Podcasts about statistical analysis

This episode is a treasure trove for baseball enthusiasts! With the dynamic duo of Bob Tiemann and Ron Jacober in the studio, we explore the legendary legacy of the St. Louis Cardinals and their impressive 12 World Series titles. Bob, an award-winning historian, takes us through the timeline of each championship, revealing intriguing stories and stats that even the most devoted fans might not know. Ron, a hall of fame broadcaster, spices things up with his firsthand experiences from the broadcast booth, reminiscing about the unforgettable games and players that left a mark on the franchise. We dissect the evolution of the team, touching on the fierce rivalries that have shaped the landscape of baseball, and even dive into the behind-the-scenes antics that made the game so much fun to watch. From the fierce competition of the 1982 series to the early days of the franchise, every story is laced with delightful humor and camaraderie. If you're looking for a podcast that not only informs but also entertains, this episode hits it out of the park! Tune in for a fun and insightful look at one of baseball's most storied franchises, and who knows, you might just find yourself learning something new about the game we all love.[00:00] Introduction to St. Louis Cardinals' Legacy[00:39] Baseball Talk: Upcoming Games and Players[01:24] The Million Dollar Rookie Card Story[02:48] Meet the Guests: Ron Jacober and Robert Tiemann[03:03] Sponsorship and Listener Engagement[04:07] Historical Highlights: St. Louis Cardinals' Championships[10:23] Memorable World Series Moments[17:31] Iconic Cardinals Players and Their Legacy[25:45] Underrated Cardinals and Book Promotion[26:20] Julian Javier: The Phantom Second Baseman[27:15] Keith Hernandez: The Underrated First Baseman[29:25] George Kissel's Impact on the Cardinals[30:28] The Shift to Statistical Analysis in Baseball[34:26] The Evolution of Pitching Philosophy[39:28] Humorous Banter and Closing RemarksTakeaways: The St. Louis Cardinals are the proud owners of 12 World Series rings, showcasing their rich history in baseball. Bob Tiemann and Ron Jacober share insightful stories about the Cardinals' championship victories that fans will love. The podcast dives into memorable moments like David Freese's legendary home run, which defined the 2011 World Series. Listeners will appreciate the mix of nostalgia and expert analysis as the hosts reminisce about key figures in Cardinals history. Tiemann reveals how the Cardinals' legacy is not just about wins, but also about the heart and hustle of players like Stan Musial. The episode highlights the evolution of baseball strategy, emphasizing the shift from traditional pitching to analytics-based decisions. 12 Rings: Stories of the St. Louis Cardinals World Championships, second edition, expanded and updated – Reedy PressRobert L. Tiemann – Reedy PressRon Jacober – Reedy PressThis is Season 8! For more episodes, go to stlintune.com#stlouiscardinals #stlouiscardinalsbaseball #reedypress #stlouisbrowns #baseballhistory #baseballhistorian #baseballplayers #worldseries

Stat Me Up Special: Dave Davis and Dr Phil Bart discuss the stunning data behind Van Dijk's Rise with this Liverpool Team This season and beyond. Fresh off the new contract, two more years of Van Dijk! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Under Pressure Podcast Preview: Dan Kennett is joined by DR Phil Barter, Simon Brundish, and Hamzah Khalique as they dive into the key metrics from the Merseyside derby. They discuss how Liverpool can potentially unlock the defences in the future if TAA does depart. Learn more about your ad choices. Visit podcastchoices.com/adchoices

John M. Lachin, ScD, Biostatistics Center, George Washington University, discusses Nonparametric Statistical Analysis with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Nonparametric Statistical Analysis

Send us a message or question! SummaryIn this episode of Never Mind the Dambusters, hosts Jane Gulliford-Lowes and James Jefferies are joined by historian Stuart Burbridge to discuss the often-overlooked aspect of the RAF Bomber Command's offensive against Luftwaffe night fighters during World War II. The conversation covers the technological innovations, strategies, and the psychological impact of the night fighter campaign, as well as the statistical analysis of its effectiveness. Stuart shares insights from his research and personal connection to Bomber Command, providing a comprehensive overview of this critical aspect of air warfare.TakeawaysThe night fighter campaign was a significant threat to Bomber Command.Stuart Burbridge's personal connection to Bomber Command shaped his research.Technological innovations like the Serrate Homer were crucial in countering night fighters.100 Group was established to confound and destroy enemy night fighters.The Nuremberg raid highlighted the vulnerabilities of Bomber Command.Statistical analysis reveals the effectiveness of the night fighter offensive.The Luftwaffe had a psychological fear of the Mosquito aircraft.The introduction of new radar systems improved the RAF's night fighting capabilities.The campaign evolved through several distinct phases from 1942 to 1945.Stuart plans to write a book covering the broader aspects of the night fighter campaign.Chapters00:00 Introduction and Personal Updates02:40 The Night Fighter Campaign: An Overview04:21 Stuart's Personal Connection to Bomber Command07:41 The Threat of Night Fighters in 194314:35 Technological Innovations Against Night Fighters19:41 The Structure of the Night Fighter Campaign27:51 Evolution of Radar Technology in WWII29:41 The Seven Phases of the RAF Offensive36:02 Statistical Analysis of Night Fighter Campaigns41:15 Luftwaffe's Perspective on RAF Night Fighters48:36 Conclusions and Future Directions50:11 Show intro.wavSupport the showPlease subscribe to Never Mind The Dambusters wherever you get your podcasts. You can support the show, and help us produce great content, by becoming a paid subscriber from just $3 a month here https://www.buzzsprout.com/2327200/support . Supporters get early access to episodes and invitations to livestreams. Thank you for listening! You can reach out to us on social media at @RAF_BomberPod (X) or @NeverMindTheDambusters (Instagram)You can find out about James' research, articles, lectures and podcasts here .You can read more about Jane's work on her website at https://www.justcuriousjane.com/, and listen to podcasts/media stuff here

Subscriber-only episodeSend us a message or question! ***Episode on general release Wednesday 19th March 2025.In this episode of Never Mind the Dambusters, hosts Jane Gulliford-Lowes and James Jefferies are joined by historian Stuart Burbridge to discuss the often-overlooked aspect of the RAF Bomber Command's offensive against Luftwaffe night fighters during World War II. The conversation covers the technological innovations, strategies, and the psychological impact of the night fighter campaign, as well as the statistical analysis of its effectiveness. Stuart shares insights from his research and personal connection to Bomber Command, providing a comprehensive overview of this critical aspect of air warfare.TakeawaysThe night fighter campaign was a significant threat to Bomber Command.Stuart Burbridge's personal connection to Bomber Command shaped his research.Technological innovations like the Serrate Homer were crucial in countering night fighters.100 Group was established to confound and destroy enemy night fighters.The Nuremberg raid highlighted the vulnerabilities of Bomber Command.Statistical analysis reveals the effectiveness of the night fighter offensive.The Luftwaffe had a psychological fear of the Mosquito aircraft.The introduction of new radar systems improved the RAF's night fighting capabilities.The campaign evolved through several distinct phases from 1942 to 1945.Stuart plans to write a book covering the broader aspects of the night fighter campaign.Chapters00:00 Introduction and Personal Updates02:40 The Night Fighter Campaign: An Overview04:21 Stuart's Personal Connection to Bomber Command07:41 The Threat of Night Fighters in 194314:35 Technological Innovations Against Night Fighters19:41 The Structure of the Night Fighter Campaign27:51 Evolution of Radar Technology in WWII29:41 The Seven Phases of the RAF Offensive36:02 Statistical Analysis of Night Fighter Campaigns41:15 Luftwaffe's Perspective on RAF Night Fighters48:36 Conclusions and Future Directions50:11 Show intro.wavPlease subscribe to Never Mind The Dambusters wherever you get your podcasts. You can support the show, and help us produce great content, by becoming a paid subscriber from just $3 a month here https://www.buzzsprout.com/2327200/support . Supporters get early access to episodes and invitations to livestreams. Thank you for listening! You can reach out to us on social media at @RAF_BomberPod (X) or @NeverMindTheDambusters (Instagram)You can find out about James' research, articles, lectures and podcasts here .You can read more about Jane's work on her website at https://www.justcuriousjane.com/, and listen to podcasts/media stuff here

The 2024 NFL season has yielded remarkable achievements, particularly within the realm of rushing performance, as evidenced by the historic seasons of running backs Saquon Barkley and Derrick Henry. Both athletes, now gracing new teams, have surpassed the monumental threshold of 2,000 rushing yards, with Barkley achieving an impressive 2,283 yards and Henry amassing 2,114 yards. Despite these extraordinary individual accomplishments, it is noteworthy that neither the Baltimore Ravens nor the Philadelphia Eagles, the teams to which these players have transitioned, rank among the top ten in NFL history for the most rushing first downs in a single season. This episode delves into the statistics surrounding these exceptional performances while providing a broader context regarding their historical significance in the fabric of American football. We invite you to explore these intriguing narratives and the lessons they impart about the evolving landscape of the sport.Join us at the Pigskin Dispatch website and the Sports Jersey Dispatch to see even more Positive football news! Sign up to get daily football history headlines in your email inbox @ Email-subscriberDon't forget to check out and subscribe to the Pigskin Dispatch YouTube channel for additional content and the regular Football History Minute Shorts.Miss our football by the day of the year podcasts, well don't, because they can still be found at the Pigskin Dispatch website.

Episode Summary Daniel Parris is creator of the Stat Significant newsletter, where each week he uses data analytics to answer pop culture questions. In this episode he talks about creating his newsletter, the tools he uses to compile data sets and write essays, and a behind the scenes look at how he created one of his most popular essays: ‘Why Do People Hate Nickelback So Much? A Statistical Analysis'. Guest BioDaniel Parris is a California-based data scientist, journalist, and consultant who writes about the intersection of statistics and popular culture. He was one of DoorDash's first 150 employees and data science hires. Since leaving DoorDash, Daniel has been dedicating his time to strategy and analytics consulting, as well as data writing. His weekly newsletter Stat Significant has over 13,000 subscribers and features data-centric essays about movies, music, TV, and more. His work has been featured by The Financial Times, Semafor, 1440, and Morning Brew. Social MediaRead ‘Stat Significant' hereDaniel on LinkedInRate and SubscribeBe sure to subscribe to The Rough Draft on Spotify, Apple, or anywhere you get your podcasts in order to stay up to date with the latest episodes.Follow Rev and The Rough Draft on Instagram, LinkedIn and XThe Rough Draft is produced by Rev, and releases a new episode every Tuesday & Thursday.Mentioned in this episode:Rev.com

Episode Summary Daniel Parris is creator of the Stat Significant newsletter, where each week he uses data analytics to answer pop culture questions. In this episode he talks about creating one of his most popular essays, ‘Why Do People Hate Nickelback So Much? A Statistical Analysis'. Guest BioDaniel Parris is a California-based data scientist, journalist, and consultant who writes about the intersection of statistics and popular culture. He was one of DoorDash's first 150 employees and data science hires. Since leaving DoorDash, Daniel has been dedicating his time to strategy and analytics consulting, as well as data writing. His weekly newsletter Stat Significant has over 13,000 subscribers and features data-centric essays about movies, music, TV, and more. His work has been featured by The Financial Times, Semafor, 1440, and Morning Brew. Social MediaRead ‘Stat Significant' hereDaniel on LinkedInRate and SubscribeBe sure to subscribe to The Rough Draft on Spotify, Apple, or anywhere you get your podcasts in order to stay up to date with the latest episodes.Follow Rev and The Rough Draft on Instagram, LinkedIn and XThe Rough Draft is produced by Rev, and releases a new episode every Tuesday & Thursday.Mentioned in this episode:Rev.com

Let's dive into the critical statistics and strategies affecting real estate pricing and days on market. Discover the key data points that indicate when a property might hit the 'point of no return' and the necessary actions after an initial price reduction to capture market attention effectively. Ben discusses the profound impact of days on market on property perception and the percentage range for price reductions that statistically leads to a sale. This episode is rich with actionable advice, providing real estate professionals with the tools to navigate market fluctuations and optimize listing strategies for better sales outcomes. Learn how to leverage the auction method as a superior alternative to traditional price reductions, aiming to enhance negotiation leverage and seller returns. Whether you're refining your approach to meet market demands or exploring innovative sales techniques, this episode is your guide to mastering the art of pricing in today's complex real estate landscape. Timestamps & Key Topics: 00:00:00] - Overview of Today's Discussion on Market Statistics[00:00:18] - Statistical Analysis of Days on Market and Price Reductions[00:01:11] - Comparing Auction and Traditional Real Estate Processes[00:01:54] - Importance of Time on Market and Initial Price Reductions[00:02:33] - Discussing Leverage in Price Negotiations[00:03:19] - Impact of Hitting 30 Days on Market[00:04:01] - Statistics on Necessary Price Reductions for Market Attention[00:05:31] - Trends in Price Reduction Timing Post-Covid[00:06:05] - Correlation Between Price Reductions and Market Days[00:07:12] - Auction Versus Traditional Selling in Achieving Better Outcomes

Happy Halloween! We pretty much have a regular show for you this week, but Jay managed to bust out some spooky sound bites to celebrate the holiday. Enjoy!Jay leads off with a tip of the hat to Phil Lesh, the amazing bassist for the Grateful Dead who passed last week at the age of 84. We also discuss the article “When Do We Stop Finding New Music? A Statistical Analysis” from Stat Significant.Song: The Black Keys & Alice Cooper - “Stay in Your Grave”On “News with Nick” this week, the music industry hopes to capitalize on the increased popularity of Halloween, Oasis invalidates 50,000 tickets listed on the secondary market, and UMG forms a strategic partnership with the ‘ethical AI music company' KLAY.Song: Ashnikko - “Halloweenie VI: Possess Me”Greg presents “Bangers & Mashups” Round VIII. We get a little bit of DJCummerbund, a dash of ThereIRuinedIt, and some TeleBiggie.Clips:Uptown FrankStevie WonderwallTeleBiggie

With early and mail-in voting underway in the 2024 elections in the U.S., and an anticipated crowd of in-person voters topping it all off Nov. 5, how are election officials managing the ballot traffic and executing a free and fair election process? We talked to returning guest Gretchen Macht, Ph.D., an associate professor in the Department of Mechanical, Industrial & Systems Engineering at The University of Rhode Island. Dr. Macht is also the Director of the Engineering for Democracy Institute, previously known as URI VOTES. She discusses how her team engages with county election officials from different parts of the U.S., the lessons learned from four years ago and how they're being applied now, and what you should know about the process in real time as American voters — and the world — wait for the results.You can listen to Dr. Macht's previous appearance on our podcast ahead of the 2020 elections at: https://share.transistor.fm/s/7dc07e35

The host of Cats ‘N' Rats Podcast (Kirby) along with his co-host (Cody) are here with another episode Carter Verhaeghe is sticking around South Florida long term! What might be next for Bill Zito, if anything ? Also: Returning guest Vincent Shipe digs into Sam Reinhart career numbers (shots, shooting percentage and more) Finally: Some news and notes with Aleksander Barkov week to week injury Thank you for all five star reviews Follow & Subscribe on: Apple, Spotify, YouTube & all major Podcast platforms Twitter X: @KJ_Lups @cms_305 @NJL1888 Instagram: cats_n_rats_podcast YouTube: CatsNRatsPodcast Linktree: https://linktr.ee/kj_lups Twitter: @thevincentshipe https://frozeninflorida.substack.com/ We are proud to collab with proshop1 (on Instagram) for a cool Roberto Luongo Pink Panther T-Shirt giveaway! Check out their website for more items: https://kproshop.com/ #FloridaPanthers #Panthers #TimeToHunt #NHL #StanleyCupChampions #AtlanticDivison #NHLOpeningNight Support our sponsor CanesWear - @Canes_Wear (Twitter X & Instagram) PANTHERS FEVER IS HERE! ARE U GEARED UP? CANES WEAR IN DAVIE IS THE PLACE FOR ALL YOUR FLORIDA PANTHERS NEEDS. They have the latest gear for our favorite NHL Team! Jerseys, Polos, T-Shirts, Hoodies, Hats & More, CanesWear has you covered. Stop by their store in Davie or PanthersWear.com for all your Panthers Gear!

Welcome to Season 2, Episode 6 of The Paranormal Rundown! We have our first return guest this week, Sylvia Shults has joined us for another round of fun filled Paranormal Dork Talk! Sylvia has written many books in the genres of Paranormal Non-Fiction and both Romantic and Horror Fiction. She is also has a podcast called Lights Out. As a librarian, she has deep knowledge on many paranormal (and other) topics, and is an absolute joy to talk to.Due to a slight technical (Vic) problem, and a failure by the backup system (Dave), we lost the first 35-45 minutes of the show. Even so, we still wound up with over two and a half hours of excellent discussion. We touch on a ton of topics this episode, including Ghost Stories, Monsters, Yokai and Yurei, Soviet Werewolves, Military Dogmen, The Cole Hollow Monster, Americas Most Haunted Small Town, Faking Dinosaur Footprints, Statistical Analysis of the Paranormal, the Patterson-Gimlin Bigfoot Film, The Enfield Horror (NOT the Poltergeist), Dinosaur Ghosts, Animal Ghosts, Psychic Entanglement, Paranormal Hotspots, Ley Lines, MK Ultra, Poltergeists, Sylvia's experience at 30 East Drive, Boo Bear, Haunted Dolls Talking Bad, Aokigahara, Self Mummified Monks, The Poe Museum, Baldwin's Book Barn and Vic's Amish / Quaker Ghost sighting, Hallucinating Up A Haunt, Grave Deeds and Dead Plots, Jenny Wade House in Gettysburg, Peanut Soup, Fabio the Sasquatch Ghost, Sasquatch Canadian Tribe, and we wrap it up with some UFO stories from Vic. This is a great example of a Rundown episode, I think we may have covered more in this one than just about any other! So get comfortable, your going to be entertained for a good long while.Be sure to check out Sylvia's books, podcast, contact information at: https://sylviashults.wordpress.comIf you have any questions, would like to provide feedback, or would like to send in your own Peanut Soup recipe, please email us at feedback@paranormalrundown.com.The Paranormal Rundown is a partnership between the hosts David Griffith, JJ Johnson, Father Michael Birdsong, and Vic Hermanson.Be sure to check out our partner podcasts:You can find JJ at Southern Demonology, https://www.southerndemonology.comYou can find Vic at Trailer Trash Terrors, https://podcasters.spotify.com/pod/show/vic-hermansonYou can find Father Birdsong at https://www.becomingahouseofprayer.com, as well as hear his new podcast Ending the Curse at:https://open.spotify.com/show/5yL7ZAN4wcRKnMPAlalVXW Hosted on Acast. See acast.com/privacy for more information.

In the wake of the 2020 U.S. presidential election, claims of widespread voter fraud have fueled political controversies and public distrust. But how credible are these claims?In this episode, we sit down with political scientist Justin Grimmer to discuss his new paper “An Evaluation of Fraud Claims from the 2020 Trump Election Contests” which systematically debunks over 1,000 fraud allegations from the 2020 election. Grimmer and his co-author comb through the data, analyzing everything from accusations of underage voting to machine vote-switching. Are these claims grounded in reality, or are they just a tool for sowing doubt? Tune in as we dive into the data, the myths, and the facts about the integrity of American elections.

Dive into an in-depth statistical breakdown of the Green Bay Packers' performance after three weeks of NFL action. Despite unconventional strategies, both offense and defense are ranking in the top 10 across multiple metrics. Discover how the Packers are excelling in unexpected areas, from their efficient passing game despite low volume to their surprisingly solid run defense. This analysis covers everything from EPA to advanced stats, providing a nuanced look at the team's strengths and potential areas for improvement as they prepare to face tougher competition.

Dive into an in-depth statistical breakdown of the Green Bay Packers' performance after three weeks of NFL action. Despite unconventional strategies, both offense and defense are ranking in the top 10 across multiple metrics. Discover how the Packers are excelling in unexpected areas, from their efficient passing game despite low volume to their surprisingly solid run defense. This analysis covers everything from EPA to advanced stats, providing a nuanced look at the team's strengths and potential areas for improvement as they prepare to face tougher competition.

Teil 2 des Gesprächs mit Christoph Sorg. Diesmal zur Geschichte der Planung im Kapitalismus und 'Finance as a form of planning'.   Shownotes: Christoph bei der HU Berlin: https://www.sowi.hu-berlin.de/de/lehrbereiche/zukunftarbeit/soziologie-von-arbeit-wirtschaft-und-technologischem-wandel-team/christoph-sorg Christophs Webseite: https://christophsorg.wordpress.com/ Christoph bei twitter (X): https://x.com/christophsorg Sorg, C. (2024). Postkapitalistische reproduktion. PROKLA. Zeitschrift Für Kritische Sozialwissenschaft, 54(215): https://www.prokla.de/index.php/PROKLA/article/view/2122 Sorg, C. (2023). Finance as a form of economic planning. Competition & Change.: https://journals.sagepub.com/doi/10.1177/10245294231217578 Sorg, C. (2022). Failing to plan is planning to fail: Toward an expanded notion of democratically planned postcapitalism. Critical Sociology, 49(3), 475–493.: https://journals.sagepub.com/doi/full/10.1177/08969205221081058 Sorg, C. (2022). Social movements and the politics of debt – Transnational resistance against debt on three continents. [open access]: https://www.aup.nl/en/book/9789048553273/social-movements-and-the-politics-of-debt Groos, J. und Sorg, C.(Hrsg.) (i.V., geplant für 2025). Creative Construction: Democratic Planning in the 21st Century and beyond. Alternatives to Capitalism Series. Bristol University Press. https://bristoluniversitypress.co.uk/creative-construction Sorg, C. und Groos, J. (Hrsg., im Erscheinen). ‘Rethinking Economic Planning'. Competition & Change Special Issue. Weitere Shownotes Engels, F. (1894). ‘Anti-Dühring (Herrn Eugen Dühring's Umwälzung der Wissenschaft)': http://www.mlwerke.de/me/me20/me20_001.htm   [Zitat “islands of conscious power in this ocean of unconscious co-operation like lumps of butter coagulating in a pail of buttermilk" aus] Robertson, D. H. (1923). ‚The Control Of Industry' S. 85: https://archive.org/details/in.ernet.dli.2015.262304/page/n97/mode/2up Simon, H. ( 1991). ‚Organizations and Markets‘ (Journal of Economic Perspectives): https://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.5.2.25 [Zu Dobbs Kritik der Neoklassik aus marxistischer Sicht s. etwa] Dobb, Maurice (1937) ‘Political Economy And Capitalism Some Essays In Economic Tradition': https://archive.org/details/in.ernet.dli.2015.263349/page/n1/mode/2up Zur Debatte zwischen Maurice Dobb und Paul Sweezy, siehe: https://classes.matthewjbrown.net/teaching-files/marx/dobb-sweezy-debate.pdf Block, F. (1977). ‘The Ruling Class Does Not Rule' (Socialist Revolution Nr. 33): https://www.sscc.wisc.edu/soc/faculty/pages/wright/SOC621/RulingClass.pdf Lindblom, C. (1982). ‘The Market as Prison' (The Journal of Politics Vol. 44, No. 2): https://web.archive.org/web/20170215043139/http://sites.uci.edu/ipeatuci/files/2014/12/Lindblom-Market-Prison.pdf Cummings, S. & Daellenbach U. (2009). ‘A Guide to the Future of Strategy?: The History of Long Range Planning': https://www.sciencedirect.com/science/article/abs/pii/S0024630108001234 Laibman, D. (2022). ‘Systemic Socialism: A Model of the Models': https://guilfordjournals.com/doi/10.1521/siso.2022.86.2.225 Fisher, M. (2009). ‚Capitalist Realism – Is There No Alternative?': https://en.wikipedia.org/wiki/Capitalist_Realism Graeber, D. (2013). ‘The Utopia of Rules – On Technology, Stupidity, and the Secret Joys of Bureaucracy' (u. a. zum “Iron Law of Liberalism“): https://theanarchistlibrary.org/library/david-graeber-the-utopia-of-rules Christophers, B. (2024). ‚The Price is Wrong - Why Capitalism Won't Save the Planet': https://www.versobooks.com/products/3069-the-price-is-wrong Alami, I. & Dixon, A. (2019). ‘The Strange Geographies of the New State Capitalism': https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3457979 Schumpeter, J. (1939). ‘Business Cycles: A Theoretical, Historical, and Statistical Analysis of the Capitalist Process': https://www.mises.at/static/literatur/Buch/schumpeter-business-cycles-a-theoretical-historical-and-statistical-analysis-of-the-capitalist-process.pdf Krippner, G. (2012). ‘Capitalizing on Crisis – The Political Origins of the Rise of Finance': https://www.hup.harvard.edu/books/9780674066199 Streeck, W. (2013). 'Gekaufte Zeit – Die vertagte Krise des demokratischen Kapitalismus‘ [Leseprobe mit Inhalt + Einleitung]: https://www.bpb.de/system/files/dokument_pdf/9783518585924.pdf Devine, P. (1988). ‘Democracy and Economic Planning: The Political Economy of a Self-Governing Society': https://www.researchgate.net/publication/340148308_Democracy_and_Economic_Planning_The_Political_Economy_of_a_Self-governing_Society [Zur Mont Pelerin Society, s. etwa] Mirowski, P. & Plehwe, D. (2015) ‘The Road from Mont Pèlerin – The Making of the Neoliberal Thought Collective‘: https://www.degruyter.com/document/doi/10.4159/9780674495111/html Braun, B. (2021). ‘Asset manager capitalism as a corporate governance regime': https://benjaminbraun.org/assets/pubs/braun_amc-as-corporate-governance-regime.pdf Braun, B. (2021). ‘Central bank planning for public purpose': https://benjaminbraun.org/assets/pubs/braun_central-bank-planning-public-purpose.pdf Polanyi, K. (1944). ‘The Great Transformation – The Political and Economic Origins of Our Time' [gesamtes Buch als pdf; u. a. Zitat S. 147 „Laissez-faire was planned; planning was not“]: https://inctpped.ie.ufrj.br/spiderweb/pdf_4/Great_Transformation.pdf Phillips, L. & Rozworski, M.(2019). ‘The People's Republic of Walmart – How the World's Biggest Corporations are Laying the Foundation for Socialism': https://en.wikipedia.org/wiki/The_People%27s_Republic_of_Walmart Sawyer, M. (1985). ‘Economics of Michal Kalecki': https://link.springer.com/book/10.1007/978-1-349-18031-8 Quebec Solidarity Fonds/Fonds de solidarité FTQ: https://www.fondsftq.com/en/personal/choose-the-fonds/act-solidarity Sorg, C. (2022). ‘Social movements and the politics of debt – Transnational resistance against debt on three continents' [ganzes Buch als pdf, u. a. zur Bewegung Strike Debt in Kalifornien, die öffentliche Banken für eine sozial-ökologische Transformation einsetzt]: https://library.oapen.org/handle/20.500.12657/57298 Block, F. (2019). ‘Financial democratization and the transition to socialism' https://journals.sagepub.com/doi/10.1177/0032329219879274 Roemer, J. (1996). ‘Equal Shares – Making Market Socialism Work': https://www.versobooks.com/products/1557-equal-shares Schweickart, D. (2011). ‚After capitalism‘: https://www.academia.edu/23023501/_David_Schweickart_After_Capitalism_New_Critical_Book4You_ Devine, P. (1988). ‘Participatory planning through negotiated coordination': https://www.semanticscholar.org/paper/Participatory-planning-through-negotiated-Devine/bb8dc49259c622084ff91404819d8e020e8dd776 Wright, E. O., (2010) ‘Envisioning Real Utopias': https://web.archive.org/web/20190927215917id_/https://www.ssc.wisc.edu/~wright/ERU_files/ENVISIONING%20REAL%20UTOPIIAS%20--%20complete%20manuscript%2012-2008.pdf Zum Meidner-Plan in Schweden (1970er) siehe zum Beispiel: https://www.jacobin.de/artikel/rudolf-meidner-der-radikale-reformer-sozialdemokratie-meidner-plan-olof-palme Neil Warners Promotionsprojekt bei der London School of Economics: https://www.lse.ac.uk/sociology/people/research-students/neil-warner/neil-warner Weber, I. (2021). ‘How China Escaped Shock Therapy – The Market Reform Debate': https://www.routledge.com/How-China-Escaped-Shock-Therapy-The-Market-Reform-Debate/Weber/p/book/9781032008493 Arrighi, G. (2008). ‘Adam Smith in Beijing – Die Genealogie des 21. Jahrhunderts‘ [gesamtes Buch verlinkt]: https://www.vsa-verlag.de/nc/detail/artikel/adam-smith-in-beijing/ Pomeranz, K. (2000). ‘The Great Divergence: Europe, China, and the Making of the Modern World Economy': http://piketty.pse.ens.fr/files/Pomeranz2000.pdf Scott, J. (2008). ‘Authoritarian High Modernism‘ (Kapitel 3 aus dem Buch Seeing Like a State – How Certain Schemes to Improve the Human Condition Have Failed): https://faculty.washington.edu/stevehar/Scott.pdf   Thematisch angrenzende Folgen S01E59 | Joscha Wullweber zu Zentralbankkapitalismus: https://www.futurehistories.today/episoden-blog/s01/e59-joscha-wullweber-zu-zentralbankkapitalismus/ S02E48 | Heide Lutosch, Christoph Sorg und Stefan Meretz zu Vergesellschaftung und demokratischer Planung: https://www.futurehistories.today/episoden-blog/s02/e48-heide-lutosch-christoph-sorg-und-stefan-meretz-zu-vergesellschaftung-und-demokratischer-planung/ S02E09 | Isabella M. Weber zu Chinas drittem Weg: https://www.futurehistories.today/episoden-blog/s02/e09-isabella-m-weber-zu-chinas-drittem-weg/ S02E33 | Pat Devine on Negotiated Coordination: https://www.futurehistories.today/episoden-blog/s02/e33-pat-devine-on-negotiated-coordination/ S02E19 | David Laibman on Multilevel Democratic Iterative Coordination: https://www.futurehistories.today/episoden-blog/s02/e19-david-laibman-on-multilevel-democratic-iterative-coordination/ S02E08 | Thomas Biebricher zu neoliberaler Regierungskunst: https://www.futurehistories.today/episoden-blog/s02/e08-thomas-biebricher-zu-neoliberaler-regierungskunst/ S02E47 | Matt Huber on Building Socialism, Climate Change & Class War: https://www.futurehistories.today/episoden-blog/s02/e47-matt-huber-on-building-socialism-climate-change-class-war/ S03E17 | Klaus Dörre zu Utopie, Nachhaltigkeit und einer Linken für das 21. Jahrhundert: https://www.futurehistories.today/episoden-blog/s03/e17-klaus-doerre-zu-utopie-nachhaltigkeit-und-einer-linken-fuer-das-21-jh/ Future Histories Kontakt & Unterstützung Wenn euch Future Histories gefällt, dann erwägt doch bitte eine Unterstützung auf Patreon: https://www.patreon.com/join/FutureHistorie Schreibt mir unter office@futurehistories.today Diskutiert mit auf Twitter (#FutureHistories): https://twitter.com/FutureHpodcast auf Bluesky: https://bsky.app/profile/futurehistories.bsky.social auf Instagram: https://www.instagram.com/futurehpodcast/ oder auf Mastodon: https://mstdn.social/@FutureHistories Webseite mit allen Folgen: www.futurehistories.today English webpage: https://futurehistories-international.com/  Episode Keywords #ChristophSorg, #JanGroos, #FutureHistories, #Podcast, #Sphärentrennung, #Planung, #SozialistischePlanung, #KapitalistischePlanung, #Unternehmensplanung, #StaatlichePlanung, #Neoliberalismus, #Neoliberalisierung, #Hoch-Moderne, #Zentralbankkapitalismus, #Finanzkapitalismus, #Zentralbankplanung, #Vergesellschaftung, #Meidner-Plan, #Kapitalstreik, #Marktsozialismus, #SozialeBewegungen, Sozial-ökologischeTransformation, #Finanzialisierung, #Asset-ManagerKapitalismus, #Postkapitalismus, #IronLawOfLiberalism, #StrategischesManagement, #Governance, #Deregulierung, #Staatsausgaben, #Fiskalpolitik, #Staatsquote, #Bidenomics, #CapitalistRealism, #Liberalismus, #Staatskapitalismus, #De-risking, #Markt-Koordination, #StrikeDebt, #BenjaminBraun

Send us a Text Message.In this episode, Edward Jaeck shares his insights on accelerating the speed of engineering. He discusses his experiences at companies like Intel, Medtronic, and Lowell, and how those shaped his approach to growth and quality management at SINE18. Edward delves into topics such as the use of Minitab and other data analysis tools, supply chain management, the importance of GD&T in product design, strategic planning for engineering businesses, and the impact of FDA regulations on medical device innovation. He also shares practical tips on using design of experiments (DOE) and metrology matching to optimize engineering designs and improve quality control.Main Topics:Time-saving techniques in medical device manufacturingEngineering career path, company strategy, and quality managementWorking at Intel, learning from best-in-class processes and toolsUsing Minitab for data analysis in quality assuranceUsing Excel and other software for data analysis and quality controlSupply chain management, supplier quality, and design engineeringImportance of GD&T in product design and quality controlStrategic planning for businesses with a focus on engineeringFDA regulations and their impact on medical device innovationUsing design of experiments (DOE) to optimize engineering designsMetrology matching for quality control in manufacturingRapid prototyping, design for manufacturability, and critical feature confirmation in medical device designAbout the guest: Edward Jaeck is a distinguished engineering professional with a robust career spanning over two decades in design, manufacturing, quality, and program management. Currently, he serves as the President of SINE18, LLC, where he provides strategic guidance in manufacturing and quality to various clients. His previous roles include Vice President of Operations and Quality as well as Vice President of Strategic Growth and Business Development at Lowell, Inc. At Medtronic, he held roles as a Principal Component Engineer and Principal Design Assurance Engineer.Edward's experience is further highlighted by his tenure at Intel Corporation, where he managed significant R&D projects and contributed to the development of numerous patents in electronic packaging. Lastly, Edward conceived and patented a reconfigurable vehicle body and truckbed.Links:Edward Jaeck - LinkedInSINE18 WebsiteAbout Being An Engineer The Being An Engineer podcast is a repository for industry knowledge and a tool through which engineers learn about and connect with relevant companies, technologies, people resources, and opportunities. We feature successful mechanical engineers and interview engineers who are passionate about their work and who made a great impact on the engineering community. The Being An Engineer podcast is brought to you by Pipeline Design & Engineering. Pipeline partners with medical & other device engineering teams who need turnkey equipment such as cycle test machines, custom test fixtures, automation equipment, assembly jigs, inspection stations and more. You can find us on the web at www.teampipeline.us

The Domesday Book sounds ominous, but it was actually a data gathering project that was compiled in the 11th century at the behest of William the Conqueror.  Research: Barlow, Frank. "William I". Encyclopedia Britannica, 13 May. 2024, https://www.britannica.com/biography/William-I-king-of-England Baxter, Stephen. “Getting Domesday done: a new interpretation of William the Conqueror's survey.” Oxford University Press Blog. Feb. 12, 2021. https://blog.oup.com/2021/02/getting-domesday-done-a-new-interpretation-of-william-the-conquerors-survey/ Baxter, Stephen. “How and Why Was Domesday Made?” The English Historical Review, Volume 135, Issue 576, October 2020, Pages 1085–1131, https://doi.org/10.1093/ehr/ceaa310 Britannica, The Editors of Encyclopaedia. "Domesday Book". Encyclopedia Britannica, 15 Jul. 2024, https://www.britannica.com/topic/Domesday-Book Britannica, The Editors of Encyclopaedia. "Harold II". Encyclopedia Britannica, 29 May. 2024, https://www.britannica.com/biography/Harold-II Cartwright, Mark. "Domesday Book." World History Encyclopedia. Last modified November 19, 2018. https://www.worldhistory.org/Domesday_Book/ Cellan-Jones, Rory. “The Domesday Reloaded Project – The 1086 Version.” BBC News. May 13, 2011. https://www.bbc.com/news/technology-13395454 “The Domesday Book.” Historic UK. https://www.historic-uk.com/HistoryUK/HistoryofEngland/Domesday-Book/ “The Domesday Book Online.” https://www.domesdaybook.co.uk/index.html Domesday Reloaded. https://webarchive.nationalarchives.gov.uk/ukgwa/20120919052725/http://www.bbc.co.uk/history/domesday Domesday Reloaded Blog. https://www.bbc.co.uk/blogs/domesday “Hull Domesday Project.” https://www.domesdaybook.net/home McDonald, John, and G. D. Snooks. “Statistical Analysis of Domesday Book (1086).” Journal of the Royal Statistical Society. Series A (General), vol. 148, no. 2, 1985, pp. 147–60. JSTOR, https://doi.org/10.2307/2981946 “New insights from original Domesday survey revealed.” University of Oxford, News and Events. Jan. 12, 2021. https://www.ox.ac.uk/news/2021-01-12-new-insights-original-domesday-survey-revealed Open Domesday. https://opendomesday.org/ Sally P. J. Harvey. “Domesday Book and Anglo-Norman Governance.” Transactions of the Royal Historical Society, vol. 25, 1975, pp. 175–93. JSTOR, https://doi.org/10.2307/3679092 Thomas, Hugh M. “The Significance and Fate of the Native English Landholders of 1086.” The English Historical Review, Volume 118, Issue 476, April 2003, Pages 303–333, https://doi.org/10.1093/ehr/118.476.303 Wood, Michael. “Domesday: A Search for the Roots of England.” Facts on File. 1988. See omnystudio.com/listener for privacy information.

In this JCO Precision Oncology Article Insights episode, Miki Horiguchi summarizes two articles: “Biomarker-Driven Oncology Trial Design and Subgroup Characterization: Challenges and Potential Solutions” by Wang, et al. published on June 7, 2024, and “Biomarkers in Oncology: Complexities in Biomarker-Driven Studies and Statistical Analysis” by Uno, et al. published on July 22, 2024. TRANSCRIPT Miki Horiguchi: Hello and welcome to JCO Precision Oncology Article Insights. I'm your host, Miki Horiguchi, an ASCO Journal Editorial Fellow. Today, I'll be providing summaries for two articles.   The first article is a review article titled, “Biomarker-Driven Oncology Trial Design and Subgroup Characterization: Challenges and Potential Solutions,” by Dr. Jian Wang and colleagues. Biomarker driven clinical trials represent a key component of precision medicine, focusing on tailoring treatments to patients based on specific biomarkers. By identifying and targeting therapies to patients who are most likely to benefit, these trials aim to improve treatment outcomes and reduce adverse events.  The article highlights several important points to optimize biomarker driven clinical trials. The authors first reviewed US FDA approvals in biomarker defined subgroups and conducted an in-depth analysis of key regulatory considerations. They developed an innovative decision tree to guide designing biomarker based clinical trials. In addition, they clarified the statistical challenges, including ones found in the all-comers study design. The authors found that most of the US FDA approvals are being restricted to the biomarker positive subgroup, indicating that observed treatment benefits in the overall population are heavily influenced by the biomarker positive patients. This raises concerns as the treatment effect in the biomarker negative subgroup may be smaller but still clinically meaningful. Additionally, achieving adequate statistical power for the biomarker negative subgroup is often not feasible. These factors could limit access to the treatment for biomarker negative patients who might benefit from it. To address these challenges, the authors introduced various statistical methods and conducted numerical studies to compare the performance of several of these methods. They found that a promising approach is a Bayesian Dynamic Borrowing Method that leverages evidence from the biomarker positive subgroup to evaluate the treatment effect in the biomarker negative subgroup. The authors emphasize that any statistical method used for subgroup analysis must be prespecified. Proactive engagement with regulatory authorities and alignment with the guidelines before finalizing study designs and analysis plans are also essential.  The second article is an editorial which accompanies the first article, "Biomarkers in Oncology: Complexities in Biomarker-Driven Studies and Statistical Analysis” by Dr. Hajime Uno and Dr. Miki Horiguchi. In this editorial, the authors introduced additional statistical considerations that can further enhance informed decision making based on the results of biomarker driven oncology clinical trials. Specifically, the authors raised three key points to consider.   Number one is controlling the type 1 error rate. The qualitative assessment of a new treatment involves a statistical test, while regulatory decisions consider the totality of evidence rather than evidence based solely on P values. Statistical tests play a crucial role in determining treatment benefits in each of the three analysis populations, that is, the biomarker positive, the biomarker negative, and the all-comers population. The type 1 error rate of a statistical test is the probability of rejecting the null hypothesis when it is actually true. The threshold for the type 1 error rate is conventionally at 0.05. The threshold value can vary depending on the situation, but maintaining the type 1 error rate at the nominal level is essential to ensure the reliability of the conclusions drawn from a statistical test. Any inflation or deflation of the type 1 error rate from the nominal level can lead to significant issues in regulatory decision making.  Number two is choosing robust and interpretable quantitative summaries of treatment effect. Statistical tests provide a binary outcome aiding regulatory decisions like drug approval. However, quantifying the magnitude of the treatment effect is more informative for clinicians and patients when assessing the risk benefit balance of the treatment. Therefore, the choice of a summary measure to quantify the between group difference is also important. Dr. Wang and colleagues use the Cox Hazard ratio in their study, which is the most common summary measure in oncology trials. Yet this measure relies on several assumptions. Specifically, when it is applied to biomarker driven trials, the proportional hazards assumption must hold in both biomarker positive and biomarker negative subgroups.   In addition, when a stratified Cox analysis is used to integrate the hazard ratio of the two subgroups to derive the hazard ratio for the all-comers population, there is an underlying assumption that the hazard ratios from the biomarker positive and biomarker negative subgroups are the same. These assumptions do not usually hold in practice, and violations of these assumptions can compromise the interpretability of the estimated between group difference and its generalizability to future patient populations. It has also been discussed widely in both statistical and clinical journals that the hazard ratio is difficult to interpret because of the lack of absolute hazards from the treatment and control groups. To address these limitations, Doctors Uno and Horiguchi suggested using alternative summary measures, including restricted mean survival time and average hazard with survival rate, which do not share these limitations and offer more robust and interpretable results than the conventional hazards ratio approach.   Number three is using coherent statistical analysis models for the three analysis populations. In the first article, Dr. Wang and colleagues introduced a Bayesian Dynamic Borrowing approach. The primary analysis of their approach borrowed information from the biomarker positive subgroup only when analyzing the biomarker negative subgroup. They did not perform the borrowing when they analyzed the biomarker positive subgroup. The accompanying editorial highlights the potential bias introduced by this asymmetric approach. Specifically, suppose the treatment effect in the biomaker positive subgroup is pronounced, but that in the biomarker negative subgroup is weaker. In this case, their asymmetric approach produces a more favorable result for the biomarker positive subgroup compared to the symmetric approach, where each subgroup follows the information from the other subgroup. Providing a convincing rationale for using an asymmetric approach or conducting a sensitivity analysis with a coherent approach for both subgroups would be required.  To conclude, biomarker driven oncology trials are diverse and complex, requiring a tailored approach to statistical analysis that considers the unique characteristics of each trial. The Bayesian approach represents one useful analytic approach, but might not be a universal solution for all biomarker driven studies. Further discussions among stakeholders, such as those from regulatory authorities, clinicians, and biostatisticians will stimulate further research on the optimal design and analysis methods for biomarker driven clinical trials in precision oncology.  Thank you for listening to JCO Precision Oncology Article Insights and please tune in for the next topic. Don't forget to give us a rating or review and be sure to subscribe so you never miss an episode. You can find all ASCO shows at asco.org/podcast.   The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions.  Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.      

On this week's episode of the pod, we'll walk through a study together! Jess leads a journal club session, diving deep into a study about the potential link between prenatal Tylenol use and signs of Autism Spectrum Disorder (measured using language assessments). She shares her approach to understanding research and breaks down a specific study, highlighting crucial elements like research design, sample selection, and how comparison groups are created. Jess analyzes the results, explains the statistics, and examines the study's strengths and limitations. Finally, she sums up the key takeaways and what they mean for future research. This episode is a must-listen for anyone interested in research methods or curious about this topic! All our sources from this episode are available at: https://www.unbiasedscipod.com/episodes/acetaminophen-autism-connection (00:00) Intro and Farewell to Dr. Andrea Love (02:54) Journal Club: Acetaminophen and Autism Spectrum Disorder (03:20) Understanding Autism Spectrum Disorder (08:45) The Relationship Between Tylenol and Autism Spectrum Disorder (09:36) Safety Concerns and Observational Studies (10:35) Causality and Study Design (12:50) Confounding Variables and Observational Studies (14:30) Study: Examining the Relationship of Acetaminophen Use During Pregnancy with Early Language Development in Children (15:54) Reading a Study: Study Design and Statistical Analysis (21:52) How Participants Were Recruited For The Study (24:20) Assessing Language (26:10) Other Variables and Adjustment Factors Considered (28:15) Statistical Analysis (31:20) Study Population and Sample Size (34:17) Comparison of Acetaminophen Users and Non-Users (40:45) Measure of Effect, Odds Ratios, p-Values and Null Values (46:23) Strengths and Limitations of the Study (49:07) Summary and Final Thoughts Interested in advertising with us? Please reach out to advertising@airwavemedia.com, with “Unbiased Science” in the subject line. PLEASE NOTE: The discussion and information provided in this podcast are for general educational, scientific, and informational purposes only and are not intended as, and should not be treated as, medical or other professional advice for any particular individual or individuals. Every person and medical issue is different, and diagnosis and treatment requires consideration of specific facts often unique to the individual. As such, the information contained in this podcast should not be used as a substitute for consultation with and/or treatment by a doctor or other medical professional. If you are experiencing any medical issue or have any medical concern, you should consult with a doctor or other medical professional. Further, due to the inherent limitations of a podcast such as this as well as ongoing scientific developments, we do not guarantee the completeness or accuracy of the information or analysis provided in this podcast, although, of course we always endeavor to provide comprehensive information and analysis. In no event may Unbiased Science or any of the participants in this podcast be held liable to the listener or anyone else for any decision allegedly made or action allegedly taken or not taken allegedly in reliance on the discussion or information in this podcast or for any damages allegedly resulting from such reliance. The information provided herein do not represent the views of our employers. Learn more about your ad choices. Visit megaphone.fm/adchoices

What does Big Data actually mean? How has the science of Big Data changed recently? What are the potential benefits and pitfalls of Big Data? See omnystudio.com/listener for privacy information.

Tune into #TGV409 to get clarity on the above topic. Here are the pointers from Karthik's conversation with Naveen Samala on The Guiding VoiceFirst rapid fire/Introduction and context settingToughest lessons learned in Karthik's career journeyWhat is Generative AI and how it differs from other AI approaches?Why ChatGPT is getting so much attention when there are many other Gen AI tools in the market?What are the foundational principles and techniques behind generative models in AI?What is causing the hype over Gen AI, now? Ethical concerns associated with Generative AI, such as deepfakes and misinformation?How is Generative AI transforming the creative industry, such as art, music, or literature?What are the current challenges and limitations of Generative AI, and how can researchers and practitioners overcome them?How do existing legal frameworks and regulations address the use of Generative AI, and what gaps need to be addressed?WITTY ANSWERS TO THE RAPID-FIRE QUESTIONSONE PIECE OF advice for individuals aspiring to get into Generative AI research or development?TRIVIA ABOUT - least known facts about Gen AI ABOUT THE GUEST:Karthik Vadhri is an award-winning data science leader with 10 years of experience in AI, Statistical Analysis, and Predictive models across Finance, Customer Experience & IT. Connect with Karthik on LinkedIn:https://www.linkedin.com/in/karthikvadhri/Medium - https://medium.com/intuition-matters Connect with the Host on LinkedIn: Naveen Samala: LinkedIn | Personal WebsiteSupport Our Mission: To contribute to our mission, consider making a donation (any amount of your choice) via PayPal: Donate HereExplore Productivity: Become a productivity monk by enrolling in this course: Productivity Monk CourseDiscover "TGV Inspiring Lives" on Amazon: Volume 1 available on Kindle and Paperback:KindlePaperbackConnect in Your Preferred Language: #TGV is available in Hindi & Telugu on YouTube:HindiTeluguAudio Podcast: Listen to #TGV on Spotify:HindiTeluguFollow on Twitter:@GuidingVoice@NaveenSamala Hosted on Acast. See acast.com/privacy for more information.

Finding patterns, repetition, and anomalies in the 23 years of Pantone's Color Of The Year Watch this episode: Youtube: https://youtu.be/1kubPP2u3Xo?si=7v2f-BysjRBi1hsE Spotify: https://open.spotify.com/episode/7pQjVBAoQFkt4UdGHfR5wL?si=6184c33c617b4623 Need design advice or direction on your latest project? Schedule a consultation with me:  ⁠https://www.softlandingstudio.com/work-with-me⁠ Join us on social media for more design tips and fun: ⁠⁠https://www.instagram.com/softlandingpodcast/ --- Support this podcast: https://podcasters.spotify.com/pod/show/softlanding/support

Have you come across a map on social media showing the ratio of female to male metal musicians by country? Or have you seen a bar graph showing what months the most metal albums are released annually? If you have, there is a good chance that you have come across data visualizations created by Metal Stats. In this episode, the Boo Boo Butt Boys™ Judge Dredd and Wulf interview Metal Stats about his process for scraping and shaping data from Metal Archives while controlling for variables. They discuss the eternal questions regarding regionalism in metal, such as the infamous Denmark Paradox (a.k.a. in light of having produced Mercyful Fate, why did Denmark never produce black metal to the same degree that the rest of their Scandinavian brethren did?). We also explore the relationship between a country's GDP and metal produced by that country. Finally, we investigate why both creators and viewers of data visualization need to think critically about data that is being presented.  We make references to many maps and graphs, mostly created by Metal Stats, throughout the episode. Check out the links below to see them for yourselves! Episode References: Map of countries by metal bands per capita Metal bands in Finland per capita by municipality Comparison of metal bands per country per 1 million people and country average happiness score European metal vs. non-metal albums statistics Deep dive and analysis of the trifecta Ratio of female to male metal musicians by country (1 female:100 male ratio) Metal databases beyond Metal Archives Metal release counts over time by release type (LP, EP, video, box set, etc.) Metal release type breakdown by percentage of all releases by subgenre Metal band name length distribution How many albums have metal bands typically released? How many bands have metal musicians typically been in? (does not include live members) How many members do metal bands typically have? Metal album release count by day of the year Number of bands compared to how long it takes them to release their debut How much time do metal bands typically take between albums? Network of similar artists with "technical" genre tag Metal Stats' Socials: Flourish (data visualizations website): app.flourish.studio/@metalstats Twitter: https://twitter.com/Metalplots Wordpress: https://metalstats.wordpress.com/

Newzoo report of 2022 gives us a look under the hood into the gaming world as it stands. We look at the numbers and give our thoughts! Losing Lives: Dante's Inferno

A new trial tested a new way to give FSH to improve ovarian function in obese women without PCOS who are struggling to conceive. ResourcesBorgert BJ, Bacchus MW, Hernandez AD, Potts SN, Campbell KJ. The availability of gonadotropin therapy from FDA-approved pharmacies for men with hypogonadism and infertility. Sex Med. 2023;11(2):qfad004. Published 2023 Apr 10. doi:10.1093/sexmed/qfad004Kumar TR. Rerouting of follicle-stimulating hormone secretion and gonadal function. Fertil Steril. 2023;119(2):180-183. doi:10.1016/j.fertnstert.2022.12.005Luu TH, Kuhn K, Bradford AP, Wempe MF, Wittenburg L, Johnson RL, Carlson NE, Kumar TR, Polotsky AJ, Effects of Pulsatile IV FSH Treatment on Ovarian Function in Women with Obesity, Fertility and Sterility (2023), doi: https://doi.org/10.1016/j.fertnstert.2023.05.170University of Colorado, Denver. Dysregulation of FSH in Obesity: Functional and Statistical Analysis. ClinicalTrials.gov identifier: NCT02478775. Updated April 7, 2022. Accessed June 12, 2023. https://clinicaltrials.gov/ct2/show/NCT02478775

Wharton's Shane Jensen, Cade Massey, and Adi Wyner do a statistical analysis of balls & strikes in MLB. Hosted on Acast. See acast.com/privacy for more information.

Heike Hofmann, Professor of Statistics at Iowa State University, joins the show to discuss forensic bullet matching. Hofmann explains how bullet striations are created, how she uses statistical analysis when matching bullets, how she became involved in this field, and much more. TwitterHeike Hofmann @heike_hhGus Hurwitz @GusHurwitzNebraska Governance and Technology Center @UNL_NGTCLinksAutomatic Matching of Bullet Land Impressions by Heike HofmannComparison of Three Similarity Scores for Bullet LEA Matching by Heike HofmannThe X FilesNebraska Governance and Technology Center

Jeffrey Partyka, Principal Data Science Engineer at Xactly, joins me on Tech Talks Daily in a discussion about the rise of data scientists and their value for companies. Jeffrey shares how forecasting models work, the importance of statistical analysis, and how wider teams can utilize data to create better business products. He discusses how this role has evolved and is better institutionalized in recent years. We also explore Xactly's survey report - Insights on The Sales Talent Crisis of more than 400 U.S. sales leaders, and the lessons learned from the great resignation. Jeffrey Partyka has been a principal data science engineer at Xactly since July 2020, actively conducting and overseeing numerous machine learning/statistical projects relating to sales forecasting, churn, cross-selling, and other sales areas. Jeff has worked in data science since 2007 as a Big Data engineer, data science team lead, research & development manager, and part-time professor across multiple domains, including geospatial indexing, psychometrics, productivity optimization, and sales performance management.

My 2022 Podcast Performance Statistical Analysis Presentation Is Provided https://wrappedforpodcasters.byspotify.com/en/?id=5456fa4c1889cf9c691152dffa82e86f466581f7bbf096e9e50771d7321fb743 https://anchor.fm/jack-bosma3/episodes/My-2022-Podcast-Performance-Statistical-Analysis-Presentation-Is-Provided-e1s1ulq #podcast #performance #presentation --- Send in a voice message: https://anchor.fm/jack-bosma3/message Support this podcast: https://anchor.fm/jack-bosma3/support

What You'll Learn From This Episode:You want to make sure that when your audience is searching on Google, Especially when they're searching your own brand name, that they see the message as you intended.Why you need to educate Google like you would a child.Don't make the mistake Amazon did for over 20 years.Related Links and Resources:Jason's Gift to you:Copywriting Secrets for SEO in 2022. Get your copy right here:https://solutions.kalicube.com/produce-great-copywriting-for-seo-in-2022Summary:Jason Barnard (The Brand SERP Guy) is an author and digital marketing consultant. He specialises in Brand SERP optimisation and Knowledge Panel management.Jason has over 2 decades of experience in digital marketing, starting in 1998 (the year Google was incorporated) with a website for kids based on the cartoon characters Boowa & Kwala that he built up to become one of the 10,000 most visited sites in the world. In the 1990s he was a professional musician with the Punk-Folk group The Barking Dogs. In 1988 he graduated from Liverpool John Moores University with a degree in Economics and Statistical Analysis. Learn more at: https://kalicube.com/

You never know when you might need to teach yourself a new skill. For example, how to become found by a target audience of parents looking for great educational content... or to get your band in front of potential audiences and booking agents. Jason Barnard (akaThe Brand SERP Guy) did both of these things and more. With over 2 decades of experience in digital marketing, he got started started in the year Google was incorporated with a website for kids based on the characters Boowa & Kwala that he built up to become one of the 10,000 most visited sites in the world. Before that, he was a professional musician with the Punk-Folk group The Barking Dogs. And before that he studied Economics and Statistical Analysis at Liverpool John Moores University. Visit jasonbarnard.com or... ...run a search for "liverpool john moores university notable alumni" on Google to see if Jason's photo is still in good company

Jason Barnard (The Brand SERP Guy) is an author and digital marketing consultant. He specializes in Brand SERP optimization and Knowledge Panel management. Matt Rouse, Jason has over 2 decades of experience in digital marketing, starting in the year Google was incorporated with a website for kids based on the characters Boowa & Kwala that he built up to become one of the 10,000 most visited sites in the world. Before that he was a professional musician with the Punk-Folk group The Barking Dogs. And before that he studied Economics and Statistical Analysis at Liverpool John Moores University. https://jasonbarnard.com/ https://kalicube.com/about/invite-jason/invite-jason-barnard-on-your-podcast/ Matthew Rouse (host & author) https://matthewrouse.com Hook Digital Marketing Canada: https://hookdm.ca Hook SEO: https://hookseo.com

How does the blockbuster Juan Soto trade impact his baseball card values? If you like watching baseball card videos on YouTube - please be sure to check out my channel: Bart the Ripper Follow me on TikTok: @cardripper Email me at anytime: bartcards24@gmail.com to get a list of my value breaks - where I offer cards at less than cost. Or just email to say hello and let me know how you participate in the hobby. Do me a huge favor and subscribe to the podcast, leave a rating and a review, and share with a friend. Have a great day my friend!

The Milwaukee Brewers are 75 games into the season, the perfect time to start analyzing trends of the larger sample size. We talk offense, pitching, management, Christian Yelich, prospects and more in this brand new episode. Ladies & Gentlemen, you are listening to the IKE Brewers Podcast. View our new website at IKEPODCASTNETWORK.COM Follow the IKE Brewers Podcast on Spotify. Subscribe today on Apple Podcasts.

DATA SCIENCE AND THE SIX SIGMA PHILOSOPHY | KARTHIK VADHRI | #TGV235“The data speaks for itself. That's the easiest measure of success.”~Caitlin SmallwoodTune into #TGV235 to get clarity on the above topic. Here are the timestamp-based pointers from KARTHIK VADHRI's conversation with Naveen Samala0:00:00 INTRODUCTION AND CONTEXT SETTING 0:03:30: Karthik's PROFESSIONAL JOURNEY AND THE TOP 3 THINGS THAT HELPED IN His SUCCESS0:05:15 Six Sigma in layman's terms0:06:45 Data Science definition0:08:00 Tools that overlap Data Science and Six Sigma0:09:46 How lean six sigma helps data scientists?0:12:20 Should every data scientist acquire a six sigma certification?0:14:10 3 How to get Six Sigma certification?0:16:30 WITTY ANSWERS TO THE RAPID-FIRE QUESTIONS0:19:00 ONE PIECE OF ADVICE TO THOSE ASPIRING TO MAKE BIG IN THEIR CAREERS 0:20:30 TRIVIA ABOUT Six Sigma Belts hierarchy ABOUT THE GUEST:"What got you here, won't get you there" - Marshall Goldsmith An Award-winning data science leader with 8 years of experience in Statistical Analysis, Predictive models across Finance, Customer Experience & IT. He has a demonstrated history of working with businesses across multiple industries aiding them in data-driven decisions, leveraging a heavy dose of mathematics and applied statistics with visualization and a healthy sense of exploration. He had Facilitated & enabled business leaders with actionable insights by bringing data to life with a deep quantitative understanding of the domain/business unit. Karthik is Skilled in Python, R, Tableau, and Data Structures and is a strong engineering professional with a Certificate Program in Business Analytics focused in Data Science / Business Analytics from the Indian School of Business, and a Master's degree in Data Analytics and Visualization from International Institute of Information Technology, Hyderabad and a Harvard Business School graduate with a profound understanding of how successful products are built harnessing the power of AI, having data at the core of the business models, accelerating digital transformation. Connect with Karthik Vadhri:https://www.linkedin.com/in/karthikvadhri/Medium Publication - https://medium.com/intuition-matters CONNECT WITH THE FOUNDERS ON LINKEDIN:Naveen Samala: https://www.linkedin.com/in/naveensamalaSudhakar Nagandla: https://www.linkedin.com/in/nvsudhakarFOLLOW ON TWITTER:@guidingvoice@naveensamala@s_nagandla See acast.com/privacy for privacy and opt-out information.

Statistical Analysis with Nate Wilmot from ForTheBlogy.com Keystone Sports Network · Q4 Measuring Explosivity 04 – 11 – 22 Download KSN Podcast: The post Q4 Measuring Explosivity 4-11-22 appeared first on Keystone Sports Network.

On the twelfth episode of The Panzer Podcast, and the FINALE episode of the Panther series we are going to wrap up the whole burrito and finish off the Panther series. We'll get some insight into what the Allies, the Soviets, and (obviously?) the Germans thought of the Panther at the war's conclusion. After that, I get a little mushy and thank all of you wonderful folks for tuning in and going on this journey with me-- really-- thanks a million! Enjoy! John Burgess ThePanzerPodcast@gmail.com Additional sources for this episode: “Tactical and Technical Trends, No. 47, June 1, 1944” by US Army et all, “Operation Barbarossa: The Complete Organizational and Statistical Analysis, and Military Simulation Vol. 1” by Nigel Askey, “The Chemistry of Powder and Explosives Vol. 1-3”, by Tenney Davis, “Tank Power of the USSR: The First Full Encyclopedia” by Mikhail Nikolaevich Svirin, “Pantera, PzKpfw V” by Mikhail Nikolaevich Svirin, “Panther: external appearance and design changes.” By MacDougall and Block, “Die Fertigung von Kettenfahrzeugen bei der Firma MNH in Hannover von 1939-1945“ by F. Köhler, and “British Panthers” in Vol. 62 of “Wheels and tracks”, by David Fletcher.

In this episode, I discuss ways in which I've combined current event topics from the Iowa Hawkeyes sports teams with my data analysis and process improvement background. I explain a summary of 4 articles I have written, and invite you to read the ones that are of interest to you. Links True or False? Iowa Football Struggles in Games on the West Coast Will Jordan Bohannon Tie or Break the Big Ten 3-Point FG's Made Record? Did Iowa Women Suffer from Lack of Fouls in Loss to Creighton? Racial Differences in Football Player Retention at the University of Iowa Need help in your organization? Let's talk! Schedule a free support call BIZ-PI.com LeanSixSigmaDefinition.com Have a question? Submit a voice message at Anchor.fm --- Send in a voice message: https://anchor.fm/leansixsigmabursts/message

R is the 18th level of the Latin alphabet. It represents the rhotic consonant, or the r sound. It goes back to the Greek Rho, the Phoenician Resh before that and the Egyptian rêš, which is the same name the Egyptians had for head, before that. R appears in about 7 and a half percent of the words in the English dictionary.  And R is probably the best language out there for programming around various statistical and machine learning tasks. We may use tools like Tensorflow imported to languages like python to prototype but R is incredibly performant for all the maths. And so it has become an essential piece of software for data scientists.  The R programming language was created in 1993 by two statisticians Robert Gentleman, and Ross Ihaka at the University of Auckland, New Zealand. It has since been ported to practically every operating system and is available at r-project.org. Initially called "S," the name changed to "R" to avoid a trademark issue with a commercial software package that we'll discuss in a bit. R was primarily written in C but used Fortran and since even R itself.  And there have been statistical packages since the very first computers were used for math.  IBM in fact packaged up BMDP when they first started working on the idea at UCLA Health Computing Facility. That was 1957. Then came SPSS out of the University of Chicago in 1968. And the same year, John Sall and others gave us SAS, or Statistical Analysis System) out of North Carolina State University. And those evolved from those early days through into the 80s with the advent of object oriented everything and thus got not only windowing interfaces but also extensibility, code sharing, and as we moved into the 90s, acquisition's. BMDP was acquired by SPSS who was then acquired by IBM and the products were getting more expensive but not getting a ton of key updates for the same scientific and medical communities. And so we saw the upstarts in the 80s, Data Desk and JMP and others. Tools built for windowing operating systems and in object oriented languages. We got the ability to interactively manipulate data, zoom in and spin three dimensional representations of data, and all kinds of pretty aspects. But they were not a programmers tool. S was begun in the seventies at Bell Labs and was supposed to be a statistical MATLAB, a language specifically designed for number crunching. And the statistical techniques were far beyond where SPSS and SAS had stopped. And with the breakup of Ma Bell, parts of Bell became Lucent, which sold S to Insightful Corporation who released S-PLUS and would later get bought by TIBCO. Keep in mind, Bell was testing line quality and statistics and going back to World War II employed some of the top scientists in those fields, ones who would later create large chunks of the quality movement and implementations like Six Sigma. Once S went to a standalone software company basically, it became less about the statistics and more about porting to different computers to make more money.  Private equity and portfolio conglomerates are, by nature, after improving the multiples on a line of business. But sometimes more statisticians in various feels might feel left behind. And this is where R comes into the picture. R gained popularity among statisticians because it made it easier to write complicated statistical algorithms without learning an entire programming language. Its popularity has grown significantly since then. R has been described as a cross between MATLAB and SPSS, but much faster. R was initially designed to be a language that could handle statistical analysis and other types of data mining, an offshoot of which we now call machine learning. R is also an open-source language and as with a number of other languages has plenty of packages available through a package repository - which they call CRAN (Comprehensive R Archive Network). This allows R to be used in fields outside of statistics and data science or to just get new methods to do math that doesn't belong in the main language.  There are over 18,000 packages for R. One of the more popular is ggplot2, an open-source data visualization package. data.table is another that performs programmatic data manipulation operations. dplyr provides functions designed to enable data frame manipulation in an intuitive manner. tidyr helps create tidier data. Shiny generates interactive web apps. And there are plenty of packages to make R easier, faster, and more extensible. By 2015, more than 10 million people used R every month and it's now the 13th most popular language in use. And the needs have expanded. We can drop r scripts into other programs and tools for processing. And some of the workloads are huge. This led to the development of parallel computing, specifically using MPI (Message Passing Interface).  R programming is one of the most popular languages used for statistical analysis, statistical graphics generation, and data science projects. There are other languages or tools for specific uses but it's even started being used in those.  The latest version, R 4.1.2, was released on 21/11/01. R development, as with most thriving open source solutions, is guided by a group of core developers supported by contributions from the broader community. It became popular because it provides all essential features for data mining and graphics needed for academic research and industry applications and because of the pluggable and robust and versatile nature. And projects like tensorflow and numpy and sci-kit have evolved for other languages. And there are services from companies like Amazon that can host and process assets from both, both using unstructured databases like NoSQL or using Jupyter notebooks. A Jupyter Notebook is a JSON document, following a versioned schema that contains an ordered list of input/output cells which can contain code, text (using Markdown), formulas, algorithms, plots and even media like audio or video. Project Jupyter was a spin-off of iPython but the goal was to create a language-agnostic tool where we could execute aspects in Ruby or Haskel or Python or even R. This gives us so many ways to get our data into the notebook, in batches or deep learning environments or whatever pipeline needs to be built based on an organization's stack. Especially if the notebook has a frontend based on Amazon SageMaker Notebooks, Google's Colaboratory and Microsoft's Azure Notebook. Think about this. 25% of the languages lack a rhotic consonant. Sometimes it seems like we've got languages that do everything or that we've built products that do everything. But I bet no matter the industry or focus or sub-specialty, there's still 25% more automation or instigation into our own data to be done. Because there always will be.

On this week's episode of Fire of Genius, 2L associates Megan, Scott, David, and Alex discuss David's note which deals with the compilation of data on patent prosecution with the USPTO.

Estimation is a routine part of any UP audit conducted by a Holder's state of domicile, but it’s critical to ensure that the methods for arriving at the estimation are fair and unbiased. In order to get a better understanding of how estimations work, and what to be on the lookout for, host Kristin Mauer chatted with Tom Ross, Senior Manager and Quantitative Analyst in our Unclaimed Property group. His analytic reviews of auditors' liability assessment methods have supported corrections and refinements in those methods, resulting in material reductions of Holders' UP liability exposure, resulting in millions of dollars of savings to holders. Tom is also a super interesting and fun guy to talk to, so listen now! Associate Producer and Editor: Anthony Bielby

Today's episode is all about how crowdfunding platforms such as Kickstarter have completely changed the board game industry. Crowdfunding is a fantastic way for businesses and individuals to raise money for individual or business needs, like getting a new project off the ground and funded. Back in the day, only big companies had the money and resources to create board game products, but crowdfunding completely changed the way these types of projects were completed. Thankfully, now with the sites like Kickstarter, so many more and new products and projects are being able to get made and into the market. Today, Dan and Jim talk about how the industry has changed, and the positive and negative effects because of it. Browse the current Kickstarter Games projects: https://www.kickstarter.com/discover/categories/games The Kickstarter Blog: The Year of the Game (2012): https://bit.ly/3ylbJhp Board Game Atlas: How Kickstarter Changed Board Games: https://bit.ly/3x5FDWE Kickstarter Stats: https://www.kickstarter.com/help/stats BGG: What Was the Best Year for Board Games? A Statistical Analysis: https://bit.ly/3hidg0K Check out Wise Wizard Games: https://www.wisewizardgames.com/ Find us on FaceBook: https://www.facebook.com/hobbiesandhappiness Find us on Twitter: @_dgcampbell, @jimmorganhnh Find us on Instagram: @daniel.g.campbell, @jimmorganhnh, @hobbies.n.happiness Email us with your gaming memories at hobbiesandhappiness@gmail.com Join our Discord: https://discord.gg/pyBtxzKEaK

Take a few seconds to leave us a review. It really helps! https://apple.co/2RIsbZ2 If you do it and send us proof, we'll give you a shoutout on the show.(1:40) - Bird-like drone wings: A UMich PhD student is hoping to revolutionize current UAV wing design by copying some of nature's most capable flyers: seagulls. Gulls, unlike aircrafts, can remain stable during flight even in turbulent weather and this research might lead to adaptation of gull-inspired wings in the aircraft of tomorrow.(9:13) - Scalable Digital Twins: An MIT grad recently created a framework for deploying digital twins at scale by connecting physical and digital assets (for all sorts of applications). This technology could be utilized to create digital twins more easily without as much upfront investment.(15:05) - Detecting microplastics from space: Mircroplastic pollution is extremely harmful to the environment and yet is nearly impossible to track. Luckily, UMich researchers found a way to repurpose old NASA CYGNSS satellites for hurricane forecasting to track microplastic particles' origins and movement throughout the ocean. --About the podcast:Every day, some of the most innovative universities, companies, and individual technology developers share their knowledge on Wevolver. To ensure we can also provide this knowledge for the growing group of podcast listeners, we started a collaboration with two young engineers, Daniel Scott Mitchell & Farbod Moghaddam who discuss the most interesting content in this podcast series. To learn more about this show, please visit the shows page. By following the page, you will get automatic updates by email when a new show is published.Be sure to give us a follow and review on Apple podcasts, Spotify, and most of your favorite podcast platforms!

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Brad Miller is the best player of all time. Heine Meine. Tim will be in the Hampton's the rest of the week. Big upgrade following a weekend in Marlborough. Tim is playing with listeners at The Lemmings Open. Apple picking. Back to school. Unboxing today at noon. Breakfast cuck. Kris Cheddar met up with Iggs at Mulligans. Pearl Sinn. Hottest Fan Pin member? Somebody is knocking on the door. Clayton calls in with some numbers regarding Cards uniforms. Mizzou gets a 6PM kick for Alabama.