...you do know that power of analysis isn't a subjective metric, right?

It's quite literally something that we calculate during the design stage of an experiment.

It's also why methods like the OECD designs include multiple guidance documents specifically to ensure that researchers will have data of sufficient strength to test for the causal effects for which the methods were designed.

There is a very real hierarchy in terms of statistical power, and the methods like those from the OECD Guidelines, along with their regional equivalents are only superceded by studies like DB+RCT

All but the largest prospective cohort studies rank below this, and in the case of. Glyphosate, it's actually hilarious that the AHS, a prospective cohort study, that doesn't have the statistical power to counter the OECD-compliant ones, it does have the power to counter the other lesser observational studies.

Guess what?

The AHS shows no significant link between glyphosate exposure at the current limits and harm.

Until data from studies of comparable power to the OECD methods materializes, there's no justification to change the toxicity metrics of glyphosate.