"Managers will say they want to make data-driven decisions, but they really want decision-driven data. If you strayed from this role– e.g. by warning people not to pursue stupid ideas– your reward was their disdain, then they’d do it anyway, then it wouldn’t work (what a shocker). The only way to win is to become a stooge."
In science, a good scientific result can be bad for business. There is often little appreciation for the "science" in data science.
>There is often little appreciation for the "science" in data science.
It feels like even Google falls prey to this at times: they keep redoing the same A/B test until it comes up in favor of the change (or the designer whose pet project it is runs out of political capital, presumably).
"Managers will say they want to make data-driven decisions, but they really want decision-driven data. If you strayed from this role– e.g. by warning people not to pursue stupid ideas– your reward was their disdain, then they’d do it anyway, then it wouldn’t work (what a shocker). The only way to win is to become a stooge."
In science, a good scientific result can be bad for business. There is often little appreciation for the "science" in data science.