A lot of this has to do with the way we "score" forecasts. Applying some kind of uniform weighting over forecasts is the natural, and wrong, way to think about things. Nassim Nicholas Taleb (black swan, fooled by randomness) has written about his trading strategy. At his fund, he consistently takes positions that predict extreme events, and he's wrong almost all the time, consistently producing grinding, negative ret…
he's wrong almost all the time, consistently producing grinding, negative returns. He's only been right a couple times, but when he's right he's really right, making enough money that he doesn't need to make money anymore AFAIK his hedge fund haven't been right "big" even once so far and clients are only withdrawing money with a loss after few years...
http://en.wikipedia.org/wiki/Nassim_Taleb#Finance_career
Perhaps you should invest the extra 19 seconds between typing "AFAIK" and actually, you know, Knowing.
==== "founder of Empirica Capital, after which Taleb retired from trading and became a full-time author and scholar in 2004.[33] Taleb is currently Principal/Senior Scientific Adviser at Universa Investments in Santa Monica, California, a tail protection firm owned and managed by former Empirica partner Mark Spitznagel.
Taleb reportedly made a multi-million dollar fortune during the financial crisis that began in 2007, a development which he attributed to the failure of statistical methods in finance.[34]
Universa is a fund which is based on the "black swan" idea and to which Taleb is a principal adviser. Separate funds belonging to Universa made returns of 65% to 115% in October 2008.[20][35] In the wake of the economic crisis that started in 2008, Taleb has become an activist for a "black swan robust society"" ===