There's more to it too.

From a Q post regarding the cooperation of "Health" and Government to push vaccines - https://aspe.hhs.gov/cdc-influenza-deaths-request-correction-rfc

Post #4306

"US data on influenza deaths are false and misleading. The Centers for Disease Control and Prevention (CDC) acknowledges a difference between flu death and flu associated death yet uses the terms interchangeably. Additionally, there are significant statistical incompatibilities between official estimates and national vital statistics data. Compounding these problems is a marketing of fear—a CDC communications strategy in which medical experts "predict dire outcomes" during flu seasons."

APPLY TO COVID-19 DATA REPORTS.

Q

Further from this same article:

At the 2004 "National Influenza Vaccine Summit," co-sponsored by CDC and the American Medical Association, Glen Nowak, associate director for communications at the NIP, spoke on using the media to boost demand for the vaccine. One step of a "Seven-Step `Recipe' for Generating Interest in, and Demand for, Flu (or any other) Vaccination" occurs when "medical experts and public health authorities publicly...state concern and alarm (and predict dire outcomes)—and urge influenza vaccination" (www.ama-assn.org/ama1/pub/upload/mm/36/2004_flu_nowak.pdf). Another step entails "continued reports...that influenza is causing severe illness and/or affecting lots of people, helping foster the perception that many people are susceptible to a bad case of influenza." Preceding the summit, demand had been low early into the 2003 flu season. "At that point, the manufacturers were telling us that they weren't receiving a lot of orders for vaccine for use in November or even December," recalled Dr Nowak on National Public Radio. "It really did look like we needed to do something to encourage people to get a flu shot." If flu is in fact not a major cause of death, this public relations approach is surely exaggerated. Moreover, by arbitrarily linking flu with pneumonia, current data are statistically biased. Until corrected and until unbiased statistics are developed, the chances for sound discussion and public health policy are limited.