EXCLUSIVE: Scientists, Economists Urge Trump To Bring On Statistician To Avoid Getting Duped By Bad Health Models

MANDEL NGAN/AFP via Getty Images

Daily Caller News Foundation logo
Chris White Tech Reporter
Font Size:
  • 70 scientists and economists are urging President Donald Trump to include professional statisticians on the White House’s coronavirus task force to prevent the team’s researchers from being led astray by bad COVID models. 
  • The academics are also worried that the White House’s task force is leading the president’s administration astray, in particular on the importance of flattening the virus’s curve, which they say is important because it buys time to create therapeutics. Such policies should not be sold as a permanent solution, they argue.
  • One of the scientists is planning the Institute for Health Metrics and Evaluation (IHME) models, which projected on April 1 that 262,029 hospital beds would be needed on the peak date of the coronavirus.

Dozens of scientists, economists and medical experts are urging President Donald Trump to add a professional statistician to his coronavirus task team because they worry the models his administration are relying upon could potentially lead his administration astray.

A slate of academics provided the Trump administration with a letter Tuesday listing several ideas the president could use to help boost his team’s pandemic response. They believe adding an expert statistician to the COVID-19 task team could help Trump avoid relying on poor models that don’t reflect the real world.

“Having an expert statistician as a key part of the President’s team is an urgent matter,” they wrote in a letter obtained by the Daily Caller News Foundation. “Such an immediate addition will reduce the chances of being misled by speculative computer models and other data.”

The letter’s signees cite two articles to help explain why they think models get it wrong without a statistician’s help.

They cite an April 23 Daily Signal article from retired epidemiologist James Enstrom who says in the piece that “all other COVID-19 models are grounded in important assumptions about which there is currently little knowledge.” Enstrom, one of the letter’s signees, also suggests that “some deaths are being classified as COVID-19 deaths even when COVID-19 is not the underlying cause.”

Enstrom also mentions the Institute for Health Metrics and Evaluation (IHME), which projected on April 1 that 262,029 hospital beds would be needed on the peak date of the coronavirus’s spread in the United States. The researchers behind the IHME model eventually dropped that projected number down by 58 percent to 140,823 on April 6.

WASHINGTON, DC - APRIL 27: U.S. President Donald Trump listens as Vice president Mike Pence answers questions during the daily briefing of the coronavirus task force in the Rose Garden of the White House on April 27, 2020 in Washington, DC. Today's task force briefing is the first since Friday. (Photo by Win McNamee/Getty Images)

(Win McNamee/Getty Images)

The letter was sent to Trump administration officials Tuesday, John Droz, a physicist who authored the memo, told the DCNF. “We support the President and wanted to give him several constructive suggestions going forward — and these are evidently somewhat different from what he is hearing from the Coronavirus Team,” Droz said.

Statistician Stanley Young, climatologist Patrick Michael, and immunologist Jonathan Bernstein are among the 70 scientists and academics who signed the letter asking the administration to strengthen the task force. Michaels worked as a senior fellow in environmental studies at the Cato Institute until 2019, and Bernstein is a clinical immunologist at Bernstein Allergy Group in Ohio.

Young, for his part, is a member of the Environmental Protection Agency’s Science Advisory Board and recently made waves after he criticized an April 4 Harvard University study drawing an association between particulate matters and coronavirus deaths. “The paper is written in a way that strongly implies cause and effect,” he told the Washington Examiner in April, referring to the research.

Young and the other academic’s also provide other potential pieces of advice for the administration, including emphasizing the importance of flattening the curve, a policy designed to slow the spread of coronavirus such that it flattens out the number of cases over time.

In addition, they want the Trump administration to refrain from imposing “one-size-fits-all mandates” and instead allow states to stagger when they reopen. (RELATED: Death Tolls Jump In Cities Hit Hardest By Coronavirus As COVID Fears Lead People To Forgo Hospital Visits: CDC Data)

The pandemic has killed more than 85,000 people in the United States thus far.

“The main benefit is that it will enable higher efficacy COVID-19 therapies to come online (which will happen considerably sooner than vaccines will),” the letter explains, noting that flattening the curve is not a permanent solution. “The public needs to be much better advised as to this rationale for short-term flattening.”

They also want Trump’s task force to keep better track of COVID-19 complications and deaths. (RELATED: Researchers, Lawmakers Cry Foul After Harvard Quietly Edits Study Suggesting Pollution Leads To More COVID Deaths)

“It would be informative if deaths related to lock-downs, higher prices, reduced incomes was kept track of,” they write, adding that it is not helpful when medical professionals sometimes lump deaths from other consequences into the coronavirus category. Misstating such deaths can make for bad policy, they argue.

Neither the Centers for Disease Control and Prevention nor the White House’s COVID team have responded to the DCNF’s request for comment regarding the letter.

Recent reports suggest coronavirus death tolls are much higher than official numbers suggest.

Data from the CDC show total deaths are nearly 50% higher in states slammed by the coronavirus pandemic. Death numbers in New York, Maryland, New Jersey, Michigan, Massachusetts, Illinois and Colorado leaped between March 8 and April 11, data show.

The data appear to illustrate how the pandemic is causing an increase in deaths, perhaps as a result of people forgoing hospital visits for what would otherwise be treatable conditions. The New York Times initially reported on the data on April 28, suggesting that the CDC’s findings show that coronavirus death tolls are likely higher than official counts.

All content created by the Daily Caller News Foundation, an independent and nonpartisan newswire service, is available without charge to any legitimate news publisher that can provide a large audience. All republished articles must include our logo, our reporter’s byline and their DCNF affiliation. For any questions about our guidelines or partnering with us, please contact