jmoss20
Joined 12 years ago
Joined 12 years ago
> just that the blanket argument "X shouldn't get to be secret because I don't think they have a legitimate reason" doesn't differentiate between these two cases.
Not only these cases -- that argument won't differentiate between any cases ;-).
Better I think to make sure we really understand the arguments being made. Good chance the real argument isn't quite _that_ bad.
Bayes is great for verifying self-consistency: given some priors and some evidence, it produces exactly one set of credences. If you've somehow got a different set, you've gone wrong somewhere (and can be Dutch-booked).
What it won't give you is a full theory of rationality--but IMO this is not a problem with Bayes in particular. No theory will. There /must/ always be some free variable that prevents landing at exactly one set of credences. All theories that disagree come with very strange (and not very believable) implications.
That obviously isn't the problem with airplane manufacturing, and maybe not for car mechanics either. But it's totally endemic in the consumer world.
"Do not operate while driving" on car HUDs. "Do not consume if pregnant" on perfectly safe OTC medications. "Do not continue to ride after a crash" on bike frames.
It's not surprising most of this is just ignored now -- there's no information content. The documentation is nothing more than a list of things for which the manufacturer would like not to be liable, and the marginal cost of adding to that list is ~0. It will grow until we run out of room in the manual / space on the packaging.
"Store between 68 and 75 F." Or what? Is that a "must follow or else death", or a "it may reduce efficacy 0.5%" or a "we've never run a sufficiently powerful study under any other conditions, but there's no theoretical reason it should matter"? It matters quite a bit to me which!
I don't see how we can hope to have good-faith communication under such a heavy threat of litigation. I would not be surprised if /that/ turns out to be relevant to the Boeing issue, even if the rest is unrelated.
Clearly which things you choose to measure should be a function of how certain you are about them, and how much you stand to lose if you get them wrong.
There are mysterious boogiemen in performance optimization, but this isn't really one of them.
Obviously the military provides some sort of economic lower bound. But it also applies a pretty harsh upper bound, and has all sorts of other effects that you would expect to push the mean down.
But FWIW I do not think the effect is even close to strong enough to explain the results in the article.
Another upside, in retrospect: you end up getting to see, up-close, a huge range of the social/cultural/political landscape.
It's hard to demonize an outgroup much when you at times were that outgroup -- or were at least, in the abstract, some outgroup. You end up forced to confront (deep-down, maybe mostly unconsciously) the arbitrariness and...malleability of a lot of things. You end up with a lot of tolerance. I'm thankful I had that experience, even if it was at times not particularly fun.
The educational rigor across different districts is massive. Many military kids get to sample from it a lot of times (possibly even with a bias for FCPS in particular!); other kids get to sample it ~once. There is probably some huge reversion to the mean at play here.
Families PCS (move) extremely often -- sometimes every school year, frequently every few years. Some places have DoD schools "on base", some do not, with students instead attend the local public schools. Some of those public schools are majority military kids, some are not.
DoD schools may have a consistent curriculum (not sure), but public schools across states/countries certainly do not. Constant moves mean students get a fractured, redundant curriculum. (Comically, I recall learning about the "Explorer" in History class no less than three times.)
Some bases are located in well-off areas with great public education, many others are not. Students might find themselves one year learning algebra, the next back to basic multiplication. Schools tend to be stubbornly inflexible and will not make accommodations on their own. Extremely attentive and pushy parents may get weak accommodations (e.g., letting students moving full grade levels up/down; something difficult to explain later), but it's rare.
Added to this is impact of constant social upheaval + stress of parents deployment, lack of lasting friendships, etc.
This is all to say -- you would not expect this population of kids to do well academically! The fact that they seem to (as measured in these tests at DoD schools) should be really surprising, and probably has little to do with the DoD schools themselves. They're after all only responsible for part (often a small part) of these kids' education.
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My main guesses at the real drivers here are:
1. (As mentioned in the article) It's a different world on base. Parents have a massive stake in their children's behavior -- and the students know this. No one wants their parent to get an earful from their CO, and it does happen. (This is most pronounced at DoD schools, but also extends off base.)
Drug and alcohol use is exceedingly rare, due to the above + how serious an offense it is on base.
It's true also that there's a modest baseline of economic + social support. Maybe not as much as the article suggests, but it's not nothing.
2. Simple reversion to the mean. The DoD schools are full of kids with a really diverse set of educational experience. Maybe some of the good experiences are even a bit "sticky" -- habits and skill learned transferring over to new environments, maybe even bad ones. Maybe it's not surprising that that population wins vs. the baseline (where kids only get a homogenous, mostly-good or mostly-bad experience). - If the good skills and habits are "contagious", maybe DoD schools even help spread them across this population.
3. The tests are mostly measuring the lower portion of the distribution. Well-off schools will have most students clipping the top end of the measurement. Many DoD students attend those schools! (At least for a time.)
This is going to seriously amplify (2), but also (1) and other things to the extent that they improve (or remove from the sample) the worst-off students.
-- SICP
I studied both in undergrad. They're more similar than different.