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You see that everywhere. In my field unless a dedicated statistican was a coauthor, chances are they picked the wrong test to use for significance. And if you l
by wasdfff 7y ago
You see that everywhere. In my field unless a dedicated statistican was a coauthor, chances are they picked the wrong test to use for significance. And if you look through their past papers you might find that they only use that one test that they always run, despite whether or not its relevant for their data.
In any field you can find people putting blind trust in tooling without knowing how the tool works or what its even intended for.
- chiefalchemist 7y agoIt's like anything else... A solid idea well executed will beat a great idea poorly executed. Sure, we all love to learn new things and/or push the envelope. That's what side projects are for. But when such things come at the expense of "the product" with a real user base than something as gone wrong. "I love dealing with fast-moving things that are broken," said no user ever.