> probably a decision made by a product team who have the data to back up their decisions lol.. I don’t know how, but this wool has been pulled over everyones’

> probably a decision made by a product team who have the data to back up their decisions lol.. I don’t know how, but this wool has been pulled over everyones’ eyes. These “data driven” decisions are often anything but. The people making them usually don’t even have sufficient background in stats to be capable of making them. They just plug and chug in some NHST framework or A/B testing framework, making all kinds of test errors or even outright cheating since their job incentives, much like failed research incentives, requires a constant stream of new positive results that causally drive growth & engagement. Since they “have to” find these things, then anything which can be politically argued into the product will be made to “have the data to back it up” (even if it doesn’t really). The bigger the company, the worse this effect gets.