Statistically, the Truth Is Disappointing

Elliott Thornley · 30 July 2026

We have beliefs. Sometimes, we reflect on them. We think, ‘Sure, I believe X, but is X really true?’. In this sort of situation, given some reasonable assumptions, we can prove that the truth will be disappointing.

More precisely, we can prove:

Noticing that you want X to be true should make you think X is less likely to be true, and noticing that you don’t want X to be true should make you think X is more likely to be true.

More precisely still, let ‘True’ stand for X being true, ‘Believe’ stand for you currently believing X, and ‘Want’ stand for you wanting X to be true. Then we can prove:

Pr(True∣Believe, Want)<Pr(True∣Believe)<Pr(True∣Believe,¬Want)

Here’s one set of assumptions that will do the trick.

1. Wanting doesn’t affect truth.

First assumption: wanting X to be true doesn’t change the probability that X is true.

Pr(True∣Want)=Pr(True)

2. Wanting makes you more likely to believe.

Second assumption: wanting X to be true makes it more likely that you believe X to be true. Potential causes are wishful thinking and motivated reasoning.

Pr(Believe∣Want)>Pr(Believe)

3. Wanting works just as well on falsehoods.

Third assumption: the boost that wanting gives to belief is at least as big when X is false as when X is true.

Pr(Believe∣¬True,Want)−Pr(Believe∣¬True,¬Want)≥Pr(Believe∣True,Want)−Pr(Believe∣True,¬Want)

This seems reasonable, because the processes by which wanting produces belief don’t consult the world. Wishful thinking and motivated reasoning push you toward believing X in the same way whether X is true or false. There’s no reason to expect the boost to be bigger when X is true.

If anything, we should expect the boost to be bigger when X is false. When X is true, the evidence is already in its favor, so wanting has less room to make a difference. When X is false, the evidence is against it, so wanting has more room to make a difference.

4. Absent wanting, belief tracks truth.

Fourth assumption: conditional on you not wanting X to be true, you’re more likely to believe X if it’s true than if it’s false.

Pr(Believe∣True,¬Want)>Pr(Believe∣¬True,¬Want)

This condition is weak. It just says that, with wanting out of the picture, your beliefs track the truth at least a little.

Proof

The idea behind the proof is simple. Your believing X is evidence that X is true because ‘X is true’ is a good explanation for your belief. But if you want X to be true, that suggests a rival explanation: you just believe X to be true because you want it to be true. The availability of this rival explanation means that your belief in X is no longer such good evidence for the truth of X.

The proof itself is pretty mundane, so I let Claude Fable write it out in a footnote.⁠First, wanting produces false belief. By Assumption 2, you’re more likely to believe X if you want it to be true than if you don’t. By Assumption 1, wanting X tells us nothing about whether X is true, so this overall boost is a weighted average of two conditional boosts: the boost when X is true and the boost when X is false. By Assumption 3, the boost when X is false is at least as big as the boost when X is true. And a weighted average of two numbers can only be positive if the bigger of the two is positive. So the boost when X is false must be positive:Pr(Believe∣¬True,Want)>Pr(Believe∣¬True,¬Want)Wanting X makes you more likely to believe X even when X is false.Second, wanting makes belief weaker evidence. How strongly belief points to truth is measured by a likelihood ratio: how much more likely are you to believe X if it’s true than if it’s false? Absent wanting, the ratio is:Pr(Believe∣True,¬Want)Pr(Believe∣¬True,¬Want)By Assumption 4, this ratio is greater than one. Given wanting, the ratio is:Pr(Believe∣True,Want)Pr(Believe∣¬True,Want)Compare the two. Moving from the first ratio to the second changes both top and bottom. By the first step, the bottom goes up. By Assumption 3, the bottom goes up at least as much as the top. And raising the bottom of a top-heavy fraction at least as much as the top drags the fraction down:Pr(Believe∣True,Want)Pr(Believe∣¬True,Want)<Pr(Believe∣True,¬Want)Pr(Believe∣¬True,¬Want)Believing X is weaker evidence for X when you want X to be true.Third, apply Bayes’ theorem: posterior odds equal prior odds times the likelihood ratio. By Assumption 1, wanting leaves the prior odds untouched:Pr(True∣Want)=Pr(True∣¬Want)And we’ve just seen that wanting shrinks the likelihood ratio. Same prior odds, smaller likelihood ratio, smaller posterior:Pr(True∣Believe,Want)<Pr(True∣Believe,¬Want)Your wanted beliefs are less reliable than your unwanted beliefs.Finally, everything you believe is either wanted or unwanted. So the reliability of your beliefs overall is a weighted average of the reliability of your wanted beliefs and the reliability of your unwanted beliefs. Provided that some of your beliefs are wanted and some unwanted, the average falls strictly between the two:Pr(True∣Believe,Want)<Pr(True∣Believe)<Pr(True∣Believe,¬Want)That’s the result.

Conclusion

Statistically, the truth is disappointing. If you want X to be true, that should make you think X is less likely to be true. If you don’t want X to be true, that should make you think X is more likely to be true.

Pr(True∣Believe, Want)<Pr(True∣Believe)<Pr(True∣Believe,¬Want)