Yale Fail: Researcher’s claim Covid 19’s political discrimination; closer look debunks the claim

Yale’s article begins, “Since the early days of the COVID-19 pandemic, public health officials have warned that some of us are at higher risk of severe outcomes from the virus, due to factors such as age or preexisting medical conditions.

New research from Yale SOM points to another factor that puts people at greater risk of dying from COVID-19: party affiliation. The study finds that excess deaths during the pandemic were 76% higher among Republicans than Democrats in two states, Ohio and Florida. What’s more, the partisan gap in death rates increased significantly after vaccines were introduced.”

What Yale fails to mention here is that older populations reside in Florida and Ohio; and both states simply have more Republicans in general. In addition, the two states are not compared with any others for context. Are researchers saying two states vs….the other 48? Or a smaller number?

Yale continues, “The research was conducted by Yale SOM’s Paul Goldsmith-Pinkham and Jacob Wallace and Jason L. Schwartz of the Yale School of Public Health.

To Goldsmith-Pinkham, the sharp divergence in excess death rates that emerged in the post-vaccine period “is pretty striking…and the magnitudes are quite large.” While the research doesn’t definitively prove that low vaccine uptake among Republicans explains the mortality gap, “it points to this as a potential mechanism. The question of whether and how much party affiliation affects COVID-19 outcomes has been widely debated among public health scholars and isn’t easy to answer. Some research has found that the death toll from COVID-19 has been higher in red counties than blue ones, but analyzing data at the county level makes it hard to be sure that party alone explains the differences. It’s theoretically possible that other factors about those counties, such as weather or average household size or availability of health care, could be more significant contributors to the death rate than how they voted.”

Yale states, “theoretically possible” as to … weather or household size could increase mortality! Both weather and household size — are lumped in with healthcare availability for rates of death. See the connection? We don’t either. The researchers seemed to assume that “party alone explains the differences.” but they quietly admit they’re not really sure of anything.

Yale goes on, “Goldsmith-Pinkham and his co-authors decided to take a different approach that would avoid these pitfalls. They gathered nearly 600,000 Ohio and Florida death records from 2018 to 2021 and matched those records to voter registration data from 2017. This allowed them to determine the party affiliation of each person who died.”

One glaring omission here is the integrity of the voter rolls. People register in different places all the time; and fail to take themselves off in others. This fact alone completely negates the results of this study.

“Then, they used data from 2019 as a benchmark to determine expected death rates based on age, time of year, location, and party affiliation. In other words, they calculated how many Republicans and Democrats in a given age bracket and a given county would normally die in a given season. Anything above or below that 2019 “normal” was considered an “excess death.

The excess death framework had two important strengths: It allowed the researchers to study the effects of political party at an individual rather than geographic level, and it provided a built-in means of accounting for differences of age and location.

When the researchers looked at excess deaths before and after the pandemic, the results were sobering. Tragically, but not surprisingly, both Republicans and Democrats experienced a sudden uptick in mortality in during the first year of the pandemic. While excess death rates were slightly higher among Republicans than Democrats, “both are dying at really high rates over this period,” Goldsmith-Pinkham says.”

A major flaw here is that mortality diagnoses – regardless of party – was “with” or “from” Covid 19. If you had pneumonia but tested positive for Covid, your malady was Covid; if someone died from pneumonia, they were listed as died from Covid. The uptick in mortality may be mistaken here for uptick in false Covid diagnoses. Our prognosis is that there is no way to know for certain – which again, negates the study.

“The fates of Republicans and Democrats began to diverge markedly after the introduction of vaccines in April of 2021. Between March 2020 and March 2021, excess death rates for Republicans were 1.6 percentage points higher than for Democrats. After April 2021, the gap widened to 10.6 percentage points.

Does this mean that differing vaccine uptake levels between Republicans and Democrats caused the mortality gap? Goldsmith-Pinkham says this study alone doesn’t prove that’s the case. However, he believes it does offer “pretty good evidence” that vaccines are at least an important part of the story.”

What Yale fails to do here is re-articulate the metrics of the study: are they now including vaccination rates to age, location, political party and time of year? No one knows.

Lastly Yale says, “And if indeed that’s the case, it suggests that policy makers should be looking at vaccine-promoting interventions specifically targeted at Republicans, Goldsmith-Pinkham says: “It gives you a sense of where you should be looking and who you should be targeting if you want to solve some of these problems.”

Here’s the biggest kicker for ignorance: Yale funded this study in the first place.

From the PDF – https://www.nber.org/system/files/working_papers/w30512/w30512.pdf

“We gratefully acknowledge support from the Tobin Center for Economic Policy at Yale University and the Yale School of Public Health COVID-19 Rapid Response Research Fund. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.” [emphasis added]

A study brought to you by Yale experts and….funding from Yale.