John Foreman

Chief Data Scientist, Mailchimp · 0 appearances on the record.

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

John Foreman is the Chief Data Scientist at Mailchimp. He was featured as a speaker at Data Driven NYC.

13statements → 7claims → 0claims resolved → average certainty → average debate potential →

5 not checkable as stated how the 7 claims stand · each chip opens the sources

1 prediction · 6 assertions · 1 opinion · 2 insights · 3 disclosures · every statement was checked. The prediction and assertions are the 7 claims: statements the public record can support or contradict. 2 are resolved, and 5 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 John 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
Mailchimp sends 6-7 billion monthly emails across 4 million users
“The last time I checked, four million users, somewhere between six and seven billion emails sent every month.”
John Foreman Dec 5, 2013 ▶ 1:50 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013

Their most notable contradicted claim

Prediction Didn’t hold up
Mailchimp expects to hit 10 billion monthly emails by late 2013
“That'll probably be ten billion by the end of the year.”
John Foreman Dec 5, 2013 ▶ 1:56 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
0% 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? →

260 words/min while actually speaking · 11 um and uh per 1k words

No argument clarity score for John Foreman: 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: 4,640 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 John Foreman said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Insight
Data science deserves no special treatment over simple UI design changes
“Data science products should receive no special treatment. If a designer Can do a better job solving a problem by changing the color of a form than I can do with some AI model or something, then that design product should win.”
John Foreman Dec 5, 2013 ▶ 22:11 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Opinion
Most tech data features are built to impress investors, not help users
“When you see examples from other companies out in the wild, generally they're to improve, they're sort of to impress investors or the media.”
John Foreman Dec 5, 2013 ▶ 3:55 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Assertion Not checkable as stated
Gmail's tabbed inbox launch dropped Mailchimp open rates by 10 percent
“This is three weeks before and after tabs were introduced, and we can see about a raw one percent difference, so maybe about a 10% decrease in engagement. We've got three weeks. Blue is weekday. Yellow is, ah, weekend, and these are open rates. So you can see …”
John Foreman Dec 5, 2013 ▶ 9:53 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Disclosure
Mailchimp's data science team spends 80 percent of time building tools
“And right now we spend about 20% of our time doing insight, which is just one-off reporting or one-off sort of consulting engagements, and we spend about 80% of our time building tools or capabilities”
John Foreman Dec 5, 2013 ▶ 5:20 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Insight
Data scientists should consider changing the business itself when models fail
“If a model's not working out, you should always ask yourself, can we just change the business? You know, as opposed to somehow optimally solving this problem, can we just stop doing this thing I'm trying to solve?”
John Foreman Dec 5, 2013 ▶ 8:03 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Disclosure
Mailchimp infers recipient age and gender via cross-network subscription graphs
“We can actually determine a lot of demographic data through this, ah, age, gender, things like that.”
John Foreman Dec 5, 2013 ▶ 18:11 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Assertion Supported
Mailchimp sends 6-7 billion monthly emails across 4 million users
“The last time I checked, four million users, somewhere between six and seven billion emails sent every month.”
John Foreman Dec 5, 2013 ▶ 1:50 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Prediction Didn’t hold up
Mailchimp expects to hit 10 billion monthly emails by late 2013
“That'll probably be ten billion by the end of the year.”
John Foreman Dec 5, 2013 ▶ 1:56 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Assertion Not checkable as stated
Mailchimp had 200 total employees in 2013, with 100 in support
“We have 200 employees. About a hundred of those are support personnel.”
John Foreman Dec 5, 2013 ▶ 5:51 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Assertion Not checkable as stated
EPA email engagement fell to 10 percent during the government shutdown
“Down there at the bottom, EPA was, like, garbage, right? 10% of the engagement after the shutdown as before”
John Foreman Dec 5, 2013 ▶ 10:48 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Assertion Not checkable as stated
One sixth of Mailchimp compliance tickets were solely for user vetting
“A sixth of our compliance tickets had nothing to do with being bad. We just wanted to vet you.”
John Foreman Dec 5, 2013 ▶ 13:10 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Disclosure
Mailchimp used Redis to maintain dossiers on billions of email addresses
“For our fast storage, we used Redis. We've got one dossier per email address of all the email addresses we've ever seen, so billions of unique addresses and a bunch of events about everything they've engaged with in the past.”
John Foreman Dec 5, 2013 ▶ 15:06 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
Assertion Not checkable as stated
Mailchimp's Discovered Segments boosted a developer newsletter engagement by 50 percent
“We took a group of devs that we knew about, threw it into discovered segments, grabbed some more, and then sent it out and actually got 50% better engagement on that newsletter than typical.”
John Foreman Dec 5, 2013 ▶ 21:08 John Foreman, Mailchimp // Data Driven NYC 19 // October 2013

Played on the show (1)

Episodes where a recording of John Foreman was played rather than John taking part, or where the tape carries an address with nobody putting questions to them. Listed because the words are on the record, kept out of every score on this page because they were not said on this show. We read this off the tape: who was spoken to, who was asked something, who answered whom.

EpisodeDateOn tapeWhat it is
John Foreman, Mailchimp // Data Driven NYC 19 // October 2013 Dec 5, 2013 20m aired address
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