How big data has created a big crisis in science

New discoveries that are actually false seem likely to cause a lot of confusion leaving you worse than wrn you started.

If the effect size is large, then you can be pretty sloppy with your statistics - in some ways it doesn’t matter because it’s almost a qualitative/binary difference.

Obviously statistics becomes much more important when the effect size shrinks and you are squinting at some data trying to see if a 20% difference is real or not.

Due to the poor foundations in biosciences (everything from the assays themselves, lack of assay replication, errors in interpretation) engineering/optimizing something can be fiendishly hard.

Science would first grind to a halt, reverse itself, then descend into a thousand-year dark age of sophistry, apologetics, and superstition. Alexander Fleming and Jonas Salk would be laughingstocks, Vaccinations would be banned and plagues would visit upon the Earth. Norman Borlaug would be denounced, crop varieties would be chosen by astrology, and famine would be visit upon the Earth. The guilty party for any crime would be determined by Phrenology or Theranos blood tests, the punishment decided by Jungian psychoanalysis, and injustice would rule the Earth.

I only say this because this is more or less what happened during the Mao's Chinese Cultural Revolution, Pol Pot's Khmer Rouge, or the European Dark ages. Historically speaking, it's a very bad sign when science is outright rejected and it most likely means millions of people are about to be murdered, and then millions more are going to starve to death or die of preventable diseases.