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Bad Data
How Governments, Politicians and the Rest of Us Get Misled by Numbers
Taschenbuch von Georgina Sturge
Sprache: Englisch

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Beschreibung
A thrilling behind-the-scenes exploration of how governments past and present have been led astray by bad data - and why it is so hard to measure things and to do it well
A thrilling behind-the-scenes exploration of how governments past and present have been led astray by bad data - and why it is so hard to measure things and to do it well
Über den Autor

Georgina Sturge is a Statistician at the House of Commons Library. She is one of a team of senior statisticians who advise the 650 Members of Parliament - from all parties - on the use of statistics and who carry out impartial research for them. Whenever there is a debate in Parliament, they compile general background information for Members and answer their direct questions.

Georgina sees first-hand how data is used in the policy process. She sees the constant demand for it, how politicians are not able to take 'no data' for an answer, how statistics get warped and how nuance and uncertainty are overlooked. She sees how important decisions being made based on data that is really not robust enough for that purpose.

Her background is in quantitative public policy analysis. She trained in this at the United Nations University and Maastricht University Graduate School of Governance. Prior to working at Parliament, she worked as a primary researcher in the fields of global development, international migration, social security, poverty and inequality. She has helped design and carry out primary data collection through large-scale population surveys in several countries.

She is a member of the Office for National Statistics' expert advisory group on population and migration statistics and an advisor to the University of Oxford's Migration Observatory.

Details
Erscheinungsjahr: 2023
Fachbereich: Allgemeines
Rubrik: Sozialwissenschaften
Medium: Taschenbuch
Seiten: 288
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780349128634
ISBN-10: 0349128634
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Sturge, Georgina
Hersteller: Little, Brown Book Group
Maße: 194 x 125 x 25 mm
Von/Mit: Georgina Sturge
Erscheinungsdatum: 02.11.2023
Gewicht: 0,232 kg
preigu-id: 120670492
Über den Autor

Georgina Sturge is a Statistician at the House of Commons Library. She is one of a team of senior statisticians who advise the 650 Members of Parliament - from all parties - on the use of statistics and who carry out impartial research for them. Whenever there is a debate in Parliament, they compile general background information for Members and answer their direct questions.

Georgina sees first-hand how data is used in the policy process. She sees the constant demand for it, how politicians are not able to take 'no data' for an answer, how statistics get warped and how nuance and uncertainty are overlooked. She sees how important decisions being made based on data that is really not robust enough for that purpose.

Her background is in quantitative public policy analysis. She trained in this at the United Nations University and Maastricht University Graduate School of Governance. Prior to working at Parliament, she worked as a primary researcher in the fields of global development, international migration, social security, poverty and inequality. She has helped design and carry out primary data collection through large-scale population surveys in several countries.

She is a member of the Office for National Statistics' expert advisory group on population and migration statistics and an advisor to the University of Oxford's Migration Observatory.

Details
Erscheinungsjahr: 2023
Fachbereich: Allgemeines
Rubrik: Sozialwissenschaften
Medium: Taschenbuch
Seiten: 288
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780349128634
ISBN-10: 0349128634
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Sturge, Georgina
Hersteller: Little, Brown Book Group
Maße: 194 x 125 x 25 mm
Von/Mit: Georgina Sturge
Erscheinungsdatum: 02.11.2023
Gewicht: 0,232 kg
preigu-id: 120670492
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