A team of researchers from Indiana University performed random testing for SARS-CoV-2 across the state. The results offer some of the most accurate data to date about important aspects of the virus.
Academic rigor, journalistic flair
Articles on Random sampling
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Researchers and public health officials still don’t know how widespread nor how deadly the coronavirus really is. Random testing is a way to quickly and easily learn this important information.
Randomly selecting citizens to take turns governing offers the promise of reinvigorating struggling democracies, making them more responsive to citizen needs and preferences.
Shrewd media consumers think about these three statistical pitfalls that can be the difference between a world-changing announcement and misleading hype.
Millions of Americans believe brown cows produce chocolate milk? The way the media reported this factoid raises questions about science literacy – but different ones than you may think.
People around the world were shocked when Hillary Clinton, ahead in many polls, didn’t end up the U.S.‘ president-elect. But that doesn’t mean the polls themselves were wrong.
Top contributors
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Assistant Professor of Mathematics -- Statistics, Knox College
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Director of External Research for frank, College of Journalism and Communications, University of Florida
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Professor of the Practice of Data Science, Washington University in St. Louis
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Assistant Professor of Marketing, University of Oregon
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William H. Neukom 1964 Distinguished Professor of Computational Science, Associate Dean for the Sciences, Dartmouth College, Dartmouth College
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Professor of Health Policy and Management, Indiana University
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Professor of Political Science, Texas Tech University
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Indiana University
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William Clinton Story Remsen '43 Professor of Government, Dartmouth College
