Truth or truthiness :: distinguishing fact from fiction by learning to think like a data scientist /
"Teacher tenure is a problem. Teacher tenure is a solution. Fracking is safe. Fracking causes earthquakes. Our kids are over-tested. Our kids are not tested enough. We read claims like these in the newspaper, often with no justification other than "it feels right." How can we figure o...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Cambridge University Press,
2016.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Teacher tenure is a problem. Teacher tenure is a solution. Fracking is safe. Fracking causes earthquakes. Our kids are over-tested. Our kids are not tested enough. We read claims like these in the newspaper, often with no justification other than "it feels right." How can we figure out what is right? Escaping from the clutches of truthiness begins with one question: "What's the evidence?" With his usual verve, and disdain for pious nonsense, Howard Wainer offers a refreshing fact-based view of complex problems in altitude of fields, with special emphasis showing in education how to evaluate the evidence, or lack thereof, supporting various kinds of claims. His primary tool is casual inference: how can we convincingly demonstrate the cause of an effect? This wise book is a must-read for anyone who's ever wanted to challenge the pronouncements of authority figures and a captivating narrative that entertains and educates at the same time. Howard Wainer is a Distinguished Research Scientist at the National Board of Medical Examiners. He has published more than 400 articles and chapters in scholarly journals and books. His book Defeating Deception: Escaping the Shackles of Truthiness by Learning to Think like a Data Scientist, will be published by Cambridge University Press in 2016"-- |
| Beschreibung: | 1 online resource (xviii, 210 page) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781316492079 1316492079 9781316424315 1316424316 9781316491195 1316491196 |
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| 520 | |a "Teacher tenure is a problem. Teacher tenure is a solution. Fracking is safe. Fracking causes earthquakes. Our kids are over-tested. Our kids are not tested enough. We read claims like these in the newspaper, often with no justification other than "it feels right." How can we figure out what is right? Escaping from the clutches of truthiness begins with one question: "What's the evidence?" With his usual verve, and disdain for pious nonsense, Howard Wainer offers a refreshing fact-based view of complex problems in altitude of fields, with special emphasis showing in education how to evaluate the evidence, or lack thereof, supporting various kinds of claims. His primary tool is casual inference: how can we convincingly demonstrate the cause of an effect? This wise book is a must-read for anyone who's ever wanted to challenge the pronouncements of authority figures and a captivating narrative that entertains and educates at the same time. Howard Wainer is a Distinguished Research Scientist at the National Board of Medical Examiners. He has published more than 400 articles and chapters in scholarly journals and books. His book Defeating Deception: Escaping the Shackles of Truthiness by Learning to Think like a Data Scientist, will be published by Cambridge University Press in 2016"-- |c Provided by publisher | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Part I. Thinking Like a Data Scientist: 1. How the rule of 72 can provide guidance to advance your wealth, your career and your gas mileage; 2. Piano virtuosos and the four-minute mile; 3. Happiness and causal inference; 4. Causal inference and death; 5. Using experiments to answer four vexing questions; 6. Causal inferences from observational studies: fracking, injection wells, earthquakes, and Oklahoma; 7. Life follows art: gaming the missing data algorithm; Part II. Communicating Like a Data Scientist: 8. On the crucial role of empathy in the design of communications: genetic testing as an example; 9. Improving data displays: the media's, and ours; 10. Inside-out plots; 11. A century and a half of moral statistics: plotting evidence to affect social policy; Part III. Applying the Tools of Data Science to Education: 12. Waiting for Achilles; 13. How much is tenure worth?; 14. Detecting cheating badly: if it could have been, it must have been; 15. When nothing is not zero: a true saga of missing data, adequate yearly progress, and a Memphis charter school; 16. Musing about changes in the SAT: is the college board getting rid of the bulldog?; 17. For want of a nail: why worthless subscores may be seriously impeding the progress of western civilization. | |
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| 650 | 0 | |a Inference. |0 http://id.loc.gov/authorities/subjects/sh85066082 | |
| 650 | 0 | |a Evidence. |0 http://id.loc.gov/authorities/subjects/sh85045994 | |
| 650 | 0 | |a Belief and doubt. |0 http://id.loc.gov/authorities/subjects/sh85013004 | |
| 650 | 6 | |a Pensée critique. | |
| 650 | 6 | |a Inférence (Logique) | |
| 650 | 6 | |a Évidence. | |
| 650 | 6 | |a Croyance et doute. | |
| 650 | 7 | |a REFERENCE |x Questions & Answers. |2 bisacsh | |
| 650 | 7 | |a Belief and doubt |2 fast | |
| 650 | 7 | |a Critical thinking |2 fast | |
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| 650 | 7 | |a Erkenntnistheorie |2 gnd |0 http://d-nb.info/gnd/4070914-0 | |
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| author | Wainer, Howard |
| author_GND | http://id.loc.gov/authorities/names/n83169816 |
| author_facet | Wainer, Howard |
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| contents | Part I. Thinking Like a Data Scientist: 1. How the rule of 72 can provide guidance to advance your wealth, your career and your gas mileage; 2. Piano virtuosos and the four-minute mile; 3. Happiness and causal inference; 4. Causal inference and death; 5. Using experiments to answer four vexing questions; 6. Causal inferences from observational studies: fracking, injection wells, earthquakes, and Oklahoma; 7. Life follows art: gaming the missing data algorithm; Part II. Communicating Like a Data Scientist: 8. On the crucial role of empathy in the design of communications: genetic testing as an example; 9. Improving data displays: the media's, and ours; 10. Inside-out plots; 11. A century and a half of moral statistics: plotting evidence to affect social policy; Part III. Applying the Tools of Data Science to Education: 12. Waiting for Achilles; 13. How much is tenure worth?; 14. Detecting cheating badly: if it could have been, it must have been; 15. When nothing is not zero: a true saga of missing data, adequate yearly progress, and a Memphis charter school; 16. Musing about changes in the SAT: is the college board getting rid of the bulldog?; 17. For want of a nail: why worthless subscores may be seriously impeding the progress of western civilization. |
| ctrlnum | (OCoLC)932016666 |
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| dewey-ones | 001 - Knowledge |
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| dewey-search | 001.4/2 |
| dewey-sort | 11.4 12 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Allgemeines |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-4-EBA-ocn932016666 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:26:56Z |
| institution | BVB |
| isbn | 9781316492079 1316492079 9781316424315 1316424316 9781316491195 1316491196 |
| language | English |
| oclc_num | 932016666 |
| open_access_boolean | |
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| physical | 1 online resource (xviii, 210 page) |
| psigel | ZDB-4-EBA |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Cambridge University Press, |
| record_format | marc |
| spelling | Wainer, Howard, author. http://id.loc.gov/authorities/names/n83169816 Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist / Howard Wainer, National Board of Medical Examiners. New York : Cambridge University Press, 2016. ©2016 1 online resource (xviii, 210 page) text txt rdacontent computer c rdamedia online resource cr rdacarrier "Teacher tenure is a problem. Teacher tenure is a solution. Fracking is safe. Fracking causes earthquakes. Our kids are over-tested. Our kids are not tested enough. We read claims like these in the newspaper, often with no justification other than "it feels right." How can we figure out what is right? Escaping from the clutches of truthiness begins with one question: "What's the evidence?" With his usual verve, and disdain for pious nonsense, Howard Wainer offers a refreshing fact-based view of complex problems in altitude of fields, with special emphasis showing in education how to evaluate the evidence, or lack thereof, supporting various kinds of claims. His primary tool is casual inference: how can we convincingly demonstrate the cause of an effect? This wise book is a must-read for anyone who's ever wanted to challenge the pronouncements of authority figures and a captivating narrative that entertains and educates at the same time. Howard Wainer is a Distinguished Research Scientist at the National Board of Medical Examiners. He has published more than 400 articles and chapters in scholarly journals and books. His book Defeating Deception: Escaping the Shackles of Truthiness by Learning to Think like a Data Scientist, will be published by Cambridge University Press in 2016"-- Provided by publisher Includes bibliographical references and index. Print version record. Part I. Thinking Like a Data Scientist: 1. How the rule of 72 can provide guidance to advance your wealth, your career and your gas mileage; 2. Piano virtuosos and the four-minute mile; 3. Happiness and causal inference; 4. Causal inference and death; 5. Using experiments to answer four vexing questions; 6. Causal inferences from observational studies: fracking, injection wells, earthquakes, and Oklahoma; 7. Life follows art: gaming the missing data algorithm; Part II. Communicating Like a Data Scientist: 8. On the crucial role of empathy in the design of communications: genetic testing as an example; 9. Improving data displays: the media's, and ours; 10. Inside-out plots; 11. A century and a half of moral statistics: plotting evidence to affect social policy; Part III. Applying the Tools of Data Science to Education: 12. Waiting for Achilles; 13. How much is tenure worth?; 14. Detecting cheating badly: if it could have been, it must have been; 15. When nothing is not zero: a true saga of missing data, adequate yearly progress, and a Memphis charter school; 16. Musing about changes in the SAT: is the college board getting rid of the bulldog?; 17. For want of a nail: why worthless subscores may be seriously impeding the progress of western civilization. Critical thinking. http://id.loc.gov/authorities/subjects/sh87003202 Inference. http://id.loc.gov/authorities/subjects/sh85066082 Evidence. http://id.loc.gov/authorities/subjects/sh85045994 Belief and doubt. http://id.loc.gov/authorities/subjects/sh85013004 Pensée critique. Inférence (Logique) Évidence. Croyance et doute. REFERENCE Questions & Answers. bisacsh Belief and doubt fast Critical thinking fast Evidence fast Inference fast Erkenntnistheorie gnd http://d-nb.info/gnd/4070914-0 Schlussfolgern gnd http://d-nb.info/gnd/4251178-1 Statistik gnd Electronic books. has work: Truth or truthiness (Text) https://id.oclc.org/worldcat/entity/E39PCH7YXggcMdvYQR6k8V6hH3 https://id.oclc.org/worldcat/ontology/hasWork Erscheint auch als: Druck-Ausgabe Wainer, Howard. Truth or Truthiness . Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1105182 Volltext |
| spellingShingle | Wainer, Howard Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist / Part I. Thinking Like a Data Scientist: 1. How the rule of 72 can provide guidance to advance your wealth, your career and your gas mileage; 2. Piano virtuosos and the four-minute mile; 3. Happiness and causal inference; 4. Causal inference and death; 5. Using experiments to answer four vexing questions; 6. Causal inferences from observational studies: fracking, injection wells, earthquakes, and Oklahoma; 7. Life follows art: gaming the missing data algorithm; Part II. Communicating Like a Data Scientist: 8. On the crucial role of empathy in the design of communications: genetic testing as an example; 9. Improving data displays: the media's, and ours; 10. Inside-out plots; 11. A century and a half of moral statistics: plotting evidence to affect social policy; Part III. Applying the Tools of Data Science to Education: 12. Waiting for Achilles; 13. How much is tenure worth?; 14. Detecting cheating badly: if it could have been, it must have been; 15. When nothing is not zero: a true saga of missing data, adequate yearly progress, and a Memphis charter school; 16. Musing about changes in the SAT: is the college board getting rid of the bulldog?; 17. For want of a nail: why worthless subscores may be seriously impeding the progress of western civilization. Critical thinking. http://id.loc.gov/authorities/subjects/sh87003202 Inference. http://id.loc.gov/authorities/subjects/sh85066082 Evidence. http://id.loc.gov/authorities/subjects/sh85045994 Belief and doubt. http://id.loc.gov/authorities/subjects/sh85013004 Pensée critique. Inférence (Logique) Évidence. Croyance et doute. REFERENCE Questions & Answers. bisacsh Belief and doubt fast Critical thinking fast Evidence fast Inference fast Erkenntnistheorie gnd http://d-nb.info/gnd/4070914-0 Schlussfolgern gnd http://d-nb.info/gnd/4251178-1 Statistik gnd |
| subject_GND | http://id.loc.gov/authorities/subjects/sh87003202 http://id.loc.gov/authorities/subjects/sh85066082 http://id.loc.gov/authorities/subjects/sh85045994 http://id.loc.gov/authorities/subjects/sh85013004 http://d-nb.info/gnd/4070914-0 http://d-nb.info/gnd/4251178-1 |
| title | Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist / |
| title_auth | Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist / |
| title_exact_search | Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist / |
| title_full | Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist / Howard Wainer, National Board of Medical Examiners. |
| title_fullStr | Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist / Howard Wainer, National Board of Medical Examiners. |
| title_full_unstemmed | Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist / Howard Wainer, National Board of Medical Examiners. |
| title_short | Truth or truthiness : |
| title_sort | truth or truthiness distinguishing fact from fiction by learning to think like a data scientist |
| title_sub | distinguishing fact from fiction by learning to think like a data scientist / |
| topic | Critical thinking. http://id.loc.gov/authorities/subjects/sh87003202 Inference. http://id.loc.gov/authorities/subjects/sh85066082 Evidence. http://id.loc.gov/authorities/subjects/sh85045994 Belief and doubt. http://id.loc.gov/authorities/subjects/sh85013004 Pensée critique. Inférence (Logique) Évidence. Croyance et doute. REFERENCE Questions & Answers. bisacsh Belief and doubt fast Critical thinking fast Evidence fast Inference fast Erkenntnistheorie gnd http://d-nb.info/gnd/4070914-0 Schlussfolgern gnd http://d-nb.info/gnd/4251178-1 Statistik gnd |
| topic_facet | Critical thinking. Inference. Evidence. Belief and doubt. Pensée critique. Inférence (Logique) Évidence. Croyance et doute. REFERENCE Questions & Answers. Belief and doubt Critical thinking Evidence Inference Erkenntnistheorie Schlussfolgern Statistik Electronic books. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1105182 |
| work_keys_str_mv | AT wainerhoward truthortruthinessdistinguishingfactfromfictionbylearningtothinklikeadatascientist |