The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 13 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Assertion Not checkable as stated
ADP operates large language models in full production
“We're in full production on top of some of those large, large language models.”
Jack Berkowitz Nov 17, 2022 ▶ 7:08 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Assertion Partly supported
Jack Berkowitz says ADP moved $3.2 trillion in money transactions last year
“So last year we moved about 3.2 trillion dollars.”
Jack Berkowitz Nov 17, 2022 ▶ 1:04 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Assertion Not checkable as stated
ADP uses ML to reduce 21 million job titles into 7,000 categories
“So in any given month, right, those forty million people, there's about twenty one million job titles. We run some pretty sophisticated, ah, machine learning to boil that down to about 6000, ah, or now 7000 key job categories.”
Jack Berkowitz Nov 17, 2022 ▶ 3:29 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Assertion Partly supported
ADP pays roughly 20 percent of all workers in the United States
“We pay in the US, you know, something like 18 or 20% of people, and then we do the taxes on another You know, similar size.”
Jack Berkowitz Nov 17, 2022 ▶ 10:24 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Assertion Not checkable as stated
Berkowitz: ADP pays 20% to 30% of the French population
“In France, we're also, we pay something like 20 or 30% of the French population.”
Jack Berkowitz Nov 17, 2022 ▶ 20:46 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Assertion Partly supported
Berkowitz: ADP pays about 40 million workers globally every month
“Some of the numbers are kind of astounding, so we pay in any given month about forty million people around the world.”
Jack Berkowitz Nov 17, 2022 ▶ 0:40 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Assertion Not checkable as stated
ADP's benchmarking database includes data from around 950,000 clients
“So we've got about 950,000 clients in this database.”
Jack Berkowitz Nov 17, 2022 ▶ 3:22 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Assertion Not checkable as stated
ADP's turnover prediction model runs on 57 attributes
“The turnover predictor, for example, uses 57 attributes.”
Jack Berkowitz Nov 17, 2022 ▶ 6:07 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Assertion Not checkable as stated
ADP's skills graph ontology is 95% automated
“Instead of having it all done by hand, it's, pfft, 95% automated.”
Jack Berkowitz Nov 17, 2022 ▶ 8:37 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Assertion Not checkable as stated
Berkowitz: ADP delivers reports to around 30,000 downstream systems
“We actually have something in our system like 30,000 downstream systems. You know, Fidelity, Blue Cross Blue Shield. They all get reports.”
Jack Berkowitz Nov 17, 2022 ▶ 21:06 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Assertion Not checkable as stated
Berkowitz: ADP can scale a new product to 5,000 clients within a year
“So, I can launch a product today and have 5000 clients on it in a year.”
Jack Berkowitz Nov 17, 2022 ▶ 27:31 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Assertion Not checkable as stated
ADP uses EEOC's Test of Means internally to gauge machine learning systems
“So the EEOC has a thing called the, ah, Test of Means, and we actually use that internally to gauge our machine learning systems, and then we'll test and monitor for that.”
Jack Berkowitz Nov 17, 2022 ▶ 33:24 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Assertion Contradicted
Berkowitz: ADP handles recruiting for 15% to 18% of US workers
“If we're paying 18% of the country, we're recruiting about 15 to 18% of the country as well through those systems, okay?”
Jack Berkowitz Nov 17, 2022 ▶ 35:02 Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
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