Uploaded August 2016 | Updated September 2026, 1 hour ago
Presented by Dr. Rebecca Goldin at the National Science Foundation on January 10, 2009.
In an era flooded with information, understanding how statistics are presented, and often misrepresented, in the media is more critical than ever. This captivating presentation delves into the hidden pitfalls of data in journalism, revealing how numbers can be "spun" to create misleading narratives, influence public opinion, and even fuel pseudoscience. Join our expert speaker as she dissects real-world examples, from skewed health reports to misleading political polls, equipping you with the critical thinking skills to navigate the quantitative world around you.
The speaker, a distinguished former pure mathematician, brings a unique perspective to the intersection of mathematics, statistics, and public discourse. Now serving as Director of Research at STATS, an organization dedicated to improving the accuracy of science and statistics in the news, she draws on extensive experience working with journalists to enhance their data literacy. Her background in symplectic geometry, while deeply theoretical, propelled her to seek a more direct influence on "Main Street," leading her to this vital work of demystifying scientific and statistical communication.
In this talk, discover how statistics permeate nearly every news category, from economics and crime to public health and education, making their accurate interpretation essential for informed citizenry.
She also discusses common statistical misunderstandings including:
* "Statistically Significant" vs. Practically Meaningful: Unpack the crucial difference between a result unlikely to be due to chance and one that holds real-world importance.
* Causation vs. Correlation: Learn why "correlation does not imply causation" is a fundamental principle often ignored in sensationalized headlines. She illustrates this with examples like yoga and eating disorders, challenging viewers to think critically about assumed links.
* Relative Risk vs. Absolute Risk: Grasp why a "300% increased chance" of something frightening might still represent an incredibly low overall risk, using the vivid example of a piano falling on one's head.
* Confounding Factors: Understand how hidden variables can skew study results, leading to false conclusions.
* Orders of Magnitude & Margin of Error: Appreciate why accurately conveying scale (billions vs. trillions) and understanding the limitations of polls (margin of error) are vital for avoiding distorted perceptions.
* Consensus vs. Individual Study: Learn why focusing on a single research study over the broader scientific consensus can lead to misinformed public health scares, as seen with discussions around caffeine and miscarriage.
Dr. Goldin is Director of Research for the Statistical Assessment Service (stats.org), a nonprofit, nonpartisan research organization affiliated with George Mason University. STATS mission is to improve the quality of scientific and statistical information in public discourse and to act as a resource for journalists and policy makers on scientific issues and controversies. STATS' work has been featured on NBC Nightly News, the News Hour with Jim Lehrer, and ABC's 20/20 - and in print by the New York Times, Wall Street Journal, Washington Post, US News & World Report, New Scientist, New England Journal of Medicine, and many other publications.
The views expressed are those of the speaker and do not necessarily represent the views of the National Capital Area Skeptics (NCAS). For more information about the National Capital Area Skeptics, and to learn about our upcoming events, visit www.ncas.org.
#Statistics #DataLiteracy #CriticalThinking #ScienceEducation #MediaLiteracy #Pseudoscience #Misinformation #DataAnalysis #Journalism #Skepticism #PublicHealth #Polling #Bias #ReproducibilityCrisis #ScienceCommunication #FactChecking #EvidenceBased #InformationLiteracy #FakeNews #CognitiveBias #StatisticalSignificance #CausationCorrelation #RiskAssessment #AcademicFreedom #ConfoundingFactors #DataVisualization #ResearchMethods #ScienceReporting #HealthNews #PoliticalScience #EconomicData #SocialScience #QuantitativeAnalysis #ConsumerProtection #ScienceInSociety #SpeculativeFiction #Paranormal #ScienceAndMedia #TruthInNumbers
Presented by Dr. Rebecca Goldin at the National Science Foundation on January 10, 2009.
In an era flooded with information, understanding how statistics are presented, and often misrepresented, in the media is more critical than ever. This captivating presentation delves into the hidden pitfalls of data in journalism, revealing how numbers can be "spun" to create misleading narratives, influence public opinion, and even fuel pseudoscience. Join our expert speaker as she dissects real-world examples, from skewed health reports to misleading political polls, equipping you with the critical thinking skills to navigate the quantitative world around you.
The speaker, a distinguished former pure mathematician, brings a unique perspective to the intersection of mathematics, statistics, and public discourse. Now serving as Director of Research at STATS, an organization dedicated to improving the accuracy of science and statistics in the news, she draws on extensive experience working with journalists to enhance their data literacy. Her background in symplectic geometry, while deeply theoretical, propelled her to seek a more direct influence on "Main Street," leading her to this vital work of demystifying scientific and statistical communication.
In this talk, discover how statistics permeate nearly every news category, from economics and crime to public health and education, making their accurate interpretation essential for informed citizenry.
She also discusses common statistical misunderstandings including:
* "Statistically Significant" vs. Practically Meaningful: Unpack the crucial difference between a result unlikely to be due to chance and one that holds real-world importance.
* Causation vs. Correlation: Learn why "correlation does not imply causation" is a fundamental principle often ignored in sensationalized headlines. She illustrates this with examples like yoga and eating disorders, challenging viewers to think critically about assumed links.
* Relative Risk vs. Absolute Risk: Grasp why a "300% increased chance" of something frightening might still represent an incredibly low overall risk, using the vivid example of a piano falling on one's head.
* Confounding Factors: Understand how hidden variables can skew study results, leading to false conclusions.
* Orders of Magnitude & Margin of Error: Appreciate why accurately conveying scale (billions vs. trillions) and understanding the limitations of polls (margin of error) are vital for avoiding distorted perceptions.
* Consensus vs. Individual Study: Learn why focusing on a single research study over the broader scientific consensus can lead to misinformed public health scares, as seen with discussions around caffeine and miscarriage.
Dr. Goldin is Director of Research for the Statistical Assessment Service (stats.org), a nonprofit, nonpartisan research organization affiliated with George Mason University. STATS mission is to improve the quality of scientific and statistical information in public discourse and to act as a resource for journalists and policy makers on scientific issues and controversies. STATS' work has been featured on NBC Nightly News, the News Hour with Jim Lehrer, and ABC's 20/20 - and in print by the New York Times, Wall Street Journal, Washington Post, US News & World Report, New Scientist, New England Journal of Medicine, and many other publications.
The views expressed are those of the speaker and do not necessarily represent the views of the National Capital Area Skeptics (NCAS). For more information about the National Capital Area Skeptics, and to learn about our upcoming events, visit www.ncas.org.
#Statistics #DataLiteracy #CriticalThinking #ScienceEducation #MediaLiteracy #Pseudoscience #Misinformation #DataAnalysis #Journalism #Skepticism #PublicHealth #Polling #Bias #ReproducibilityCrisis #ScienceCommunication #FactChecking #EvidenceBased #InformationLiteracy #FakeNews #CognitiveBias #StatisticalSignificance #CausationCorrelation #RiskAssessment #AcademicFreedom #ConfoundingFactors #DataVisualization #ResearchMethods #ScienceReporting #HealthNews #PoliticalScience #EconomicData #SocialScience #QuantitativeAnalysis #ConsumerProtection #ScienceInSociety #SpeculativeFiction #Paranormal #ScienceAndMedia #TruthInNumbers
