And sad. Same thing happens in data science now - people are happy to have any number regardless of correctness. They just need something to report on and keep the work going.
As long as data science remains subservient to Product, the inevitable result is cherry picking and post hoc rationalizing of some PM's intuition. To blame is the "embedded" model in which DS works within (and takes direction from) a cross functional team driven by a PM.
This is hilarious.