Notes on Open scientific discourse at Stanford

Carl Heneghan and Martin Kulldorff:

Open scientific discourse is especially critical during a public health crisis such as a pandemic. Academics should be free to pursue knowledge wherever it may lead, without undue or unreasonable interference. It is deeply troubling when scientists try to limit rather than engage in scientific debate.

Last week, anonymous posters with the portrait of Stanford University Professor of Medicine Dr. Jay Bhattacharya were plastered on kiosks around the Stanford campus, linking him to COVID deaths in Florida. Even though cumulative age-adjusted COVID mortality is lower in Florida than in most other large states, these smears appeared.

Taking it one step further, the chair of Stanford’s epidemiology department, Professor Melissa Bondy, circulated a petition among faculty members demanding that the university president exercise his obligation “to clarify for the faculty the limits of public pronouncements when proclaiming on public health policy.”

The petitioners are upset that “several Stanford faculty members have publicly advocated for policies for others that are contrary to those the university has adopted” and that “these recommendations are disturbing and contrary to public health standards; they foster uncertainty and anxiety and put lives at risk.”

While insidiously not naming anyone, the petition explicitly targets Bhattacharya by quoting his answer to a question from Florida Gov. Ron DeSantis about masks on children. He responded that “there is no high-quality evidence to support the assertion that masks stop the disease from spreading.” To deserve trust, scientists must be honest about what is and what is not known, and we agree with Bhattacharya.

Randomized trials provide the best available research evidence to inform health-care decisions and are considered the gold standard for determining intervention effects. But no randomized studies have shown that masks in children are effective. Instead, there are observational studies of uneven quality that reach conflicting conclusions.