The thing they never tell you is that FBML is a straight-up nightmare, and using an iframe is far easier and faster.

Really? So they gave you software upgrades to go from 4G to 5G? I think not.

Are you familiar with the term "false dichotomy"? Besides, using the obvious FDR comparison, the only way out of is war - the public works programs, contrary to what you read in your erroneous grade school textbooks, simply didn't work all that well in terms of recovery.

Instead, let's use the Japan comparison. In that case, we should do:
3. Let all these firms fail, take the hit quickly, and move on.

The Japanese did:
4. Never acknowledge you have a problem, let recession/stagnation go on for 10 years.

IMHO, it's teacher's unions. The complete resistance towards standardized measures of their members' expertise in _doing their jobs_ is appalling, to say the least. Combine that with exorbitant retirement benefits weighing down on school budgets, and it's no wonder the current public schools can't do their job.

Want to reform education in this country? Take back the schools from the unions, or at least provide vouchers for school choice and competition.

I also think we waste too much money on the lowest-performers and don't spend enough on the highest-performers, but that's a different problem.

But it seems like the real problem he's trying to solve is that current ranking algorithms don't take into effect the fact that "users" are not one segment, but rather composed of different segments with differing political, religious, sexual, ethnic, etc. tastes. That is to say, Digg's algorithms are very good if you match a stereotypical Digg profile. If you weren't, well, it wasn't so amazing.

However, this is _hardly_ an unexplored area, and I would further submit that _Amazon_ is surprisingly good at this kind of thing. By analyzing what random samples of users bought (or, in other cases, ranked up or down), they're able to make (IMHO) often-insightful recommendations about what else you should buy. I've had thoughts about how you could make a site that would kick Digg's ass and probably be more valuable to advertisers using tagging, ranking, and some statistics, too.