What examples for successful prediction do we have in social science?

A question that's been bugging me: as social scientists, what can we predict reasonably well?

Following Kuhn's definition for a scientific paradigm, I'm focusing on:
1) social phenomena
2) that we can predict with enough accuracy to be useful
3) using technical skills that require special training.

I've found surprisingly few examples that satisfy all of these criteria. Only three, in fact.

1. Aptitude testing
   Prediction: How well will a person perform in school, a given job, the Army, etc.?
   Technical skill: Psychometrics
   


2. Microeconomics
   Prediction: What effect will various market interventions have on the price, quantity supplied, etc. for a specific good?
   Technical skill: Producer, consumer, and game theory
   


3. Election polling
   Prediction: Who will win in a given election?
   Technical skills: Survey design, sampling theory
   

Can you think of any others? I've got to be missing some.

What areas *should* we be able to predict? We have all kinds of new tools as social scientists. It seems like we should be ready to tackle some new challenges.