, right? So even if you turn off all your tracking stuff and you're a super, like, crypto nerd about all this stuff, if everyo…”

Peter Wang Oct 25, 2019 ▶ 11:54 Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC)

Insight

Wang: Businesses cannot simply purchase off-the-shelf ethical AI

“You cannot buy off the shelf ethical AI. You can buy effective AI, but if you're not doing ethical things as a business, you're not going to have ethical AI.”

Peter Wang Oct 25, 2019 ▶ 14:18 Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC)

Opinion

Wang: 'Citizen data science' is a completely bogus corporate term

“Citizen data science is, is kind of, it's a bogus term.”

Peter Wang Oct 25, 2019 ▶ 3:30 Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC)

Disclosure

Wang: Anaconda pays core Pandas and scikit-learn maintainers full-time

“Our fix for that is we just pay developers. So, like, we have a couple of a couple of the core maintainers for Pandas are full-time developers, and they're just paid to work on Pandas, and same thing with scikit-learn.”

Peter Wang Oct 25, 2019 ▶ 1:02 Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC)

Assertion Not checkable as stated

Wang: Python is one of the few programming languages designed for teaching

“One of the things that's really interesting about Python as a language is that it is actually one of the very few languages in the world that has a history or a pedigree, a legacy of being developed with the intent of being taught.”

Peter Wang Oct 25, 2019 ▶ 8:39 Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC)

Assertion Not checkable as stated

Wang: Anaconda reached 18 million users on trailing 12-month basis

“Although we hit, we now hit eighteen million users on a trailing 12 month basis”

Peter Wang Oct 25, 2019 ▶ 0:27 Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC)

Disclosure

Anaconda survey: Under half of users have 'data scientist' in job title

“Out of the, whatever, thousands of thousands of respondents of people who use the Anaconda, less than half actually had data scientists in their title, and most people actually were learning data science to use it in their current job function.”

Peter Wang Oct 25, 2019 ▶ 5:09 Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC)

Appearances (1)

Episode	Date	Speaking time
Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC	Oct 25, 2019	20m

Peter Wang

The record, in short

How they sound: speaking style how? →

Appearances (1)

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