I suggest that a primary cause of confusion about the distinction between "belief", "truth", and "reality" is qualitative thinking about beliefs.

Consider the archetypal postmodernist attempt to be clever:

"The Sun goes around the Earth" is true for Hunga Huntergatherer, but "The Earth goes around the Sun" is true for Amara Astronomer! Different societies have different truths!

No, different societies have different beliefs. Belief is of a different type than truth; it's like comparing apples and probabilities.

Ah, but there's no difference between the way you use the word 'belief' and the way you use the word 'truth'! Whether you say, "I believe 'snow is white'", or you say, "'Snow is white' is true", you're expressing exactly the same opinion.

No, these sentences mean quite different things, which is how I can conceive of the possibility that my beliefs are false.

Oh, you claim to conceive it, but you never believe it. As Wittgenstein said, "If there were a verb meaning 'to believe falsely', it would not have any significant first person, present indicative."

And that's what I mean by putting my finger on qualitative reasoning as the source of the problem. The dichotomy between belief and disbelief, being binary, is confusingly similar to the dichotomy between truth and untruth.

So let's use quantitative reasoning instead. Suppose that I assign a 70% probability to the proposition that snow is white. It follows that I think there's around a 70% chance that the sentence "snow is white" will turn out to be true. If the sentence "snow is white" is true, is my 70% probability assignment to the proposition, also "true"? Well, it's more true than it would have been if I'd assigned 60% probability, but not so true as if I'd assigned 80% probability.

When talking about the correspondence between a probability assignment and reality, a better word than "truth" would be "accuracy". "Accuracy" sounds more quantitative, like an archer shooting an arrow: how close did your probability assignment strike to the center of the target?

To make a long story short, it turns out that there's a very natural way of scoring the accuracy of a probability assignment, as compared to reality: just take the logarithm of the probability assigned to the real state of affairs.

So if snow is white, my belief "70%: 'snow is white...

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