Being a scientist working with Trump under public scrutiny has to be like walking along a arête, a knife like ridge between two mountain peaks. Falling over one side is loosing one’s position (and influence) by clearly contradicting Trump, even when he is wrong. Falling over the other side is saying something that is questionable scientifically, thereby loosing ones credibility, in order to pacify Trump. It seems as if one of the key scientists (Dr. Birx) may have fallen off the ridge on the side of trying to justify Trump’s optimism. If so, we should question everything she says. Credibility is hard to gain, and easy to loose.
Whom am I to say?
Misleading statements on Attack Rate
Can 20% of the Population become infected?
looked at the percentage of the U.S. population who were sickened by flu using two different methods and compared the findings. Both methods had similar findings, which suggested that on average, about 8% of the U.S. population gets sick from flu each season, with a range of between 3% and 11%, depending on the season.
Why is the 3% to 11% estimate different from the previously cited 5% to 20% range?
The commonly cited 5% to 20% estimate was based on a study that examined both symptomatic and asymptomatic influenza illness, which means it also looked at people who may have had the flu but never knew it because they didn’t have any symptoms. The 3% to 11% range is an estimate of the proportion of people who have symptomatic flu illness.”
We vaccinate people for the flu. Looking around the web perhaps 50% of the population gets a flue shot. However there is no vaccine for the current SARS-CoV-2 virus. So the 3% to 20% range of the number above is more like 6% to 40% of the population that is not vaccinated. It should be noted that the H1N1 pandemic in 2009 is estimated to have effected 19.9% of the population.
https://academic.oup.com/cid/article/52/suppl_1/S13/498323
(see last paragraph before the summary)
So yes, 20% of the population COULD (not will, COULD) become infected. It is our job to prevent that.
Again, her statements are at best misleading, playing down the dangers that we confront.
60% to 70% in 8 to 12 weeks is …. (3:46-3:59)
Dr. Birx closes with a statement about no models show 60% to 70% of the US affected within the next 8-12 weeks. Let me start this off by saying that I do not think that the pandemic will get that bad in the US. I have faith that enough people will act appropriately to prevent this. Notice I didn’t base my comment on models. Non the less, we should parse the numbers and ask if this is possible.
Before Dr. Brix spoke John Hopkins reported 68,572 confirmed cases in the US. The population of the United States is roughly 327 million. 70% of that is 229 million. Thus the number of cases would have to grow by a factor of 4,768 (327,000,000/68,572). If (and its a very big if) we were to continue to grow exponentially this would require a little over 12 doublings. (212 = 4,096). 12 doubling in 12 weeks is one doubling a week. Is that possible? Take a look at the data yourself from the WHO, plot it up in excel and fit an exponential to it. So yes, IF the current trends continue, this is mathematically possible. Is it likely? Only if we are very foolish and twiddle our thumbs, refusing to change our behavior, while the epidemic runs through the country.
My issue with Dr. Birx’s statement is the potential that it be interpreted as saying: we don’t have to worry. But with Trump’s wanting to start the company up, and Dr. Birx as his adviser, this is the wrong message to send. At Best Dr. Birx should have qualified the statement by indicating whose models she was considering.
Be concerned, but funnel that concern into actions that help. Practice social distancing, wash your hands and do it right, know the symptoms and if you have them, self isolate. We can do this, but not without some self sacrifice and effort.
The Biggest Issue
Perhaps the biggest problem with Dr. Birx’s statements is she hasn’t shown us her data. Perhaps she would make the argument that she was only talking about the one study she mentioned. But she inferred much more.
Scientists are data based. If a scientist is unwilling to show the data, then they cannot be taken seriously. Statements about models that are hidden from public view are not to be trusted. A scientist is obligated to share their work, their data, and their reasoning so that others can examine, and critique their work. Any scientist that makes statements about the data, that they are unwilling to submit to per review, are not to be trusted. Period, end of story, drop the mic. It is per-review that puts the disinfectant of public disclosure on ones work.
Conclusion
I morn the loss of a trust worthy insider in the Trump inner circle. Perhaps this was all a show to keep her job, thinking that she can more good in her job than outside. But until proven otherwise, I will treat anything that Dr. Brix says with a bit of suspicion. That doesn’t mean that anything she say is false. It just means we need independent verification before we can believe what she says.
Sadly a scientific colleague may have fallen off the arête, and I don’t have a rope to throw to her.