Some forms of biased recall are Bayesian. This is because “recall” is actually a process of reconstruction from noisy data, so naturally priors play a role.
Here’s a fun experiment showing how people’s priors on fruit size (pineapples > apples > raspberries …) influenced their recollection of synthetic images where the sizes were manipulated: A Bayesian Account of Reconstructive Memory
I think this framework captures about half of the examples of biased recall mentioned in the Wikipedia article.
I’d add the best in class drug testing resource: sending a sample to https://drugsdata.org/
GC/MS equipment can distinguish hundreds of substances and report all present, even trace contaminants. Far superior to at-home reagent kits or test strips.
More generally, I find it troubling that you relegated drug testing resources to an appendix, and there only linked to weak at-home kits and a lab providing infrared spectroscopy (much less sensitive than GC/MS). Relatedly, your description of street ketamine as “usually pretty pure” comes off as flippant. It makes me feel you don’t have the reader’s safety in mind, which in turn makes me trust your recommendations much less.