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Most business decisions, including this one, are made on incomplete data. Expecting a level of scientific rigor such that conclusions are unassailable is not re
by sokoloff 4y ago
Most business decisions, including this one, are made on incomplete data. Expecting a level of scientific rigor such that conclusions are unassailable is not realistic, as science moves slowly on high-certainty and business moves quickly on low-moderate certainty.
If you don’t like the conclusion your company has reached, it’s going to be a lot faster and more fruitful to change companies than to change their mind.
I love remote overall; I think it needs some amount of in-person to be most effective. I don’t blame companies for making decisions on imperfect [not “meaningless”] information as they try to figure out how to compete.
- yellowapple 4y agoI ain't saying that the data/metrics need to be complete. I'm saying that the data's/metrics' incompleteness ought to be transparently documented if one expects to gain any useful insights from them or from conclusions derived from them.
- rchaud 4y ago> Expecting a level of scientific rigor such that conclusions are unassailable is not realistic A big chunk of the commenter community here is ready to hand the reigns of this decision-making to AI, simply because a data-driven decision must be the correct one. No need to look too deep at the completeness of that data or the methodology under which it was collected and analyzed.