Ebola Virus 2014

I’m not saying that’s its impossible to predict a black swan, just that you’ll probably have better luck in the National Coin Flipping Championships. Investors can be best serve themselves, not by predicting specific black swan events, but by insulating against them.

We are most affected by what we least expect. The impact is inversely proportional to the perceived probability. Perceived probability may be faulted by our reliance on a posteriori observation. A black swan is an event which exert a proportionately larger impact due to its low perceived likelihood.

I define the Ebola Virus outbreak as run-of-the-mill white swan. A black swan would be something totally unprecedented… like a deadly mutation of the common cold as rediculous as that sounds.

Interesting developments:

(1) According to Dr. Bruce Beutler, who won the Nobel Prize for Medicine and Physiology in 2011 “It may not be absolutely true that those without symptoms can’t transmit the disease, because we don’t have the numbers to back that up.”
http://dailycaller.com/2014/10/30/nobel-prize-winning-physician-backs-ebola-quarantine-for-health-workers/

(2) “Recent studies conducted in West Africa have demonstrated that 98% have an incubation period that falls within the 1 to 42 day interval.”
http://www.who.int/mediacentre/news/ebola/14-october-2014/en/

(3) Hickox was a Class of 2012 member of CDC’s two-year EIS (Epidemic Intelligence Service) training program for which she received a $90,000 salary and benefits each yr. Was she in West Africa as a nurse or as an actor for the CDC???
http://dailycaller.com/2014/10/27/released-ebola-nurse-kaci-hickox-works-for-cdc-her-lawyer-is-a-white-house-visitor/