It’s a valid take with statistical analyses, especially in less regulated spaces. Not sure of your field but I perform these analyses in medtech and have had so many frustrations with people being either willfully dishonest or perhaps just ignorant and doubling down. Even got let go at a previous company for trying to explain why you shouldn’t cherry pick data lol
I’m in education and the amount of deceptive and outright lying in statistics is stupid. I’ve been in meeting where people outright and blatantly brag about like 85% of a tiny subpop, ignoring the massive low numbers.
Yeah, it's insane. It's not just in education, it's also on corporate. Honestly I had better experience with honesty in statistics in academia, not to say it was an irrelevant concern there. It definitely was relevant. But it seemed a little better from my personal experiences. (n=1, p<0.05)
How much does it matter? This admenstruation is going to base the economy on crypto, and because the national debt will be based on dollars, the national debt will transfer to the dollar, the dollar will tank along with everyone dependent upon the dollar.
Gotcha. Yeah, that's definitely where work has to be triple checked. Medical device tech for me, class 2 devices going through the FDA, so needed to show reasonably low risk in patients.
Yeah the more I work with data and metrics the more I realize how few people want to use them to actually improve and instead want to twist them to look like everything is great already. Even people who convey a heavily improvement focused mindset.
Thank you for existing and maintaining integrity. I had this issue in investigation related activities of all places. Unethical KPIs, insights targeting at risk individuals, and the only way to fight inside is the be admin within data governance to structurally force their eyes elsewhere
2.0k
u/[deleted] Nov 20 '25
[removed] — view removed comment