On Vaccine Mandates, 48% Believe Scientists Likely to Falsify Data To Support Their Personal Views

When it comes to vaccine mandates and related topics, 48% of voters consider it likely that scientists would falsify their data to support their personal views of what should be done. A Scott Rasmussen national survey found that 41% consider it unlikely and 11% are not sure.

Those totals include 21% who say it is Very Likely scientists would falsify their data and 19% who say it’s Not at All Likely.

Most Republicans (67%) consider it likely while most Democrats (57%) consider it likely. Independent voters are evenly divided.

Data released earlier showed that 47% of voters believe Dr. Anthony Fauci makes his recommendations primarily on scientific data and research. Thirty-three percent (33%) disagree and think his recommendations are based upon his own personal and political views.

Forty-eight percent (48%) believe the CDC has generally provided reliable and fact-based guidelines during the pandemic. Thirty-two percent (32%) think it has generally acted in a partisan political manner and 20% are not sure.

Looking back, 58% of voters believe that shutting down businesses and locking down society did more harm than good. A Scott Rasmussen national survey found that 35% disagree and 17% are not sure.

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Note: Neither Scott Rasmussen, ScottRasmussen.com, nor RMG Research, Inc. have any affiliation with Rasmussen Reports. While Scott Rasmussen founded that firm, he left more than seven years ago and has had no involvement since that time.

Question:

When it comes to vaccine mandates and related topics, how likely is it that scientists would falsify their data to support their personal views of what should be done?

21%    Very likely

27%    Somewhat likely

22%    Not very likely

19%    Not at all likely

11%    Not sure

Methodology

The survey of 1,200 Registered Voters was conducted online by Scott Rasmussen on December 14-15, 2021. Field work for the survey was conducted by RMG Research, Inc. Certain quotas were applied, and the sample was lightly weighted by geography, gender, age, race, education, internet usage, and political party to reasonably reflect the nation’s population of Registered Voters. Other variables were reviewed to ensure that the final sample is representative of that population.