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Who Questions What Works: When Should We Retest Our Assumptions?

https://towardsdatascience.com/who-questions-what-works-when-should-we-retest-our-assumptions/(towardsdatascience.com)
Successful models are built on assumptions that can become so ingrained over time they are mistaken for reality. This creates a significant risk where we continuously update our methods without ever questioning the fundamental problem-framing, which may have become obsolete. The case of Moody's before the 2008 financial crisis illustrates this danger, as the agency adapted its models but failed to challenge core beliefs about a rapidly changing mortgage market. The true challenge, therefore, is not just monitoring performance but periodically re-evaluating whether the foundational assumptions that led to past success are still valid.
0 pointsby ogg2 hours ago

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