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Predicting the future with the New NostradamusPublished 26 October, 2009, 08:58 Edited 26 October, 2009, 21:27 Bruce Bueno de Mesquita’s work as a consultant with the CIA has earned him the name ‘The New Nostradamus’. RT caught up with the modern prophet to find out what to expect in the future. In the Middle Ages, Nostradamus gained notoriety as someone who could predict what awaits humankind. However, the power of his forecasts is still the subject of heated debates with many academic sources believing that misinterpretations play a major role in any links between main world events and his poetry. De Mesquita, a professor of Politics at New York University, also predicts the future, particularly political futures. The curious thing is he is almost always right. Using mathematics and a computer model, de Mesquita has predicted world events from election outcomes to the actions of entire foreign countries and governments. The CIA – in a declassified document -has stated that the work de Mesquita has done for them enjoys a success rate of 90%. His work includes analysis and predictions on: achieving an Arab-Israeli peace, containing the nuclear ambitions of Iran and North Korea, anticipating and preventing corporate fraud and responding to international terrorism and climate change. RT caught up with de Mesquita before his talk to promote his new book: "The Predictioneer's Game" at Trinity College Dublin, Ireland. Game theoryRT: Your computer model is based upon the study of Game Theory; can you explain it and its relevance to your work? BBdM: Game Theory is mathematics for dealing with how people interact strategically with each other, i.e. what they do when they are taking into account what other people will do in response to their actions. Game Theory starts from the premise that people, like bacteria for example, are self-interested and so they always look for the course of action that is likely to give them the best result from their point of view. It assumes that everybody has values, things they want and beliefs. As people are self-interested, we can estimate their values and beliefs and their probabilities of being successful or unsuccessful in their actions, we can predict their behaviour. This is the foundation on which I can create a mathematical computer model to predict outcomes.RT: Isn’t that a very cold view of the world? BBdM: Yes, absolutely. I'm not encouraging people to be self- interested, I'm just trying to explain how the world appears to work. RT: How did you start with your predictions? BBdM: Back in the late 1970's I was doing research on Indian politics while also developing a model about diplomacy in war. I was asked by the US Department of State who I thought would be the next Prime Minister of India after the Indira Gandhi government fell. I had this war model and it occurred to me that the programs of negotiating governments and the problem of negotiating in diplomacy were exactly the same. I fed some data about India into the war model. I had my own personal opinion as to who would be the next PM of India, but the program came up with a completely different name. The computer turned out to be right. I thought that I was either lucky or accurate. So, I began to develop it more seriously and now here I am. 90% success rateRT: The CIA gave you a success rate of 90% with your predictions. Can you give an idea of the high profile predictions you got right, and also where did you go wrong? BBdM: Among the high profile predictions – that are at least in the public domain and I'm allowed to talk about are: I developed a strategy that helped to get Ferdinand Marcos to leave the Philippines to clear the way for Cory Aquino to be elected. Also, there is one major organisation in the world that has both China and Taiwan in it – The Asian Development Bank. When China applied for membership, they demanded that Taiwan be kicked out. I designed the strategy that would get China to join and keep Taiwan in, and, 25 years later, that’s still the case. On the failure side, I did a study in 1993 on health care reform in the US. I got everything wrong, but I learned something important in that study. What happened was a major player in that game (a Congressman) had dropped out because he was going to prison. I could not have anticipated that, but I have since amended the model to factor in such events.
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