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Devlin - The Numbers Behind NUMB3RS

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Devlin The Numbers Behind NUMB3RS
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When an old man is found dead at the foot of the staircase in his rambling old house, a hint of murder and the lure of hidden treasure draw Gently into the case. Gently has plenty of suspects for the old mans murder. A warehouse watchman across the street misses nothing that goes on at the house, but can shed no light on the murderer. A local antiques dealer knows a suspicious amount about the house and a good deal more about the treasure that is thought to be hidden within its walls. When the murderer strikes again, Gently has a high profile case on his hands and faces a night of sheer terror alone in a house whose secret has claimed at least two lives.

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* Well take a closer look at this formula in a moment.

*This was the main plot idea behind the 2002 blockbuster movie Minority Report , starring Tom Cruise. But that, of course, is fiction.

* An Application of Bayesian Networks to Antiterrorism Risk Management for Military Planners , by Linwood D. Hudson, Bryan S. Ware, Suzanne M. Mahoney, and Kathryn Blackmond Laskey.

*The comparison is not made directly between the sequences of the four base letters, but on numerical counts of them. The DNA profile is actually a sequence of those counts. The distinction is not important for our account.

*Profile match probabilities are based on empirical studies of allele frequencies of large numbers of samples. The figure 1/10 used here is widely regarded as being a good representative figure.

*As will be explained later, care is required in interpreting this requirement in terms of exactly what numerical probability is to be computed.

* United States v. Sullivan , 246 F. Supp. 2d 700, 704 (E.D. Ky. 2003).

*The FBI did consider using JPEG, but the special nature of fingerprint imagesessentially narrowly separated, black, parallel, curved lines on a white backgroundmeant that it was much more efficient to use a specially tailored system. For many images, such as a fairly uniform background, JPEG-2000 can achieve a compression rate of 200.

*It turns out that the actual numbersone year, two years, five yearsare not important, just the comparisons between them, but well stick with the figures we have.

*In Statistical Methods in Counterterrorism , Alyson G. Wilson, Gregory D. Wilson, David H. Olwell, editors (New York: Springer, 2006).

*Nevada is an exception. The lucrative gambling business in this otherwise fairly poor state enabled the casinos to exert pressure on the legislature to make card counting illegal.

*Actually, this is not entirely accurate. Because of inertial properties of a physical coin, there is a slight tendency for it to resist turning, with the result that, if a perfectly balanced coin is given a random initial flip, the probability that it will land the same way up as it started is about 0.51. But we will ignore this caveat in what follows.

*Some casinos use a so-called soft 17 rule that requires the dealer to hit when his or her total of 17 includes an ace counted as 11.

*Edward O. Thorp, Beat the Dealer: A Winning Strategy for the Game of Twenty-One , Random House, New York, 1962.

*E. H. Simpson. The Interpretation of Interaction in Contingency Tables, Journal of the Royal Statistical Society , Ser. B, 13 (1951) 238241.

*Sadly, despite many efforts to eliminate the problem, racial bias by police seems to be a persistent issue throughout the country. To cite just one recent report, An Analysis of Traffic Stop Data in Riverside, California , by Larry K. Gaines of the California State University in San Bernardino, published in Police Quarterly , 9, 2, June 2006, pp. 210233: The findings from racial profiling or traffic stop studies have been fairly consistent: Minorities, especially African Americans, are stopped, ticketed, and searched at a higher rate as compared to Whites. For example, Lamberth (cited in State v. Pedro Soto , 1996) found that the Maryland State Police stopped and searched African Americans at a higher rate as compared to their rate of speeding violations. Harris (1999) examined court records in Akron, Dayton, Toledo, and Columbus, Ohio, and found that African Americans were cited at a rate that surpassed their representation in the driving population. Cordner, Williams, and Zuniga (2000) and Cordner, Williams, and Velasco (2002) found similar trends in San Diego, California. Zingraff and his colleagues (2000) examined stops by the North Carolina Highway Patrol and found that African Americans were overrepresented in stops and searches.

*The idea is based on several real-life projects to use the equations that describe fluid flows in order to analyze various kinds of crowd activity, including freeway traffic flow, spectators entering and leaving a large sports stadium, and emergency exits from burning buildings.

*Ref. R. Adderley and P. B. Musgrove, General Review of Police Crime Recording and Investigation Systems, Policing: An International Journal of Police Strategies and Management , 24 (1), 2001, pp.110114.

*Its actually more accurate to say can be regarded as rather than consists of, since the entire neural network is simulated on a normal digital computer.

*After the riots, federal charges of civil rights violations were brought against the four officers. Sergeant Stacey Koon and Officer Laurence Powell were found guilty; the other two were acquitted.

*For those who know the lingo, the key idea is to use Euler-Lagrange PDE minimization, a calculus technique developed long before computers came onto the scene, on the total variation functional.

A PLUME BOOK
THE NUMBERS BEHIND NUMB3RS

DR. KEITH DEVLIN is executive director of Stanford Universitys Center for the Study of Language and Information and a consulting professor of mathematics at Stanford. Devlin has a B.Sc. degree in Mathematics from Kings College London (1968) and a Ph.D. in Mathematics from the University of Bristol (1971). He is a fellow of the American Association for the Advancement of Science, a World Economic Forum fellow, and a former member of the Mathematical Sciences Education Board of the U.S. National Academy of Sciences. The author of twenty-five books, Devlin has been a regular contributor to National Public Radios popular program Weekend Edition , where he is known as the Math Guy in his on-air conversations with host Scott Simon. His monthly column, Devlins Angle, appears on Mathematical Association of Americas web journal MAA Online .

DR. GARY LORDEN is a professor in the mathematics department of the California Institute of Technology in Pasadena. He graduated from Caltech with a B.S. in mathematics in 1962, received his Ph.D. in mathematics from Cornell University in 1966, and taught at Northwestern University before returning to Caltech in 1968. A fellow of the Institute of Mathematical Statistics, Lorden has taught statistics, probability, and other mathematics at all levels from freshman to doctoral. Lorden has also been active as a consultant and expert witness in mathematics and statistics for government agencies and laboratories, private companies, and law firms. For many years he consulted for Caltechs Jet Propulsion Laboratory for their space exploration programs. He has participated in highly classified research projects aimed at enhancing the ability of government agencies (such as the NSA) to protect national security. Lorden is the chief mathematics consultant for the CBS TV series NUMB3RS .

THE NUMBERS BEHIND NUMB3RS

Solving Crime with Mathematics

Keith Devlin, Ph.D.
and
Gary Lorden, Ph.D.

The Numbers Behind NUMB3RS - image 1

PLUME

Published by Penguin Group
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