Iteration Dogma
The Iteration Dogma is the belief that adapting to evidence is superior to picking the right prior.
The Iteration Dogma is the belief that adapting to evidence is far superior to picking the right prior. It is commonly employed in the startup-mindset of searching for Product-market fit where it is considered boringly true.
Examples
[edit | edit source]- Searching for product-market fit is the primary example.
- Bayesian updating under prior-support, distinguishability of hypotheses (particularly truth from alternatives in the KL divergence sense)
- Popper-style empirical science with falsifiable conjectures formed which are iteratively refined through targeted refutation
Where It Does Not Work
[edit | edit source]The iteration dogma is a bad idea to employ in fields where global convergence are not possible. e.g. finding the roots of a polynomial employing Newton-Raphson will result in slow convergence if in the wrong place.