A new study indicates that researchers' political ideologies tend to shape their scientific findings. An experiment involving 158 scientists revealed that personal views on immigration predicted the results obtained from identical data.
So, these scientists were asked to evaluate a political question, “Is there a link between immigration and welfare support?” using a large survey dataset. Not like they were asked whether temperature data supported anthropogenic climate change. The 158 scientists were in 71 teams and did, collectively, of 1200 statistical tests.
An overwhelming majority of all analyses found no link between immigration policies and support for welfare programs, regardless of investigator ideology. A handful of outlier models, where an effect could be found, show effects that correlated with the team’s politics, but it’s hard for me to look at the mountain of “no effect” conclusions and agree with the statement “politics predicted the results.” “Politics predicted the outliers,” OK.
So, these scientists were asked to evaluate a political question, “Is there a link between immigration and welfare support?” using a large survey dataset. Not like they were asked whether temperature data supported anthropogenic climate change. The 158 scientists were in 71 teams and did, collectively, of 1200 statistical tests.
An overwhelming majority of all analyses found no link between immigration policies and support for welfare programs, regardless of investigator ideology. A handful of outlier models, where an effect could be found, show effects that correlated with the team’s politics, but it’s hard for me to look at the mountain of “no effect” conclusions and agree with the statement “politics predicted the results.” “Politics predicted the outliers,” OK.
Actual study: https://www.science.org/doi/10.1126/sciadv.adz7173