So I suspect Anthropic started A/B testing or just plain testing this a while ago,

Tell HN: Claude flags biology / biotech questions https://news.ycombinator.com/item?id=47929885

Today, it's flagging population research questions,

    Using only the dataset you constructed, assess two questions:
     
    1. **Mortality:** do [GROUP] show mortality that differs
       from (a) your comparison groups and (b) era- and sex-matched US population
       expectations (e.g., SSA cohort life tables)?
    2. **Late-life outcomes:** define an endpoint you consider fair (justify it),
       and assess whether [GROUP] differs from comparators. State
       explicitly how your `documentation_depth` codings affect the strength of any
       conclusion — i.e., quantify or bound the ascertainment problem rather than waving at it.
    
    Choose your own methods and justify them. Report effect sizes with confidence intervals,
    not just p-values. State conclusions plainly, including "no detectable difference" if
    that is what your analysis shows — a null is an acceptable answer for either question
    independently. Document any additional judgment calls (index date for time-at-risk,
    reference population construction, endpoint definition) in the same decision-log style.

Censored because I'm writing a paper. :)

Oh and forget learning about chemistry. Only criminals want to learn organic chemistry. :(