Discussion about this post

User's avatar
Charles Hooper's avatar

There is a pattern that is hard to discern for outsiders, but it's there.

Early in the COVID-19 pandemic Jay Bhattacharya and others tested for the presence of SARS-CoV-2 antibodies in Santa Clara County, where Stanford University resides. The findings of the study? The prevalence of antibodies implied that the number of infections was much higher than previously estimated. Further, given that the death rate was known, the results suggested that the disease was much less deadly than previously estimated.

These were not the results the "authorities" wanted and the study and the study's authors were viciously attacked. I talked to Jay during this time and he was deeply affected.

The study's methodology was successfully defended and Jay, a true scientist, stuck by the results. In hindsight, the study's results were correct. In an amazing turn of events, Jay went on to become the head of the NIH.

But the point is that science isn't objective and impartial. If you generate a result that isn't acceptable to the "authorities" and the "accepted way of thinking," you will be subjected to strong pressures to change or renounce your results.

Consider climate science, police killings of minorities, nuclear power, recycling, organic farming, minorities and academic success, etc.

Expand full comment
Lee Crawfurd's avatar

GPT's explanation sounds to me that people pointed out that they had missed some of the benefits in their calculation so they added them in. I don't see any indication in the post that the adjustment was politically motivated.

Expand full comment
76 more comments...

No posts

Ready for more?