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02720cam a2200421Ia 4500 001 855AC5A482A811DE820800E8A7D7520A 003 SILO 005 20100120073657 008 080826s2008 nyua g b 001 0 eng d 020 $a 0553384732 (pbk.) 020 $a 9780553384734 (pbk.) 035 $a (OCoLC)244450567 040 $a VPW $c VPW $d SILO $d EUF $d DMJ $d CNCGM $d IOV $d SILO 050 00 $a HA29 $b .A88 2008 100 1 $a Ayres, Ian. 245 1 $a Super crunchers : $b why thinking-by-numbers is the new way to be smart / $c Ian Ayres. 250 $a Bantam trade paperback ed. 260 $a New York : $b Bantam Books, $c 2008. 300 $a 307 p. : $b ill. ; $c 21 cm. 504 $a Includes bibliographical references (p. 263-294) and index. 520 $a Gone are the days of solely relying on intuition to make decisions. Today, number crunching affects your life in ways you might never imagine. Economist Ian Ayres shows how today's organizations are analyzing massive databases at lightning speed to provide greater insights into human behavior. From Web sites like Google and Amazon that know your tastes, to a physician's diagnosis or your child's education, to boardrooms and government agencies, this new breed of decisionmakers are calling the shots. And they are delivering staggeringly accurate results. How can a football coach evaluate a player without ever seeing him play? How can a formula outpredict wine experts in determining the best vintages? Super crunchers have the answers. In this brave new world of equation versus expertise, Ayres shows us the benefits and risks, who loses and who wins, and how super crunching can be used to help, not manipulate us.--From publisher description. 505 0 $a Introduction : the rise of the super crunchers -- Who's doing your thinking for you? -- Creating your own data with the flip of a coin -- Government by chance -- How should physicians treat evidence-based medicine? -- Experts versus equations -- Why now? -- Are we having fun yet? -- The future of intuition (and expertise) -- Afterword: continuing notes on the revolution. 650 0 $a Statistics. 650 0 $a Regression analysis. 650 0 $a Sampling (Statistics) 650 0 $a Standard deviations. 650 2 $a Statistics as Topic. 650 2 $a Mathematical Computing. 650 2 $a Decision Making, Computer-Assisted. 650 2 $a Regression Analysis. 650 2 $a Sampling Studies. 650 2 $a Diagnosis, Computer-Assisted. 650 2 $a Evidence-Based Medicine. 941 $a 2 952 $l PMAX975 $d 20191119044153.0 952 $l UDAX314 $d 20100120073657.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=855AC5A482A811DE820800E8A7D7520A 994 $a 02 $b IOVInitiate Another SILO Locator Search