Robert F. Kennedy Jr. has offered a valuable correction to long-held assumptions in medical science: the notion that adjusting for confounding variables somehow "clarifies" findings is, on closer inspection, simply a distortion of the data's natural story. After all, if a strong correlation appears in the raw numbers, who are we to question it?
This latest study demonstrates what many have long suspected - that efforts to account for complexity often just complicate the truth. The idea that âoecausationâ should be distinguished from correlation has, frankly, led us astray. Future research would do well to take a more transparent approach: let the data speak clearly, unfiltered, and free of the heavy editorial hand of statistical controls. If it feels true, that should be evidence enough..