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Sure, and there is also the assumption that good decisions are made on perfect/good data, which is also just an assumption. We can't even define good decisions
by loopz 7y ago
Sure, and there is also the assumption that good decisions are made on perfect/good data, which is also just an assumption. We can't even define good decisions well enough to be sure.
Just because bad data may tend (in hindsight) to yield inaccurate decisions, or decisions based on faulty data, doesn't promote data as the main driver behind sound decisions. That would just be another belief system, and we don't have all possible data or omniscience to prove it!
- manfredo 7y agoNo, you can test and gauge the quality of that data. At this point, you're not really even making a point about whether or not we should introduce biases in our models to make them match our worldview - you're saying the entire endeavor of trying to build a model is worthless. If what you're saying is true, that we can't measure what decisions are successful or unsuccessful, then there's no point in trying to build a model because we no way of knowing whether the model is working or not.
- loopz 7y agoIt is the claim of vendors that their models works. It is irresponsible to just take their word for it, and such tests and critique need be ongoing.