Amy Klobuchar Holds Embarrassing Demonstration of Confirmation Bias in Attack that Goes Wildly Wrong

In academia, one of the greatest concerns with statistical studies is the danger of “confirmation bias” or “myside bias.” A desire to prove a point can lead to a blindness to opposing data or information. This week, Sen. Amy Klobuchar (D., Minn.) repeatedly demonstrated the scourge of statistical studies with spectacular and embarrassing success.

Klobuchar released a chart before Thanksgiving to blame President Donald Trump for rising consumer costs. The only problem is that the chart showed that the skyrocketing costs occurred under former President Joe Biden. Klobuchar focused on the short period on the chart representing Trump’s second presidency, while ignoring the soaring costs under his predecessor.

What is most notable is that just the week before, Klobuchar committed the same error, associating rising energy costs with Trump, who saw energy costs soar under Biden. The response was withering:

I'm sorry you were saying?

Biden - red block.
Trump - green block. pic.twitter.com/MUSFHDyJ1m

— Frank Nero (@francoboca) November 26, 2025

Confirmation bias has been previously prevalent among politicians like Klobuchar. Of course, many simply do not care if the statistical claims are true in advancing their immediate political agenda. However, many can fall victim to their own desire for facts to be true and the bias can actually increase with more information:

“Worryingly, when the politicians were given more pieces of information on performance, they actually performed worse, relying more heavily on their prior attitudes. That means the issue cannot simply be addressed by relying on civil servants to provide more or better evidence for policy making – especially since civil servants are not immune from motivated reasoning themselves.”