KDnuggets explains Bootleggers and Baptists in data-driven decisions
Updated
Updated · KDnuggets · May 5
KDnuggets explains Bootleggers and Baptists in data-driven decisions
5 articles · Updated · KDnuggets · May 5
The article says evidence-led staff and colleagues seeking numbers to justify pre-set choices can back the same outcome while using identical data-driven language.
It applies Bruce Yandle's 1983 regulatory economics idea to analytics, warning that cherry-picked metrics, selective timeframes and omitted counter-evidence can distort supposedly objective decisions.
KDnuggets says the key test is how people react when data challenges their preferred result, urging organisations to ask who benefits and why particular data was chosen.
As AI generates perfect 'evidence,' how can we ever trust data-driven decisions again?
When data becomes a weapon, are you unknowingly providing the cover for another's hidden agenda?
Are ethical regulations on AI and climate just a clever disguise for corporate monopolies?