Yeah, YOU would buy anything about Pizzagate because you are a not very bright conspiracy theory mongering Trumpanzee.
Nice how the AI sites keep a history of your inquires so you can go back and ask for further clarification about your original inquiry. 'Inquiry', look up the definition. Give it a shot instead of posting your unexamined beliefs pulled directly from your ass.
Let begin with the obvious. Facts and data that conflict with what you believe are dismissed by you. Science and data do not depend on beliefs. Rather hypotheses that ASK the question; 'it this is true what would we expect to follow?'
Sorry you asked?
How was the data compiled, how reliable is the data, for all of the above? (My question, could have been yours if you were a serious person interested in an answer.)
The data for these studies was compiled using a novel linkage of individual-level voter registration records and mortality data, and is considered reliable by the scientific community, though subject to certain limitations inherent in observational research.
How the Data Was Compiled
Researchers from institutions such as Yale University and the National Bureau of Economic Research (NBER) primarily used a specific methodology for their analysis:
Data Linkage: They cross-referenced individual voter registration records from a pre-pandemic year (e.g., 2017) with death records from subsequent years (e.g., 2018 to 2021) in specific states, such as Florida and Ohio. This allowed researchers to sort mortality data by declared political party affiliation.
Defining Political Affiliation: In Florida, party affiliation was based on party registration. In Ohio, it was determined by whether an individual voted in a specific party's primary election within the preceding two calendar years.
Calculating Excess Deaths: Researchers calculated "excess death rates" as the percentage increase in deaths above expected mortality rates based on historical data (pre-2020). This method controls for pre-existing differences in mortality, seasonality, geographic location, and age.
Controlling Variables: The analyses controlled for various demographic and socioeconomic factors (age, race, income, education level, health status, etc.) to isolate the association between political affiliation and excess deaths.
Time Period Comparison: The studies compared death rates in two distinct phases:
Pre-Vaccine Period (March 2020 to March 2021): When vaccines were unavailable or not widely eligible to all adults.
Post-Vaccine Period (After April/May 2021): When vaccines were widely available to the adult population.
The data is widely considered reliable and the studies were published in peer-reviewed scientific journals like JAMA Internal Medicine, indicating a high standard of scientific rigor.
Strengths:
Large Sample Size: The studies often included hundreds of thousands of death records, providing a robust dataset for analysis.
Individual-Level Data: Linking individual voter data to death records allowed for a more precise analysis than previous county-level studies, avoiding the "ecological fallacy" (incorrectly inferring individual behavior from group-level data).
Controls for Confounding Factors: The methodology controlled for age, location, and pre-existing mortality rates, strengthening the conclusion that the widening gap was related to pandemic-specific factors like vaccination status.
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