Legislator: Conclusion The recently passed highway bill is clearly very unpopular with voters. █████ ████ █████ ███████ ████ ███ ████████ ██████ █████ █████████ ███ ██████ ████████ ████ ████ ████ ████ █ █████ █████ ██ ███ ████████ █████████
The legislator hypothesizes that voters don’t like the highway bill. She bases this on a correlation: the majority party both supported the bill’s passage and is predicted to lose more than a dozen seats in the upcoming election.
This is a “correlation doesn’t imply causation” flaw, where the legislator sees a correlation and concludes that one thing causes the other without ruling out alternative hypotheses. Specifically, she overlooks two key alternatives:
(1) The causal relationship could be reversed—maybe the majority party’s unpopularity caused them to support the highway bill. Maybe the party supported the popular highway bill as a result of their poor poll performance!
(2) Some other factor could be causing the correlation—maybe the majority party is unpopular for other reasons and they also happen to support the highway bill!
The reasoning in the legislator’s ████████ ██ ████ ██████████ ██ █████████ ██ ███ ███████ ████ ███ ████████
gives no reason ██ █████ ████ ███ █████████ ████████ ███████ █████ ██ █████████ ██ ███ ████████ █████ ███ ███ █████████ ███ ████
focuses on the ██████████ ██ ███ ████ ██ ███ █████████ ██ ███ █████
infers that the ████ ██ █████████ ████ █ █████ ████ ███████████ ███ ████████████
takes for granted ████ ███ ████ ██ █████████ ████ ███████ ███ ██████████ ██████ ██ ██ ██ █████████
bases its conclusion ██ ███ █████ ██ ██████ ███████ ████████████ █████ ████████ █████████ ██ ███ ██████ ████████