Shows
Everything Hertz189: Crit me baby, one more timeDan and James discuss a recent piece that proposes a post-publication review process, which is triggered by citation counts. They also cover how an almetrics trigger could be alternatively used for a more immediate post-publication critique.
Links
The Chonicle piece by Andrew Gelman and Andrew King [Free to read with email registration]
The paper by Peder Isager and collegues on how to decide what papers we should replicate. Here is the preprint.
The ERROR project
Other links
Everything Hertz on Bluesky
Dan on Bluesky
James on Bluesky
Everything Hertz on Bluesky
Citation
2025-03-0253 min
Luke FordDecoding Peter Thiel (2-9-25)01:00 What makes Stephen Miller successful with Donald Trump
16:30 My 3am AI nightmare
25:00 "Ties bind and blind." I am triply inclined not to criticize Ben Shapiro because I share his outlook, his sacred values, his Orthodox Judaism, and many of his friends.
28:00 60 Minutes did nothing wrong in its Kamala Harris interview edit
37:00 Hoover: Apocalypse Now? Peter Thiel on Ancient Prophecies and Modern Tech, https://www.youtube.com/watch?v=qqHueZNEzig
48:00 Peter Thiel: The Techno-Apocalypse is Nigh, https://decoding-the-gurus.captivate.fm/episode/peter-thiel-the-techno-apocalypse-is-nigh
1:12:30 Can a barking dog be racist?
1:23:00 The Eagles are bigger, stronger, faster and more talented than the Chiefs, but...
2025-02-094h 20
High Signal: Data Science | Career | AIEpisode 2: Fooling Yourself Less: The Art of Statistical Thinking in AIHugo Bowne-Anderson welcomes Andrew Gelman, professor at Columbia University, to discuss the practical side of statistics and data science. They explore the importance of high-quality data, computational skills, and using simulation to avoid misleading results. Andrew dives into real-world applications like election predictions and highlights causal inference’s critical role in decision-making. This episode offers insights into balancing statistical theory with applied data analysis, making it a must-listen for both data practitioners and those interested in how statistics shapes our world.
2024-10-191h 00
JHLT: The PodcastEpisode 48: A Tribute to Daniel R GoldsteinThis month, JHLT: The Podcast reissues our September 2023 tribute to former Editor-in-Chief, Dr. Daniel R. Goldstein. Dr. Goldstein stepped down from his role for health reasons in July 2023; he had been diagnosed with an advanced salivary gland malignancy and felt he would be unable to continue serving JHLT and the International Society for Heart and Lung Transplantation (ISHLT) to his characteristically demanding standard. Sadly, Dr. Goldstein died on 21 May, 2024, at the age of 56, leaving behind his wife, 2 children, an extended family, and a larger universe of colleagues, collaborators, and mentees who greatly benefited from his equanimity, wisdom...
2024-09-1314 min
EconoFact ChatsVoting, Income, and the Red-state, Blue-state Paradox (Re-broadcast)There's evidence that economically better-off voters tilt Republican. But there is a paradox. While richer voters tilt Republican, richer states tend to vote Democrat. To discuss this apparent paradox, as well as issues of poll accuracy, and how much the state of the economy has mattered in recent mid-term elections, EconoFact Chats welcomes Andrew Gelman of Columbia University.
Andrew is a professor of statistics and political science at Columbia. His work has focused on a range of topics, including why it is rational to vote, and why campaign polls are so variable, when elections are often predictable.
Note: This podcast...
2024-08-0400 min
The Studies ShowEpisode 42: Election specialThis week it’s the UK General Election, and lots of other countries either have elections coming soon or have recently voted. Lots of pollsters and political scientists have been attempting to predict the outcomes - but how successful will they be?In this Studies Show election special, Tom and Stuart discuss the various quirks and downsides of opinion polls, and ask how scientific political science really is. The Studies Show is sponsored by Works in Progress magazine - the best place online to find beautifully-written essays about human progress. How can we learn from th...
2024-07-021h 01Everything Hertz181: Down the rabbit holeWe discuss how following citation chains in psychology can often lead to unexpected places, and how this can contribute to unreplicable findings. We also discuss why team science has taken longer to catch on in psychology compared to other research fields.
Here is the preprint that we mentioned authored by Andrew Gelman and Nick Brown - https://osf.io/preprints/psyarxiv/ekmdf
Our episode with Nick Brown - https://everythinghertz.com/44
Other links
Everything Hertz on social media
Dan on twitter
James on twitter
Everything Hertz on twitter
Everything Hertz on Facebook
Support us...
2024-06-0342 min
Learning Bayesian StatisticsActive Statistics, Two Truths & a Lie, with Andrew GelmanProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meIf there is one guest I don’t need to introduce, it’s mister Andrew Gelman. So… I won’t! I will refer you back to his two previous appearances on the show though, because learning from Andrew is always a pleasure. So go ahead and listen to episodes 20 and 27.In this episode, Andrew and I discuss his new book, Active Statistics, which focuses on teaching and learning statistics through active student...
2024-05-161h 16Learning Bayesian StatisticsActive Statistics, Two Truths & a Lie, with Andrew GelmanProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meIf there is one guest I don’t need to introduce, it’s mister Andrew Gelman. So… I won’t! I will refer you back to his two previous appearances on the show though, because learning from Andrew is always a pleasure. So go ahead and listen to episodes 20 and 27.In this episode, Andrew and I discuss his new book, Active Statistics, which focuses on teaching and learning statistics through active student...
2024-05-161h 16
The Roundtable with Robert Bannon"Scarlett Dreams" Comes To NY! S. Asher Gelman & Andrew Keenan-Bolger Talk All About It!AI? Computers Taking Over Art? Sports? This story is relevant as ever! "Scarlett Dreams" comes to NY for a run at the Greenwich House Theatre! We have the writer S. Asher Gelman here to talk about how the idea and this show came to be! Then we have one of our favorite guests and fellow Podcaster Andrew Keenan-Bolger is here! They are talking about putting this new work on stage and why you need to see it!For Tickets: www.scarlettdreamsplay.com______________________________________________________________________________Check out “The Roundtable with Robert Bannon” everyday right here on The...
2024-04-0121 minEverything Hertz175: Defending against the scientific dark artsWe chat about a recent blogpost from Dorothy Bishop, in which she proposes a Master course that will provide training in fraud detection—what should such a course specifically teach and where would these people work to apply their training? We also discuss whether open science is a cult that has trouble seeing outward.
Links
The blog post on the Master in dark arts defence from Dorothy Bishop
The blog post on whether open science is a cult from Andrew Gelman
Other links
Everything Hertz on social media
Dan on twitter
James on tw...
2023-12-0738 min
Engineering Kiosk#97 Metriken, Hypothesen und Fehler: A/B-Testing in der Praxis mit Philipp MonrealKontinuierliches Lernen mit Hilfe von Experimenten und A/B-TestingIn vielen Diskussion geht es darum, welche Lösung die bessere ist und einen größeren Impact hat. Viele Entscheidungen werden aus dem Bauch heraus getroffen, obwohl gesagt wird, dass wir datengetrieben arbeiten. Doch Daten und Ergebnisse sind oft nicht vorhanden. Experimente mit A/B-Tests sind für solche Situationen das Mittel der Wahl.Hypothese aufstellen. Experiment umsetzen und durchführen. Ergebnis evaluieren. Und das ganze wiederholen. Klingt einfach.Experimentelles Mindset: Check. Doch wie macht man sowas denn im Detail? Auf welche und wie viele Metriken schau...
2023-11-141h 08
We Want Them Infected PodcastPredictions vs. Reality: Examining Dr. Loannidis' ClaimsIn this discussion, Dr. Jonathan Howard and Wendy Orent discuss the early responses to the COVID-19 pandemic and the role of Dr. John E. Loannidis, a renowned scientist. They examine his initial underestimation of the virus's impact, the flaws in his predictions, and his shifting perspectives over time. Resources Mentioned: Dr. John E. Ioannidis' early writings on COVID-19 Stat News article "A Fiasco in the Making: As the Coronavirus Pandemic Takes Hold, We Are Making Decisions Without Reliable Data" (March 17, 2020) European Journal of Clinical Investigation article "Coronavirus Disease 2019: The Harms of Exaggerated Information and...
2023-11-1358 min
arthilynnaudiobooksRead [epub] Regression and Other Stories (Analytical Methods for Social Research) Read !book @ePub**Download Regression and Other Stories (Analytical Methods for Social Research) Full Edition,Full Version,Full Book**by Andrew GelmanReading Now at : https://happyreadingebook.club/?book=1107676517ORDOWNLOAD EBOOK NOW!Read PDF Read [epub]> Regression and Other Stories (Analytical Methods for Social Research) Read !book @ePub Ebook Online PDF Download and Download PDF Read [epub]> Regression and Other Stories (Analytical Methods for Social Research) Read !book @ePub Ebook Online PDF Download by Andrew Gelman [PDF] Download Read [epub]> Regression and Other Stories (Analytical Methods for Social...
2023-10-2300 min
sylsuinalabookEBOOK..!! [READ] Bayesian Data Analysis DOWNLOAD FREE**Download Bayesian Data Analysis Full Edition,Full Version,Full Book**by Andrew GelmanReading Now at : https://happyreadingebook.club/?book=1439840954ORDOWNLOAD EBOOK NOW!Read PDF EBOOK..!! [READ] Bayesian Data Analysis DOWNLOAD FREE Ebook Online PDF Download and Download PDF EBOOK..!! [READ] Bayesian Data Analysis DOWNLOAD FREE Ebook Online PDF Download by Andrew Gelman [PDF] Download EBOOK..!! [READ] Bayesian Data Analysis DOWNLOAD FREE Ebook | READ ONLINE Download EBOOK..!! [READ] Bayesian Data Analysis DOWNLOAD FREE read ebook online PDF EPUB KINDLE Download EBOOK..!! [READ] Bayesian Data Analysis...
2023-10-0600 min
airaslylisbookRead Online Bayesian Data Analysis EBOOKKINDLEEPUBDOCX**Download Bayesian Data Analysis Full Edition,Full Version,Full Book**by Andrew GelmanReading Now at : https://happyreadingebook.club/?book=1439840954ORDOWNLOAD EBOOK NOW!Read PDF Read Online Bayesian Data Analysis EBOOK/KINDLE/EPUB/DOCX Ebook Online PDF Download and Download PDF Read Online Bayesian Data Analysis EBOOK/KINDLE/EPUB/DOCX Ebook Online PDF Download by Andrew Gelman [PDF] Download Read Online Bayesian Data Analysis EBOOK/KINDLE/EPUB/DOCX Ebook | READ ONLINE Download Read Online Bayesian Data Analysis EBOOK/KINDLE/EPUB/DOCX read ebook online PDF...
2023-10-0300 min
Learning Bayesian StatisticsDemystifying MCMC & Variational Inference, with Charles MargossianProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meWhat’s the difference between MCMC and Variational Inference (VI)? Why is MCMC called an approximate method? When should we use VI instead of MCMC?These are some of the captivating (and practical) questions we’ll tackle in this episode. I had the chance to interview Charles Margossian, a research fellow in computational mathematics at the Flatiron Institute, and a core developer of the Stan software.Charles was born and...
2023-09-061h 37Learning Bayesian StatisticsDemystifying MCMC & Variational Inference, with Charles MargossianProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meWhat’s the difference between MCMC and Variational Inference (VI)? Why is MCMC called an approximate method? When should we use VI instead of MCMC?These are some of the captivating (and practical) questions we’ll tackle in this episode. I had the chance to interview Charles Margossian, a research fellow in computational mathematics at the Flatiron Institute, and a core developer of the Stan software.Charles was born and...
2023-09-061h 37
JHLT: The PodcastEpisode 34: September 2023In this special issue of JHLT: The Podcast, the JHLT Digital Media Editors explore just one study—and devote the second half of the episode as a tribute to recently retired Editor-in-Chief, Dr. Daniel R. Goldstein. Digital Media Editor Van-Khue Ton, MD, heart failure and transplant cardiologist at Massachusetts General Hospital, hosts this episode. First, hear from senior author William F. Parker, MD, MS, PhD, on his team’s study “Association of high-priority exceptions with waitlist mortality among heart transplant candidates.” Dr. Parker is a pulmonary and critical care physician, health services researcher, and clinical medical e...
2023-09-0625 min
The Jasmine Star ShowHow to Create More Meaningful Relationships in BusinessWanna know how to become someone that people WANT to work with?Build meaningful relationships. As a business owner, building and sustaining meaningful relationships will help you build trust and credibility, which can lead to more referrals, collaborations, and customers and clients.You might be thinking, ‘Ok, I’ve heard this before, but HOW… how do I create and build these relationships with people?’Lean in, this episode was made for you. I’m diving deep...
2023-08-2252 min
unSILOed with Greg LaBlanc293. Stop Torturing Data feat. Gary SmithWhen scientists game the system to get publishable results, it undermines the legitimacy of science.. Data can be interpreted many different ways and sliced into an infinite number of shapes, but specifically shaping your results to make them fit restrictions leads everyone down the wrong path. This is called torturing data, and it can look like cherry-picking participants or results for a study or getting your results first and then reverse engineering your hypothesis after the fact.Gary Smith is the Fletcher Jones Professor of Economics at Pomona College. He is also the author of several books...
2023-06-1653 min
dewdredrop[KINDLE EBOOK EPUB] Bayesian Data Analysis Reading OnlineDownload Bayesian Data Analysis Full Edition,Full Version,Full Book by Andrew Gelman Reading Now at : https://happyreadingebook.club/?book=1439840954 OR DOWNLOAD EBOOK NOW! [PDF] Download [KINDLE EBOOK EPUB] Bayesian Data Analysis Reading Online Ebook | READ ONLINE Download [KINDLE EBOOK EPUB] Bayesian Data Analysis Reading Online read ebook online PDF EPUB KINDLE Download [KINDLE EBOOK EPUB] Bayesian Data Analysis Reading Online PDF - KINDLE - EPUB - MOBI - AUDIOBOOK
2023-05-2200 min
thethorlthobook[READ] Bayesian Data Analysis [Pdf]$$Download Bayesian Data Analysis Full Edition,Full Version,Full Book by Andrew Gelman Reading Now at : https://happyreadingebook.club/?book=1439840954 OR DOWNLOAD EBOOK NOW! [PDF] Download book[READ] Bayesian Data Analysis [Pdf]$$ Ebook | READ ONLINE Download book[READ] Bayesian Data Analysis [Pdf]$$ read ebook online PDF EPUB KINDLE Download book[READ] Bayesian Data Analysis [Pdf]$$ PDF - KINDLE - EPUB - MOBI - AUDIOBOOK
2023-05-2000 min
Learning Bayesian StatisticsExploring MCMC Sampler Algorithms, with Matt D. HoffmanProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Matt Hoffman has already worked on many topics in his life – music information retrieval, speech enhancement, user behavior modeling, social network analysis, astronomy, you name it.Obviously, picking questions for him was hard, so we ended up talking more or less freely — which is one of my favorite types of episodes, to be honest.You’ll hear about the circumstances Matt would advise picking up Bayesian stats, generalized HMC, blocked samplers, why do the samplers he works on have f...
2023-03-011h 02Learning Bayesian StatisticsExploring MCMC Sampler Algorithms, with Matt D. HoffmanProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Matt Hoffman has already worked on many topics in his life – music information retrieval, speech enhancement, user behavior modeling, social network analysis, astronomy, you name it.Obviously, picking questions for him was hard, so we ended up talking more or less freely — which is one of my favorite types of episodes, to be honest.You’ll hear about the circumstances Matt would advise picking up Bayesian stats, generalized HMC, blocked samplers, why do the samplers he works on have f...
2023-03-011h 02
Learning Bayesian StatisticsThe Past, Present & Future of Stan, with Bob CarpenterProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!How does it feel to switch careers and start a postdoc at age 47? How was it to be one of the people who created the probabilistic programming language Stan? What should the Bayesian community focus on in the coming years?These are just a few of the questions I had for my illustrious guest in this episode — Bob Carpenter. Bob is, of course, a Stan developer, and comes from a math background, with an emphasis on logic and computer science th...
2023-02-011h 11Learning Bayesian StatisticsThe Past, Present & Future of Stan, with Bob CarpenterProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!How does it feel to switch careers and start a postdoc at age 47? How was it to be one of the people who created the probabilistic programming language Stan? What should the Bayesian community focus on in the coming years?These are just a few of the questions I had for my illustrious guest in this episode — Bob Carpenter. Bob is, of course, a Stan developer, and comes from a math background, with an emphasis on logic and computer science th...
2023-02-011h 11
Learning Bayesian StatisticsA Guide to Plotting Inferences & Uncertainties of Bayesian Models, with Jessica HullmanProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!I’m guessing you already tried to communicate the results of a statistical model to non-stats people — it’s hard, right? I’ll be honest: sometimes, I even prefer to take notes during meetings than doing that… But shhh, that’s out secret.But all of this was before. Before I talked with Jessica Hullman. Jessica is the Ginny Rometty associate professor of computer science at Northwestern University.Her work revolves around how to design interfaces to help people draw...
2022-12-231h 00Learning Bayesian StatisticsA Guide to Plotting Inferences & Uncertainties of Bayesian Models, with Jessica HullmanProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!I’m guessing you already tried to communicate the results of a statistical model to non-stats people — it’s hard, right? I’ll be honest: sometimes, I even prefer to take notes during meetings than doing that… But shhh, that’s out secret.But all of this was before. Before I talked with Jessica Hullman. Jessica is the Ginny Rometty associate professor of computer science at Northwestern University.Her work revolves around how to design interfaces to help people draw...
2022-12-231h 00
Increments#46 (Bonus) - Arguing about probability (with Nick Anyos)We make a guest appearance on Nick Anyos' podcast to talk about effective altruism, longtermism, and probability. Nick (very politely) pushes back on our anti-Bayesian credo, and we get deep into the weeds of probability and epistemology.
You can find Nick's podcast on institutional design here, and his substack here.
We discuss:
The lack of feedback loops in longtermism
Whether quantifying your beliefs is helpful
Objective versus subjective knowledge
The difference between prediction and explanation
The difference between Bayesian epistemology and Bayesian statistics
Statistical modelling and when statistics is useful
Links
Philosophy...
2022-12-191h 59
Data StoriesVisualization and Statistics with Andrew Gelman and Jessica Hullman
In this new episode, we talk about the interplay between statistics and data visualization. We do that with Andrew Gelman, Professor of Statistics and Political Science at Columbia University, and Jessica Hullman, Professor of Computer Science at Northwestern University. Andrew started the popular blog “Statistical Modeling, Causal Inference, and Social Science,” which has an active community of readers and has been around for many years. Jessica started contributing lately with many exciting posts, several of which have to do with data visualization. In the episode, we touch upon many topics, including the story behind the blog, the role...
2022-10-0649 min
Daliana's GameBayesian thinking in work and life, ad attribution models and A/B testing, machine learning@Foursquare - Max Sklar - the data scientist show050Max Sklar is an independent engineer and researcher. Previously, he was an engineering and Innovation Labs Advisor at Foursquare after 7 years at the company as a machine learning engineer. Previously, he has worked on Ad Attribution, recommendation engine, ratings. He is the host of The Local Maximum podcast. Max studied CS from Yale, and holds a Master degree in information systems from New York university. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's...
2022-09-131h 30
Sound and VisionAndrew RossAndrew Ross received his BFA from The Cooper Union in 2011, where he was awarded the Gelman Trust Award for Excellence in Sculpture. He attended Skowhegan School of Painting and Sculpture in 2011. He’s been a resident and/or fellow of programs including The Triangle Arts Association, The Drawing Center's Open Sessions, LMCC's Swing Space, The Macedonia Institute, The Bruce High Quality Foundation, and he is a current awardee of Two Trees’ Cultural Space Subsidy Program. Ross has exhibited in group exhibitions at The Hessel Museum, The Drawing Center, The Studio Museum in Harlem, Artists Space, Center for the Humanities at CUNY...
2022-08-111h 10
Data & Science with Glen Wright ColopyEric Daza | Important Ideas in Causal Inference
Eric Daza | Important Ideas in Causal Inference
YouTube: https://youtu.be/K5nsSMJVIT0
Andrew Gelman and Aki Vehtari wrote a paper titled, "What are the most important statistical ideas of the past 50 years?". The first idea in the list is "counterfactual causal inference". Eric Daza (Evidation Health) walks us through the main ideas of the Gelman & Vehtari paper, drawing examples from several fields, including medical & healthcare statistics.
Topics
0:00 - Coming up...Correlation vs Causation
1:20 - Most important statistical ideas over the last 50 years
6:10 - Counterfactual Causal Inference
2022-07-111h 23
Stats + StoriesBig, If True | Stats + Stories Episode 234Most articles that appear in academic journals are kind of mundane in that they’re extending the work of scholars who have come before, or sometimes taking an old theory in a new direction. There are those moments however, when a piece of research holds the possibility of fundamentally remaking a field. How should those articles be handled? What’s the ethical way to review such research? That’s the focus of this episode of Stats and Stories with guest Andrew German.
Andrew Gelman (@StatModeling) is a professor of statistics and political science, and director of the Applied Statistics Center at Col...
2022-06-0228 min
Dana-Farber Data Science PodcastAndrew Gelman, PhD - Election ForecastingHow is statistics used to predict elections? Andrew and Rafa discuss the U.S. 2020 Election and the role of the electoral college, polls, mail-in ballots and voter data in forecasting results and post-election outcomes.Andrew Gelman, PhD is a professor of statistics and political science at Columbia University. He is one of the go-to statisticians for the New York Times and author of perhaps the most popular statistics blog: Statistical Modeling, Causal Inference, and Social Science. He has received the Outstanding Statistical Application award three times from the American Statistical Association, the award for...
2022-05-1147 min
Generally IntelligentAndrew Lampinen, DeepMind. Symbolic behavior, mental time travel, and insights from psychologyAndrew Lampinen is a Research Scientist at DeepMind. He previously completed his Ph.D. in cognitive psychology at Stanford. In this episode, we discuss generalization and transfer learning, how to think about language and symbols, what AI can learn from psychology (and vice versa), mental time travel, and the need for more human-like tasks. [Podcast errata: Susan Goldin-Meadow accidentally referred to as Susan Gelman @00:30:34]
2022-02-281h 59Data & Science with Glen Wright ColopyChris Tosh | The piranha problem in statisticsThe piranha problem (too many large, independent effect sizes influence the same outcome) has received some attention on Andrew Gelman’s blog. But now it’s a paper! Chris Tosh (Memorial Sloan Kettering) talks about multiple views of the piranha problem and detecting the implausible scientific claims that are published. The butterfly effect makes an appearance.
If you enjoyed the science-vs-pseudoscience topics, you’ll enjoy this one.
0:00 - Coming up in the episode
2:35 - What is the Piranha Problem?
19:54 - Confusing effect sizes
23:11 - The "words & walking speed" st...
2022-02-221h 09
Learning Bayesian StatisticsElection forecasting models in Germany, with Marcus GrossDid I mention I like survey data, especially in the context of electoral forecasting? Probably not, as I’m a pretty shy and reserved man. Why are you laughing?? Yeah, that’s true, I’m not that shy… but I did mention my interest for electoral forecasting already!And before doing a full episode where I’ll talk about French elections (yes, that’ll come at one point), let’s talk about one of France’s neighbors — Germany. Our German friends had federal elections a few weeks ago — consequential elections, since they had the hard task of replacing Angela Mer...
2021-12-0958 minLearning Bayesian StatisticsElection forecasting models in Germany, with Marcus GrossDid I mention I like survey data, especially in the context of electoral forecasting? Probably not, as I’m a pretty shy and reserved man. Why are you laughing?? Yeah, that’s true, I’m not that shy… but I did mention my interest for electoral forecasting already!And before doing a full episode where I’ll talk about French elections (yes, that’ll come at one point), let’s talk about one of France’s neighbors — Germany. Our German friends had federal elections a few weeks ago — consequential elections, since they had the hard task of replacing Angela Mer...
2021-12-0958 min
The Michael Decon ProgramCOVID, ALIENS & THE ARCHONS - Robert Bonomo X Michael DeconEpisode 355: The Archons In the last decade, we have seen an exponential change in the manipulation of basic human instincts through a technological and societal shift often referred to as the Fourth Industrial Revolution. Everything we do, from sex, dating, and purchases to political affiliations and how we define ourselves is being manipulated and commoditized. Money is the air of civilization, necessary for just about everything we do outside breathing, but many people still lack a basic understanding of what it is and how it is created. How can we have a democracy if our most basic of necessities is al...
2021-12-051h 19
The Michael Decon ProgramCOVID, ALIENS & THE ARCHONS - Robert Bonomo X Michael DeconEpisode 355: The Archons
In the last decade, we have seen an exponential change in the manipulation of basic human instincts through a technological and societal shift often referred to as the Fourth Industrial Revolution. Everything we do, from sex, dating, and purchases to political affiliations and how we define ourselves is being manipulated and commoditized.
Money is the air of civilization, necessary for just about everything we do outside breathing, but many people still lack a basic understanding of what it is and how it is created. How can we have a democracy if our most basic of necessities is al...
2021-12-051h 19
The Local Maximum with Max SklarEp. 201 - Andrew Gelman, Statistical InsightsMax interviews Professor Andrew Gelman of Columbia on Bayesian Inference, Research, Political Prognostication, Descriptive vs Causal work, and areas of computational research.localmaxradio.com/201 Get full access to The Local Maximum at localmaximum.substack.com/subscribe
2021-11-3033 min
Gradient Dissent: Conversations on AISean Taylor — Business Decision ProblemsSean joins us to chat about ML models and tools at Lyft Rideshare Labs, Python vs R, time series forecasting with Prophet, and election forecasting.
---
Sean Taylor is a Data Scientist at (and former Head of) Lyft Rideshare Labs, and specializes in methods for solving causal inference and business decision problems. Previously, he was a Research Scientist on Facebook's Core Data Science team. His interests include experiments, causal inference, statistics, machine learning, and economics.
Connect with Sean:
Personal website: https://seanjtaylor.com/
Twitter: https://twitter.com/seanjtaylor
LinkedIn: https://www.linkedin.com/in/seanjtaylor/
---
Topics Discussed:
0:00 Sneak peek...
2021-05-1345 minData & Science with Glen Wright ColopyAndrew Gelman & Megan Higgs | Statistics’ Role in Science and PseudoscienceAndrew Gelman & Megan Higgs | Statistics' Role in Science and Pseudoscience
#datascience #statistics #science #pseudoscience
Our science vs pseudoscience discussion continues with Andrew Gelman (Columbia) and Megan Higgs (Critical Inference LLC). Andrew and Megan describe two critical roles that statistics plays in science.... but also how statistics can add the air of scientific rigor to bad research or help statisticians fool themselves. From there the conversation goes on in a way that only a conversation with Andrew and Megan can! A very fun episode.
0:00 - Two roles of sta...
2021-04-301h 11
Learning Bayesian StatisticsMultilevel Regression, Post-stratification & Missing Data, with Lauren KennedyEpisode sponsored by Tidelift: tidelift.comWe already mentioned multilevel regression and post-stratification (MRP, or Mister P) on this podcast, but we didn’t dedicate a full episode to explaining how it works, why it’s useful to deal with non-representative data, and what its limits are. Well, let’s do that now, shall we?To that end, I had the delight to talk with Lauren Kennedy! Lauren is a lecturer in Business Analytics at Monash University in Melbourne, Australia, where she develops new statistical methods to analyze social science data. Working mainly with R and St...
2021-02-251h 12Learning Bayesian StatisticsMultilevel Regression, Post-stratification & Missing Data, with Lauren KennedyEpisode sponsored by Tidelift: tidelift.comWe already mentioned multilevel regression and post-stratification (MRP, or Mister P) on this podcast, but we didn’t dedicate a full episode to explaining how it works, why it’s useful to deal with non-representative data, and what its limits are. Well, let’s do that now, shall we?To that end, I had the delight to talk with Lauren Kennedy! Lauren is a lecturer in Business Analytics at Monash University in Melbourne, Australia, where she develops new statistical methods to analyze social science data. Working mainly with R and St...
2021-02-251h 12
Trash TalkingThere's No Crying in Baseball: A Conversation with Andrew FriedmanJoin co-hosts Jessica Gelman and Daryl Morey as they connect with guest Andrew Friedman, President of Baseball Operations for the reigning MLB champions, the Los Angeles Dodgers. Hear them discuss how the Dodgers leverage analytics to customize individual players' development and maximize their likelihood of success, and what Andrew thinks the biggest opportunities for analytics in the MLB are.
2021-02-0957 min
Futility ClosetA Canine Prisoner of War In 1944, British captives of the Japanese in Sumatra drew morale from an unlikely source: a purebred English pointer who cheered the men, challenged the guards, and served as a model of patient fortitude. In this week's episode of the Futility Closet podcast we'll tell the story of Judy, the canine POW of World War II. We'll also consider the frequency of different birthdays and puzzle over a little sun. Intro: Sherlock Holmes wrote 20 monographs. In 1863, Charles Dickens' hall clock stopped sounding. Sources for our feature on Judy:
2021-01-1830 min
The Purple PrinciplePolarization at the Tipping PointA Major Pandemic… Election 2020 that lasted weeks… Election Denial 2020 is still going months later… Insurrection… Impeachment… And possibly more to come. There’s been a lot of polarized and polarizing events over the past few months. So it seems time to step back and take a longer range, wider-angle view of partisanship in our DisUnited States. The Purple Principle does that in Episode 20 with featured guests Dr. Andrew Gelman of Columbia University (Departments of Political Science and Statistics) and Stephen Hawkins, Research Director of the international non-profit, More in Common, authors of the seminal study on American political ide...
2021-01-1226 min
Nationalism and the Culture Wars podcast2020 Polling Miss and Political CorrectnessI begin by discussing the 2020 polling miss in the context of political correctness and falling Republican trust in institutions. This is followed by discussion with leading American social scientists Doug Massey, Andrew Gelman and others.
From What Happens Next in 6 Minutes podcast
https://whathappensnextin6minutes.podbean.com/
Episode:
https://www.podbean.com/site/EpisodeDownload/PBF4EBBEHSNGC
2021-01-052h 01
Sped up Rationally SpeakingRationally Speaking #147 - Andrew Gelman on "Why do Americans vote the way they do?"There are two contradictory stories about politics and class: On the one hand, that the Republicans are the party of the fat cat businessmen and the Democrats are the party of the people. And on the other hand, that the Republicans are the party of the salt-of-the-earth Joe Sixpacks, while the Democrats are latte-sipping elites. In this episode, professor of statistics and political science Andrew Gelman shines some clarifying light on the intersection between politics and class in America, explaining what the numbers really show. He and Julia also cover the question, "Is it rational to vote?"
S...
2021-01-0350 min
What Happens Next in 6 MinutesPresidential Polling and Constitutional Law - 12.13.2020Co-hosts Larry Bernstein and Rick Banks. Guests include Eric Kaufmann, Doug Massey, Andrew Gelman, W. Joseph Campbell, Larry Kramer, Mark Tushnet and Ganesh Sitaraman. Get full access to What Happens Next in 6 Minutes with Larry Bernstein at www.whathappensnextin6minutes.com/subscribe
2020-12-132h 01
Learning Bayesian Statistics#29 Model Assessment, Non-Parametric Models, And Much More, with Aki VehtariI’ll be honest here: I had a hard time summarizing this episode for you, and, let’s face it, it’s all my guest’s fault! Why? Because Aki Vehtari works on so many interesting projects that it’s hard to sum them all up, even more so because he was very generous with his time for this episode! But let’s try anyway, shall we?So, Aki is an Associate professor in computational probabilistic modeling at Aalto University, Finland. You already heard his delightful Finnish accent on episode 20, with Andrew Gelman and Jennifer Hill, talking about their...
2020-12-021h 05Learning Bayesian Statistics#29 Model Assessment, Non-Parametric Models, And Much More, with Aki VehtariI’ll be honest here: I had a hard time summarizing this episode for you, and, let’s face it, it’s all my guest’s fault! Why? Because Aki Vehtari works on so many interesting projects that it’s hard to sum them all up, even more so because he was very generous with his time for this episode! But let’s try anyway, shall we?So, Aki is an Associate professor in computational probabilistic modeling at Aalto University, Finland. You already heard his delightful Finnish accent on episode 20, with Andrew Gelman and Jennifer Hill, talking about their...
2020-12-021h 05
historiclyMathematics of a Coup - Part 2 with David RosnickLast week, in part 1 we left off the story with the OAS and their hired guns using “Creative mathematics” to defend their attempted coup in Bolivia. Today, David Rosnick from the Center for Economic Policy and Research (CEPR) continues to compare the state of the US elections with that of Bolivia. We also learn about the more nefarious purpose of the OAS, which acts as a US proxy in regime-change. Resources:* October 21, 2019: Original OAS statement (no analysis offered) * October 22, 2019: CEPR Offers a rebuttal * October 23, 2019: Preliminary data shows Mora...
2020-11-0652 min
Learning Bayesian Statistics#27 Modeling the US Presidential Elections, with Andrew Gelman & Merlin HeidemannsIn a few days, a consequential election will take place, as citizens of the United States will go to the polls and elect their president — in fact they already started voting. You probably know a few forecasting models that try to predict what will happen on Election Day — who will get elected, by how much and with which coalition of States?But how do these statistical models work? How do you account for the different sources of uncertainty, be it polling errors, unexpected turnout or media events? How do you model covariation between States? How do you even...
2020-11-011h 00Learning Bayesian Statistics#27 Modeling the US Presidential Elections, with Andrew Gelman & Merlin HeidemannsIn a few days, a consequential election will take place, as citizens of the United States will go to the polls and elect their president — in fact they already started voting. You probably know a few forecasting models that try to predict what will happen on Election Day — who will get elected, by how much and with which coalition of States?But how do these statistical models work? How do you account for the different sources of uncertainty, be it polling errors, unexpected turnout or media events? How do you model covariation between States? How do you even...
2020-11-011h 00
Stats + StoriesCan You Still Predict Elections? | Stats + Stories Episode 162With the 2020 U-S presidential election all but upon us, media are rife with prognostications about which way voters are going to swing. Will reliably red states stay red or will voters produce a blue wave that crashes across the country? Will economic uncertainty trump concerns over COVID 19? Is political polarization really as set-in-stone as some have suggested? Understanding voter behavior is a focus of this episode of Stats and Stories where we explore the statistics behind the stories and the stories behind the statistics with guest Andrew Gelman.
Andrew Gelman is a professor of statistics and political science at Columbia...
2020-10-2928 min
The Artists of Data ScienceStatistics is the Least Important Part of Data Science | Andrew Gelman, PhDAndrew is an American statistician, professor of statistics and political science, and director of the Applied Statistics Center at Columbia University.He frequently writes about Bayesian statistics, displaying data, and interesting trends in social science. He’s also well known for writing posts sharing his thoughts on best statistical practices in the sciences, with a frequent emphasis on what he sees as the absurd and unscientific. FIND ANDREW ONLINEWebsite: https://statmodeling.stat.columbia.edu/Twitter: https://twitter.com/StatModelingQUOTES [00:04:16] "We've already passed peak statistics..."[00:05:13] "One thing that we sometimes like...
2020-10-1257 minData & Science with Glen Wright ColopyPhilosophy of Data Science | S01 E02 | Scientific Reasoning for Practical Data SciencePhilosophy of Data Science Series
Session 1: Scientific Reasoning for Practical Data Science
Episode 2: Scientific Reasoning for Practical Data Science
Scientific reasoning plays an essential role in data science and statistics, both for developing new methods and applying our methods to real-world problems. In Session 1's titular episode, Andrew Gelman talks through the role of scientific thinking in his approach to data analysis. He also highlights the good ideas that have been generated by the wider statistical community.
Watch it on...
YouTube: https://youtu.be/R6mq5Esjzfw
Co...
2020-09-3055 min
The SecretScopeDr. Andrew Hill on Neurofeedback, Brain Mapping & moreThis week we have the one and only Dr. Andrew Hill. He’s a neuro therapist & the founder of the Peak Brain Institute. Listen to this episode as we discuss the foundations of neuro therapy, brain mapping & more. It’s a profound one with a lot of detail so be sure to listen!
If you liked this episode, don’t forget to Rate, Review and Subscribe, it takes 5 seconds! We look forward to hearing your feedback, always!
- Love your Dr. Duo A&S
Follow us on Instagram // Facebook // Tik Tok // Twitter // YOUTUBE
For show notes & much m...
2020-09-2856 minData & Science with Glen Wright ColopyPhilosophy of Data Science | S01 E01 | Critical Reasoning in Medical Machine LearningPhilosophy of Data Science Series
Session 1: Scientific Reasoning for Practical Data Science
Episode 1: Critical Reasoning in Medical Machine Learning
Data science in medicine and healthcare requires not only algorithmic and statistical knowledge but also a strong appreciation of the clinical environment in which (i) the data is being collected and (ii) the algorithm will be used. I'll showcase a scenario where a machine learning system failed to perform a "simple" clinical task and how critical reasoning was used to resolve the problem.
Guest-host Kristin Morgan (University of Connecticut) joins u...
2020-09-2356 minData & Science with Glen Wright ColopyPhilosophy of Data Science | S01E00 | Welcome to the Series!The Philosophy of Data Science Series
Session 1: Scientific Reasoning for Practical Data Science
Episode 0: Welcome to the Philosophy of Data Science Series!
This is our very first episode of "The Philosophy of Data Science" series on Pod of Asclepius!
We go over our plans for the series plus some thoughts on why data science is such a rich field for discussions on scientific reasoning. Your time is valuable and you deserve a good explanation of why the topics were chosen and how the series is structured to ma...
2020-09-1618 min
Learning Bayesian Statistics#21 Gaussian Processes, Bayesian Neural Nets & SIR Models, with Elizaveta SemenovaI bet you heard a lot about epidemiological compartmental models such as SIR in the last few months? But what are they exactly? And why are they so useful for epidemiological modeling? Elizaveta Semenova will tell you why in this episode, by walking us through the case study she recently wrote with the Stan team. She’ll also tell us how she used Gaussian Processes on spatio-temporal data, to study the spread of Malaria, or to fit dose-response curves in pharmaceutical tests. And finally, she’ll tell us how she used Bayesian neural networks for drug t...
2020-08-131h 02Learning Bayesian Statistics#21 Gaussian Processes, Bayesian Neural Nets & SIR Models, with Elizaveta SemenovaI bet you heard a lot about epidemiological compartmental models such as SIR in the last few months? But what are they exactly? And why are they so useful for epidemiological modeling? Elizaveta Semenova will tell you why in this episode, by walking us through the case study she recently wrote with the Stan team. She’ll also tell us how she used Gaussian Processes on spatio-temporal data, to study the spread of Malaria, or to fit dose-response curves in pharmaceutical tests. And finally, she’ll tell us how she used Bayesian neural networks for drug t...
2020-08-131h 02
Learning Bayesian Statistics#20 Regression and Other Stories, with Andrew Gelman, Jennifer Hill & Aki VehtariOnce upon a time, there was an enchanted book filled with hundreds of little plots, applied examples and linear regressions — the prettiest creature that was ever seen. Its authors were excessively fond of it, and its readers loved it even more. This magical book had a nice blue cover made for it, and everybody aptly called it « Regression and other Stories »!As every good fairy tale, this one had its share of villains — the traps where statistical methods fall and fail you; the terrible confounders, lurking in the dark; the ill-measured data that haunt your inferences! But once you...
2020-07-301h 03Learning Bayesian Statistics#20 Regression and Other Stories, with Andrew Gelman, Jennifer Hill & Aki VehtariOnce upon a time, there was an enchanted book filled with hundreds of little plots, applied examples and linear regressions — the prettiest creature that was ever seen. Its authors were excessively fond of it, and its readers loved it even more. This magical book had a nice blue cover made for it, and everybody aptly called it « Regression and other Stories »!As every good fairy tale, this one had its share of villains — the traps where statistical methods fall and fail you; the terrible confounders, lurking in the dark; the ill-measured data that haunt your inferences! But once you...
2020-07-301h 03
Increments#6 - Philosophy of Probability I: IntroductionDon't leave yet - we swear this will be more interesting than it sounds ... ... But a drink will definitely help. Ben and Vaden dive into the interpretations behind probability. What do people mean when they use the word, and why do we use this one tool to describe different concepts. The rowdiness truly kicks in when Vaden releases his pent-up critique of Bayesianism, thereby losing both his friends and PhD position. But at least he's ingratiated himself with Karl Popper. References:Vaden's Slides on a 1975 paper by Irving John Good titled Explicativity, C...
2020-07-021h 17
Learning Bayesian Statistics#SpecialAnnouncement: Patreon Launched!I hope you’re all safe! Some of you also asked me if I had set up a Patreon so that they could help support the show, and that’s why I’m sending this short special episode your way today. I had thought about that, but I wasn’t sure there was a demand for this. Apparently, there is one — at least a small one — so, first, I wanna thank you and say how grateful I am to be in a community that values this kind of work!The Patreon page is now live at patreon.com/learnbay...
2020-06-2607 minLearning Bayesian Statistics#SpecialAnnouncement: Patreon Launched!I hope you’re all safe! Some of you also asked me if I had set up a Patreon so that they could help support the show, and that’s why I’m sending this short special episode your way today. I had thought about that, but I wasn’t sure there was a demand for this. Apparently, there is one — at least a small one — so, first, I wanna thank you and say how grateful I am to be in a community that values this kind of work!The Patreon page is now live at patreon.com/learnbay...
2020-06-2607 min
PODMÉTODOSEp. 08: Estatística: frequentista e bayesianaNesse episódio, Amanda Domingos (@domingosamanda4) e Rodrigo Lins (@rodrigo_lins) recebem Manoel Galdino (@mgaldino), diretor da Transparência Brasil, e Ranulfo Paranhos (@RanulfoParanhos), professor do Instituto de Ciências Sociais ds UFAL, para conversar um pouco sobre o que é e pra quê serve a estatística, principalmente nas Ciências Sociais, além de debater um pouco sobre as duas abordagens da disciplina: o frequentismo e o bayesianismo.
Indicações:
1. Blog do Andrew Gelman: https://www.andrewgelman.com/
2. Gelman, A., & Hill, J...
2020-06-1849 min
Data StoriesHighlights from IEEE VIS'19 with Tamara Munzner and Robert Kosara
We have Tamara Munzner from the University of British Columbia, Vancouver, and Robert Kosara from Tableau Research on the show to go through some of our personal highlights from the IEEE Visualization Conference 2019. We talk about some of the co-located events, some of the technical papers and major trends observed this year. Make sure to take a look at the links below, there is a lot of material! And especially the videos. There are quite a few that have been posted online this year.
Enjoy the show!
[Our podcast is fully listener-supported. That’s w...
2019-11-201h 02
PyDataMCREpisode 8 - Mucking around and making things work Ft. Tom LiptrotWelcome to PyDataMCR episode 8 , today we are talking to Tom Liptrot who is a Consultant Data Scientist at Ortom, a Manchester based Data Science Consultancy.
We talk about how flexibility at work can lead to great data products, some various meetups Tom will be attending and even some stand up comedy.
Show Notes
Sponsors
Arctic Shores - arcticshores.com/
Cathcart Associates - cathcartassociates.com/
Meetups
Pydatamcr - https://www.meetup.com/PyData-Manchester/
Macnml - https://www.mancml.io/
...
2019-09-2447 min
The Local Maximum with Max SklarEp. 81 - Junk Science, Click Bait, and Meaningless ExperimentsEver feel like there’s something wrong with all the news and information you consume, even when you get it from professional scientists and doctors?We tackle the reproducibility crisis in science today starting with taking a look at some mudslinging between high profile online academics Andrew Gelman and Cass Sunstein.We also talk about the probable over-publishing of studies in stock market prediction and elsewhere, and scientists reading too much when interpreting results to fit their narrative and ideology.localmaxradio.com/81 Get full access to The Local Maximum at localmaximum.substack.co...
2019-08-2749 min
justinrobertyoung"How much stock should we put in polls this early in a race?" - Px3 Interview with Andrew GelmanAndrew Gelman a professor of statistics and political science at Columbia University answers all of Justin's questions about how much to pay attention to polling this early, if we are going to see as many poll aggregators in this election cycle and how predictable voters are.
2019-06-2533 min
The New Liberal PodcastSignificant Science ft. Dr Andrew GelmanJeremiah sits down with Dr. Andrew Gelman to discuss the replication crisis in science - how it began, what we know and how we should think about science moving forward. Patreon subscribers get access to bonus episodes and sticker of the month club. If you like what we do (and want stickers each month!) please consider supporting us at patreon.com/neoliberalproject.
2019-01-1953 min
DataFramed#43 Election Forecasting and PollingHugo speaks with Andrew Gelman about statistics, data science, polling, and election forecasting. Andy is a professor of statistics and political science and director of the Applied Statistics Center at Columbia University and this week we’ll be talking the ins and outs of general polling and election forecasting, the biggest challenges in gauging public opinion, the ever-present challenge of getting representative samples in order to model the world and the types of corrections statisticians can and do perform. "Chatting with Andy was an absolute delight and I cannot wait to share it with you!"-Hugo
Links...
2018-10-081h 05
Data StoriesData Science and Visualization with David Robinson[Data Stories runs thanks to the help of our listeners. Please consider supporting us on Patreon or sending us a one-time donation through Paypal. And thanks so much for your support!]
This week we have David Robinson on the show to talk about data science, in particular the role of data visualization in data science. David is Chief Scientist at Data Camp and author of multiple data science books and R packages. He also writes a great blog called “Variance Explained.”
On the show we talk about visualization as a data analysis tool, the problem of val...
2018-05-2338 min
Wizard of Ads Monday Morning Memo“No One Listens to the Radio Anymore”“Radio is dying.”“Radio is dead.”“My friends and I don’t listen to the radio. We (blah, blah, blah) instead.”“No one listens to the radio anymore, especially in high-tech places like San Francisco, in the heart of Silicon Valley. That’s right, isn’t it?”Isn’t it?A few paragraphs from now, I’m going to tell you exactly how many people we’re reaching in San Francisco each week and precisely how many times the average San Franciscan hears our radio ad.But first, let’s look at why we...
2018-04-3007 min
NonProphetsEp. 56: Straight Outta ChumptownEpisode 56 of the NonProphets podcast, in which Atief, Robert, and Scott discuss "the backfire effect"—the fact that people sometimes seem to hold ideas even more firmly after being confronted with evidence they are wrong. We talk about Andrew Gelman's skepticism of the recent New England Journal of Medicine finding that firearm injuries in the US drop 20% while NRA members are attending national meetings (00:50); how skeptical we should be of research that seem to confirm our preconceptions (04:14); whether evidence can change people's minds (15:27); "The Debunking Handbook" techniques for correcting false ideas (18:48); research into how much contrary information it takes to...
2018-04-2500 min
EconTalkAndrew Gelman on Social Science, Small Samples, and the Garden of the Forking PathsStatistician, blogger, and author Andrew Gelman of Columbia University talks with EconTalk host Russ Roberts about the challenges facing psychologists and economists when using small samples. On the surface, finding statistically significant results in a small sample would seem to be extremely impressive and would make one even more confident that a larger sample would find even stronger evidence. Yet, larger samples often fail to lead to replication. Gelman discusses how this phenomenon is rooted in the incentives built into human nature and the publication process. The conversation closes with a general discussion of the nature of empirical work...
2017-03-201h 07
The Chauncey DeVega ShowEp. 128: Andrew Gelman Clarifies Some Misconceptions About the 2016 Election, Mama DeVega Returns, and Jane Elliott Chimes InThis week's episode of The Chauncey DeVega Show features three great guests. Political scientist and statistician Andrew Gelman is the first guest. He is a professor at Columbia University and the author of several books including Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do. He recently wrote a great piece for Slate called "19 Lessons for Political Scientists from the 2016 Election". During this week's episode, Dr. Gelman does some great teaching and sharing about the 2016 presidential election and what the so-called "smart people" got right and wrong. Civil rights a...
2017-03-171h 18
Hi-Phi NationHackademics II: The HackersOne scientist decided to put the entire field of psychology to test to see how many of its findings hold up to scrutiny. At the same time, he had scientists bet on the success-rate of their own field. We look at the surprising paradoxes of humans being human, trying to learn about humans, and the elusive knowledge of human nature. Guest voices include Brian Nosek of the Center for Open Science, Andrew Gelman of Columbia University, Deborah Mayo of Virginia Tech, and Matthew Makel of Duke TiP. A philosophical take on the replication crisis in the sciences.
Learn more about...
2017-03-1441 min
Hi-Phi NationHackademics II: The HackersOne scientist decided to put the entire field of psychology to test to see how many of its findings hold up to scrutiny. At the same time, he had scientists bet on the success-rate of their own field. We look at the surprising paradoxes of humans being human, trying to learn about humans, and the elusive knowledge of human nature. Guest voices include Brian Nosek of the Center for Open Science, Andrew Gelman of Columbia University, Deborah Mayo of Virginia Tech, and Matthew Makel of Duke TiP. A philosophical take on the replication crisis in the sciences.
2017-03-1444 min
Dave's Corner GarageDaves-Corner-Garage-Oct-29-2011On this edition of Dave's Corner Garage, Dave Redinger and Alan Gelman talk to Andrew Goodwin from Quick Lane. As well, Mark from East Cout Ford joins them to discuss winterizing your car.
2016-10-1447 min
Very Bad WizardsMockingbirds, Destructo-Critics, and Mr. RobotDavid and Tamler tackle three topics on their last double digit episode. First, should a middle school perform "To Kill a Mockingbird" even if they have to use bad language the "n-word," and talk about sexual assault? Tamler relates a story involving his daughter (who was supposed to play Scout) and a playwright who refused to allow his play to be censored. But when it comes to drama, middle school's got nothing on social psychology. Next, David and Tamler break down the latest controversy surrounding Princeton psychologist Susan Fiske's leaked column about the bullying destructo-critics and methodological terrorists that...
2016-09-272h 03
The Bayesian Conspiracy11 – VotingIs it rational to vote?
We realize the audio quality when we have live guests is terrible, we’re working to fix that now, hopefully things will start sounding better very soon. Thanks for bearing with us!
Eneasz wants to say that his understanding of Timeless Decision Theory is likely flawed, because it is big and complicated and he is small and simple. His interpretation of it in this episode is not necessarily entirely correct, it is merely his best understanding. He is, as always, open to correction.
Mentioned in this episode:
...
2016-06-221h 12Very Bad WizardsTotalitarian Slide-RulersDavid and Tamler take a break from their main jobs as TV critics to talk about a masterpiece in political philosophy: "Two Concepts of Liberty" by Isaiah Berlin. While they both celebrate the style and substance of this classic essay, in a startling twist Tamler praises conceptual analysis and David expresses a few misgivings about his Kantianism. What is the elusive idea of positive liberty, and how can its pursuit lead to totalitarian rule? When is it more important to buy boots than read Russian poetry? And why is David still so depressed by pluralism? Plus, coddling in Wisconsin? And a...
2016-01-261h 05
Rationally Speaking PodcastRationally Speaking #147 - Andrew Gelman on "Why do Americans vote the way they do?"There are two contradictory stories about politics and class: On the one hand, that the Republicans are the party of the fat cat businessmen and the Democrats are the party of the people. And on the other hand, that the Republicans are the party of the salt-of-the-earth Joe Sixpacks, while the Democrats are latte-sipping elites. In this episode, professor of statistics and political science Andrew Gelman shines some clarifying light on the intersection between politics and class in America, explaining what the numbers really show. He and Julia also cover the question, "Is it rational to vote?"
2015-11-1652 min
Data StoriesScience Communication at SciAm w/ Jen Christiansen
This episode of Data Stories is sponsored by Tableau. You can download a free trial at http://tableau.com/datastories.
Hey yo, we have Jen Christiansen from Scientific American with us in DS#52.
Jen is art director of information graphics at Scientific American magazine where she is been for about then years and she has a background in natural science illustration from the University of California, Santa Cruz.
Science communication is one of our favorite topics and we are so happy to have such an amazing expert like Jen on th...
2015-04-021h 02
The Tome ShowAdvantage and Disadvantage (Bonus Action 001)Welcome to the inaugural episode of the Bonus Action podcast. This show is about the rules of the 5th edition of Dungeons and Dragons and we plan to explore those rules one by one. In this episode Sam and James discuss the Advantage/Disadvantage mechanic. You can find an explanation of this rule in the Basic D&D PDF on page 57 or in the 5e D&D Player’s Handbook on page 173.
Links:
D&D 5e Basic PDF: http://dnd.wizards.com/articles/features/basicrules
James’ blog: http://www.worldbuilderblog.me
Sam’s...
2014-12-1014 minThe Tome ShowAdvantage and Disadvantage (Bonus Action 001)Welcome to the inaugural episode of the Bonus Action podcast. This show is about the rules of the 5th edition of Dungeons and Dragons and we plan to explore those rules one by one. In this episode Sam and James discuss the Advantage/Disadvantage mechanic. You can find an explanation of this rule in the Basic D&D PDF on page 57 or in the 5e D&D Player’s Handbook on page 173.
Links:
D&D 5e Basic PDF: http://dnd.wizards.com/articles/features/basicrules
James’ blog: http://www.worldbuilderblog.me
Sam’s...
2014-12-1014 min
Food Safety TalkFood Safety Talk 57: My Own Tea MuleThe guys started the show by sharing some family traditions including watching Jeopardy and drinking Rooibos tea. They then discussed some raw milk questions posed by raw milk producer. Don suggested that there was specific scientific evidence to answer many of them. He also wondered about the scientific basis of some of the information presented in a recent RMI webinar. Don then shared that he'll be podcast cheating again on an upcoming Raw Food Real Talk episode on cottage food. The guys then transitioned to a recent cheese related Listeriosis outbreak affecting members of the Hispanic community. While health authorities...
2014-03-171h 54
Department of Sociology PodcastsAndrew Gelman on teaching quantitative methods to social science studentsAndrew Gelman (Columbia University, NYC) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students.
2013-11-1858 minDepartment of Sociology PodcastsAndrew Gelman on teaching quantitative methods to social science studentsAndrew Gelman (Columbia University, NYC) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students.
2013-11-1800 min