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02067aam a22003377i 4500 001 ADD3ED7E917D11ED92F77E3E29ECA4DB 003 SILO 005 20230111010047 008 220822s2022 nyua b 001 0 eng d 020 $a 1541600983 020 $a 9781541600980 035 $a (OCoLC)1343153857 040 $a TOH $b eng $c TOH $d Y$5 $d IHY $d JCX $d SILO 100 1 $a Thompson, Erica, $e author. 245 10 $a Escape from model land $b how mathematical models can lead us astray and what we can do about it $c Erica Thompson 264 1 $a New York : $b Basic Books, $c 2022. 300 $a vii, 247 pages : $b illustrations ; $c 25 cm 504 $a Includes bibliographical references and index. 520 $a "Whether we are worried about the spread of COVID-19 or making a corporate budget, we depend on mathematical models to help us understand the world around us every day. But models aren't a mirror of reality. In fact, they are fantasies, where everything works out perfectly, every time. And relying on them too heavily can hurt us. In Escape from Model Land, statistician Erica Thompson illuminates the hidden dangers of models. She demonstrates how models reflect the biases, perspectives, and expectations of their creators. Thompson shows us why understanding the limits of models is vital to using them well. A deeper meditation on the role of mathematics, this is an essential book for helping us avoid either confusing the map with the territory or throwing away the map completely, instead pointing to more nuanced ways to Escape from Model Land."-- $c Provided by publisher. 650 0 $a Mathematical models. 941 $a 8 952 $l ALPE516 $d 20240417020154.0 952 $l SFPH074 $d 20240314024854.0 952 $l PQAX094 $d 20231214032812.0 952 $l BOPG851 $d 20231010032646.0 952 $l GAAX314 $d 20230602010110.0 952 $l USUX851 $d 20230405011615.0 952 $l XXPH787 $d 20230303011051.0 952 $l CDPF771 $d 20230111010113.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=ADD3ED7E917D11ED92F77E3E29ECA4DB 994 $a C0 $b C@VInitiate Another SILO Locator Search