skyeye
05-13-2010, 02:30 PM
Something for the Intel weenies and armchair analysts.
Predictive Analysis And Death From Above
May 13, 2010:
The increased use of UAVs, armed with Hellfire missiles, to attack targets in Pakistan's tribal territories, has led to the deaths of hundreds of Islamic terrorists. The question has often been raised about how the targets were found. Vidcams and electronic sensors on the UAVs, plus monitoring Internet traffic and recruiting local informants has played a role. But another key tool has often been ignored in the media (until recently, at least). This tool is predictive analysis, and the CIA, which runs this UAV campaign, has been using this for decades.
The way predictive analysis works is quite simple. With more data (from the vidcams, electronic eavesdropping and informants on the ground) it's possible to create a model (or simulation) of what terrorist activity on the ground looks like. Thus, if the CIA analysts see certain patterns of actions on the ground, they can accurately predict where the Islamic terrorists are, what they doing and, often, exactly who (like a key Taliban or al Qaeda operative) is down there. At that point, the Hellfire missiles are applied. The track record of the accuracy of these predictions has been striking. Few civilians have been attacked, nearly all the targets have been, as the predictive analysis indicated, terrorists.
A key factor in making all this work was the U.S. government changing its policy, in the last two years, of only attacking terrorists on a list (of up to 500) of named individuals. Predictive analysis cannot always guarantee that a target will be a specific individual, but it can, with near certainty, indicate that the target is an Islamic terrorist.
It all began back in the 1970s, when some CIA analysts discovered a new way to analyze the mountains of information they were receiving. The new tool was predictive analysis. What does this do for intelligence analysts? Predictive analysis was the result of a fortuitous combination of OR (Operations Research), large amounts of data and more powerful computers. OR is one the major (and generally unheralded) scientific developments of the early 20th century. OR is basically applying mathematical analysis to problems. OR turned out to be a major "weapon" for the Allies during World War II. OR, like radar, was developed in the 1930s, just in time for a major war, when whatever was available was put to work to win the conflict. OR is also, half jokingly, called a merger of math and common sense. It is widely used today in science, industry and, especially, in business (it's the primary tool of MBAs, where it's called "management science".) With predictive analysis, the most important OR tool was the ability to "backtest" (see if the simulation of a situation could accurately predict the outcome of something that had already happened, if the same historical decisions are made). For predictive analysis of contemporary situations, the backtest is, instead, a predictive tool that reveals likely outcomes.
Article continues here:
FROM STRATEGYPAGE.COM:
http://www.strategypage.com/htmw/htintel/articles/20100513.aspx
Predictive Analysis And Death From Above
May 13, 2010:
The increased use of UAVs, armed with Hellfire missiles, to attack targets in Pakistan's tribal territories, has led to the deaths of hundreds of Islamic terrorists. The question has often been raised about how the targets were found. Vidcams and electronic sensors on the UAVs, plus monitoring Internet traffic and recruiting local informants has played a role. But another key tool has often been ignored in the media (until recently, at least). This tool is predictive analysis, and the CIA, which runs this UAV campaign, has been using this for decades.
The way predictive analysis works is quite simple. With more data (from the vidcams, electronic eavesdropping and informants on the ground) it's possible to create a model (or simulation) of what terrorist activity on the ground looks like. Thus, if the CIA analysts see certain patterns of actions on the ground, they can accurately predict where the Islamic terrorists are, what they doing and, often, exactly who (like a key Taliban or al Qaeda operative) is down there. At that point, the Hellfire missiles are applied. The track record of the accuracy of these predictions has been striking. Few civilians have been attacked, nearly all the targets have been, as the predictive analysis indicated, terrorists.
A key factor in making all this work was the U.S. government changing its policy, in the last two years, of only attacking terrorists on a list (of up to 500) of named individuals. Predictive analysis cannot always guarantee that a target will be a specific individual, but it can, with near certainty, indicate that the target is an Islamic terrorist.
It all began back in the 1970s, when some CIA analysts discovered a new way to analyze the mountains of information they were receiving. The new tool was predictive analysis. What does this do for intelligence analysts? Predictive analysis was the result of a fortuitous combination of OR (Operations Research), large amounts of data and more powerful computers. OR is one the major (and generally unheralded) scientific developments of the early 20th century. OR is basically applying mathematical analysis to problems. OR turned out to be a major "weapon" for the Allies during World War II. OR, like radar, was developed in the 1930s, just in time for a major war, when whatever was available was put to work to win the conflict. OR is also, half jokingly, called a merger of math and common sense. It is widely used today in science, industry and, especially, in business (it's the primary tool of MBAs, where it's called "management science".) With predictive analysis, the most important OR tool was the ability to "backtest" (see if the simulation of a situation could accurately predict the outcome of something that had already happened, if the same historical decisions are made). For predictive analysis of contemporary situations, the backtest is, instead, a predictive tool that reveals likely outcomes.
Article continues here:
FROM STRATEGYPAGE.COM:
http://www.strategypage.com/htmw/htintel/articles/20100513.aspx