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In this special episode, I'm sharing the recording of a webinar I co-hosted with Cytel on March 20, 2025. I was joined by an expert panel of leaders in statistics and clinical development: Yannis Jemiai, Flaminia Chiesa, and Benjamin Piske. Together, we explored how the role of statisticians is rapidly evolving in response to industry changes, data innovations, and AI-driven transformation. This rich discussion dives into what it means to lead as a Clinical Data Scientist today—and why statisticians are uniquely positioned to influence strategy, innovation, and decision-making across the healthcare and pharmaceutical sectors.
In this episode Gudrun speaks with Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe. Since August 2024, Nadja has been professor at KIT leading the research group Methods for Big Data (MBD) there. She is an Emmy Noether Research Group Leader, and a member of AcademiaNet, and Die Junge Akademie, among others. In 2025, Nadja was awarded the Committee of Presidents of Statistical Societies (COPSS) Emerging Leader Award (ELA). The COPSS ELA recognizes early career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field. She finished her doctoral studies in Mathematics at the Universität Göttingen before conducting a postdoc at the University of Melbourne as a Feodor-Lynen fellow by the Alexander von Humboldt Foundation. Afterwards she was a Professor for Statistics and Data Science at the Humboldt-Universität zu Berlin before joining KIT. Moussa joined Nadja's lab as an associated member in 2023 and later as a postdoctoral researcher in 2024. He pursued a PhD at the TU Berlin while working as an AI Research Scientist at the Continental AI Lab in Berlin. His research primarily focuses on deep learning, developing uncertainty-based automated labeling methods for 2D object detection in autonomous driving. Prior to this, Moussa earned his M.Sc. in Mechatronics Engineering from the TU Darmstadt in 2021. The research of Nadja and Moussa is at the intersection of statistics and machine learning. In Nadja's MBD Lab the research spans theoretical analysis, method development and real-world applications. One of their key focuses is Bayesian methods, which allow to incorporate prior knowledge, quantify uncertainties, and bring insights to the “black boxes” of machine learning. By fusing the precision and reliability of Bayesian statistics with the adaptability of machine and deep learning, these methods aim to leverage the best of both worlds. The KIT offers a strong research environment, making it an ideal place to continue their work. They bring new expertise that can be leveraged in various applications and on the other hand Helmholtz offers a great platform in that respect to explore new application areas. For example Moussa decided to join the group at KIT as part of the Helmholtz Pilot Program Core-Informatics at KIT (KiKIT), which is an initiative focused on advancing fundamental research in informatics within the Helmholtz Association. Vision models typically depend on large volumes of labeled data, but collecting and labeling this data is both expensive and prone to errors. During his PhD, his research centered on data-efficient learning using uncertainty-based automated labeling techniques. That means estimating and using the uncertainty of models to select the helpful data samples to train the models to label the rest themselves. Now, within KiKIT, his work has evolved to include knowledge-based approaches in multi-task models, eg. detection and depth estimation — with the broader goal of enabling the development and deployment of reliable, accurate vision systems in real-world applications. Statistics and data science are fascinating fields, offering a wide variety of methods and applications that constantly lead to new insights. Within this domain, Bayesian methods are especially compelling, as they enable the quantification of uncertainty and the incorporation of prior knowledge. These capabilities contribute to making machine learning models more data-efficient, interpretable, and robust, which are essential qualities in safety-critical domains such as autonomous driving and personalized medicine. Nadja is also enthusiastic about the interdisciplinarity of the subject — repeatedly changing the focus from mathematics to economics to statistics to computer science. The combination of theoretical fundamentals and practical applications makes statistics an agile and important field of research in data science. From a deep learning perspective, the focus is on making models both more efficient and more reliable when dealing with large-scale data and complex dependencies. One way to do this is by reducing the need for extensive labeled data. They also work on developing self-aware models that can recognize when they're unsure and even reject their own predictions when necessary. Additionally, they explore model pruning techniques to improve computational efficiency, and specialize in Bayesian deep learning, allowing machine learning models to better handle uncertainty and complex dependencies. Beyond the methods themselves, they also contribute by publishing datasets that help push the development of next-generation, state-of-the-art models. The learning methods are applied across different domains such as object detection, depth estimation, semantic segmentation, and trajectory prediction — especially in the context of autonomous driving and agricultural applications. As deep learning technologies continue to evolve, they're also expanding into new application areas such as medical imaging. Unlike traditional deep learning, Bayesian deep learning provides uncertainty estimates alongside predictions, allowing for more principled decision-making and reducing catastrophic failures in safety-critical application. It has had a growing impact in several real-world domains where uncertainty really matters. Bayesian learning incorporates prior knowledge and updates beliefs as new data comes in, rather than relying purely on data-driven optimization. In healthcare, for example, Bayesian models help quantify uncertainty in medical diagnoses, which supports more risk-aware treatment decisions and can ultimately lead to better patient outcomes. In autonomous vehicles, Bayesian models play a key role in improving safety. By recognizing when the system is uncertain, they help capture edge cases more effectively, reduce false positives and negatives in object detection, and navigate complex, dynamic environments — like bad weather or unexpected road conditions — more reliably. In finance, Bayesian deep learning enhances both risk assessment and fraud detection by allowing the system to assess how confident it is in its predictions. That added layer of information supports more informed decision-making and helps reduce costly errors. Across all these areas, the key advantage is the ability to move beyond just accuracy and incorporate trust and reliability into AI systems. Bayesian methods are traditionally more expensive, but modern approximations (e.g., variational inference or last layer inference) make them feasible. Computational costs depend on the problem — sometimes Bayesian models require fewer data points to achieve better performance. The trade-off is between interpretability and computational efficiency, but hardware improvements are helping bridge this gap. Their research on uncertainty-based automated labeling is designed to make models not just safer and more reliable, but also more efficient. By reducing the need for extensive manual labeling, one improves the overall quality of the dataset while cutting down on human effort and potential labeling errors. Importantly, by selecting informative samples, the model learns from better data — which means it can reach higher performance with fewer training examples. This leads to faster training and better generalization without sacrificing accuracy. They also focus on developing lightweight uncertainty estimation techniques that are computationally efficient, so these benefits don't come with heavy resource demands. In short, this approach helps build models that are more robust, more adaptive to new data, and significantly more efficient to train and deploy — which is critical for real-world systems where both accuracy and speed matter. Statisticians and deep learning researchers often use distinct methodologies, vocabulary and frameworks, making communication and collaboration challenging. Unfortunately, there is a lack of Interdisciplinary education: Traditional academic programs rarely integrate both fields. It is necessary to foster joint programs, workshops, and cross-disciplinary training can help bridge this gap. From Moussa's experience coming through an industrial PhD, he has seen how many industry settings tend to prioritize short-term gains — favoring quick wins in deep learning over deeper, more fundamental improvements. To overcome this, we need to build long-term research partnerships between academia and industry — ones that allow for foundational work to evolve alongside practical applications. That kind of collaboration can drive more sustainable, impactful innovation in the long run, something we do at methods for big data. Looking ahead, one of the major directions for deep learning in the next five to ten years is the shift toward trustworthy AI. We're already seeing growing attention on making models more explainable, fair, and robust — especially as AI systems are being deployed in critical areas like healthcare, mobility, and finance. The group also expect to see more hybrid models — combining deep learning with Bayesian methods, physics-based models, or symbolic reasoning. These approaches can help bridge the gap between raw performance and interpretability, and often lead to more data-efficient solutions. Another big trend is the rise of uncertainty-aware AI. As AI moves into more high-risk, real-world applications, it becomes essential that systems understand and communicate their own confidence. This is where uncertainty modeling will play a key role — helping to make AI not just more powerful, but also more safe and reliable. The lecture "Advanced Bayesian Data Analysis" covers fundamental concepts in Bayesian statistics, including parametric and non-parametric regression, computational techniques such as MCMC and variational inference, and Bayesian priors for handling high-dimensional data. Additionally, the lecturers offer a Research Seminar on Selected Topics in Statistical Learning and Data Science. The workgroup offers a variety of Master's thesis topics at the intersection of statistics and deep learning, focusing on Bayesian modeling, uncertainty quantification, and high-dimensional methods. Current topics include predictive information criteria for Bayesian models and uncertainty quantification in deep learning. Topics span theoretical, methodological, computational and applied projects. Students interested in rigorous theoretical and applied research are encouraged to explore our available projects and contact us for further details. The general advice of Nadja and Moussa for everybody interested to enter the field is: "Develop a strong foundation in statistical and mathematical principles, rather than focusing solely on the latest trends. Gain expertise in both theory and practical applications, as real-world impact requires a balance of both. Be open to interdisciplinary collaboration. Some of the most exciting and meaningful innovations happen at the intersection of fields — whether that's statistics and deep learning, or AI and domain-specific areas like medicine or mobility. So don't be afraid to step outside your comfort zone, ask questions across disciplines, and look for ways to connect different perspectives. That's often where real breakthroughs happen. With every new challenge comes an opportunity to innovate, and that's what keeps this work exciting. We're always pushing for more robust, efficient, and trustworthy AI. And we're also growing — so if you're a motivated researcher interested in this space, we'd love to hear from you." Literature and further information Webpage of the group G. Nuti, Lluis A.J. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arxiv Jan 2019 Wikipedia: Expected value of sample information C. Howson & P. Urbach: Scientific Reasoning: The Bayesian Approach (3rd ed.). Open Court Publishing Company. ISBN 978-0-8126-9578-6, 2005. A.Gelman e.a.: Bayesian Data Analysis Third Edition. Chapman and Hall/CRC. ISBN 978-1-4398-4095-5, 2013. Yu, Angela: Introduction to Bayesian Decision Theory cogsci.ucsd.edu, 2013. Devin Soni: Introduction to Bayesian Networks, 2015. G. Nuti, L. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arXiv:1901.03214 stat.ML, 2019. M. Carlan, T. Kneib and N. Klein: Bayesian conditional transformation models, Journal of the American Statistical Association, 119(546):1360-1373, 2024. N. Klein: Distributional regression for data analysis , Annual Review of Statistics and Its Application, 11:321-346, 2024 C.Hoffmann and N.Klein: Marginally calibrated response distributions for end-to-end learning in autonomous driving, Annals of Applied Statistics, 17(2):1740-1763, 2023 Kassem Sbeyti, M., Karg, M., Wirth, C., Klein, N., & Albayrak, S. (2024, September). Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. In Uncertainty in Artificial Intelligence (pp. 1890-1900). PMLR. M. K. Sbeyti, N. Klein, A. Nowzad, F. Sivrikaya and S. Albayrak: Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection pdf. To appear in Transactions on Machine Learning Research, 2025 Podcasts Learning, Teaching, and Building in the Age of AI Ep 42 of Vanishing Gradient, Jan 2025. O. Beige, G. Thäter: Risikoentscheidungsprozesse, Gespräch im Modellansatz Podcast, Folge 193, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2019.
In this episode Gudrun speaks with Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe. Since August 2024, Nadja has been professor at KIT leading the research group Methods for Big Data (MBD) there. She is an Emmy Noether Research Group Leader, and a member of AcademiaNet, and Die Junge Akademie, among others. In 2025, Nadja was awarded the Committee of Presidents of Statistical Societies (COPSS) Emerging Leader Award (ELA). The COPSS ELA recognizes early career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field. She finished her doctoral studies in Mathematics at the Universität Göttingen before conducting a postdoc at the University of Melbourne as a Feodor-Lynen fellow by the Alexander von Humboldt Foundation. Afterwards she was a Professor for Statistics and Data Science at the Humboldt-Universität zu Berlin before joining KIT. Moussa joined Nadja's lab as an associated member in 2023 and later as a postdoctoral researcher in 2024. He pursued a PhD at the TU Berlin while working as an AI Research Scientist at the Continental AI Lab in Berlin. His research primarily focuses on deep learning, developing uncertainty-based automated labeling methods for 2D object detection in autonomous driving. Prior to this, Moussa earned his M.Sc. in Mechatronics Engineering from the TU Darmstadt in 2021. The research of Nadja and Moussa is at the intersection of statistics and machine learning. In Nadja's MBD Lab the research spans theoretical analysis, method development and real-world applications. One of their key focuses is Bayesian methods, which allow to incorporate prior knowledge, quantify uncertainties, and bring insights to the “black boxes” of machine learning. By fusing the precision and reliability of Bayesian statistics with the adaptability of machine and deep learning, these methods aim to leverage the best of both worlds. The KIT offers a strong research environment, making it an ideal place to continue their work. They bring new expertise that can be leveraged in various applications and on the other hand Helmholtz offers a great platform in that respect to explore new application areas. For example Moussa decided to join the group at KIT as part of the Helmholtz Pilot Program Core-Informatics at KIT (KiKIT), which is an initiative focused on advancing fundamental research in informatics within the Helmholtz Association. Vision models typically depend on large volumes of labeled data, but collecting and labeling this data is both expensive and prone to errors. During his PhD, his research centered on data-efficient learning using uncertainty-based automated labeling techniques. That means estimating and using the uncertainty of models to select the helpful data samples to train the models to label the rest themselves. Now, within KiKIT, his work has evolved to include knowledge-based approaches in multi-task models, eg. detection and depth estimation — with the broader goal of enabling the development and deployment of reliable, accurate vision systems in real-world applications. Statistics and data science are fascinating fields, offering a wide variety of methods and applications that constantly lead to new insights. Within this domain, Bayesian methods are especially compelling, as they enable the quantification of uncertainty and the incorporation of prior knowledge. These capabilities contribute to making machine learning models more data-efficient, interpretable, and robust, which are essential qualities in safety-critical domains such as autonomous driving and personalized medicine. Nadja is also enthusiastic about the interdisciplinarity of the subject — repeatedly changing the focus from mathematics to economics to statistics to computer science. The combination of theoretical fundamentals and practical applications makes statistics an agile and important field of research in data science. From a deep learning perspective, the focus is on making models both more efficient and more reliable when dealing with large-scale data and complex dependencies. One way to do this is by reducing the need for extensive labeled data. They also work on developing self-aware models that can recognize when they're unsure and even reject their own predictions when necessary. Additionally, they explore model pruning techniques to improve computational efficiency, and specialize in Bayesian deep learning, allowing machine learning models to better handle uncertainty and complex dependencies. Beyond the methods themselves, they also contribute by publishing datasets that help push the development of next-generation, state-of-the-art models. The learning methods are applied across different domains such as object detection, depth estimation, semantic segmentation, and trajectory prediction — especially in the context of autonomous driving and agricultural applications. As deep learning technologies continue to evolve, they're also expanding into new application areas such as medical imaging. Unlike traditional deep learning, Bayesian deep learning provides uncertainty estimates alongside predictions, allowing for more principled decision-making and reducing catastrophic failures in safety-critical application. It has had a growing impact in several real-world domains where uncertainty really matters. Bayesian learning incorporates prior knowledge and updates beliefs as new data comes in, rather than relying purely on data-driven optimization. In healthcare, for example, Bayesian models help quantify uncertainty in medical diagnoses, which supports more risk-aware treatment decisions and can ultimately lead to better patient outcomes. In autonomous vehicles, Bayesian models play a key role in improving safety. By recognizing when the system is uncertain, they help capture edge cases more effectively, reduce false positives and negatives in object detection, and navigate complex, dynamic environments — like bad weather or unexpected road conditions — more reliably. In finance, Bayesian deep learning enhances both risk assessment and fraud detection by allowing the system to assess how confident it is in its predictions. That added layer of information supports more informed decision-making and helps reduce costly errors. Across all these areas, the key advantage is the ability to move beyond just accuracy and incorporate trust and reliability into AI systems. Bayesian methods are traditionally more expensive, but modern approximations (e.g., variational inference or last layer inference) make them feasible. Computational costs depend on the problem — sometimes Bayesian models require fewer data points to achieve better performance. The trade-off is between interpretability and computational efficiency, but hardware improvements are helping bridge this gap. Their research on uncertainty-based automated labeling is designed to make models not just safer and more reliable, but also more efficient. By reducing the need for extensive manual labeling, one improves the overall quality of the dataset while cutting down on human effort and potential labeling errors. Importantly, by selecting informative samples, the model learns from better data — which means it can reach higher performance with fewer training examples. This leads to faster training and better generalization without sacrificing accuracy. They also focus on developing lightweight uncertainty estimation techniques that are computationally efficient, so these benefits don't come with heavy resource demands. In short, this approach helps build models that are more robust, more adaptive to new data, and significantly more efficient to train and deploy — which is critical for real-world systems where both accuracy and speed matter. Statisticians and deep learning researchers often use distinct methodologies, vocabulary and frameworks, making communication and collaboration challenging. Unfortunately, there is a lack of Interdisciplinary education: Traditional academic programs rarely integrate both fields. It is necessary to foster joint programs, workshops, and cross-disciplinary training can help bridge this gap. From Moussa's experience coming through an industrial PhD, he has seen how many industry settings tend to prioritize short-term gains — favoring quick wins in deep learning over deeper, more fundamental improvements. To overcome this, we need to build long-term research partnerships between academia and industry — ones that allow for foundational work to evolve alongside practical applications. That kind of collaboration can drive more sustainable, impactful innovation in the long run, something we do at methods for big data. Looking ahead, one of the major directions for deep learning in the next five to ten years is the shift toward trustworthy AI. We're already seeing growing attention on making models more explainable, fair, and robust — especially as AI systems are being deployed in critical areas like healthcare, mobility, and finance. The group also expect to see more hybrid models — combining deep learning with Bayesian methods, physics-based models, or symbolic reasoning. These approaches can help bridge the gap between raw performance and interpretability, and often lead to more data-efficient solutions. Another big trend is the rise of uncertainty-aware AI. As AI moves into more high-risk, real-world applications, it becomes essential that systems understand and communicate their own confidence. This is where uncertainty modeling will play a key role — helping to make AI not just more powerful, but also more safe and reliable. The lecture "Advanced Bayesian Data Analysis" covers fundamental concepts in Bayesian statistics, including parametric and non-parametric regression, computational techniques such as MCMC and variational inference, and Bayesian priors for handling high-dimensional data. Additionally, the lecturers offer a Research Seminar on Selected Topics in Statistical Learning and Data Science. The workgroup offers a variety of Master's thesis topics at the intersection of statistics and deep learning, focusing on Bayesian modeling, uncertainty quantification, and high-dimensional methods. Current topics include predictive information criteria for Bayesian models and uncertainty quantification in deep learning. Topics span theoretical, methodological, computational and applied projects. Students interested in rigorous theoretical and applied research are encouraged to explore our available projects and contact us for further details. The general advice of Nadja and Moussa for everybody interested to enter the field is: "Develop a strong foundation in statistical and mathematical principles, rather than focusing solely on the latest trends. Gain expertise in both theory and practical applications, as real-world impact requires a balance of both. Be open to interdisciplinary collaboration. Some of the most exciting and meaningful innovations happen at the intersection of fields — whether that's statistics and deep learning, or AI and domain-specific areas like medicine or mobility. So don't be afraid to step outside your comfort zone, ask questions across disciplines, and look for ways to connect different perspectives. That's often where real breakthroughs happen. With every new challenge comes an opportunity to innovate, and that's what keeps this work exciting. We're always pushing for more robust, efficient, and trustworthy AI. And we're also growing — so if you're a motivated researcher interested in this space, we'd love to hear from you." Literature and further information Webpage of the group G. Nuti, Lluis A.J. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arxiv Jan 2019 Wikipedia: Expected value of sample information C. Howson & P. Urbach: Scientific Reasoning: The Bayesian Approach (3rd ed.). Open Court Publishing Company. ISBN 978-0-8126-9578-6, 2005. A.Gelman e.a.: Bayesian Data Analysis Third Edition. Chapman and Hall/CRC. ISBN 978-1-4398-4095-5, 2013. Yu, Angela: Introduction to Bayesian Decision Theory cogsci.ucsd.edu, 2013. Devin Soni: Introduction to Bayesian Networks, 2015. G. Nuti, L. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arXiv:1901.03214 stat.ML, 2019. M. Carlan, T. Kneib and N. Klein: Bayesian conditional transformation models, Journal of the American Statistical Association, 119(546):1360-1373, 2024. N. Klein: Distributional regression for data analysis , Annual Review of Statistics and Its Application, 11:321-346, 2024 C.Hoffmann and N.Klein: Marginally calibrated response distributions for end-to-end learning in autonomous driving, Annals of Applied Statistics, 17(2):1740-1763, 2023 Kassem Sbeyti, M., Karg, M., Wirth, C., Klein, N., & Albayrak, S. (2024, September). Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. In Uncertainty in Artificial Intelligence (pp. 1890-1900). PMLR. M. K. Sbeyti, N. Klein, A. Nowzad, F. Sivrikaya and S. Albayrak: Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection pdf. To appear in Transactions on Machine Learning Research, 2025 Podcasts Learning, Teaching, and Building in the Age of AI Ep 42 of Vanishing Gradient, Jan 2025. O. Beige, G. Thäter: Risikoentscheidungsprozesse, Gespräch im Modellansatz Podcast, Folge 193, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2019.
Lou Stagner is a statistician, coach, and one of the most influential voices in the golf industry. He joins The Mental Golf Show. Topics and Timestamps: 00:00 Emotional Control in Golf 05:07 Statistics and Anger 10:23 How much should we be thinking about stats? 12:56 The Importance of Data Tracking 14:49 Playing with Confidence vs. Emotion 19:15 Stat Tracking Apps 22:39 Does Lou practice what he preaches? 39:48 What to do when you don't know where the ball is going 41:31 How does Lou manage his own anger on the course? 46:20 Lou's Pre-shot Strategy Routine 48:25 What should our stat benchmark be? 55:33 Structuring Practice with Swing Changes 58:09 Does playing shorter tees help or hurt your handicap? 1:00:13 How can Mike & Eli of Chasing Scratch get to scratch? 1:04:25 Does Statistics Actually Help You Improve? 1:06:19 Lou's Role as Statistician at Princeton Golf 1:09:45 Lou Stagner ----- Lou's newsletter: Lou Stagner Golf Lou on X Lou on Instagram -----
As any Statistician on a juicy consulting wage from the NRL will tell you, records are made to be invented, and it's with this gusto that our heroes grapple with yet another glorious 'crowd record' declaration issued from Pyongyang. That, alongside the scheduling of a double header to take on the British and Irish Lions tour opener, assures us all the leadership coming from HQ remains- as ever- supreme.The game is feeling a bit 1998 at the moment, with unlimited tackles AND the reinstated presence of the Bears. A reverent look at Bears past unfolds, as our grizzled heroes pontificate their wisdom, while subtly referencing Wikipedia articles.Expansion is on the mind and in the gullet, from PNG to Perth, and next (we're pretty sure) the announcement of a team for the league loving province of Daugavpils in Latvia.Forward passes, high tackles, sin bins and tipping shit shows. Some harsh but fair calls on QLD Origin selections, while Johnny invites fellow male model James O'Connor back into the Wallaby fold- only to be met by a wall of disinterest from Joel, who is pretty sure no one would really bat an eyelid if he became an All Black. Our heroes also briefly mention a few Super rugby scores, amid wide eyed realisations they probably need to watch the games before talking about them. And so, we leave you with an ode to the game:As the whistle blows, and blows and blows and blowsThe spectacle known as rugby league gets more on the nose nose noseBut lets not stop PVL and co from making it grow grow growFrom Perth to Port Moresby...soon we'll have more teams than players to put on a show show show
You haven't heard from anyone like Professor Sir Peter Donnelly before. He is a statistician, professor, a knight of the realm and an entrepreneur. Not only has he given a Ted Talk about statistics that has been viewed more than 1.5 million times, but he is now working on genetics tests that could save lives and change the world by helping people understand how predisposed they are to becoming obese or getting certain illnesses. Donnelly left his career in academia to become the co-founder and chief executive of Genomics, which is developing these genetic tests and is one of the fastest-growing businesses in the UK. But this may only be the start of its story... Hosted on Acast. See acast.com/privacy for more information.
As someone who found my way into statistics late—only halfway through university—I often wonder: what if more young people knew about this path earlier? In this episode, I sit down with two wonderful guests and PSI volunteers, Emma Crawford and Alex Spiers, to explore exactly that: how we, as statisticians and scientists, can inspire the next generation. We talk about the why behind investing in STEM outreach, share personal stories, and get into the practical steps you can take—whether you want to volunteer at a school, present virtually, or simply start a conversation with a student.
Send us a textDid you know that statisticians are the secret heroes behind your Netflix recommendations, the cool Instagram filters you love, and even predicting which cricket team might win the World Cup? That's right! These number ninjas are basically the fortune tellers of the digital age, but with actual science backing them up!Connect With Kapeel Guptaor Click on the link: http://bit.ly/4jlql8sWhat You May Learn0:00 Introduction1:48 Mission Statement2:06 Scope in India & Abroad5:04 Nature of Work7:20 Skills & Educational qualifications required11:14 Salary in India and around the world13:26 Conclusion15:00 Call to actionSupport the show
John McGready discusses how to prepare future statisticians to succeed in the era of AI.
In this episode, I'm sharing three personal stories where soft skills—or better yet, human skills—made a huge difference in my work as a statistician. Whether it was building trust to access critical data, presenting results in a way that truly resonated, or negotiating a fair contract, these experiences reminded me how essential these skills are alongside our technical expertise.
Clement Manyathela speaks with Risenga Maluleke, the Statistician-General of South Africa and Head of Statistics South Africa, about the ongoing crisis of crime in the country. Maluleke clarifies that crime in South Africa can be divided into two categories: reported crime, which is recorded in SAPS (South African Police Service) administrative records, and unreported crime – those incidents that are experienced but never reported to the police. He highlights some of the most frequently reported crimes in South Africa, including: Murders Sexual offences, with around 84% of these incidents reported Housebreaking (when the victim is not home) and home robberies "Housebreaking remains the highest crime in South Africa," Maluleke says. He further explains that a key indicator of a community's safety is whether people feel comfortable walking freely at night, confident in their security. Unfortunately, he notes, this is not the reality in South Africa, particularly for women. Maluleke also points out that many South Africans tend to trust the police more than the judicial system. He explains that, in the court of law, the process begins with the defendant pleading, followed by the trial. In contrast, in a traditional setting, the individual is first tried, and only then is the plea made. Thank you for listening to The Clement Manyathela podcast. Listen live - The Clement Manyathela is broadcast on weekdays from 09:00 am to noon on 702. See omnystudio.com/listener for privacy information.
President Trump recently cited from the oval office statistics about the state of the U.S. education system. What he didn't say is that we know about student achievement levels thanks to data gathered by the Education Department itself. One of the government's most vital activities is the gathering of reliable statistics to guide policy. My next guest says the quality of national statistics has become a concern. Consultant Nancy Potok is the former chief statistician of the United States, and she joins me now. Learn more about your ad choices. Visit podcastchoices.com/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
President Trump recently cited from the oval office statistics about the state of the U.S. education system. What he didn't say is that we know about student achievement levels thanks to data gathered by the Education Department itself. One of the government's most vital activities is the gathering of reliable statistics to guide policy. My next guest says the quality of national statistics has become a concern. Consultant Nancy Potok is the former chief statistician of the United States, and she joins me now. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Blue ballers, we're back and we're keeping it a buck reviewing our 3-goal, 2-1 victory over the Revs at Yankee Stadium. Jake & Trey talk the perennially underrated Keaton Parks, Martinez' most recent clinical finish in front of goal, the dawn (?) of Julian, and much more. Plus: vibe checks in the guts of Yankee Stadium, Outfield reports on a different big bird headed to NYCFC, and the eerie quiet of a drumless supporter's section. Then: a quick n' dirty precap of a Crew that's looking primed for a rebuild season — but call us Sluggo because no matter what, Nancy still poses a threat. Strap on your safety goggles — you've got Blue Balls.
We welcome William M. Briggs, known as Statistician to the Stars, to talk about feminism in the workplace and academia, as well as what the data can really show us. He explores the victim mindset and how we have built institutions around perceived oppression. Show Notes US Atty Ed Martin Tells Georgetown Law the DOJ will reject any applicant for a fellowship or internship program from a school with DEI programs | The Post Millennial “Feminism Is A Disease Of The Rich” – William M. Briggs Jobs for the Girls (PDF) Letter to Women (June 29, 1995) | John Paul II St. John Paul II's ‘Letter to Women' at 25: ‘Feminine Genius' Affirmed| National Catholic Register Everything You Believe Is Wrong by William M Briggs The Church and the Culture War by Joyce A. Little Ungodly Rage: The Hidden Face of Catholic Feminism by Donna Steichen iCatholic Mobile The Station of the Cross Merchandise - Use Coupon Code 14STATIONS for 10% off | Catholic to the Max Read Fr. McTeigue's Written Works! "Let's Take A Closer Look" with Fr. Robert McTeigue, S.J. | Full Series Playlist Listen to Fr. McTeigue's Preaching! | Herald of the Gospel Sermons Podcast on Spotify Visit Fr. McTeigue's Website | Herald of the Gospel Questions? Comments? Feedback? Ask Father!
In this episode of The Effective Statistician, I dive into a crucial skill—building influence within a clinical trial team. As statisticians, we often need to negotiate timelines, advocate for better analysis methods, and ensure clear communication across teams. The stronger our influence, the more impact we can have on study outcomes and, ultimately, patients. I break down the key pillars of trust—care, character, and competence—and share practical strategies to help you collaborate effectively, align team priorities, and proactively tackle challenges. Tune in and start building your influence today!
Bob Kurland's Slide LinksIn all protein functions, parts of the proteins bind loosely to other parts of the protein and thus form appropriate structures that are essential to their function. This is shown very nicely in this TED YouTube video, by Professor Ken Dill https://www.youtube.com/watch?v=zm-3kovWpNQ Here is another nice YouTube video showing protein flexibility https://www.youtube.com/watch?v=yZ2aY5lxEGE Webinar TitleThe Anthropic Principle: “Are We Special?”--Did God make our “Goldilocks Universe” for man?Abstract The universe in which we live and came to be is not ordinary, but unusual. As the Church Lady in Saturday Night Live of old would say, “Now, isn't that special!” Or is it? Some scientists would agree with Roger Penrose – that if it weren't special, we wouldn't be here to remark on it. Many other scientists and philosophers would agree with Thomas Nagel that an explanation giving only the result is not an explanation. (And, of course, if it is special, then there is the implicit conclusion that this is so because of a Creating Intelligence, which we Catholics recognize as the Trinitarian God.) In my presentation I will discuss some of the so-called “anthropic coincidences” necessary for carbon-based life. Although some examples from cosmology and particle physics will be included, I'm going to focus on the wonderful parts of chemistry and molecular biology, processes that point to the hand of a Creating Intelligence. And of course the prophets of the Old Testament and saints of the early Church knew this all along, without the benefit of science. Dr. Robert Kurland, a convert to Catholicism in 1995, is a retired physicist who has applied magnetic resonance to problems of biological interest in his research (web search: “Kurland-McGarvey Equation”). Dr. Kurland is a graduate of Caltech (BS, 1951, “with honor”) and Harvard (PhD, 1956). His scientific career at Carnegie-Mellon, SUNY/AB, Cleveland Clinic, Geisinger Medical Center, has focused on biological applications of magnetic resonance, including MRI. Since his conversion to Catholicism, he has tried to spread the message that there's no war between Catholic teaching and science.Respondent: William M. Briggs, PhD Against the Anthropic Principle Dr. William M. Briggs, the Statistician to the Stars, has a background in statistics, philosophy, meteorology, and cryptography. Born in Detroit, he left the city when it was at its peak, which some might jokingly suggest led to its decline. Briggs holds a PhD in Mathematical Sciences and an MS in Atmospheric Physics, and has served in various roles including professor, consultant, and statistician. He is known for his work in probability and statistics, as well as his cultural commentary on various social and scientific issues.
Nate Silver (On the Edge, The Signal and the Noise, Baseball Between the Numbers) is a statistician, author, and founder of FiveThirtyEight. Nate joins the Armchair Expert to discuss his youthful aspirations for a starter job as US president with a promotion to baseball commissioner, how code-switching as a gay man of his cohort can translate to success, and defying the odds by quitting his first job to play online poker. Nate and Dax talk about learning statistical models as a hobbyist because academics don't have the street smarts, the phenomenon of sore winners in tech, and the adage that the more shabbily you show up for your first meeting the more trustworthy you are. Nate explains that the dopamine felt especially by men during a winning streak is effectively a narcotic, how figures like Sam Bankman-Fried are kind of degenerate gamblers at heart, and why the new alpha move in industry is just to trust your gut.Follow Armchair Expert on the Wondery App or wherever you get your podcasts. Watch new content on YouTube or listen to Armchair Expert early and ad-free by joining Wondery+ in the Wondery App, Apple Podcasts, or Spotify. Start your free trial by visiting wondery.com/links/armchair-expert-with-dax-shepard/ now.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Clement Manyathela speaks to Risenga Maluleke, the Statistician-General and Head of Statistics South Africa (Stats SA) about the institution’s responsibility in collecting, analyzing, and disseminating official statistics to inform policy direction.See omnystudio.com/listener for privacy information.
Welcome to another episode of The Effective Statistician podcast! Today, I tackle the essential skill of negotiation—a tool we statisticians use every day, often without realizing it. We negotiate when we push for better study designs, adjust project timelines, or secure resources like training and conference budgets. Beyond work, we negotiate in our personal lives with family, friends, or vendors. In this episode, I share proven strategies to prepare for negotiations, uncover interests behind positions, and confidently advocate for yourself and your work. Mastering these skills empowers you to drive success and create a bigger impact as a statistician. Let's jump in!
By River Mitchell | Since graduating college and becoming a statistician, Marcellus Bowie has dreamed about being the statistician for the Hoophall Classic. Now, he's living out his dream for the fourth year in a row and using his platform from his business, Legit Stats, to help the younger generation find jobs and jumpstart their career.
Welcome to a brand-new year and an exciting new episode of The Effective Statistician! I'm thrilled to kick off 2025 by sharing some incredible news—I've written a book! After years of planning, false starts, and a lot of learning along the way, How to Be an Effective Statistician is finally complete and will officially launch on January 15th. In this episode, I take you behind the scenes of how the book came to life. I'll share why I wrote it, how it's structured, and the practical insights it offers for statisticians, data scientists, and other quantitative professionals. Whether you're looking to improve communication, manage challenges, or simply be more effective in your role, this book was designed with you in mind. I'll also give you all the details about the book launch party, where we'll celebrate, learn, and connect. Join me as I reflect on this journey and what it means for our community!
Stephen Grootes speaks to Pali Lehohla, former statistician-general of South Africa, to reflect on his career and share personal anecdotes about his relationship with money along the way.See omnystudio.com/listener for privacy information.
This is a preview of The Huddle Breakdown Interview available at www.huddlebreakdown.comWe are thrilled to welcome Sir David Spiegelhalter to The Huddle Breakdown in the second installment of ‘The Huddle Breakdown Interview'. He talks to Alan and James in a wide ranging conversation including the role of luck in football.Professor Sir David Spiegelhalter FRS OBE is the closest thing the world of statistics has to a national treasure. His new book, The Art of Uncertainty: Living with Chance, Ignorance, Risk and Luck is an engaging and informative guide to living with uncertainty in a world that makes it inevitable. He is Chair of the Winton Centre for Risk and Evidence Communication in the Centre for Mathematical Sciences at the University of Cambridge. His bestselling book, The Art of Statistics, has been published in 11 languages. His current roles are as Non-Executive Director, UK Statistics Authority; Mathematical Futures expert board of the Royal Society; Member of the Statistics Expert Group for the Infected Blood Inquiry, 2019 – 2024; and Advisor; NHS Maternity and Neonatal Outcomes Group. Hosted on Acast. See acast.com/privacy for more information.
This piece was recorded at the The 7th Collaborative Clinical Trials in Anaesthesiology Conference, Prato, Italy. The discussion centers around the roles and contributions of bio statisticians in clinical trials. Presented by Kate Leslie and Andy Cumpstey with their guests, Jessica Kasza, Professor of Biostatistics, Data Analytics/Modelling and Health Economics at Monash University and Elizabeth Ryan, Research Fellow at Monash University.
(00:00-19:59) The guys reiterate what a win will do for them on Sunday. Then, John has some more stats for the game. (19:59-31:49) Another person is harassing Jason Kelce. (31:49-39:21) John has some more interesting stats. Then, more texts.
Gabe of Libre Solutions Network and Mathew Crawford discuss all things bitcoin and how it seems the plan was to have Trump installed and push crypto. They comment on the role of the U.S. military, influencers, BlackRock, the potential future role of bitcoin erasing U.S. debt and functioning as a banking currency, digital gold, tulip mania, viewing the technology as neutral, bitcoin's future price, and more! Watch on BitChute / Brighteon / Rokfin / Rumble / Substack Geopolitics & Empire · Gabe (LSN) & Mathew Crawford: Bitcoin's Rise & It's Future Role...Tulip Mania or Digital Gold? #491 *Support Geopolitics & Empire! Donate https://geopoliticsandempire.com/donations Consult https://geopoliticsandempire.com/consultation Become a Member https://geopoliticsandempire.substack.com Become a Sponsor https://geopoliticsandempire.com/sponsors **Visit Our Affiliates & Sponsors! Above Phone https://abovephone.com/?above=geopolitics easyDNS (use code GEOPOLITICS for 15% off!) https://easydns.com Escape The Technocracy course (15% discount using link) https://escapethetechnocracy.com/geopolitics LegalShield https://hhrvojemoric.wearelegalshield.com Sociatates Civis (CitizenHR, CitizenIT, CitizenPL) https://societates-civis.com Wise Wolf Gold https://www.wolfpack.gold/?ref=geopolitics Gabe (Libre Solutions) Websites Libre Solutions Network https://libresolutions.network Libre Solutions Substack https://libresolutionsnetwork.substack.com About Gabe (Libre Solutions) Gabe is working to share and teach the tools and tactics needed to oppose digital tyranny by encouraging others to start their journey in building up their own digital autonomy. Mathew Crawford Websites Substack https://roundingtheearth.substack.com X https://x.com/EduEngineer About Mathew Crawford Mathew Crawford is an Educator, Entrepreneur, Statistician, Finance Specialist, and Founder of Rounding the Earth. *Podcast intro music is from the song "The Queens Jig" by "Musicke & Mirth" from their album "Music for Two Lyra Viols": http://musicke-mirth.de/en/recordings.html (available on iTunes or Amazon)
Gabe of Libre Solutions Network and Mathew Crawford discuss all things bitcoin and how it seems the plan was to have Trump installed and push crypto. They comment on the role of the U.S. military, influencers, BlackRock, the potential future role of bitcoin erasing U.S. debt and functioning as a banking currency, digital gold, tulip mania, viewing the technology as neutral, bitcoin's future price, and more! Watch on BitChute / Brighteon / Rokfin / Rumble / Substack Geopolitics & Empire · Gabe (LSN) & Mathew Crawford: Bitcoin's Rise & It's Future Role...Tulip Mania or Digital Gold? #491 *Support Geopolitics & Empire! Donate https://geopoliticsandempire.com/donations Consult https://geopoliticsandempire.com/consultation Become a Member https://geopoliticsandempire.substack.com Become a Sponsor https://geopoliticsandempire.com/sponsors **Visit Our Affiliates & Sponsors! Above Phone https://abovephone.com/?above=geopolitics easyDNS (use code GEOPOLITICS for 15% off!) https://easydns.com Escape The Technocracy course (15% discount using link) https://escapethetechnocracy.com/geopolitics LegalShield https://hhrvojemoric.wearelegalshield.com Sociatates Civis (CitizenHR, CitizenIT, CitizenPL) https://societates-civis.com Wise Wolf Gold https://www.wolfpack.gold/?ref=geopolitics Gabe (Libre Solutions) Websites Libre Solutions Network https://libresolutions.network Libre Solutions Substack https://libresolutionsnetwork.substack.com About Gabe (Libre Solutions) Gabe is working to share and teach the tools and tactics needed to oppose digital tyranny by encouraging others to start their journey in building up their own digital autonomy. Mathew Crawford Websites Substack https://roundingtheearth.substack.com X https://x.com/EduEngineer About Mathew Crawford Mathew Crawford is an Educator, Entrepreneur, Statistician, Finance Specialist, and Founder of Rounding the Earth. *Podcast intro music is from the song "The Queens Jig" by "Musicke & Mirth" from their album "Music for Two Lyra Viols": http://musicke-mirth.de/en/recordings.html (available on iTunes or Amazon)
It is World Championship season again! The FIDE World championship takes place from November 25 to December 13, in Singapore. As you probably know, GM Ding Liren will be defending his title against 18 year old wunderkind, GM Gukesh D. This is a unique matchup which features a fast-rising top 5 challenger, and a slumping World Champion who has fallen out of the top 20. Joining me to discuss it are three separate guests in the following order: Top trainer, author, and Ding Liren biographer, GM Davorin Kuljasevic shares his match thoughts. How does Ding's recent play differ from that of “peak Ding?” Author of From Boy to Man to Challenger: The Fiercest Battles of Gukesh D , IM Cyrus Lakdawala on why he thinks Gukesh has a chance to be an all-time great. Statistician, and co-founder of Chessgoals.com, NM Matt Jensen on the betting markets, the likelihood of a tiebreak, and one key statistical factor that favors Gukesh. Chatting about the World Championship always gets me excited for the match, and this year is no exception. Timestamps for guests and topics discussed is below. Thanks to our sponsors, Chessable.com. If you sign up for Chessable Pro, please use the following link to help support Perpetual Chess: https://www.chessable.com/pro/?utm_source=affiliate&utm_medium=benjohnson&utm_campaign=pro 0:00- Intro- Intro and Match facts 0:06- GM Davorin Kuljasevic joins to discuss GM Ding Liren, as well as his general thoughts on the match. 0:12- What openings might we expect? Which seconds might he be working with? Mentioned: GM Eugene Perelshteyn's Tweet: https://x.com/EugenePerel/status/1850321592678555941 World Championship bettings odds here: https://sports.bwin.com/en/sports/events/fide-world-championship-2024-15724987 23:00- Thanks to GM Kuljasevic for joining me, you can get his book on GM Ding Liren here 25:00- IM Cyrus Lakdawala joins to discuss GM D Gukesh Mentioned: From Boy to Man to Challenger: The Fiercest Battles of Gukesh D 35:00- Cyrus' match predictions 39:00- Gukesh opening predictions 49:00- Cyrus' upcoming projects 51:00- Statistician and NM Matt Jensen of Chessgoals.com joins to give a statistical preview to the match. 58:00- What is the expected draw rate for this match? What are the odds of a tiebreak? 1:08:00- What is new with Matt's website Chessgoals? Check out the Chcessgoals ourses here, Use the code Ben2024 to save 30%: https://courses.chessgoals.com/collections/ Check out their podcast “No Pawn Intended” on the Chessgoals YouTube Channel: https://www.youtube.com/@ChessGoals If you would like to help support Perpetual Chess via Patreon, you can do so here: https://www.patreon.com/c/perpetualchess Learn more about your ad choices. Visit podcastchoices.com/adchoices
Statistician says there's NOT A CHANCE that polls are as close as they sayRemember, remember 5th of Nov — treason & plots from BOTH sidesWhat I Saw at STOP THE STEAL 4 Years AgoElection Aftermath — Will Usual Suspects Start J6 Part DeuxVote if you wish, but don't DEVOTE yourself to party or candidate; WHAT is right, NOT WHO is rightThe 1916 Project - interview with author & filmmaker Seth Gruber The1916Project.comWill AI synthesize a New World Religion? Bill Gates says we need it. People from every religion are already training AIPrepping is huge — here's what people are doingIf you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Money should have intrinsic value AND transactional privacy: Go to DavidKnight.gold for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to TrendsJournal.com and enter the code KNIGHTBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.
Statistician says there's NOT A CHANCE that polls are as close as they sayRemember, remember 5th of Nov — treason & plots from BOTH sidesWhat I Saw at STOP THE STEAL 4 Years AgoElection Aftermath — Will Usual Suspects Start J6 Part DeuxVote if you wish, but don't DEVOTE yourself to party or candidate; WHAT is right, NOT WHO is rightThe 1916 Project - interview with author & filmmaker Seth Gruber The1916Project.comWill AI synthesize a New World Religion? Bill Gates says we need it. People from every religion are already training AIPrepping is huge — here's what people are doingIf you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Money should have intrinsic value AND transactional privacy: Go to DavidKnight.gold for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to TrendsJournal.com and enter the code KNIGHTBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.
49ers Forecast Show Hour with Larry Krueger on the Keys to Sunday's showdown with the Chiefs, Interview with the Statistician for the 49ers Radio broadcasts, Chris Babcock and much moreSee omnystudio.com/listener for privacy information.
Mon, 14 Oct 2024 17:00:00 +0000 https://podcastae8fac.podigee.io/398-new-episode 7eaf7017150b6c5ec6d5b2a4dad2a7c1 398 full Interview with Swarna Khare no Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry
Statistician, Professor Sir David Spiegelhalter turns the pages of his book, The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck, out now. Join Chris, Vassos and the team every morning from 6.30am for laughs with the listeners and the greatest guests. Listen on your smart speaker, just say: "Play Virgin Radio." Hosted on Acast. See acast.com/privacy for more information.
Mathew Crawford discusses psychological mindwar and the British Empire's long-game at controlling the world. India, cults, and theosophy play important roles in London's global machinations. The networked international hierarchy of the globalists is compartmentalized and at times can seem contradictory as well as have real rivalries. He's looked at Kamala Harris' deep history and uncovered some remarkable connections. Their method of warfare can also be classified as induced schizophrenia and the culture of altered states they push should be considered as minor forms of schizophrenia. Watch on BitChute / Brighteon / Rokfin / Rumble / Substack Geopolitics & Empire · Mathew Crawford: Mindwar, British Empire, & Kamala Harris as Manchurian Candidate #465 *Support Geopolitics & Empire! Donate https://geopoliticsandempire.com/donations Consult https://geopoliticsandempire.com/consultation Become a Member https://geopoliticsandempire.substack.com Become a Sponsor https://geopoliticsandempire.com/sponsors **Visit Our Affiliates & Sponsors! Above Phone https://abovephone.com/?above=geopolitics easyDNS (use promo code GEOPOLITICS for 15% off!) https://easydns.com Expat Money Summit 2024 (use promo code EMPIRE for $100 off the VIP ticket!) https://2024.expatmoneysummit.com/?ac=8cDxEbJw LegalShield https://hhrvojemoric.wearelegalshield.com Wise Wolf Gold https://www.wolfpack.gold/?ref=geopolitics Websites Substack https://roundingtheearth.substack.com X https://x.com/EduEngineer Might Kamala Harris be a Manchurian Candidate? https://roundingtheearth.substack.com/p/might-kamala-harris-be-a-manchurian About Mathew Crawford Mathew Crawford is an Educator, Entrepreneur, Statistician, Finance Specialist, and Founder of Rounding the Earth. *Podcast intro music is from the song "The Queens Jig" by "Musicke & Mirth" from their album "Music for Two Lyra Viols": http://musicke-mirth.de/en/recordings.html (available on iTunes or Amazon)
Mathew Crawford discusses psychological mindwar and the British Empire's long-game at controlling the world. India, cults, and theosophy play important roles in London's global machinations. The networked international hierarchy of the globalists is compartmentalized and at times can seem contradictory as well as have real rivalries. He's looked at Kamala Harris' deep history and uncovered some remarkable connections. Their method of warfare can also be classified as induced schizophrenia and the culture of altered states they push should be considered as minor forms of schizophrenia. Watch on BitChute / Brighteon / Rokfin / Rumble / Substack Geopolitics & Empire · Mathew Crawford: Mindwar, British Empire, & Kamala Harris as Manchurian Candidate #465 *Support Geopolitics & Empire! Donate https://geopoliticsandempire.com/donations Consult https://geopoliticsandempire.com/consultation Become a Member https://geopoliticsandempire.substack.com Become a Sponsor https://geopoliticsandempire.com/sponsors **Visit Our Affiliates & Sponsors! Above Phone https://abovephone.com/?above=geopolitics easyDNS (use promo code GEOPOLITICS for 15% off!) https://easydns.com Expat Money Summit 2024 (use promo code EMPIRE for $100 off the VIP ticket!) https://2024.expatmoneysummit.com/?ac=8cDxEbJw LegalShield https://hhrvojemoric.wearelegalshield.com Wise Wolf Gold https://www.wolfpack.gold/?ref=geopolitics Websites Substack https://roundingtheearth.substack.com X https://x.com/EduEngineer Might Kamala Harris be a Manchurian Candidate? https://roundingtheearth.substack.com/p/might-kamala-harris-be-a-manchurian About Mathew Crawford Mathew Crawford is an Educator, Entrepreneur, Statistician, Finance Specialist, and Founder of Rounding the Earth. *Podcast intro music is from the song "The Queens Jig" by "Musicke & Mirth" from their album "Music for Two Lyra Viols": http://musicke-mirth.de/en/recordings.html (available on iTunes or Amazon)
In this episode, I dive into some key questions: How does luck influence our careers? How do we stay humble while continually learning and growing? What can we learn from someone who has shaped the field of statistics for decades? I'm thrilled to explore these topics with one of the most influential statisticians, Stephen Senn. Stephen shares his journey, revealing the pivotal decisions that guided his career and the insights he gained along the way. Join me as we uncover the lessons that can inspire and guide statisticians at every stage of their careers.
On this episode of Good Nurse Bad Nurse, Tina explores the shocking case of Lucia de Berk, a nurse who was wrongfully convicted of multiple murders. We are able to see how confirmation bias plays a huge role in her conviction, demonstrating the dangers of making assumptions without questioning them. For our "Good Nurse" segment, Tina gives numerous examples of when statistics were used for good, and how they impacted our society in a positive way! Join us on Patreon to get ad-free episodes, early access, and more exclusive content! Please support our show by supporting our sponsors below! Thanks to our sponsor Advantis Medical! Visit their website at https://www.advantismed.com/?utm_source=goodnursebadnurse&utm_medium=podcast&utm_campaign=spot1 to learn more about their travel nurse agency and why they're ranked #1 by nurses! Thank you to our sponsor Eko! Please visit them at https://ekohealth.com and use promo code GNBN for $50 off your purchase of the new Littmann Cardiology IV stethoscope with Eko
Have you ever questioned how biostatistics and IT intersect, or why managing this relationship can feel so challenging? In this episode, I sit down with Pablo Joerger, a statistician who transitioned into programming after over 40 years in the pharmaceutical industry. We explore how the shift from mainframes to cloud computing has revolutionized our field and examine the pivotal role IT plays in supporting modern statistical analyses. If you're looking to better understand or improve your work at the intersection of biostatistics and IT, this episode offers practical insights and valuable takeaways.
Comedian Gary Vider joins the show to discuss his podcast “#1 Dad” and his con-man father who inspired it. They also talk about how he got his start in stand-up and the comedians who helped him along in his early days. Next, Leah Knauer returns to read the news including stories about JLo filing for divorce from Ben Affleck, a colonoscopy doctor allegedly not hearing a patient screaming because he didn't have his hearing aid in, a new non-dating app that connects groups of people just for meals, and a survey that found Fresno to have the most chivalrous men in California. Finally, statistician and professional poker player Nate Silver makes his first ACS appearance to talk about his new book “On the Edge: The Art of Risking Everything.” They also talk about his site FiveThreeEight getting bought by Disney and the benefits of leaving the mainstream media in favor of Substack. Then they discuss what Nate's model predicts for the upcoming presidential election and his relationship with Sam Bankman-Fried. For more with Gary Vider: ● Listen to his podcast: #1 Dad ● INSTAGRAM: @garyvider ● TWITTER: @garyvider ● WEBSITE: http://garyvider.com For more with Nate Silver: ● Buy his new book: “On the Edge: The Art of Risking Everything” available everywhere. ● SUBSTACK: Silver Bulletin newsletter ● TWITTER: @natesilver538 Thank you for supporting our sponsors: ● http://SimpliSafe.com/Adam ● http://QualiaLife.com/Adam ● http://OReillyAuto.com/Adam ● Hims.com/ADAM
As Mercury is (still) retrograding I thought it would be nice to cover the Astro chart of Swiss-French psychologist and statistician Françoise Gauquelin. Her (ex) husband was Michel Gauquelin see Episodes https://astromary.libsyn.com/episode-115-0 and https://astromary.libsyn.com/episode-322-zones-of-high-intensity Here is her natal chart Françoise Gauquelin/Schneider Gemini Asc, Sun in Gemin in 1st house, Mercury retro conjunct Asc located in 12th house Moon in Scorpio in 6th house YEAR of marriage (NOT DATE!) Trans Pluto conjunct natal Mars, trans uranus conjunct natal Pluto Transits for date of birth for her/their son Daniel He was born Sun Taurus, Moon Virgo possibly conjunct retro Uranus/Pluto conjunction Date of divorce Trans Chiron on Asc, trans Saturn on natal Moon, trans Neptune in 7th conjucnt natal retro Saturn Date Françoise Dies References https://www.astro.com/astro-databank/Gauquelin,_Fran%C3%A7oise https://www.astrology-and-science.com/g-trib2.htm https://geocosmic.org/ https://www.bbc.co.uk/news/articles/crg7yg4mknxo
Find me and the show on social media. Click the following links or search @DrWilmerLeon on X/Twitter, Instagram, Facebook, and YouTube! FULL TRANSCRIPT: Wilmer Leon (00:00): So here's a question. How does the false construct of race, and yes, it is a false construct or the real constructs of culture and cultural identity factor into our opposition to or support for a political candidate. Let's find out Announcer (00:26): Connecting the dots with Dr. Wilmer Leon, where the analysis of politics, culture, and history converge. Wilmer Leon (00:33): Welcome to the Connecting the Dots podcast with Dr. Wilmer Leon and I am Wilmer Leon. Here's the point. We have a tendency to view current events as though they occur in a vacuum, failing to understand the broader historical context in which most events take place. During each episode of connecting the dots, my guests and I have probing, provocative, and in-depth discussions about the broader historic context in which most events occur. This enables you to better understand and analyze the events and the impact that these events have on the global village in which we live on today's episode. The issue before us is, as I stated, how does the false construct of race and it is a false construct and or the real issues of culture and cultural identity factor into our opposition to and support for candidates for insight. Let's turn to my guest, Dr. (01:35) Chantel Sherman is a historian and journalist whose work documents deconstructs and interprets eugenic themes in popular culture, identity formation among African-Americans and reproductive apartheid in carceral spaces and within marginalized communities. Publisher of Acumen Magazine, author of In Search of Purity, eugenics and Racial Uplift among New Negroes, 1915 and 1935, as well as popular eugenics in television and film. Also, she's a novelist of Fester and Spill. Dr. Chantel Sherman, welcome back. Good morning. Thank you for having me. And as always, thank you for joining me. And I got to add, she's a very, very dear friend as well, so I get to call her Chantel, before we get to the question posed in the open, A viewer of our last discussion reached out to me and wanted us to elaborate on the issues of eugenics in medicine because many of us know some things about the Tuskegee study as well as Ms. Henrietta Lacks, but there's an awful lot more to eugenics and medicine than just those two issues. So starting there, particularly with the Tuskegee experiment, I elaborate, clarify what you know to be some of the misunderstandings about that, a little bit about Henrietta Lacks and then where are we with eugenics in medicine? Shantella Sherman (03:10): Sure. It's a loaded question because it actually has, the response is almost a series of volumes, quite frankly, but to synthesize this understanding, eugenics means what you're trying to do is create better people. And in order to create better people, you have to know what they're made of, what makes good stock, what makes good genes. And so what we've tried to do in this country through eugenics is to create better people by restricting who can and who cannot have children incarcerating people performing sterilizations for sterilizations on folks who we deem as unfit. And so it's not just about the body, but it's the body politic. So if I determine that you're poor, for instance, it's believed that poverty is in your DNA diseases are automatically in your DNA. And so black people as a whole, were considered to be contaminated. We are still considered to be largely contaminated. (04:17) We are a bad gene pool, we are a subhuman group according to science and eugenics. So based on this, studying any type of disease means studying black people, and sometimes it means injecting them with certain things. So with Tuskegee, there's been a bit of a revisionist history about these are black people who had syphilis and we simply did not treat them in order to see the development of the disease or the course of the disease over years. The truth of the matter is many of these men were injected with syphilis, and that's the original documentation that we don't necessarily look at. We have to get to a point where we're looking at the entire scope of information and data. Alabama, Tuskegee was not the only place where these syphilis studies were taking place. The serological studies were taking place in six different states and they were all connected to sharecropping or farming communities, sharecropping communities where the black people there could not necessarily leave of their own free will. (05:23) And then based upon that, you had a population that you could study, you could inject with different things. I've seen studies where folks are literally looking at how pesticides work by spraying cotton fields and leaving the black people who are working in the cotton fields in the fields so that as they develop lung conditions, you now start to talk about how black people don't have the capacity to breathe in certain places or they have bad lungs or these other things as if they're genetic, when the truth of the matter is you are experimenting on them. And so we've been the Guinea pigs unwittingly in this country for a long time, but because the stroke and the core of the information is based upon black people being somehow contaminated anyway, being less human, then we become like the lab rats or the little white mice in the labs where constantly we're having things tested on us and we don't necessarily know this. Then the scope of that becomes black people are 10 times more likely to have this. They're 10 times more likely to do this or to die of these conditions, or their behaviors lend themselves to these particular things. Wilmer Leon (06:39): When you said make better people, it was inferred, but I want to state the obvious. When the Nazis were trying to make the superior race, they were not doing this for the betterment of mankind, even though in their warped racist minds, they thought, so this was not altruistic by any stretch of the imagination. They were trying to make better white people at the expense of people of color. Is that hyperbolic on my Shantella Sherman (07:22): No, it's on point. I mean, the fact of the matter is if you consider non-white people to be subhuman, there we go. Or a subspecies. Let's pull this into America. When you say American, you're not talking about black people, you're talking about white people. That's why you have to add these hyphens, African-American, because America is the culture. It is also the race. It is also the health. It is also the patriotism. It is also the citizenship. And so this language becomes loaded. So when you say American, I'm looking at things that are talking about the American birth rate. The American birth rate is not going down when we're talking about black people or Hispanic people. So where in America is the birth issue? It's an American issue. It's a white issue. Wilmer Leon (08:15): It's a very white issue. And I'm quickly trying to put my hands on a piece by Dr. Walters here. I think I have it that speaks to this in the political context where, well, I can't find the quote, but he basically talks about, it's very important to understand that, oh, here we go. This is from white nationalism, black interests, and so this is your eugenics. On the policy side, if a race is dominant to the extent that it controls the government of the state defined as the authoritative institutions of decision-making, it is able to utilize those institutions and the policy outcomes they produce as instruments through which it is also structures its racial interests. Given a condition where one race is dominant in all political institutions, most policy appears to take on an objective quality where policymakers argue they're acting on the basis of national interests rather than racial ones. So that's Dr. Walters telling us, if I can just cut to the chase, when white folks run the show and they speak in the national interest, they're talking about their interests, not ours, and that's absolutely okay. Alright, Shantella Sherman (09:55): That's it. Wilmer Leon (09:55): So two other points about Tuskegee that I think are very important for people to understand. I know there were black nurses involved and weren't there also black physicians involved? Shantella Sherman (10:08): Absolutely. Wilmer Leon (10:09): And there is some question about whether there was actual consent. How much of this did they actually know or were they dupes? Isn't that a question that gets posed? Shantella Sherman (10:24): It's a question that's posed often because the belief is that if there's a black person in the room that they're going to side for black people, they're going to defend, they're going to try and help. But the reality is when we're talking science, we're talking medicine and science on behalf of the nation, on behalf of American Americans, we want to make sure that we have a healthy pool of black people as well. So it benefited and it benefits currently many black leaders to hold onto these eugenic things and these eugenic tropes and these eugenic theories where even though we don't talk about sterilizing people in the same way we did, then you still hear people say, black people, even this person has too many kids, they don't need to have any more kids. They're on welfare already. So what do you do? You Wilmer Leon (11:18): Give them Ronald Reagan's welfare queen, Shantella Sherman (11:20): Right? Well, right. If a white person says this, it's racist. If a black person says she already has 10 kids, she doesn't need anymore. She can't afford 'em, now she's neglecting them. We start with this other thing and it becomes, so what do we do? Give her no plan or something. And if that doesn't work, go ahead and give her a hysterectomy. That's eugenics. Wilmer Leon (11:41): An example of that on the other side is Octo mom. Shantella Sherman (11:45): Exactly, Wilmer Leon (11:47): Exactly. She got a TV show or she was trying to get a, there were people who were saying, oh, this woman is out here tripping and something needs to be done. But there were also those that wanted to glorify her, put her on television in order to generate revenue, Shantella Sherman (12:11): Generate revenue, but also public opinion, where she was one, a single woman, she already had one child that she was having trouble supporting. Then it became who should have access to IVF and all these other things, and then who's going to pay for all of these eight now nine children that she has? And it was like, what is she going to do with them and dah, dah, dah, dah. But you give the duggars one, she's single. If it's the Duggars who are just full of all types of deficiencies over here, I'm using eugenic terms. I'm sorry. All of a sudden it was like, right, give them a TV show. Give them money, give them this, give them that. Because what you're doing with television is programming people to believe some people need this, some people don't. If this was a black female in Chicago, in the Robert Taylor homes years ago and she had 10 or 11 kids, you'd be running her up a flagpole at this point and talking about the degeneracy and her kids are going to be this and there's no father in the house and all of these other things. (13:09) So when you push this politically and you start talking policy, this is what you're concerned about. We should be concerned about on a local, national, and even an international scale. And so as you start to talk about candidates, we have to have a clear understanding of where our potential leaders fall, whether they're black or white, because black people are also Americans. And so we're living the American dream, and I don't want these people living next to me and I don't want a prison next to me and I don't want halfway house over here, and I don't want the school of kids over here and I don't want this, this, this and this. And that's an American thing, even if the person or the kids or the people I'm talking about happens to be brown just like me. Wilmer Leon (13:57): So to wrap up the Tuskegee, what are the two biggest misnomers about Tuskegee that you want this audience to have a better understanding of before we get to Henrietta Lacks? What do you want people to understand about Tuskegee? Shantella Sherman (14:13): The Tuskegee was not the only place, and I don't even like it being named, that it was the Eugenics records office. Serological studies. And you had five other places, five other places other than Tuskegee, where these serological tests were being done and they did not necessarily stop. Wilmer Leon (14:34): Oh, meaning that they're still ongoing. I know they were going well into the seventies at least. Shantella Sherman (14:43): And if Tuskegee is the only one that they're talking about, what makes you think that? The serological studies that were taking place in Mississippi and in Tennessee, in Georgia, just in North Carolina. In North Carolina, and again, there's a whole record of this, but we don't talk about that and we don't talk about the black people intrinsically involved in these studies and in this research, Wilmer Leon (15:08): Henrietta Lacks, if you would elaborate, Shantella Sherman (15:13): One thing that we don't discuss with Henrietta Lacks is that the fact of the matter is that she was at Crownsville, she was in Maryland. Once again, you must make the connection between eugenics and these carceral spaces, either asylums places where you need to have a mental rest. I don't like even calling them. It's a home for the mentally ill. This person may have been having menopausal symptoms. They have women in there, they were reading too much. There's a Howard University professor and his name Escape Smith, the moment high ranking Howard University professor. He was caught up in Crownsville at some point and died there. And Wilmer Leon (15:52): For those that don't know, what is Crownsville? Shantella Sherman (15:54): Crownsville was the Maryland, it's, we would say asylum now, but it was a place for people who were feeble minded or had mental health issues. And you could be put there for any of a number of reasons. But once you were there, this was the one specifically for black folks. So a whole black neighborhood was cleared in order to put this asylum there and to let you know what they thought of black people, they made the black people who were supposed to be the patients actually build the hospital itself. And it remained open for quite a while, but it was a place of torture. It was a place of experiments. And Henrietta Lacks ended up there. And so while people are, she's telling people, okay, I'm having fibroid issues. The potential cancer issue, once you're in these spaces, you don't have rights over your own body. (16:45) So the experiments and the biopsies and the whatever else are also taking place in these spaces. And so that's where she was when all of this transpired, grabbing her cells, studying her cells. If you knew the cells could give us the cancer treatments that we have today, were you actually trying to treat her or were you trying to advance science? And so we have to start looking at who were some of the black doctors that were there, who were the other universities? You have universities that are attached to these asylums. And so it's not just, even if you're talking to Tuskegee, it's not just Tuskegee as the area, it's Tuskegee, the university, it's Howard or it's me, Harry. It's black institutions as well. And you have to look at this. Some of this is a class issue, but it's always a consciousness issue. You all right? Wilmer Leon (17:40): And just so people know that Henrietta Lacks, she was the first African-American woman whose cancer cells are the of the hela cell line, which is the first immortalized human cell line, and one of the most important cell lines in medical research. And a lot of people made a lot of money, Shantella Sherman (18:05): Still are Wilmer Leon (18:06): Hundreds of millions of dollars off of her body. And up until recently, her family did not receive any type of compensation for the illegal use of her body. And I want to put it in the context of body because when you talk about cells and people go, oh, cells, what the hell? No, it was her body that they used to create an incredibly valuable, some would say invaluable. You really can't even put a value on it. And up until recently, her family, I can see you want to go ahead. Go ahead. Shantella Sherman (18:52): Well, when you start talking about the value of black bodies, we can go currently, as of last year, the children that were involved, there was a situation in Philadelphia, 1985 where it was a group of what they called militant resistant black folks, the Africa Family Wilmer Leon (19:12): Move Shantella Sherman (19:12): Movement community. They were in a lovely community. And so they had this move project that they were doing, this is their thing. And you had a black mayor at this point who said, Wilmer Leon (19:23): William, good, Shantella Sherman (19:24): There you go, mayor. Wilmer Leon (19:26): Good. Who was bad? Shantella Sherman (19:28): I'm sick of having to deal with this. And instead of charging the house which had children in his whole family communal type of space, he said, let's drop a bomb, get a helicopter to drop a bomb on the house. Which of course ended up spreading. It tears up the entire neighborhood. But here's the point with this, two of the children that died in the bombing, somehow their bodies were sold given over to the University of Pennsylvania for study for research. Because the idea is, is there a difference in the brain and the mentality of a resistant black family and their children, their progeny that we need to be aware of? So now you have a university studying the brains and the body parts of dead children. The family does not know. The family did not know until last year that the university didn't even know that the bodies were sitting on the shelf Now Wilmer Leon (20:30): Because some of the other children survived and are now in their thirties and forties. Absolutely. Shantella Sherman (20:36): Absolutely. Absolutely. So they had to give those but become, we're going to give you the bodies back so they can be interred. What were you doing with these children? You were studying them, you're studying them not just as cadavers. They were being used in the classroom for what purpose though? And so I think that we need to really grapple with the fact that there's a value to black bodies, even if there's not a value to black people. The culture is amazing and this and this, but there is a value to black bodies that we don't talk about. And so there are folks that are, you have dollar signs on you when they see you, they have dollar signs on your womb, they have dollar signs on you as you matriculate through life and you navigate different systems. And the goal is to extract as much as possible while we are just kind of not paying attention to any of it. Wilmer Leon (21:34): There is the adage, you are a product of your environment. And so people will look at me, look at you. And how did you all become PhDs? Well, they haven't met your mother. I've had the blessing. They haven't met your parents. They haven't met my parents. We are products of our environment. So when you look at the children in the Africa family from move in Philadelphia, those children, there was nothing biologically different that made them one way or another. They were products. They were raised a certain way just as they want to talk about black on black crime, ignoring the fact that crime occurs everywhere. You tend to commit crime in the space that's closest to you against those that are closest to you. And that poverty is one of the greatest contributors to a criminal element. Not psychosis, not phenotype. And final point as they talk about black crime, who did the mafia commit most of its crime against other Italians? Who did the Polish Mafia? Who did the Russian mob? Who does the Israeli mob commit crime against those that are closest to them, but we don't understand it in that context. Shantella Sherman (23:19): Wiler, I'm going to throw this in here real quick. The University of Pennsylvania has a long history of studying black folks, especially ones that they consider to be degenerate types. For years, I did a series for Acumen Magazine called the Crack Baby Turns 30. And it looked at a study, a longitudinal study that the University of Pennsylvania was doing where they actually studied the children, the newborn babies that were left at the hospital by women who were crack addicted at that point. And they had these terrible lines in their notes saying things like, these children don't look you in the face. They are born with a pathology. They will be criminals and they will be murderers. And they don't even cry like real babies. They're like animals, okay, 30 years on and they're studying these kids every month 30 years later, they come back and say, each one of those children provided they were given to an aunt, a grandparent or someone else, and they were loved on and taken care of. (24:21) They turned out just fine. None of them have been in prison. None of them have committed crimes. None of them have had out welock babies, most of them. I think they said 90% of them have been to college. Alright. So it automatically tells you that the nature versus nurture is really just a dream. It's a dream sequence in some madman's laboratory where you're going to try and make a case by creating an environment where you're defunding this and unhinging people and then saying, this is a self-fulfilling prophecy or this is all about the numbers and these are the stats and this is where this goes. And it is simply not true. Wilmer Leon (25:04): Some may have heard me tell this story before, but nature versus nurture, really quick example, I went to a private Catholic high school in Sacramento, Christian brothers high school and had to pay tuition to get there. So whether it was hook or by crook, I can obviously afford to be there. I'm there. So the guidance counselor at the time, Mr. Patrick O'Brien sees me wearing a Hampton sweatshirt and I'm walking down the hall and he says, Wilmer, what is that? And I said, oh, this is the sweatshirt from the college I'm going to go to. And he says, you're going to college? I said, yeah, Mr. O'Brien, I'm going to college. He said, Wilmer, have you ever thought about trade school? I said, no, I have never thought about trade school. He says, well, why not? I said, because honestly, Mr. O'Brien, I don't want to have to take the ass whooping that I'm going to take if I go home and tell my parents I'm not going to college. Now there's nothing against going to trade school, but in my house. Shantella Sherman (26:13): Exactly. Wilmer Leon (26:14): That was not an option, Shantella Sherman (26:16): Not one. So Wilmer Leon (26:21): It was all a matter of environment. And so people look at my son now who just graduated from Hampton, and the boy understands he has two options, conform or perish. So it's not a miracle, it's an environment. It's a level of expectation that is set. It's a matter of standards that must be maintained and understanding if you follow the path, life is great. If you deviate from the path, you might have a problem on your hands and you have to make a decision, do I want this problem or do I? That's all. Am I wrong? Shantella Sherman (27:12): No, I mean it's spot on. And I think that again, we understood this 50 years ago in a way that we are not passing that information down now. So the fact that someone can come to me now with eugenic thoughts and tell me if a black child hasn't learned to read by the time they're in the third grade, they have automatically lined themselves up to go to prison. Who came up with that foolishness? Wilmer Leon (27:38): Wait a minute, I'm one of those kids. I'm one kids. Shantella Sherman (27:45): Come on now. Wilmer Leon (27:46): I was reading well below grade level when I was in the third grade and they had shifted, and that was the time when they had shifted how they were teaching reading away from phonics to sight words. Fortunately for me, my parents, we had a very dear friend, Mrs. Bode, Mrs. Gloria Bode, who was a reading specialist, she would come to the house three times a week after dinner. She taught me phonics. And within Goy, it wasn't even a month, I went from reading below the third grade level in third grade to reading at the seventh grade level. All she did was teach me phonics. Shantella Sherman (28:40): Exactly, exactly. So the fact that you can add fake science over here with the eugenic themes, add it to policy, trickle it into the school system, add some funding issues with this, it's like I need you to understand that's what public libraries are for. I need you to understand that every child learns at a different rate. I need you to understand that if there's calamity all around this child outside in the neighborhood, they're not listening for concentration purposes and it may be hindering them. There are things that we knew and we knew how to meet those challenges to ensure that the children in this great space would be able to matriculate. We haven't gone bonkers. So why is it that we are feeding into this and actually accepting that it's true? And then getting on television and saying yes, as a black psychologist, it is true that if black kids don't start reading, you have black people who don't know how to read until they are adults, but they've never committed crimes and they didn't turn into degenerates. So why are we leaning this 10 toes down? It really is a fact. Wilmer Leon (29:47): I know some of those people who became very productive individuals and education became very, very important for them because they understood the value of what they didn't have. And they instilled in their children who went on to college and went on to get master's degrees and other advanced degrees, and many of those kids didn't even realize until after they got out of school that their parents couldn't even read. Shantella Sherman (30:13): Many people went to their graves as black people and white people who never learned to read period, but that was not a part of their character. If you can't read, you're automatically going to become a criminal. That's not the way this works. It's not the way it works. So the fact that we bought into this again tells me that we're moving back into these eugenic themes without, it's the popular social eugenics that the average everyday person is just like, yeah, that makes sense. It does not. Wilmer Leon (30:43): It only makes sense if you don't have any sense. So moving into these popular eugenics themes, getting to now the question that I opened the show with, how does the false construct of race and yes, race is a false construct or the real constructs of culture and cultural identity factor into our opposition to or support for a political candidate. And that all centers around, and I'll state the obvious here at right now, the presumed democratic nominee, Kamala Harris, whose father is Jamaican, whose mother is Indian, and she in some circles is considered to be an African-American woman. I've heard her referred to as such. I've also heard her in many current commercials referred to as an Indian-American woman. And I want to stress this is not a judgmental conversation. Shantella Sherman (31:54): No. Wilmer Leon (31:55): Let me throw it to you, Dr. Sherman. Shantella Sherman (31:59): The issue at hand warmer is that however many of those boxes she chooses to check that show diversity or Wilmer Leon (32:06): Check for her Shantella Sherman (32:08): Either way, either way, all of those lend themselves to the greater eugenic conversation, which is she is non-white. Okay, 1924, racial integrity, that act coming out of Virginia said there are only two races. Skip the Monga, Loy Caucusi. We're going to scratch all of that. There are only two races, white and non-white and the fact that she's also female, that's another thing that we have to deal with. Public perception, American public perception, sometimes global public section of what it means to be any of these things or an amalgamation of all of these things. And some people may be offended by the term amalgamation, a mixture. We're all a mixture of a bunch of other things. What does that mean? And so each one of these people who are definitive about whiteness and Americanism and patriotism, they're questioning as they did with Obama citizenship. They're questioning her womanhood at this point. They're questioning as Wilmer Leon (33:15): They did with Michelle Obama. Shantella Sherman (33:17): Exactly. They're questioning. But on this side, how many kids does Kamala have? And then the fact that, Wilmer Leon (33:26): Didn't JD Vance call her a cat woman because she doesn't have any biological children of her own? Shantella Sherman (33:31): What is that exactly? Wilmer Leon (33:34): Wait a minute. I got to mention when I mention his name, we always must say for those who don't know, JD Vance is now Donald Trump's vice presidential nominee. He's the same guy who about three years ago compared Donald Trump to Adolf Hitler. So one has to ask the question, how does the guy who three years ago called another guy Adolf Hitler, wind up standing next to that guy as his vice presidential nominee. He didn't even call him Mussolini. He called him Hitler Shantella Sherman (34:07): And pay attention to the fact that when Kamala, Kamala was named as Joe Biden's running mate, once again, I heard the senator call say, okay, now we are going to have aunt your mama in the White House. This woman doesn't look like aunt your mama, no connections whatsoever. But all of a sudden this is what folks are thinking of you in these spaces all along. And so the nastiness of it starts to come out the thing. Wait Wilmer Leon (34:40): A minute, and that takes me to Tiger Woods when he first won the master's tournament and the year after the master's tournament, the winner gets to determine the menu for the player's dinner. And Fuzzy Zeller says, oh, we going to have fried chicken tonight. Shantella Sherman (34:58): Fried chicken and watermelon. Wilmer Leon (35:00): There you go. Shantella Sherman (35:01): Yeah. So again, my question is if we are that removed from the plantation at this point, why are you constantly trying to throw people back onto it? Or these are the only references that you're coming up with when you can clearly see in front of you that this isn't the case, it's the Fair State University, their whole thing, their memorabilia collection that they have of racist items that came up 1870 and moving forward. And it was like while we are saying they're racist, these are the things that keep peace in many white minds. I need an anama salt and pepper shaker. I need an anama cookie jump. I need to put her face on the pancake box. I need to have two little black kids as the icons or the folks that I'm using for gold dust soap powder and for this and for that and for the other. (36:00) And so in researching how labels and emblems and mascots were created, you start to find that when white people feel uncomfortable in this country, they tend to hold onto the things that they did love about black people. And so that hasn't changed. We're going to show Kamala dancing and we're going to show her doing all of these things, loving cats, the things that make white people feel good and feel comfortable and feel wholesome and feel whole. She is a part of our group. And at the same time you have black people who are going, but she's married to someone who's not black. Wilmer Leon (36:40): I was asked that question, I won't mention the woman's name who said to me, Wilmer, why do black men, Hey Kamala Harris. And I said, I don't know that black men do hate Kamala Harris. I haven't seen any data. I said, but let me pose this to you. Why does she hate black men? And it was what I said, well, she didn't marry her brother. And I said, so I'm not equating the fact that she didn't marry a brother to say that she hates black men. I am just posing that as a ridiculous premise to your ridiculous premise and riddle me that and I couldn't get an answer. Shantella Sherman (37:28): No, we are still stuck in an antebellum mindset. Many folks are just still stuck there. And so it doesn't make sense that I can walk into a room and someone is waiting for me to flip some pancakes or am I the cleaning lady? Am I here for any type of servant position? Nothing wrong with servants, but when you visually look at a person and you start to assess them, not my character, not any of these other things, but sight, you're seeing me for the first time. If your reaction is to put me into this particular position, you need to ask yourself why. This is something that as the commander in chief, potential commander in chief of this country, that she's going to have to face down in the same way that President Obama had to. But she's also going to have this added level of this is a female who does not have children and all of these other, she's suspicious to folks. She's suspicious to the nation. And that is simply unfair and it's unfounded, but it's how we do things here a lot of times. Wilmer Leon (38:40): So let's take the other side of this because when she first announced that she wanted to be president in this, after Joe Biden stepped down, the narrative was she's earned it. She deserves it. I think it was Simone Sanders Townsend who was saying, and some of her other surrogates who were saying, what does the Democratic, what problem does the Democratic party have with wanting a black woman at the top of the ticket? It was all about her being an AKA. She went to Howard and she can do the electric slide. We were falling into that same mindset in terms of rallying the troops around her instead of asking the questions, where does she stand on Gaza? What's she going to do about Ukraine? What's her policy on Cop city? Where is she on the George Floyd Act and policy issues? And when we started listing policy issues and wanting her to articulate where she stands on policy, then the question becomes, why are you hating on the sister? Why do you hate black women? No, I don't hate black women. I know that AKAs Howard University and I have two degrees from Howard, so I ain't hating on Howard and being able to do electric slide that ain't going to feed the bulldog. Shantella Sherman (40:16): Well, and the truth of the matter, I don't believe our percentage is 13% still because it's just not fathomable we've been producing. So I'm going to say the black population is country. Let's say it's at about 18% right now. Alright? You still have the whole rest of the country that to some extent mentally and emotionally, you're going to have to reunite in the same way Obama had to reunite them because they had blown apart with even the thought of having a black man in office. Okay, you're going to have to suture us back together. Wilmer Leon (40:54): Donald Trump was the reaction to Barack Obama. Shantella Sherman (40:58): Absolutely. And the belief that even at this point, I still have people saying, Barack Obama is running the White House behind Biden all this time. And I'm going, are you serious? So it doesn't matter the truth. The truth doesn't matter at this point. It's what you feel. And I'm telling people it's not about what you feel. Your feelings don't enter into the facts at this point. Thank you. I need you to start talking about the fact that the housing in this country is so deliberately greedy and ridiculous that working people are living in homeless shelters. All right? I need you to talk. College Wilmer Leon (41:33): Professors in California are living in their cars. Shantella Sherman (41:38): I need you. And this is across the country and quite frankly across the globe. So I need you to talk to me about investing and divesting in certain things. I need to know where Kamala stands on certain things. I haven't really heard. I don't know what her platform is on certain things. I would love to have someone talk to her rather than having Megan thee stallion up dancing with her. I don't care about that. I don't want to hear about that right now. You're telling me people are blowing me up about Project 2025, which by the way is nothing but the NATO group and some other folks from 1925 still trying so much conservative policy. This isn't new. Wilmer Leon (42:14): It's not new. It's called New Gingrich's Contract with America. Shantella Sherman (42:18): Thank you. Nothing on that list is new. Nothing on it is new. So it's like even if it were true, and I understand that a lot of it is not true. It wasn't in the 880 page document that most people haven't read. When I started sifting through it, it was like that didn't happen. That's not in the document. That's not there. These are proposals. And do you know how many think tanks put out proposals every time there's about to be a change of leadership? So it's like don't get up in arms. This is something that we always face. But in the meantime, can you tell me where if this were something that was about to take place, where are your local leaders positioned on this? Because we got Biden in office right now, but you still can't afford to get a bag of potato chips for less than $4 or $5 right now. What is going on with the cost of living and the American dream? Why are you having corporations buying up housing so that the average person can't afford 'em? Wilmer Leon (43:10): BlackRock, Shantella Sherman (43:12): Help me out. Wilmer Leon (43:14): People don't understand that As a result of the Covid crisis and the mortgage crisis and all of these homes that people were put out of BlackRock and other venture capitalist companies were buying up the housing stock and they weren't putting the housing stock back on the market for sale. They were putting the housing stock back on the market for rent. Absolutely Shantella Sherman (43:45): For rent. And if you're charging, there's nothing, I'm going to say it on the record, there's nothing inside Washington DC that's worth $5,000 a month as a two bedroom apartment. Nothing. Nowhere in this city is it worth it. But those are the going rates. And so we can look at this. Go ahead, I'm Wilmer Leon (44:02): Sorry. And as Vice President Harris is on the stump saying, Donald Trump is a convicted felon. And as a former prosecutor, I know how to deal with felons. I know that personality well, when you had Steve Mnuchin in your sights when he was the bankster in California and your staff brought you a thousand felonies committed by the man, you didn't pursue the case against Steve Mnuchin who wound up being our Secretary of Treasury under Donald Trump. So don't hate Malcolm said, when my telling you the truth makes you angry, don't get angry at me. Get angry at the truth. I don't do the electric slide. I'm not an A KAI am in the divine nine, but I don't do that. And so those things don't matter to me, Dr. Sherman, Shantella Sherman (45:00): It's going to have to matter to us what the policies and standpoints are that Kamala Harris brings to the table. I just want to know her positions on things. I have the lesser of two evils true as it appears, and I believe she would make a wonderful president, but I would love to know where she stands on all of these issues that are also international issues that are also, I've been trying to get someone from the state of California, a representative, and I don't have to call the person's name to talk to me about the sterilizations that are being forced on black and Spanish women inside California penitentiaries for the last eight years. And I can't get a callback. So I want you to understand that it's not about blackness. It's about I need you to make sure that my American dream isn't a nightmare, that you get to blame on Donald Trump or anybody else. We have black elected officials. We're not holding anyone accountable and we're not holding them accountable from the moment we elect them. You're not asking the proper questions, and so you Wilmer Leon (46:04): Won't get the right answer. Shantella Sherman (46:06): I want Kamala Harris to win. I put on the T-shirt, all of that. But in the meantime, I want to know where she stands on some things that impact my quality of life and the quality of life for the folks who are around me. I've crossed 50 years old at this point, so I'm trying to figure out if I had to go lay down and retire somewhere, is there a patch of dirt in the woods for me that you want going to then come through and arrest me for being homeless on and lock me up for it? That's a reality. They're locking up homeless people. It's their laws in certain states now. And these states have black representatives. No one's talking about this. We are talking about the suits that people are wearing and their connections and affiliations with other things that don't benefit us at the moment. Wilmer Leon (46:51): And rappers Shantella Sherman (46:52): Well, and just while you dancing, when it comes time to pick your kid up from the daycare center, are you going to find out that they've raised the rates? So you got to pay $3,500 a month for the kid to go to the daycare? Wilmer Leon (47:04): And two things. One is we keep hearing that we can't afford to provide quality daycare to people across the country, but we can send a trillion dollars to Ukraine. See, budgets are numeric representations of priority. Shantella Sherman (47:26): And also add to that, even if we didn't have the money, we had the consciousness, we had the heart to say that the grandmother in the neighborhood who was opening her home should still be able to do that without being licensed to a point where she has to pay $2,500 to the city and go to a class for eight. She raised 10 kids and 15 grandkids. She knows what she's doing. You've kept us from being able to have that communal space. Now that's not just, I want some money that's being vindictive. You're setting up the parameters, the variables that are going to lend to the things that you're talking about as black people and poor people. You're creating poverty. That's what you're doing right now. Wilmer Leon (48:11): Norway can do it, Finland can do it. Denmark can do it. They're doing it. Shantella Sherman (48:19): Anyone who is for their citizens can and will do it. The difference here is that we're not working together. We've always been fighting against each other. It's the infighting. I want my kids to be able to have it, but not your kids. I don't want immigrant kids. I don't want my kids around the Spanish kids. They're going to learn Spanish and it's too many of 'em and they're undocumented and they can have diseases, and I don't know what they're into. Well, the same thing was said about black people coming into white spaces. So if we're going to do America, we got to do America for everyone, and we got to make sure that these policies don't hurt this person in order to make me feel better. And in the long run, end up hurting me as well. Wilmer Leon (48:58): My current piece is you're with her, but is she with you? And the premise of the piece is, and I say this in the piece, it's not about her. It's about us. And what are we going to demand of her relative to us? Because that's what policy politics is all about. It's about policy output. It's not about the Divine nine and Howard University and the electric slide. It's about policy output. She went to the Cara comm meeting as vice president and try to convince the leaders of those Caribbean nations to be the minstrel face on American imperialism to invade Haiti. How does a black woman whose father is from Jamaica believe that our invading Haiti is a good idea? She didn't go alone. She went with Hakeem Jeffries and some other folks, Linda Thomas Greenfield. How do these black people, how do these black people buy into imperialist, neo-colonial policies like that? And so I make that to take us back to the eugenics question and the identity Shantella Sherman (50:26): Question, and I'll throw that to you because it's all about the fitness of the individual person or the group. And so Haiti has always been the bastard black child that even black folks don't want to claim a small minority of black folks always down for Haiti, always. I'm there with you. But there are all these people who are still, you want to glamorize Africa, but you won't set foot there. You want to go to Africa, but you don't want to stay there. You don't understand the politics, the culture, the language, the faith, none of it. But since it's been tagged onto you as African-American, you claim it. But again, when you get down to it, we still have eugenic thoughts as black people about who is fit and unfit, who is worthy, who is unworthy. And it's about nothing related to character. It is about nothing related to morality or how people handle you or them being good people. (51:27) It's all about the same things that white people use the litmus test to define you. And so we cannot get away from that as easily as we think and things like this. When we get into a space like this, it magnifies it and we start to see ourselves and it does not look good. It doesn't look good on us at all. Haiti, poor black people, folks living in the projects historically by colleges and universities, not the elite eight, the big eight, but the rest of 'em, the ones that we don't really want to talk about this in them other states that we don't want to deal with, alright? We don't want to deal with that. There are things that we need to discuss to make sure that HBCUs and the Divine Nine still exists. If the federal government starts pulling money back. We've had the heirs desegregation case. (52:20) We've had a similar case in Maryland where basically HBCUs are being said to be anti-white at this point. And in order to get the money that these HBCUs won for having been discriminated against with funding, it's being said, in order to get the money, you now have to have five to 10% of your student population be minority. That minority has to be white. So now you are giving free education to white students in order to get the money that's owed to you from having been discriminated against in the first place. You have to understand in street terms, we've been in a trick bag for a minute, right? And we need to stop playing games. It's late in the day. You need to heal your line. Alright, I'm going back to Hurston. Heal your line. You need to understand that you're about to get caught up in the very trap that you've been setting and you're not paying attention. You're simply not paying attention. We haven't been paying our alumni fees like we're supposed to. Our schools are still dependent on federal government funding and state funding. We are not standing alone. So we need to make sure that our leadership also understands that, that we need to have practical solutions and policies so that we're not reacting to things, but literally charting a course and setting it and staying on that course. Wilmer Leon (53:44): What are you demanding? And two things to your point about funding and HBCUs, the HBCUs in Maryland won a case against the Maryland government for not properly funding those HBCUs. As the state had funded, the predominantly white institutions went all the way to Maryland Supreme Court and the schools won. The Republican governor, Larry Hogan refused to give them the money that the court awarded and forced those institutions to negotiate a lower number. I don't remember what the numbers were off the top of my head, but Shantella Sherman (54:33): What? Yes, sir. What again? The exact same thing happened in Mississippi. And that's why I said that was the heirs desegregation case. And it was the exact same thing. The money that came down to fund the Mississippi schools, they gave the HBCUs less money when they disseminated. And it was like, okay, Mississippi won the HBCUs won the case, but the content, the little fine print said, we are going to give you the money, but now you are required at this point to add 10% of your population needs to be minority on a black campus that's not black students. And they said, we can pull in some Africans and some people that still fit. No, you need to have some white students on this campus now. So that was the quote. That's how they got around it. And it was like, wow, these are the nasty tricks that I'm talking about. And so if it happened in Mississippi and it's happened in Maryland, where else is this happening? Can I get leadership to understand this is how you tie black hands behind the backs of citizens that actually want to go to school. Wilmer Leon (55:45): Final thing, symbolism. And again, I'm getting back to ethnicity and cultural identity as it relates to Vice President Harris. And I'm not picking on her, she just is the poster child of this in the moment because there's an awful lot of symbolism that is being used here. And again, they rather be symbolic than talk about substantive policy output. Shantella Sherman (56:22): The symbolism goes to the heart of the nation. Whose nation is it? Whose America is it that's which one of the presidents? Wilmer Leon (56:39): Well, you mean we want, we want, oh Shantella Sherman (56:41): No, no, Coolidge, Calvin Coolidge. Okay, whose country is it anyway? And so you literally, you're having white Americans say, this is ours and we've allowed you to be here, Wilmer Leon (56:56): Tom Tancredo, and we want, and the Tea Party, which was the precursor to Donald Trump. We want our country back. Shantella Sherman (57:06): So again, but how have you lost it? Wilmer Leon (57:09): Who has it? Because I don't have it. Tom Tan credo. If you're listening, if you're watching, I don't have your country. Shantella Sherman (57:18): And again, so that's how you start again. You're going to see an explosion of language about women having babies and birth control and all this. And again, it's this. They're having natal conferences once or twice a year where people are talking about we need to get the country back. And getting the country back means we need white women to have babies and they're not having them. And so based on that alone, any white female who's out here supporting Donald Trump and all of these policies, they don't necessarily understand what you're about to do is send yourself back into the house because there's a good white man that needs the job that you're sitting in. You need to be producing babies bottom line. And if you're not, you serve no purpose. Now to the nation, that is a Hitler esque thing, but Hitler got it from us. So that is a Francis Galton thing. Wilmer Leon (58:11): In fact, thank you very much because you and I had talked about that Francis Galton father of modern eugenics, there's a book Control the Dark History and troubling present of Eugenics just by Adam Rutherford. Talk about Francis Galton and talk about Adam Rutherford's book. Shantella Sherman (58:32): Just the idea First Rutherford's book is an amazing examination. I think that it's something that pulls together a lot of the research from different spaces and different years and to synthesize it the way he has it makes it make sense to the average person, which is critical at this point. It's not talking above folks head. So you get to the critical analysis of we need these birthing numbers. Statisticians started coming in and Galton is right here in the middle of this. And you have the eugenics record office who are literally charting birth rates and they're trying to figure out with immigration, emancipated black people. And then you end up with Chinese people and all these other folks that are coming in. And then you start having women who decide they're not going to stay at home. These rates matter and they have mattered for the last 150 years because whoever has the birth numbers, when we start talking politics, these are voting blocks. (59:32) And if I can put you under duress, if I can incarcerate you and then tell you based on the fact that you're in prison, you are no longer a citizen, so you are not able to vote because you have a felony charge. That is a reality for those black men who are huddled in prisons. But the other part of that reality is that because during the reproductive height of their lives, they're in prison, it means that they're not reproducing children. And so there's a duality to having black men and Spanish men and locked into these prisons and degenerate white men. We don't want babies from them anyway. Wilmer Leon (01:00:08): And the fastest growing cohort in prisons are women. Shantella Sherman (01:00:13): And when the women go into the prisons, they are automatically taken before what used to be the sterilization board. They're given a physical examination. If you're a black woman, a Spanish woman, and you have fibroids, they're going to tell you, we're not going to manage your fibroids while you're here. We're just going to recommend that you have a hysterectomy. Or they may not even tell you. So great documentary Belly of the Beast looks at the California state Penitentiary system and they're just ad hoc deciding to sterilize black and Spanish women without their consent and without their knowledge because they said, once we open you up, it's easier just to go ahead and snip you than to worry about having to pay for your children, either ending up in prison, being slow and retarded mentally having to go to special schools or having to pay through the welfare system because they're not normal. Because you're not normal. You're breeding criminals. And so we have to look at these things. I think Rutherford did a great job, but Galton has been talking about, he started talking about this when he coined the phrase, we were already talking about this and the black bodies on plantations started this whole, let's check the women's bodies and see what they can manage and hold as far as their fecundity, as far as they're being able to breed the next crop of Americans. Wilmer Leon (01:01:28): Are those eugenic practices relative to women of color in California? Prisons still going on as you and I are speaking right now. Shantella Sherman (01:01:38): Absolutely. Wilmer Leon (01:01:40): So our vice president, Kamala Harris, who is the presumptive Democratic Party nominee is from Berkeley, was the DA in San Francisco, was the attorney general in the state of California, was the senator from California. I haven't heard anybody ask her this question. Shantella Sherman (01:02:05): I have not heard anyone ask Wilmer Leon (01:02:10): Anybody Shantella Sherman (01:02:10): Elected official. You've only had the Congressman Ell from North Carolina who got reparations for folks who had been sterilized, many of them black in North Carolina. He's since passed away. Virginia asked that people come forward if they had been sterilized, but people couldn't come forward because they didn't know they'd been sterilized. You took them in and told them that they had an appendicitis. So they didn't know that the reason why they didn't produce children is because when they went into the hospital, you decided to do a hook and crook on 'em. They didn't know. So based on just that information, you have very few people in the state of Virginia to come forward and to receive the money. California is now offering some reparations to folks. But if you're in those penal systems, it's still going on. You don't have control over your body. Wilmer Leon (01:03:08): And I want to be very clear to say, I'm not for those that just heard me ask that question and Wilmer, why are you blaming her for this? I'm not. I'm saying I haven't heard anyone ask her this question again because it's not about her. It's about us. And what are we as a political constituency? What are we going to do? What are we going to demand? What are we going to get if we are responsible for putting her in office, which everybody says Democrats can't win without black people. Speaker 4 (01:03:55): Okay, Wilmer Leon (01:03:56): All right. Speaker 4 (01:04:00): Again, I think that she would make an amazing president again. I simply want to know what her policies are. I want to know how she's going to fight against and how she's sizing up her time in office. And that's what I want to hear from her. That's it. Wilmer Leon (01:04:19): Dr. Chantel Sherman, I am so appreciative of you joining me today, as always, dear. Thank you. Thank you, thank you, Speaker 4 (01:04:27): Thank you. Anytime, Wilmer Leon (01:04:29): Folks, thank you all so much for listening and watching the Connecting the Dots podcast with me, Dr. Wilmer Leon, and my brilliant, brilliant friend and guest, Dr. Chantel Sherman. Stay tuned for new episodes each week. Also, please follow and subscribe. Leave a review, share the show, would greatly, greatly appreciate it. Follow me on social media. You can find all the links below to the show there. And remember, folks, that this is where the analysis of politics, culture, and history converge talk without analysis is just chatter. And you can tell by this, we don't chatter on connecting the dots. See you all again next time. Until then, I am Dr. Wier Leon. Have a great one. Peace.
Tom Haberstroh and Travonne Edwards are coming home! Shaq gave Tom a new title after Adam Lefkoe presented The Big Aristotle with the facts of Tom's article. Jerv joins the show to rejoice in Philly's signing of Paul George, 76ers Positivity and Paper Championships. Chris Paul's next career move will be to feed Victor Wembanyama the rock, Tobias Harris has a self imposed exile in Detroit, Jonas Valancunias inexplicably chose pressure free Washington. Rudy Gobert gives his thoughts on the French Revolution taking place in the NBA. Patreon Exclusive: Is Bronny gonna enjoy playing with his Dad? Jayson Tatum already has plans for Deuce. Produced by Anthony Mayes & John Jervay COUNT THE DINGS MERCH STORE - Check it out here: https://bit.ly/CTDMERCH Sign up for Underdog Fantasy Promo Code DING: https://play.underdogfantasy.com/p-count-the-dings If you want to hear the full OG Pod, check out the Patreon! Join the Count The Dings Patreon for full, ad free episodes, extra Cinephobe content and more at www.patreon.com/CountTheDings Watch the OG Pod on YouTube: https://www.youtube.com/@CountTheDings Learn more about your ad choices. Visit megaphone.fm/adchoices
Ben Criddle talks BYU sports every weekday from 3 to 7 pm.Today's Co-Hosts: Ben Criddle (@criddlebenjamin)Subscribe to the Cougar Sports with Ben Criddle podcast:Apple Podcastshttps://itunes.apple.com/us/podcast/cougar-sports-with-ben-criddle/id99676
Mathew Crawford discusses his research into Covid-19 and bacteriological warfare, his discovery how some in the Medical Freedom Movement (MFM) don't seem to be fighting for freedom, and how this led him to discover links between alternative media, fake opposition, the occult, and military-intelligence. He looks into theosophy, Nazism, Scientology, Falun Gong, 1960s counter-culture, MK-ULTRA, the Office of Naval Intelligence, and the plans for a New World Order. He believes independence movements (e.g. India) were steered. He questions Bitcoin and says that the military-occult-banking-syndicate virtually has all the power. We are in a pickle! Watch on BitChute / Brighteon / Rokfin / Rumble / Substack Geopolitics & Empire · Matthew Crawford: The Military-Occult-Banking-Syndicate Has All the Power #433 *Support Geopolitics & Empire! Donate https://geopoliticsandempire.com/donationsConsult https://geopoliticsandempire.com/consultationBecome a Member https://geopoliticsandempire.substack.comBecome a Sponsor https://geopoliticsandempire.com/sponsors **Visit Our Affiliates & Sponsors! Above Phone https://abovephone.com/?above=geopoliticsBorderless Mexico Expat Health Insurance https://beacons.ai/jamesguzmanLegalShield https://hhrvojemoric.wearelegalshield.comWise Wolf Gold https://www.wolfpack.gold/?ref=geopolitics Websites Substack https://roundingtheearth.substack.com X https://x.com/EduEngineer Mathew Crawford on Courtenay Turner Podcast https://rumble.com/v4x4fj9-ep.407-neo-theosophical-cults-and-intelligence-ops-w-mathew-crawford-courte.html About Mathew Crawford Mathew Crawford is an Educator, Entrepreneur, Statistician, Finance Specialist, and Founder of Rounding the Earth. *Podcast intro music is from the song "The Queens Jig" by "Musicke & Mirth" from their album "Music for Two Lyra Viols": http://musicke-mirth.de/en/recordings.html (available on iTunes or Amazon)
In this week's “Throwback Thursday / Where are they now?” segment, we hear from a statistician turned fantasy sports strategist, who leverages his knack for numbers to launch an analytics business. Side Hustle School features a new episode EVERY DAY, featuring detailed case studies of people who earn extra money without quitting their job. This year, the show includes free guided lessons and listener Q&A several days each week. Show notes: SideHustleSchool.com Email: team@sidehustleschool.com Be on the show: SideHustleSchool.com/questions Connect on Instagram: @193countries Visit Chris's main site: ChrisGuillebeau.com Read A Year of Mental Health: yearofmentalhealth.substack.com If you're enjoying the show, please pass it along! It's free and has been published every single day since January 1, 2017. We're also very grateful for your five-star ratings—it shows that people are listening and looking forward to new episodes.
PREVIEW:#GAZA: #HAMAS: Excerpt from a conversation with Professor of Statistics and Data at Wharton School of the University of Pennsylvania Abraham Wyner re the casualties reports by the Gaza-based Hamas Healthy Ministry that to a statistician's eye suggest fraud-- the professor explains. More later. https://www.tabletmag.com/sections/news/articles/how-gaza-health-ministry-fakes-casualty-numbers 1920 Gaza
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