Issue #[[item.issue__number]] published [[timeFormat(item.date)]]


We’ve conflated data with truth. And this has dangerous implications for our ability to understand, explain, and improve the things we care about.
Essential read from Andrea Jones-Rooy, Professor of Data Science at NYU. Perfect antidote to online arguments where your interlocutor goes ‘where’s the data on that?’
Issue #158 published 23 Apr 2020
More stuff from the US military, and as you might expect, it is both impressive and worrisome in equal measure. A new AI-enabled pilot project aims to sense “micro changes” in the behaviour of people with top-secret clearances. If it works, it could be the future…
Issue #156 published 23 Apr 2020
J'accuse recruiters / HR people of pretending to know more about data than they really do. I’m guilty of this, so reading this respectful post by Cassie Kozyrkov was a godsend. You should read this if you don’t know the difference between analytics and statistics; it’s ultra urgent you read it if you think you do.
Issue #156 published 23 Apr 2020
This article has nothing whatsoever to do with Covid-19. But it is perhaps the single best essay I’ve read on people analytics - with the why & how dealt with in a way which stretches your understanding but accessible enough for most of us here.
Issue #182 published 23 Apr 2020
Accessible deconstruction of a critically important topic in HR by Panalyt’s Abdel-rahmen Korichi. This step-by-step guide is an ideal entry point for people wanting to take the next step with People Analytics - if you’re not familiar with it, take a read now. Also a fine example of how to write vendor side content ;-)
Issue #127 published 23 Apr 2020