Some of the work requires an understanding of a different lifestyle; if you can't see the potential issues with prosecuting a robbery by a prostitute and her armed male friend, or you can't predict that a domestic violence victim will have a non-credible recantation, you'll need some other education.

• "The people who buy the services of a prostitute generally don't want to go on record saying so, which they would have to do at some point to prosecute such a robbery. This is either because they're married, or the shame associated with using one."

• "Victims of domestic violence have a lot invested in the relationship, and, no matter how much they feel hurt by the abuse, they will not want to tear apart the family and cripple their spouse with a felony conviction. This inner conflict will be present when the victim tries to recant their testimony."

Did that really require passing the learner off for some other education? Or did I get the explanation wrong?

Anyway, I'm interested in the article. My penultimate effort to explain something to many people - Bayes' Theorem to lawyers - was a moderate failure; my last effort to explain something less mathy to a crowd was a substantial success. (My last experience in explaining something, with assistance, to 12 people was a complete failure.)

I'd actually tried teaching information theory to my mom a week ago, which involved starting with the Bayes Theorem (my preferred phrasing [1]). She's a professional engineer, and found it very interesting (to the point where she kept prodding me for the next lesson), saying that it made much more sense of statistics. In about 1.5-2 hours total, I covered the Theorem, application to a car alarm situation, aggregating independent pieces of evidence, the use of log-odds, and some stuff on Bayes nets and using dependent pieces of evidence.

[1] O(H|E) = O(H) * L(E|H) = O(H) * P(E|H) / P(E|~H) = "On observing evidence, amplify the odds you assign to a belief by the probability of seeing the evidence if the belief were true, relative to if it were false."