"Beyond a reasonable doubt" seems to suggest that the chance of being wrong is small enough to be safely ignored unless the utilities involved are enormous, a standard that I would expect to require at least around 98% confidence. If people noticed that you were wrong 1 in 4 times that you say there is no reasonable doubt, they would think of you as severely overconfident. The numbers you assign to "preponderance of the evidence" and "clear and convincing evidence" also seem badly skewed, though less so.
One theory I've come up with is that the true value of the term 'beyond a reasonable doubt' is less in the specific percentage value, and more in that it makes for a significant difference in the evidence required to convict someone of a civil tort (in which they are merely required to compensate the harmed party) and the evidence required to predict that someone is likely to commit further criminal actions in the future (and thus it would be reasonable to take additional measures, beyond simple harm-compensation, to deal with the expected future threat); ...
"Do not walk to the truth, but dance. On each and every step of that dance your foot comes down in exactly the right spot. Each piece of evidence shifts your beliefs by exactly the right amount, neither more nor less. What is exactly the right amount? To calculate this you must study probability theory. Even if you cannot do the math, knowing that the math exists tells you that the dance step is precise and has no room in it for your whims." -- from "Twelve Virtues of Rationality", by Eliezer Yudkowsky
One of the more useful mental tools I've found is the language Lojban ( http://www.lojban.org/tiki/Learning ), which makes explicit many of the implicit assumptions in languages. (There's also a sub-language based on Lojban, called Cniglic ( http://www.datapacrat.com/cniglic/ ), which can be added to most existing languages to offer some additional functionality.)
One of the things Lojban (and Cniglic) has are 'evidentials', words which can be used to tag other words and sentences to explain how the speaker knows them: "ja'o", meaning "I conclude", "za'a" meaning "I observe", "pe'i" meaning "It's my opinion", and more. However, there hasn't been any easy and explicit way to use this system to express Bayesian reasoning...
... until today.
Lojban not only allows for, but encourages, "experimental" words of certain sorts; and using that system, I have now created the word "bei'e" (pronounced BAY-heh), which allows a speaker to tag a word or sentence with how confident they are, in the Bayesian sense, of its truth. Taking an idea from the foundational text by E.T. Jaynes, "bei'e" is measured in decibels of logarithmic probability. This sounds complicated, but in many cases, is actually much easier to use than simple odds or probability; adding 10 decibels multiplies the odds by a factor of 10.
The current reftext for "bei'e" is at http://www.lojban.org/tiki/bei%27e , which basically amounts to adding Lojbannic digits to the front of the word:
By having this explicit mental tool, even if I don't use it aloud, I'm finding it much easier to remember to gauge how confident I am in any given proposition. If anyone else finds use in this idea, so much the better; and if anyone can come up with an even better mental tool after seeing this one, that would be better still.
.uo .ua .uisai .oinairo'e