Podcasts about Selection bias

Welcome to the September 2024 edition of Andrew's Random Ramblings on the Yet Another Value Podcast. Once a month, Andrew will share thoughts on a few topics - this episode includes: heavy selection bias, probabilities and waiting and how people value them, and returns on fame. Chapters: [0:00] Introduction to Andrew's Random Ramblings + Episode sponsor: Daloopa [1:36] What are the returns for folks focused on one company, one sector [7:25] Probabilities and terminal 0's [12:57] Returns on fame Today's sponsor: Daloopa Hey there, fundamental analysts - Are you tired of the endless grind of updating financial models, scrubbing documents, and hard coding? Let's talk about something that could transform your workflow—Daloopa. Daloopa delivers perfect historicals for thousands of public companies. That means every KPI, operating data, financial metric, adjustment, and guidance—all at your fingertips. And here's the best part: Daloopa updates your models in near real-time, which is especially important during earnings season, tailored to your modeling format and style. Imagine never having to update your models again. With Daloopa, you can reclaim your time and focus on what really matters—analysis and research. Want to learn more? Create a FREE account at Daloopa.com/YAV

In episode 1639, Jack and Miles are joined by movement lawyer, political commentator, public defender, and host of Olurinatti, Olayemi Olurin, to discuss… The Social Impact Of Copaganda, The Menu Of Shows Is Staggering, There Are Some Pretty Staggering Myths Buried In Law And Order Specifically, More Than The Cops This Helps Obfuscate The Role Of Prosecutors, Selection Bias, We Never Defunded The Police and more! LISTEN: stayinit by Fred again... & Lil Yachty & OvermonoSee omnystudio.com/listener for privacy information.

People use numbers to convince, persuade, and even sometimes to manipulate or fool others. This mini-series will help you recognize them! When you can recognize the foolishness, you won't get fooled by it! Want to test yourself on how well you can recognize fallacies in real life? Take the Meme Fallacy Quiz! www.filteritthroughabraincell.com/quiz Learn more about Crazy Thinkers: www.filteritthroughabraincell.com/crazy Here's how you can purchase the Logical Fallacies ebook: https://www.filteritthroughabraincell.com/offers/z6xbAcB2 Send me any questions, comments or even the fallacies you're seeing around you! think@filteritthroughabraincell.com Or, tag me on Instagram: @filteritthroughabraincell Sign up on my email list at: www.filteritthroughabraincell.com/contact To take the YouScience Talent Assessment: Website: https://www.wellspentsolutions.com/discoverregistration Get 20% off with discount code FILTERIT20 Thank you to our sponsor, CTC Math! Website: https://www.ctcmath.com/?tr_id=brain Homeschool page: https://www.ctcmath.com/how-it-works/home-school?tr_id=brain Free trail: https://www.ctcmath.com/trial?tr_id=brain Special offer! Get 1/2-off discounts plus bonus 6-months free! https://www.ctcmath.com/purchase/homeschool50?tr_id=BRAIN

Naturwissenschaft und die Psychologie.Alex‘ ungewöhnliche Schulreferate;  Der komplexe Mensch & die Logik des Steins; Viele Fragen. Alex hielt in der Schule gerne außergewöhnliche Referate. Nachgespielte Szenen von RTL Samstagnacht im Musikunterricht und die Erklärung der Plattentektonik anhand von Toasts in Erdkunde. Sein Traum war in die Filmbranche zu gehen. Dementsprechend außergewöhnlich waren seine Vorträge mit Story, 3D-Effekten und Interfaces. Seine schon damalige kreative Ader und die Freude am Erschaffen kamen da schon in Aktion. Zum Glück gab es damals noch kein Youtube, denn einige Aufnahmen könnten Alex' Wahl zum Präsidenten vermutlich verhindern...Mehr von seinen Geschichten heben wir uns für ein anderes Mal auf. Alex greift ein vorheriges Thema auf: Ist die Psychologie eine oder keine harte Naturwissenschaft? Was meint er überhaupt damit? Alex glaubt, er konnte Chris seinen Standpunkt nicht verständlich darbringen. Alex betont, dass die Komplexität der menschlichen Natur eine Herausforderung für wissenschaftliche Betrachtungen darstellt, während Chris auf die intersubjektive Natur von Wissen hinweist und die Schwierigkeiten bei der Definition von Objektivität in den Humanwissenschaften. Ein Stein wäre einfacher zu messen als der Mensch. Oder stimmt am Ende das Betrachtungs-Level nicht, anhand dessen die Beiden versuchen zu einer Lösung zu kommen? Ist Linguistik und Physik das gleiche? Wir einigen uns auf viele offene Fragen. Die Gemeinsamkeit bei Sprache und Wissenschaft. Sprache, ein „Super Human System“, da Sprache in der Kombination von Menschen entsteht. Es gibt keine Betrachtung ohne Kontext. Chris philosophiert über die Frage, was die Linguistik von der Physik trennt, die Einteilung ob Wissenschaft sich mit menschengemachten Systemen auseinandersetzt oder mit von der naturgemachten Systemen. Wir stoßen auf Fragen der Kausalität und diskutieren psychologische Experimente, die die Vielfalt der menschlichen Erfahrung beleuchten. Chris teilt seine Liebe zu psychologischen Experimenten und betont die Schwierigkeiten, Gemeinsamkeiten in der Vielfalt der Menschen zu finden.Chris erzählt von Experimenten (mit Zufallsverteilung) und Ihren Vorteilen, bei dem die Gemeinsamkeiten der Unterschiede mit Statistik berechnet werden sollen. Alex wirft ein, dass die Frage einem Selection Bias vorliegen kann. Weil aus einer bestimmten Gruppe, nicht von allen Menschen auf der Welt oder aller Zeiten zufällig gezogen wurde. Die Schwierigkeiten bei der Gestaltung von Tests und Designs, die kulturelle Vielfalt zu berücksichtigen. Wir versuchen die Gemeinsamkeiten der Menschen zu finden und etwas zu kreieren, was jeder versteht. Eine unmögliche Aufgabe.Tauche ein in die Welt der Kreativität, Psychologie und menschlichen Vielfalt. Viel Spaß beim Zuhören und dem Versuch, die Steinlogik in der Vielfalt der menschlichen Erfahrung zu finden. In dieser Folge erwähnt:Vampir Effekt: https://de.wikipedia.org/wiki/Vampir-EffektArtikel über Lise Meitner: https://www.nytimes.com/2023/10/02/science/lise-meitner-fission-nobel.htmlLise Meitner: https://de.wikipedia.org/wiki/Lise_MeitnerOrder of magnitude: https://en.wikipedia.org/wiki/Order_of_magnitude

CTE is suprisingly common - but, it can only be diagnosed post-mortem, & by a forensic expert. So, how is does an examination work? And why is it so hard to have one done?  Dr Linda Iles is a forensic neuropathologist, and someone who performs post-mortem brain examinations on people every single day. What she discovers in these exams is extraordinary, and telling to the life that person lead.  More recently, CTE has been something she's on the look out for.  Chronic Traumatic Encephalopathy is a progressive degenerative brain disease typically found in individuals with a history of repetitive brain trauma, such as athletes involved in contact sports like AFL, NRL, soccer and martial arts.  Understand how someone is diagnosed post-mortem, and the intricate details of brain examinations with host Kathryn Fox; as she chats with Victorian Institute of Forensic Medicine's Dr Linda Iles.  For more information on CTE or if anyone you know is showing symptoms and you need support, visit the following resources:  https://www.concussionfoundation.com.au/helpline  See omnystudio.com/listener for privacy information.

In this episode we feature a super expert on all things related to selection bias, Dr. Chanelle Howe. There are a lot of confusing issues related to selection bias: how it's defined, how it relates to collider stratification bias, whether it's a threat to internal or external validity (or both!). Chanelle helps us understand many of the nuances related to selection bias and provides helpful resources for readers interested in learning more about the topic. Is a lack of exchangeability related to confounding bias or selection? How can DAGs help us decipher the difference between confounding bias and selection? Can you have selection bias in a prospective cohort study? Join us to find out the answers to all of these questions and much more! Resources: Hernán MA. Invited Commentary: Selection Bias Without Colliders. Am J Epidemiol. 2017 Jun 1;185(11):1048-1050. doi: 10.1093/aje/kwx077. PMID: 28535177; PMCID: PMC6664806. Lu H, Cole SR, Howe CJ, Westreich D. Toward a Clearer Definition of Selection Bias When Estimating Causal Effects. Epidemiology. 2022 Sep 1;33(5):699-706. doi: 10.1097/EDE.0000000000001516. Epub 2022 Jun 6. PMID: 35700187; PMCID: PMC9378569. Howe CJ, Cole SR, Chmiel JS, Muñoz A. Limitation of inverse probability-of-censoring weights in estimating survival in the presence of strong selection bias. Am J Epidemiol. 2011 Mar 1;173(5):569-77. doi: 10.1093/aje/kwq385. Epub 2011 Feb 2. PMID: 21289029; PMCID: PMC3105434.

If you ran a survey at a science fiction convention to find out which movies were most popular with the general public, chances are good that the results would lean heavily towards sci-fi films. This skewing of data is plain to see in this context, but in many others it's less obvious and potentially more pernicious.In this episode of Choiceology with Katy Milkman, we look at a bias that can distort information that we gather from the world around us.First, W. Joseph Campbell tells the story of the infamous Literary Digest election poll of 1936. The publication had correctly predicted several presidential elections in the 1920s and '30s and was considered the most reputable pollster of its day. They sent millions of surveys to people across the United States in advance of the 1936 election. But this time, their predictions couldn't have been further from the results.W. Joseph Campbell is a professor of communications at American University and author of Lost in a Gallup: Polling Failure in U.S. Presidential Elections.Next, Katy speaks with Emily Oster about research that shows how a bias in the way information is collected and presented can affect many decisions, especially ones related to health and parenting. You can read more in her latest book, The Family Firm: A Data-Driven Guide to Better Decision Making in the Early School Years.Emily Oster is the JJE Goldman Sachs University Professor of Economics at Brown University.Choiceology is an original podcast from Charles Schwab. For more on the series, visit schwab.com/podcast.If you enjoy the show, please leave a ⭐⭐⭐⭐⭐ rating or review on Apple Podcasts. Important DisclosuresAll expressions of opinion are subject to change without notice in reaction to shifting market conditions.The comments, views, and opinions expressed in the presentation are those of the speakers and do not necessarily represent the views of Charles Schwab. Data contained herein from third-party providers is obtained from what are considered reliable sources. However, its accuracy, completeness or reliability cannot be guaranteed.The policy analysis provided by the Charles Schwab & Co., Inc., does not constitute and should not be interpreted as an endorsement of any political party.Investing involves risk, including loss of principal.The book, How to Change: The Science of Getting from Where You Are to Where You Want to Be, is not affiliated with, sponsored by, or endorsed by Charles Schwab & Co., Inc. (CS&Co.). Charles Schwab & Co., Inc. (CS&Co.) has not reviewed the book and makes no representations about its content. Apple Podcasts and the Apple logo are trademarks of Apple Inc., registered in the U.S. and other countries.Google Podcasts and the Google Podcasts logo are trademarks of Google LLC.Spotify and the Spotify logo are registered trademarks of Spotify AB.(0523-38JC) 

Narcissism lives in all of us to some degree as on a spectrum. And it's easy to see how having even a tinge of narcissism could have been a valuable survival tool over the ages. But like with everything, there is a limit to what is healthy and what is toxic. Psychologist and author of Rethinking Narcissism Dr. Craig Malkin talks about the extroverted narcissist, i.e. “the narcissist we all know and loathe”, but says there are others. And like with most things there is an equal and opposite thing that compliments it. Meet the narcissist and its foil, the echoist. A match made in heaven? Not even close. Malkin describes his echoist relationship with his narcissist mother, the barriers people have to getting out of toxic relationships, the importance of anger and how a certain medication can help - if the narcissist actually thinks they need it. If you have questions or guest suggestions, Ali would love to hear from you. Call or text her at (323) 364-6356. Or email go-ask-ali-podcast-at-gmail.com. (No dashes) **Go Ask Ali has been nominated for a Webby Award for Best Interview/Talk Show Episode! Please vote for her and the whole team at https://bit.ly/415e8uN by April 20, 2023! Links of Interest: Dr. Craig Malkin Rethinking Narcissism: The Secret to Recognizing and Coping with Narcissists Instagram  YouTube The Communal Narcissist: A New Kind of Narcissist? (Psychology Today) The Most Narcissistic U.S. Presidents (Pew Research, 2013) Malignant Narcissism: Does the President Have it? (Psychology Today, 2020) CREDITS: Executive Producers: Sandie Bailey, Alex Alcheh, Lauren Hohman, Tyler Klang & Gabrielle Collins Producer & Editor: Brooke Peterson-Bell Associate Producer: Akiya McKnightSee omnystudio.com/listener for privacy information.

https://astralcodexten.substack.com/p/selection-bias-is-a-fact-of-life Sometimes people do amateur research through online surveys. Then they find interesting things. Then their commenters say it doesn't count, because “selection bias!” This has been happening to Aella for years, but people try it sometimes on me too. I think these people are operating off some model where amateur surveys necessarily have selection bias, because they only capture the survey-maker's Twitter followers, or blog readers, or some other weird highly-selected snapshot of the Internet-using public. But real studies by professional scientists don't have selection bias, because . . . sorry, I don't know how their model would end this sentence. The real studies by professional scientists usually use Psych 101 students at the professional scientists' university. Or sometimes they will put up a flyer on a bulletin board in town, saying “Earn $10 By Participating In A Study!” in which case their population will be selected for people who want $10 (poor people, bored people, etc). Sometimes the scientists will get really into cross-cultural research, and retest their hypothesis on various primitive tribes - in which case their population will be selected for the primitive tribes that don't murder scientists who try to study them. As far as I know, nobody in history has ever done a psychology study on a truly representative sample of the world population. This is fine. Why?

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.12.30.520322v1?rss=1 Authors: Kaduk, K., Wilke, M., Kagan, I. Abstract: Dorsal pulvinar has been implicated in visuospatial attentional and perceptual confidence processing. Perturbations of the dorsal pulvinar also induce an overt spatial saccade bias during free choices. But it remains unclear whether the dorsal pulvinar inactivation during an oculomotor target selection based on a perceptual decision will lead to perceptual impairment or a more general orienting deficit. To address this question, we reversibly inactivated unilateral dorsal pulvinar by injecting GABA-A agonist THIP while two macaque monkeys performed a color discrimination saccade response task with varying perceptual difficulty. We used Signal Detection Theory to dissociate perceptual discrimination (dprime) and spatial selection bias (response criterion) effects. We expected a decrease in dprime if dorsal pulvinar affects perceptual discrimination and a shift in response criterion if dorsal pulvinar is mainly involved in spatial orienting. After inactivation, we observed response criterion shifts away from contralesional stimuli, especially when two competing peripheral stimuli in opposite hemifields were present, for both difficulty levels. The saccade latency for the contralesional selection increased under all conditions. Notably, the dprime and overall accuracy remained largely unaffected. Our results underline the critical contribution of the dorsal pulvinar to spatial orienting while being less important for perceptual discrimination. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Episode #202 // Despite the very vocal and public focus on Diversity & Inclusion in the last 10+ years, it still appears to be a huge struggle for most organizations. It seems that the inertia created by the entrenched structures, processes, and attitudes is way harder to overcome than anyone might have imagined. When it comes to diversity, many countries, industries, and businesses have put rules in place to encourage speed of adoption, and to accelerate the rate of change… once again, this is clearly not working in most cases. In the US, the National Football League (NFL) implemented something called The Rooney Rule almost 20 years ago. This rule was designed to eliminate selection bias against African American coaches in the sport, but it has recently come under severe criticism. In this episode, I take a deep look at selection bias, and offer my seven hot tips for eliminating selection bias, and improving your hiring outcomes.

Every year, shareholders globally lose $112b because the wrong CEOs are picked to lead companies. So in this, the second episode of our five-part special on Succession Planning, organisational psychologist & CEO of O-Psych Hetal Doshi talks to us about CEO myths - who they are & who they're not, the types of biases we often see in the CEO selection process, as well as what we can do to reduce the impact of these biases.Image Credit: shutterstock | Gajus

Efter att ha varit i kända vatten i två avsnitt så kastar oss ut i djupt vatten för att lära oss om biotech, vi bjuder in biotechanalytikern Fredrik Thor för att lära oss mer. Hur man tar ett läkemedel från forskningsprojekt till kommersialisering, men även diskuterar vi och reflekterar runt hur man ska agera och tolka de olika studierna bolagen presenterar under sin resa till kommersialisering. Ett väldigt lärorikt avsnitt för oss och förhoppningsvis för dig också, men även för den lite mer kunnig.Kom gärna med fler frågor ifall det var något du tyckte vi missa eller kunde förklara bättre. Vi tar mer än gärna feedback!Spelschema (viss avvikelse kan ske beroende på spelare)(00:52) - Välkommen Fredrik Thor(01:13) - Vad är Orphan Drugs?(01:58) - Fas-1 studie(04:12) - Selection Bias i Fas-1 studie(06:14) - Hur många läkemedel klarar fas-1 studier (06:50) - Fas 2 studie(08:56) - Hur många läkemedel klarar fas-2 studier (13:41) - Vad är viktigt med label i ett case? (14:50) - Hur ser ett licenseringsavtal ut? (17:27) - Fas-3 studie (19:30) - Utformning av studie (20:10) - Vad tar man hänsyn till i fas-3 studien? (22:05) - Hur beter sig biotechaktier vid varje avslutad studie?(27:44) - Ansökan för att godkänna bolag(28:25) - USAs betydelse i kommersialiseringen(30:30) - Vad är riskerna efter att ha fått ett positiv utfall i en fas-3(34:06) - Nyemissioner i biotechbolag(35:27) - Varför noterar sig biotechbolag i USA och i Sverige (37:30) - Skillnaden mellan att värde biotechbolag och andra bolag (43:55) - Får man en edge i kunna läsa och förstå studiedata? (45:41) - Statistik och tips(48:29) - Tips när man investerar i biotech Vi vill mer än gärna ha er feedback! Hör av er på rah.podcast@redeye.se eller på twitter till @RedeyeAfterHour.

In todays episode we discuss the process of selection bias and how it effects your company. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

I think we are slowly approximating the end of the topic of biases. No, please do not think, the biases are over - a friend and colleague of mine Professor Ganna Pogrebna wrote a book on biases in research and, believe me, there are many more. So feel free to google this book or write in comments if you haven't managed to find it. In this podcast, I mentioned only the main biases I encountered during my research.  Today, we talk about sample selection bias. It is dangerous in research but even more dangerous is this bias in politics when election polls are conducted. Listen carefully and try to avoid this bias in your research. Good luck! Eugene (Yevgen)

In this episode, we are considering the Sample Selection Bias. Sample Selection Bias is a systematic error caused by choosing non-random data for statistical and qualitative analysis. The bias exists due to a flaw in the sample selection process, where a subset of the data is excluded due to a particular attribute, sampling technique or even geographic location; resulting in a biased sample, defined as a statistical sample of a population in which all participants are not equally balanced or objectively represented. The exclusion of the subset can influence the statistical significance and produces distorted results.

Wie findet man heraus, ob Rauchen wirklich schädlich ist und ob Corona-Maßnahmen wirksam sind? Aus Forschungssicht ist das erstaunlich schwierig, weil der "Selection Bias" viele Untersuchungen ungenau macht. Die Nobelpreisträger dieses Jahres haben eine Methode entwickelt, wie man das Problem weitgehend korrigieren kann. Die Details dazu in diesem Video. Mein Instragam-Account: https://www.instagram.com/profrieck/ Bücher von mir: Wenn Sie lieber nicht bei Amazon kaufen, können Sie gern diesen unabhängigen Anbieter unterstützen: www.aha-buch.de (Ich bekomme keine Provision, aber Aha-Buch hat meine Bücher fast immer vorrätig.) Ansonsten auch bei Amazon (hier bekomme ich eine kleine Provision): Die 36 Strategeme der Krise: Print: https://www.amazon.de/exec/obidos/ASI... Kindle: https://www.amazon.de/exec/obidos/ASI... Digni-Geld - Einkommen in den Zeiten der Roboter: print: http://www.amazon.de/exec/obidos/ASIN... Ebook: http://www.amazon.de/exec/obidos/ASIN... Rettung vor dem Euro: https://www.aha-buch.de/details/INF10... * Von mir erwähnte Produkte finden Sie hier: https://www.amazon.de/shop/profrieck Dort sind auch ein paar andere Produkte, die ich empfehle (ich bin Buch- und Technik-Junkie;-) Mit * gekennzeichnte Links sind Affiliate-Links, bei denen ich eine kleine Provision bekomme, ohne dass Sie mehr bezahlen. Vielen Dank, falls Sie diese Links nutzen! Lust auf ein gutes Video jede Woche? Dann klicken Sie hier: https://www.youtube.com/c/ProfRieck?s... Mein Instragam-Account: https://www.instagram.com/profrieck/ Und zu Twitter: https://twitter.com/ProfRieck #Nobelpreis #Wirtschaft

Wie findet man heraus, ob Rauchen wirklich schädlich ist und ob Corona-Maßnahmen wirksam sind? Aus Forschungssicht ist das erstaunlich schwierig, weil der "Selection Bias" viele Untersuchungen ungenau macht. Die Nobelpreisträger dieses Jahres haben eine Methode entwickelt, wie man das Problem weitgehend korrigieren kann. Die Details dazu in diesem Video. Mein Instragam-Account: https://www.instagram.com/profrieck/ Bücher von mir: Wenn Sie lieber nicht bei Amazon kaufen, können Sie gern diesen unabhängigen Anbieter unterstützen: www.aha-buch.de (Ich bekomme keine Provision, aber Aha-Buch hat meine Bücher fast immer vorrätig.) Ansonsten auch bei Amazon (hier bekomme ich eine kleine Provision): Die 36 Strategeme der Krise: Print: https://www.amazon.de/exec/obidos/ASI... Kindle: https://www.amazon.de/exec/obidos/ASI... Digni-Geld - Einkommen in den Zeiten der Roboter: print: http://www.amazon.de/exec/obidos/ASIN... Ebook: http://www.amazon.de/exec/obidos/ASIN... Rettung vor dem Euro: https://www.aha-buch.de/details/INF10... * Von mir erwähnte Produkte finden Sie hier: https://www.amazon.de/shop/profrieck Dort sind auch ein paar andere Produkte, die ich empfehle (ich bin Buch- und Technik-Junkie;-) Mit * gekennzeichnte Links sind Affiliate-Links, bei denen ich eine kleine Provision bekomme, ohne dass Sie mehr bezahlen. Vielen Dank, falls Sie diese Links nutzen! Lust auf ein gutes Video jede Woche? Dann klicken Sie hier: https://www.youtube.com/c/ProfRieck?s... Mein Instragam-Account: https://www.instagram.com/profrieck/ Und zu Twitter: https://twitter.com/ProfRieck #Nobelpreis #Wirtschaft

State v. Andujar - Juror selection bias - NJ Supreme Court establishes a Conference to studyColeman v. Martinez - licensed social worker not immuneState v. Chavies - no early release for ill inmateAug 2, 2021 Courthouse is OpenLandlord-Tenant Procedures88,000 MJ Cases - GoneClick Here to give The BOLD SIDEBAR a nice 5-star Rating.Check out our sound engineer Nick Bates at: Bandcamp - https://nick-bates.bandcamp.com and Twitter - https://twitter.com/nickbatesmusic

The paper we discuss is  K Humphreys, JC Blodgett, and TH Wagner. Estimating the Efficacy of Alcoholics Anonymous Without Self-Selection Bias: An Instrumental Variables Re-Analysis of Randomized Clinical Trials. Alcoholism: Clinical and Experimental Research. 2014; 38(11): 2688-2694.The primary outcomes from Project MATCH, which looked at the efficacy of different psychotherapeutic interventions for alcohol use disorder, can be found here.Helpful reference on instrumental variables analysis: ML Maciejewski and MA Brookhart. Using Instrumental Variables to Address Bias from Unobserved Confounders. JAMA 2019; 321(21): 2124-2125.Another example of using instrumental variable analysis to address an important question in psychiatry (this time, related to ECT and hospital re-admission): AT LoSasso. Use of Instrumental Variables Methods in Examining Psychiatric Readmissions. JAMA Psychiatry 2017; 74(8): 805-806.

If you surveyed the subscribers of a science magazine, and generalised their responses to an overall population, all science-minded perspectives would be over-represented in the analysis and consequently in the results too! All about this, and more, in this episode, based on an excerpt from the Universal Principles of Design. Please rate & review this podcast here: https://podcasts.apple.com/in/podcast/the-31-5-guy-podcast/id1528897344 You can find me at https://rounakbose.in Links: https://www.instagram.com/the31point5guy/ https://twitter.com/The31point5Guy https://medium.com/the-31-5-guy https://www.linkedin.com/in/rounakbose1997/ ~ The 31.5 Guy

The first of a three part series about the stats behind some of the news, blogs, columns, and opinions you hear thrown around the internet.

In hour 2 of this episode, Bryan and A.D. share their thoughts on selection biases and why it seems HBCU conferences and teams are getting short-changed when it comes to placement in the NAIA and NCAA basketball tournaments. They also review the last Top 5 basketball rankings of the regular season with new #1 teams in three of the four lists. Follow the Black College Sports Network, BCSN SportWrap and Jericho Broadcast Networks: Web: https://MyBCSN.net/ Twitter: http://Twitter.com/MyBCSN1 Instagram: http://instagram.com/MyBCSN1 BCSN on Facebook: http://facebook.com/MyBCSN1 SportsWrap on Facebook: http://facebook.com/BCSNSportsWrap. YouTube: http://youtube.com/MyJBNOnline Download the JBN App by searching "MyJBN" or "MyBCSN" in the Google and Apple app store. The BCSN SportsWrap is available Anchor, Breaker, Google Podcasts, Apple Podcasts, Overcast, Pocket Casts, RadioPublic, Spotify, and iHeartRadio. Download and subscribe to be alerted when new episodes are released. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/blackcollegesportsnetwork/support

Retired IRS economist Kim Bloomquist discusses his findings of geographic – and perhaps race and class – bias in the tax agency’s selection of audits. For additional coverage, read these articles in Tax Notes:IRS Exams Focus on EITC Claims, Not Poor, Inspector General SaysAudit Patterns Not Racially Biased, IRS Chief Tells House PanelRettig to Tax Pros: Get Clients in the Compliance ‘Zone’ Scott St. Amand of Fisher, Tousey, Leas & Ball talks about his upcoming Tax Notes piece, “Prior Supervisory Approval: The Tax Penalty Poison Pill.”**This episode is sponsored by the Tax Attorney Recruiting Event (TARE). For more information, visit the-tare.com.This episode is sponsored by Avalara. For more information, visit avalara.com/taxnotes.*** CreditsHost: David D. Stewart Executive Producers: Jasper B. Smith Showrunner: Paige Jones Audio Engineers: Derek Squires, Jordan Parrish Guest Relations: Nicole Wilder

Josh and Kurt talk about cybersecurity statistics and the value of the data we have. Links 24 Cybersecurity Statistics That Matter In 2020

Kanika Samuels-Wortley is an Assistant Professor at the Institute of Criminology & Criminal Justice at Carleton University in Canada. Kanika specialises in race and racism, youth delinquency, policing, corrections, and critical race theory. Her current research explores how perceptions and experiences with racial discrimination by law enforcement officials may contribute to victimization and offending among Black and Indigenous youth, thus maintaining their oppression and marginalization in Canadian society. She chats to Omar about her recent paper: Youthful Discretion: Police Selection Bias in Access to Pre-Charge Diversion Programs in Canada. Race and Justice (2019) Kanika Samuels-Wortley: kanika.samuelswortley@carleton.ca | @KanikaSamuels Omar Phoenix Khan: @OmarPKhan | @Justice_Focus | https://www.justicefocus.org/

Razib and Josiah Neeley talk to a participant in the Stanford Santa Clara county study which reported that COVID-19 was far less dangerous than we had thought. They talk about why the study design was probably generating an artifactual result.   Twitter thread from participant: https://twitter.com/mattmcnaughton/status/1252584952094310406 The study: https://www.medrxiv.org/content/10.1101/2020.04.14.20062463v1

Selection Bias can keep us hunting for what is most present on our mind, Waldo or the new Toyota we are planning to buy. Once we have committed to a decision we will see that specific brand everywhere. We are experiencing selection bias. Our brain is guiding us to what is most present on our minds. “The Invisible Gorilla” book by C. Chabris and D. Simons explores this famous experiment on how your mind actually works - our intuition can deceive us. https://www.amazon.com/Invisible-Gorilla-Other-Intuitions-Deceive-ebook/dp/B0036S4EYQ - BUY BOOK “Understanding Behavioral BIA$” http://amzn.to/2XHtsOE | by hosts of Mental Models Podcast: Dr. Daniel Krawczyk & George Baxter, JD, CFA. Behavioral finance advice and solutions. The sales of the book support the Mental Models Podcast directly! Positive reviews on Amazon increase the likelihood that others will become aware if the book “Understanding Behavioral Bia$”. VIDEO of "Understanding Behavioral Bia$" https://www.fox4news.com/video/655696 This book will help you overcome the biases that are keeping you from investment success! Authored by Daniel Krawczyk, Ph.D. & George Baxter, JD, CFA your hosts of Mental models Podcast. Published by Business Expert Press Behavioral Finance Book AVAILABLE NOW ON AMAZON http://amzn.to/2XHtsOE Do you want strategies to make better financial decisions? Do you need a translational guide to Thinking Fast and Slow? Do you want to be a better investor and earn more money? If you said yes to any or all of the above questions then this book is for you! #UnderstandingBehavioralBias. #mentalModels

How can we know we’re getting at the truth, when we inevitably come at the world with various biases? Eliot Salandy Brown and David Zax explore the phenomenon of “selection bias” by visiting with two people who hold very different views of the world: a conspiracy theory debunker, and a 9/11 conspiracy theorist. Can ReD help the debunker better understand the people whose minds he’s trying to change?

If you’ve toured through any old world cities, you’ve probably marveled at ancient buildings that have stood the test of time. You might think to yourself, “They sure made things to last back in those days.” And while the Notre Dame Cathedral or the Parthenon or the Tower of London may seem like proof of the superior workmanship of a bygone era, what you don’t see are all the other buildings erected during the same period that have since crumbled or been torn down.In this episode of Choiceology with Katy Milkman, we look at a bias that often clouds the way we evaluate success and failure.We begin with the scientific awakening of Joseph Banks Rhine in the 1920s, during the peak of the spiritualist movement. Rhine was trained in science and wanted to apply the scientific method to his research into paranormal phenomena. Science taught him to be skeptical, so when Rhine’s research results seemed to demonstrate the existence of extra-sensory perception, or ESP, he believed he had found proof of a new aspect of human nature. The findings led to academic accolades and substantial financial support, until others tried to replicate his results.Next, we present a survey on musical acts and college drop-outs to demonstrate how easy it is to discount important information—when that information is not readily apparent.  To look at the science behind this bias, Katy has enlisted two scholars to help explain it in different contexts. First, Sendhil Mullainathan provides useful examples of the bias in the world of investing and hiring. Sendhil is the Roman Family University Professor of Computation and Behavioral Science at the University of Chicago Booth School of Business. He’s also the co-author of the book Scarcity: Why Having Too Little Means So Much. Then, Emily Oster talks about the ways that doctors and parents sometimes unintentionally ignore important information when attempting to solve problems. Emily is a professor of economics at Brown University. Her most recent book is called Cribsheet: A Data-Driven Guide to Better, More Relaxed Parenting From Birth to Preschool. Choiceology is an original podcast from Charles Schwab. For more on the series, visit schwab.com/podcast.If you enjoy the show, please leave a ⭐⭐⭐⭐⭐ rating or review on Apple Podcasts.Important Disclosures:All expressions of opinion are subject to change without notice in reaction to shifting market conditions.The comments, views, and opinions expressed in the presentation are those of the speakers and do not necessarily represent the views of Charles Schwab.Data contained herein from third-party providers is obtained from what are considered reliable sources. However, its accuracy, completeness or reliability cannot be guaranteed.The Schwab Center for Financial Research is a division of Charles Schwab & Co., Inc.(1119-9NGD)

Michael Wolff wrote a sleazy discredited book on the Trump Administration. Now he has another one. And despite being a joke, when the ABC wants commentary on the US election, he's the bloke they turn to. Confirmation and selection bias par excellence - that's why ABC viewers were shocked when Trump won.

Of all the GOP strategists to interview, the ABC found one who wrote a book called 'Everything Trump Touches Dies' and that very day said Trump "the most petty, think-skinned, trifling, no-account s%^&-bird to ever hold the office of President". Yep, no bias there folks. No wonder ABC audiences know nothing about the world.

Professor David Torgerson, Director of the York Trials Unit, gives a talk for the Evidence Based Healthcare podcast series. He has published widely with over 250 peer reviewed papers many of them on the design of randomised trials including a student text book 'Designing Randomised Trials in Health Education and the Social Sciences' (2008, Palgrave MacMillan). He has a particular interest in the design and conduct of cluster randomised trials. Randomisation, if conducted properly, will abolish selection bias. Poor randomisation practice for individually randomised trials allows the allocation schedule to be predicted and can lead to subversion of the randomisation, which introduces selection bias. In cluster randomised controlled trials there is a particular problem with some trials in that cluster randomisation occurs before individual recruitment. When this occurs the allocation can become known to the potential participant and the recruiting clinician and research. This, then, allows selective recruitment to occur which means that selection bias is introduced at the level of the individual participant. In this talk the problem is illustrated in case studies and I discuss approaches to dealing with this potential source of selection bias.

Professor David Torgerson, Director of the York Trials Unit, gives a talk for the Evidence Based Healthcare podcast series. He has published widely with over 250 peer reviewed papers many of them on the design of randomised trials including a student text book 'Designing Randomised Trials in Health Education and the Social Sciences' (2008, Palgrave MacMillan). He has a particular interest in the design and conduct of cluster randomised trials. Randomisation, if conducted properly, will abolish selection bias. Poor randomisation practice for individually randomised trials allows the allocation schedule to be predicted and can lead to subversion of the randomisation, which introduces selection bias. In cluster randomised controlled trials there is a particular problem with some trials in that cluster randomisation occurs before individual recruitment. When this occurs the allocation can become known to the potential participant and the recruiting clinician and research. This, then, allows selective recruitment to occur which means that selection bias is introduced at the level of the individual participant. In this talk the problem is illustrated in case studies and I discuss approaches to dealing with this potential source of selection bias.

Download episoden Hvis du splittester på Facebook via flere annoncer i et annonesæt eller dynamisk annonceindhold, er du ramt af selection bias. Hvad er det - og er det egentligt et problem? Det er emnet for EP #248 af Marketing Brief.

"The normal American did not graduate from college and doesn't have an associate's degree. He or she perhaps attended college for one year or graduated from high school. She or he has a net worth of approximately $36,000, about $6,000 excluding home and vehicle equity and lives paycheck to paycheck. She or he has less than $500 in flexible savings and minimal assets invested in the stock market. These are median statistics with 50% of Americans below these levels” In this episode of Made You Think, Neil and Nat discuss The War On Normal People By Andrew Yang. This book is a balanced and optimistic view on Universal Basic Income, the economic impact of the automation of jobs and our options for the future. "half of American households already rely on the government for direct income in some form." We cover a wide range of topics, including: Universal Basic Income and Government benefits Statistics on unemployment, labor and the changing workforce Technology, automation and robot dog walkers Centralization of certain jobs in certain cities Remote work, freelancers, the gig economy Taxes, Cryptocurrencies & Video Games Tangents on Fortnite, Rolex and ad revenue in sports And much more. Please enjoy, and be sure to grab a copy of The War On Normal People By Andrew Yang. You can also listen on Google Play Music, SoundCloud, YouTube, or in any other podcasting app by searching “Made You Think.” If you enjoyed this episode, be sure to check out our episode on Sovereign Individual for opposing views. Along with our episode on The Elephant In The Brain for more on human nature and the desire for success. Be sure to join our mailing list to find out about what books are coming up, giveaways we're running, special events, and more. Links from the Episode Mentioned in the show Waking Up Podcast [01:08] Universal Basic Income [02:48] Mass Shooters [04:43] Social Revolution [04:46] Median Statistics [05:33] Labor Participation Rate [06:22] Manufacturing States [12:33] Detroit Riots [13:11] W-2 [13:43] Retraining Programs [15:12] Technology Industrial Wave [15:43] Amazon Warehouses [17:17] Walmart [17:25] Paralegals [19:33] The Sims [23:02] Hive Mind [23:27] UpWork [32:56] Slack [36:40] Esports [37:00] Twitch [37:09] Extremistan [37:12] Mediocristan [37:14] Gig Economy [40:44] Rover [40:52] Wag [40:52] Twilight Zone [42:10] Flywheel effect [45:35] Lincoln University [47:24] Biggest question Nat had have from reading @AndrewYangVFA's UBI book (on Twitter) [55:00] Unlimited Brewing [55:55] The world’s top economy: the US vs China in five charts [57:50] Cryptocurrencies [01:05:50] (Crypto episode) TransferWise [01:09:05] Blockchain [01:09:26] Winner-takes-all effect [01:09:54] Patreon Bonus Material [01:12:19] Fortnite [01:17:46] Call of Duty [01:18:03] Mad Max [01:21:11] ISIS [01:21:17] Social Credits [01:22:48] Million Dollar Bill [01:22:48] Vietnamese Dong [01:23:51] Trump’s Tax Plan [01:27:20] Totalitarianism Article [1:31:45] Yang2020.com [01:31:58] The New Deal [1:32:38] The Great Depression [01:33:40] Obamacare [01:35:22] Selection Bias [01:39:03] Books mentioned The War On Normal People by Andrew Yang Sovereign Individual by James Dale Davidson [03:17] (Nat’s notes) (book episode) Dreams From My Father by Barack Obama [01:12:47] Sapiens by Yuval Harari [01:18:47] (Nat’s Notes) (part 1) (part 2) Homo Deus by Yuval Harari [01:18:48] (Nat’s Notes) (book episode) Skin in the Game by Nassim Taleb [01:31:47] (Nat’s Notes) (Neil’s Notes) (book episode) Elephant in the Brain by Kevin Simler and Robin Hanson [01:38:43] (book episode) People mentioned Andrew Yang Sam Harris [01:00] Winston Churchill [04:25] Nassim Nicholas Taleb [37:06] (Antifragile episode) (Skin in the Game episode) Donald Trump [01:03:10] Barack Obama [01:12:12] Youval Harari [01:19:04] Robin Hanson [01:38:05] Show Topics 01:42 – The book feels optimistic and fairly balanced and offers Universal Basic Income as a good solution to our current situation. Andrew sets the stage well with the magnitude of the problem. 03:04 – We have both come from a place of not thinking UBI was a good solution and our views have been changed several times on this, since reading Sovereign Individual and now this. 04:19 – It feels like this could the best of the option that we currently have if we want to maintain this current system and avoid social revolution. 05:10 – Yang starts the book off by emphasizing the scale of the problem using median statistics or labor participation rate, unemployment rate and number of disability claimants. 06:30 – There is a massive number of people who are working age but are no longer looking for work. This is not evident when viewing the unemployment rate as they are discounted. However the labor participation rate is 63% which is lower that all other industrialized economies. 06:58 – One in three people have left the job market entirely. They have self-selected to no longer participate in the search for work and are not counted as unemployed. 08:09 – "half of American households already rely on the government for direct income in some form.". The majority of these are on disability for muscular tissue issues, mood disorders, anxiety or depression. 09:09 – There is a whole industry of lawyers who help people get onto disability who then take a cut of the back dated payments. 10:26 – Similarities between the level of disability payments and the proposition of UBI. However with disability payments, you are dis-incentivized from trying to find work as payments would stop. This causes a large number of people to stay on disability for longer and find untraceable ways of earning additional income. 11:10 – Yang says that 94% of all jobs created within the last 10 years were temporary contractor jobs with no benefits. People are not going to risk their $12,000 disability payment for a job at $7 per hour. 11:35 – Disability has less than 1% churn rate, very few people get off it. It’s like the anti-SaaS startup. 11:59 – Increases in disability payments correlate to the areas with the biggest job losses. Highest in the old manufacturing states. Does the government recognize that these payments are just another type of welfare for those that have lost their jobs? 12:31 – In Michigan of the 310,000 who left the workforce between 2003 and 2013 half went on to take disability payments. They don’t have any other options available. 13:29 – The Government doesn’t seem to actively fight benefit fraud with more people joining but few leaving. Missing of checks to see who is health is improving enough to move back into work. 14:29 – Inefficiencies of job retraining programs and the lack of transferable skills between old industries losing jobs and new (mostly technical) industries with jobs available. "The test is not 'Will there be new jobs we haven't predicted yet that appear?' Of course there will be. The real test is 'Will there be millions of new jobs for middle-aged people with low skills and levels of education near the places they currently reside'. And the answer to that seems almost certainly no." 15:44 – In previous industrial waves people have been able to adapt due to similarities of skill. Automation is now removing low skilled jobs entirely. Automation in car factories, Amazon warehouses. 18:30 – Automation isn’t solely for low skilled, Blue Collar jobs. Anything repetitive and routine can be automated. This will impact White Collar workers too. “Routine jobs of all stripes are those most under threat from AI and Automation and in time more categories of jobs will be affected.” 19:21 – Automation in law, research and reduction in personnel. Repetition as a tool for learning. Loss of high-level expertise as no-one has the foundational knowledge that comes from early repetition. 20:42 – Tangent. A Science Fiction story to make you think! In a distant future, expertise on computers has been lost and no one knows how to resolve a computer bug. A future where humans are reliant on computers to retain the knowledge for them. 22:42 – Computers no longer needing humans. The Sims, the hive mind of the Internet. Memes, Russian hackers, and Wikipedia created by AI destroying humanity. 25:19 – Assumptions of UBI imply an increase of entrepreneurship. What happens when you pay people to not work? Current level of cash wealth for the average American is $500. The expense of Healthcare means that one ER visit can put people into long term financial difficulty. Defaulted medical bills are then just another form of welfare. 27:50 – Median salary in the US is $31,000. Cost of living in New York and San Francisco. Impact cost of living has on average job wages. Manhattan vs Brooklyn. 32:14 – The author criticizes the idea that those that lose their job can just start working remotely. Those in the US can’t compete due to cost of living with locations like the Philippines and Sri Lanka. Tech skills required are also a barrier to entry. 36:10 – Professional eSports players and the popularity of Twitch and the platform reinforcing the popular streamers causes them to be more popular. Extremistan vs Mediocristan. 39:11 – Lack of service jobs, the rise of the gig economy, dog walking apps. Robot dogs and cyborg owners. 42:39 – Hyper-concentration of money and talent in 6 cities: Boston, Chicago, Los Angeles, New York and Washington DC. Reinforcing loop effect. Venture Capital money and secondary cities that are on the rise. The effects of anchor companies in smaller cities. 50:01 – Potential to see an exodus of people moving away from high cost of living areas due to remote work. The increase of remote working technologies which helps team collaboration. 52:32 – Geography is destiny. Jobs disappear where society falls apart and the smartest leave first. Reduction in families relocating across state lines. 54:14 – The ‘useless’ class being subsidized by the 1%. Will this cause talent to leave on a international level? Yang says inertia, lower taxes, standard of Education keep people in the U.S. 55:40 – VAT, international transactions, selling to the UK from the US. Micro economies and city-states. China GDP. Impact of taxes in lower cost of living regions. 01:01:50 – Moving abroad, spending in different economies. Moving to Canada because of Trump. Tipping point for people leaving their state or country because of high tax levels. 01:05:41 – Tangent. Cryptocurrencies as an alternative to being taxed. Adoption of Bitcoin and untraceable payment systems. Exchange rates and paying freelancers. TransferWise, PayPal. UBI as being a better option than the status quo. 01:10:20 – Yang doesn’t present UBI as a perfect solution but it’s an option to divert us from the direction we are already headed in. 1:12:00 – If you want to hear Neil’s comments about Obama’s book, support us on Patreon and listen to the bonus material for this episode. 01:13:14 – The explosion in popularity of video games for unemployed men. The average playing time went from 3 hours per week to 8 hours per week in just a few years. 01:14:32 – E-sports, ad revenue, disposable income of an unemployed audience. Comparisons with NBA, NFL, tennis, golf and other sports. Sponsorships vs engagement of an audience. 01:16:35 – Power of in-app purchases, revenue making game mechanics. Popularity of Fortnite, going to $318MM in monthly revenue in just eight months. Comparisons with Call of Duty, game play and enjoyment. 01:18:55 – Harari's comments on the ‘useless’ class moving to VR as a stimulus. Swapping religion for video games. Lack of creative outlets and sense of reward in modern life. People turning to games for the feeling of progress and adventure. 01:20:31 – Implications of having unemployed young men roam the streets are a recipe for disaster. Preventing social unrest of large group of unemployed people by videogames. 01:21:35 – Lack of stimulation causes unwanted behaviors. People don’t always direct their energy in productive ways. Social credit apps, psychology of spending millions in other currencies. 01:24:07 – UBI as an economic stimulus, makes new businesses more viable. Additional disposable income. Decreasing customers causes decreasing investment. Spending on subscriptions like Netflix causes income to flow back to those already rich cities. 01:26:55 – Trump’s tax plan, government waste. UBI puts money in the hands of the individual and reduces government control. Appealing to both political sides - as a safety net and as a way for individuals to have more control. 01:29:52 – Welfare increasing risk of totalitarianism. Government and citizens in harmony - taxes in exchange for infrastructure and protection. Does reducing taxes reduce how much the government listens to the people? 01:31:36 – Andrew Yang is a presidential candidate for 2020 against Trump. Danger of using UBI as a re-election tactic. An issue so powerful could lead to a potential dictatorship. The Great Depression, introduction of Social Security. Congress, altruistic presidents and Obamacare. 01:35:47 – If you want to hear more about some of our thoughts related to the book get the bonus material for this episode at Patreon. We got to say it a lot of times to make sure everyone remembers what it is. Patreon.com/madeyouthink 01:38:03 – You can also leave a review for this show on iTunes. That is probably one of the best ways to support the show, that helps us show up as a recommended podcast. It makes us feel good. It'll make our mother's proud of us. Keep tweeting about it. We love hearing from you guys and getting your questions and your thoughts. 01:40:23 – You can check out some deals from our wonderful sponsors at MadeYouThinkPodcast.com/Support. That's where you can find the mushroom coffee, the Perfect Keto ketones the Kettle and Fire bone broth, the Cup and Leaf tea and also you can click through to Amazon. Buy anything there and that helps support the show as well. This is a topic we're definitely interested in so if there are articles, other books, videos definitely send them our way on Twitter. I’m @TheRealNeilS and I’m @NatEliason. See you guys next week. If you enjoyed this episode, don’t forget to subscribe at https://madeyouthinkpodcast.com

Citywire Selector’s international reporter Jessica Beard speaks to behavioural finance expert and fund selector Joe Wiggins from Aberdeen Standard. Wiggins gives his top tips for avoiding the natural biases all selectors are vulnerable to and explains why it is crucial to admit that emotion is driving your investment decision making.

Selection Bias, Confirmation Bias and the Feedback Loop of Predictive Policing Algorithms, the Black Box Problem of Proprietary Algorithms and Lack of AccountabilityDiscussion with Kristian Lum and William Isaac on how machine learning algorithms work and how seemingly neutral police data can perpetuate systemic and institutional prejudices and produce predictive systems that predict police enforcement rather than future crime. We explore the creation and conclusions of their Oakland case study on the bias of police data sets and how selection bias can produce confirmation bias and a feedback loop, leading to over-policing of communities already overexposed to police activity. We also discuss the lack of transparency and accountability of the current proprietary predictive models and best practices for input data and implementation of predictive systems into future police work.For More Info:https://www.usatoday.com/story/opinion/policing/spotlight/2016/12/02/predictive-policing-violates-more-than-protects-column/94569912http://onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2016.00960.x/fullhttps://www.teamupturn.com/reports/2016/stuck-in-a-patternhttps://www.nij.gov/topics/law-enforcement/strategies/predictive-policing/Pages/welcome.aspxhttp://directives.chicagopolice.org/directives/data/a7a57bf0-1456faf9-bfa14-570a-a2deebf33c56ae59.htmlhttp://www.law.nyu.edu/bernstein-institute/conference-2016https://mathbabe.orghttp://www.huffingtonpost.com/entry/predictive-policing-reform_us_57c6ffe0e4b0e60d31dc9120http://www.theverge.com/2014/2/19/5419854/the-minority-report-this-computer-predicts-crime-but-is-it-racist

Prof Rick Body and Niall Morris, Clinical Research Fellow, discuss selection bias and how it can affect clinical research. This podcast is the third in the St Emlyn's series "Clinical Appraisal Nuggets".

Ett avsnitt om att vara först, early adoption och musiknerdar. Komiskt nog är detta andra gången vi spelar in ett avsnitt på detta temat. Första gången gick det åt skogen pga använde laptopens inbyggda mikrofon istället för våra tjusiga “riktiga” mikrofoner. (－‸ლ) Ingen Android Wear 2.0 för Moto 360 1.0 Selection Bias och bombplanen Nej, Angry Birds är INTE en version av Castle Crashers Angry Birds är en kopia av Crush the Castle Scorched Earth i all sin glans Cammes spellista “Sånna där luft tjosan” It’s what computers have become Smartphones före och efter iPhone Normalfördelningskurvan för hur folk tar till sig ny teknik Shit phone Shitty TV Verisure och smarta hem

Nobel Laureate James Heckman of the University of Chicago talks with EconTalk host Russ Roberts about the state of econometrics and the challenges of measurement in assessing economic theories and public policy. Heckman gives us his take on natural experiments, selection bias, randomized control trials and the reliability of sophisticated statistical analysis. The conversation closes with Heckman reminiscing about his intellectual influences throughout his career.

Interview with FFRF (Freedom From Religion Foundation) Staff Attorney - Andrew Seidel. We discuss a few of their many successful lawsuits. Also, Thomas Sheedy talks about his High School refusing to let him have an Secular Student Alliance group.Investing Skeptically Topic - Science Based Investing, Selection Bias via Mutual Fund Survivorship Bias.

A discussion about conducting US presidential election polls helps frame a converation about selection bias.

RACE FETISH & INTERETHNIC DATING! Comedian Darryl Charles and sexologist Dr. Timaree Schmit join Sandra on stage to figure out where couples have sex in their homes. Answer: Everywhere. Then sex & dating expert Twanna Hines sets Sandra straight on how to "get down with the Funky Brown." TOPICS: Awkward Farting, Racial Stereotypes, Cuckolding, Math, Marriage, Cats, Cohabiting, Toilets, Sex Dreams, Breaking Bad, Urethral Sounding and the Pornhub Study. THEN: OKCupid Trends, Flawed Assumptions, Black Women Dating, Selection Bias and More Science!

Associate Editor Steve Morrison chats with Dr. Kenneth Elpus on the apparent interaction between academic achievement and music education. http://jrm.sagepub.com/content/61/2/175.abstract

Classification trees based on imprecise probabilities provide an advancement of classical classification trees. The Gini Index is the default splitting criterion in classical classification trees, while in classification trees based on imprecise probabilities, an extension of the Shannon entropy has been introduced as the splitting criterion. However, the use of these empirical entropy measures as split selection criteria can lead to a bias in variable selection, such that variables are preferred for features other than their information content. This bias is not eliminated by the imprecise probability approach. The source of variable selection bias for the estimated Shannon entropy, as well as possible corrections, are outlined. The variable selection performance of the biased and corrected estimators are evaluated in a simulation study. Additional results from research on variable selection bias in classical classification trees are incorporated, implying further investigation of alternative split selection criteria in classification trees based on imprecise probabilities.

Evidence for variable selection bias in classification tree algorithms based on the Gini Index is reviewed from the literature and embedded into a broader explanatory scheme: Variable selection bias in classification tree algorithms based on the Gini Index can be caused not only by the statistical effect of multiple comparisons, but also by an increasing estimation bias and variance of the splitting criterion when plug-in estimates of entropy measures like the Gini Index are employed. The relevance of these sources of variable selection bias in the different simulation study designs is examined. Variable selection bias due to the explored sources applies to all classification tree algorithms based on empirical entropy measures like the Gini Index, Deviance and Information Gain, and to both binary and multiway splitting algorithms.