4 ms·

The solution to a bad model is more models :). I'm joking but serious. "All models are wrong, but some are useful."

• dwattttt 2y ago
  Although also responsive, the solution to incorrectly applying models _isn't_ to get more models, it's to understand the mistakes being made in applying them.
  • xpe 2y ago
    True. I'll add a few points: - Statistically, more models tends to be better (in the same sense that more information is better) under the assumption that people can tell better from worse. - I like how you talk about _applying_ models instead of _using_ models. It is an easy one word change that (to me at least) emphasizes the choice points of: (a) selecting the model; (b) selecting parameters; (c) interpretation. - All models (by definition) are unrealistic in some way. If a model operates at a useful level of abstraction, inaccuracies at lower levels may be acceptable. In fact, such inaccuracies may be the key to making the model tractable and efficient.