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 15 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
Between 30% and 50% of first-year hires fail
“30 to 50% of first year hires fail.”
Frida Polli Feb 3, 2017 ▶ 3:03 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Assertion Not checkable as stated
Neuroscience games lack inherent gender or ethnic bias
“Unlike some of the other data that people are using to predict fit in people, the games were generally, are generally not thought to have any inherent gender or ethnic bias, so they're not picking up on that if the training sample is biased.”
Frida Polli Feb 3, 2017 ▶ 6:08 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Opinion
Resumes and questionnaires are subjective, low-density hiring tools
“Both of these are low density and also subjective.”
Frida Polli Feb 3, 2017 ▶ 6:44 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Insight
Candidate models require a broad baseline contrast group
“What we're saying is, no, you really need to collect a baseline that is representative of the people that you're, you know, trying to select from and use that as your contrast group.”
Frida Polli Feb 3, 2017 ▶ 13:37 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Insight
High-density objective data yields superior prediction of human outcomes
“And so what we just, what we learned in our, you know, 10 years at Harvard and MIT doing brain imaging is that if you collect better, more objective, more high density data on people, you can actually do a better job Of predicting research outcomes.”
Frida Polli Feb 3, 2017 ▶ 3:40 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Assertion Supported
Nonverbal neuroscience games avoid cultural biases found in questionnaires
“And we assess 90 different cognitive, emotional, and personality traits, and again, these are all nonverbal, ah, games, so they're not culturally anchored the way, you know, questionnaires or other things might be.”
Frida Polli Feb 3, 2017 ▶ 5:41 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Insight
Process metrics provide better algorithmic features than binary pass-fail outcomes
“This information is a lot more useful in terms of, ah, building algorithms for, as features for building algorithms than just sort of binary, binary outputs.”
Frida Polli Feb 3, 2017 ▶ 9:49 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Assertion Not checkable as stated
Most recruitment startups simply apply machine learning to resumes
“So there are a handful of startups that are starting to do this type of work in the recruiting field. Many of them are focusing on the resume as a field, as a source of data.”
Frida Polli Feb 3, 2017 ▶ 12:28 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Assertion Not checkable as stated
Behavioral data shows VCs chase high rewards while hedge fund managers hedge
“VCs are very motivated by that sort of high reward stuff. Versus the head fund managers, they're hedging, right? So of course they're going to put in effort for a variety of different things, including low reward situations.”
Frida Polli Feb 3, 2017 ▶ 20:54 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Disclosure
Predictive hiring tools are best suited for early-career candidates
“Yeah, so I think that this solution is honestly best suited for, let's say, the first 10, 15 years of this process. I don't think it definitely can work with experienced hires, but the reason I think it works better earlier on is a couple reasons. That's reall…”
Frida Polli Feb 3, 2017 ▶ 22:54 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Assertion Not checkable as stated
Assessments may measure 90 traits, but only 10 determine job fit
“The second thing I would say to that is we measure 90 different traits, right? Of the things that are end up being important, it's usually maybe 10. Maybe, maybe fewer than that. The remaining 80 are left to vary tremendously, right?”
Frida Polli Feb 3, 2017 ▶ 24:36 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Assertion Not checkable as stated
The average recruiter receives 250 applicants per job posting
“The average recruiter gets 250 applicants for every job that they post.”
Frida Polli Feb 3, 2017 ▶ 1:58 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Assertion Not checkable as stated
Recruiters manually scan resumes for an average of six seconds
“If it's a person doing the scanning, they'll on average scan it for six seconds”
Frida Polli Feb 3, 2017 ▶ 2:06 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Assertion Partly supported
The most commonly used career instrument, Myers-Briggs, is 80 years old
“The most commonly used instrument is the Myers-Briggs and it is almost a century old at this point. It's 80 years old.”
Frida Polli Feb 3, 2017 ▶ 17:08 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Disclosure
Algorithmic screening should replace the resume review, not the interview
“The problem we're trying to solve is that initial decision as to, like, who to bring in for an interview. Nothing more. We're not touching the interview. We're not touching the internship process.”
Frida Polli Feb 3, 2017 ▶ 27:03 Matching People to Careers Bias-Free // Frida Polli, Pymetrics (FirstMark's Data Driven)
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.