Podcasts about Howson

Technical difficulties may have stopped this one being live, but that wasn't preventing the lads from steering off topic. Stephen Howson and Jay Motty are joined by comedian Kae Kurd to talk conspiracy theories and more on this week's episode of The Brew! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

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.

Today I am joined by Lyndon Howson to discuss the importance of youth governance in the conservation field. Lyndon is an accomplished conservationist, who has worked with the Chester Zoo Youth Board, authored his own novel, and spearheaded a hedgehog conservation campaign. He is fantastic and I am so glad you get to hear all about it absolutely brilliant work! We discuss what the Youth Board does, how you can get involved in youth governance, and the weird and wonderful world of Hedgehogs!Useful LinksDon't forget to subscribe to the podcast and follow us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! We are @PangolinPodcast

It's fair to say that our lads have had insane career changes! Join Jay, Stephen Howson and Trevor Dwyer-Lynch for The Brew! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Click the link below and use the code [PADDOCK45] for 45% OFF your at home test! - https://www.manual.co/testosterone-replacement-therapy/initial-testosterone-blood-test?coupon=PADDOCK45&utm_source=youtube&utm_medium=influencer&utm_campaign=stretfordpaddock It's been a CRAZY 48 hours in the history of Manchester United, as Jim Ratcliffe has two blockbuster interviews, then designs for a new state-of-the-art stadium. Jay, Joe & Gaz Drinkwater break it all down! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Chapters: 0:00 - Video Start 1:02 - New Stadium 16:50 - Manchester Split 20:55 - Stadium Wider Impact 28:46 - Ratcliffe Comments 42:15 - Optimism Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Longtime 3AW contributor John-Michael Howson spoke with Tom Elliott. See omnystudio.com/listener for privacy information.

Are you an educator or course creator looking to deepen audience engagement and convert hesitant learners? In this episode of Launch Your Private Podcast, we coach Alex Howson—medical writer, educator, and founder of Write CME Pro—on designing a private podcast that not only supports health professionals transitioning into freelance medical writing and continuing education but also converts them into loyal clients.Timestamps:[0:00] Introduction to the episode and Alex Howson's niche: Continuing education for healthcare [4:03] Customer journey mapping insights for slow-moving audiences[8:04] Positioning the private podcast as a conversion tool[10:05] Addressing fears in investing in professional development[13:02] Psychological barriers: Needs, beliefs, and career transition fears[17:29] Academic burnout parallels in freelance transitions[21:06] Confidence-building through storytelling and relatable journeys[29:07] Repurposing public content for intimate learning experiences[34:03] Aspirational storytelling via freelance writer interviews[37:05] Validating programs with testimonials and case studies[41:33] Strategic reuse of public content: Accessibility vs. exclusivity[46:07] Closing takeaways and action steps for listenersLinks mentioned:https://www.alexhowson.com/Podcast: Write Medicine Book: WriteCME Roadmap: How to Thrive in CME with No Experience, No Network, and No ClueProgram: WriteCME Pro

Get 20% Off and Free Shipping with the code PADDOCK24 at https://www.manscaped.com As promised, the Gents have been to watch Gladiator 2... It's The Brew what did you expect! Join Ste Howson, Jay and Joe for The Brew LIVE Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Stephen Howson and Joe Smith assess Ruben Amorim's realistic transfer options ahead of the January window! Will United's new boss be allowed to spend big in the new year? Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join 0:00 - Video Start 4:51 - Frimpong 9:20 - Davies 14:19 - Fernandez 19:25 - Gyökeres 24:35 - Inácio 25:18 - Quenda Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code PADDOCK24 at https://www.manscaped.com Join Joe and Jay for a dive into wether Ruud will stay following Amorim's appointment! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

The band are back together! Join them as they break down the key moments from the 3-0 defeat, including Bruno Fernandes' controversial red card. What went wrong for United? How long does ETH have left? Can they bounce back after this setback? Hosted on Acast. See acast.com/privacy for more information.

God is at work in Suffolk as churches work together and reach new areas with the gospel. In this episode of In:Dependence, Joel Murray (FIEC Communications and Media Officer) is joined by Mark Howson (FIEC Director for Suffolk) to discuss church ministry in the county, the opportunities, and the challenges. You can get more resources for church leaders on the FIEC website. About In:Dependence: In:Dependence is FIEC's official podcast, where you'll hear teaching and resources for church leaders from the FIEC Ministry Team and guests from FIEC churches and partners. About FIEC: We are ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠a fellowship of Independent churches⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ with members of the family across England, Scotland and Wales. Our mission is to see those Independent churches working together with a big vision: to reach Britain for Christ. Follow FIEC on social media: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X 00:00 - Mark Howson, Director for Suffolk 06:17 - Life in Suffolk 09:45 - Working with Suffolk churches 13:00 - Ministry opportunities 17:26 - Ministry challenges 25:56 - How to pray for Suffolk

Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com It's TOO EARLY to panic about United and ten Hag, Pundits and fans are fuming with the Reds after their loss to Brighton this weekend. Join Joe, Jay and Ronny for their take on what went wrong! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com Manchester United are enjoying an impressive summer transfer window, but will any of the new signings live up to the hype of previous legends? Join Stephen Howson, Jay Motty & Webby for The Brew! Check out Webby's channel:  @WebbyONeill  Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com It's Matchday and a brand new season for Manchester United is about to be underway! Join a hopeful Jay and Howson for the Brew! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Hear from former Oilers front office member and current President & CEO of the AHL Scott Howson. Learn more about your ad choices. Visit megaphone.fm/adchoices

Soccer Comic Rant #531 UTD vs Arsenal, Premier League Pre-season in American. Mr Stephon Howson. Going to see United at Sofi. How the game went down. Man City isn't buying? We'll tell you why. Low Key Southampton has made tons of moves. United injury's?   Guest  Stephen Howson  https://www.instagram.com/mrstephenhowson?igsh=MzRlODBiNWFlZA==   Ian Edwards https://www.instagram.com/ianedwardsc.. https://twitter.com/IanEdwardsComic http://ianedwardscomedian.com/   Lee Hudson https://www.instagram.com/leehudsonco... https://twitter.com/leehudsoncomedy   Alex Avila https://www.instagram.com/alexinh8?igsh=eXpvZ2kxNnp6ZjBu   Neil Chakravarty https://twitter.com/SawyersLawyer https://www.instagram.com/sawyerslawyer/   Martin Harris https://instagram.com/martin_harrisla?igshid=YmMyMTA2M2Y=   Merch Link OnTheVolleyapparel.com  https://onthevolleyapparel.com/collections/soccer-comic-rant   Aaron Brungardt https://twitter.com/hilAARONous https://www.instagram.com/aaronbrunga

Get an exclusive Surfshark deal! Enter promo code PADDOCK for an extra 3 months free at https://surfshark.deals/PADDOCK Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com The 2024 General Election results, Euro 2024, Manchester United's latest transfer news... Major topics that we may or may not talk about in The Brew. Join Ste & Joe for your weekly dose of nonsense! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

In this episode of the Women Physicians Lead podcast, Dr. Lisa interviews Dr. Alexandra Howson, a CME writer and educator. Dr. Howson shares her career journey from trauma nursing to academia and CME writing. She discusses the importance of leveraging existing skills for career transitions and highlights the diverse roles available in CME for clinicians. Dr. Howson offers practical advice for those interested in medical writing, emphasizing skill assessment and professional networking. The conversation also touches on burnout among healthcare professionals and the significance of self-care, with Dr. Howson sharing her personal strategies for maintaining work-life balance.

Join Joe Smith, Jay Motty, Stephen Howson and Adam Mckola for this weeks episode of Off The Bar as they rank every INEOS decision at Manchester United! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Chapters: 0:00- Video Start 2:40- Keeping Erik ten Hag 8:45- Cutting Costs 12:04- Stadium 21:50- Woman's Team 26:50- New Staff 36:00- New Transfer Policy 45:00- Luke Shaw 48:00- Modern Football Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code DEVILS20 at https://www.manscaped.com Join Joe Smith, Ronaldo Brown and Ryan Hopper for this weeks Paddock Podcast! Chapters: 0:00- Video Start 1:40- New Signings & Age 10:00- Man United signing older players in PL 17:12- Leny Yoro 20:00- Jarred Branthwaite 24:20- Milos Kerkez 28:38- Joshua Zirkzee 31:59- FFP 48:40- Ruud Van Nistelrooy 55:00- Wally Of The Week Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Secure your privacy with Surfshark! Enter coupon code PADDOCK for an extra 4 months free at https://surfshark.deals/paddock Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com Kobbie Mainoo MUST START for England and Gareth Southgate must stop the failing Trent Alexander-Arnold in midfield experiment. Ste & Jay rip into the England manager on today's Brew! Check out SportyTV: https://youtube.com/@sportytvafrica?si=WTd8ABLbGQDxCOr- Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com The lads are joined by everyone's favourite, Webby. Looking at the latest as United unveil plans for a new £50million renovation of the Carrington Training ground by INEOS and Sir Jim Ratcliffe! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com Join Joe Smith and Jay Motty for this week's episode of The Brew! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Join Jay Motty, Joe Smith & Adam Mckola for this Special End Of Season Episode for Off The Bar... KEEP OR SELL! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Chapters: 0:00- Video Start 0:32- Keep or Sell 1:17- Goalkeepers 4:18- Defence 17:42- Midfielders 28:00- Forwards 37:41- Full Squad Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Mike and John are joined by Alex Howson to discuss the field of continuing medical education (CME) and its career opportunities. Alex shares her background as a trauma OR nurse and sociology professor before transitioning into medical writing and specializing in CME. She highlights the importance of empathy and patient perspective in CME writing and emphasizes the transferable skills that clinicians bring to the field. Alex also provides insights into the job market for CME writers and suggests steps for clinicians interested in pursuing a career in CME.

Get 20% Off and Free Shipping with the code DEVILS20 at https://www.manscaped.com Yes, of course we're going to keep milking the FA Cup win! Will Erik ten Hag keep his job? Join Joe, Jay & Ronaldo for the Paddock Podcast! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get an exclusive Surfshark deal! Enter promo code PADDOCK for an extra 3 months free at https://surfshark.deals/PADDOCK Join Jay, Joe and Howson for the Brew with recent news that ten Hag is set to be sacked as Manchester United Manager! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com Join Stephen Howson, Joe McGrath & The Guardian's Jamie Jackson for The Brew! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code PADDOCK20 at https://www.manscaped.com Join Jay Motty and Joe Smith for this Special Episode of Uncensored as the lads look into United's Wage Structure and all Transfers seem to fail! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Chapters: 0:00- Video start 2:02 - Player Wages and Contracts 3:12 - Casemiro 10:10 - Antony 16:02 - INEOS New Wage Strategy 17:51 - Sanchez and Domino Effect 22:30 - Other PL Clubs 32:00 - Players United Missed Out on Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Join Jay Motty, Joe Smith and Ronaldo Brown for the Live Match Review for Manchester United vs Arsenal! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join 0:00 - Video Start 1:55 - Breaking Wrong Records 4:38 - Europeans Spots 5:35 - Individual Performances 10:30 - Missing Players 13:10 - Wan-Bissaka 16:40 - Not Up For It 19:35 - Upcoming Fixtures Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get an exclusive Surfshark deal! Enter promo code PADDOCK for an extra 3 months free at https://surfshark.deals/PADDOCK Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com Join Jay Motty, Ste Howson and legendary reporter Geoff Shreeves for this weeks special episode of The Brew!!  0:00 - Video Start 1:51 - 99' Season 9:37 - Geoff's Podcast 15:10 - Awkward Interviews 20:45 - Sir Alex Encounter 31:55 - Ivanovic Interview 37:50 - Best Managers Interviewed 39:50 - Jose Mourinho 44:40 - Managers Frazzled 49:20 - Sean Dyche 55:50 - Man United Vs Arsenal Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub 

Join us for the Crystal Palace Vs Manchester United match review. Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join 0:00 - Video Start 1:00 - Overall Performance 2:00 - History Repeats Us 5:15 - Does The Team Care? 7:04 - Stats 8:35 - Ten Hag Decision 11:25 - Ruining Youngsters 17:52 - Lack Of Passion 19:90 - Mistakes Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Join Stephen Howson and Joe Smith for this weeks episode of The Brew! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Chapters: Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code DEVILS20 at https://www.manscaped.com Join jay Motty, Joe Smith and Ronaldo Brown for this weeks episode of the Paddock Podcast! Chapters: 0:00- Video Start 3:21- United willing to sell Players 8:00- How much are this squad worth? 11:00- United Player's wages 14:10- What's happened to ten Hag? 14:33- Comparing to Last Season 25:20- Results this Season 31:05- Joe's statement 35:00- Ten Hag's Ajax Team 38:45- Other Manager Signings 42:480 United's Worst Season Post-Fergie Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get an exclusive Surfshark deal! Enter promo code PADDOCK for an extra 3 months free at https://surfshark.deals/PADDOCK Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com Join Stephen Howson, Jay Motty and Webby for plenty of stories of supporting Manchester United! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Download the Greene King app today! www.greeneking.co.uk/live-sport/app WE'RE BACK! ALL OF US! Join Stephen Howson, Adam McKola, Jay Motty and Joe Smith for Off The Bar! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join 0:00 - Video Start 0:30 - Show Starts 1:50 - Best Chants 4:21 - Rodri's Eyebrows & Big Brother 12:58 - Man United 4-2 Sheffield United 21:20 - Ten Hag Sacked? 31:10 - Ten Hag Manager Next Season? 38:48 - Premier League Hall Of Fame 42:37 - Oprah Winfrey 50:03 - Klopp/Fergie Exits Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code DEVILS20 at https://www.manscaped.com Join us for the Paddock Podcast as Jose Mourinho calls out Manchester United players! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.comJust 2 days until our FA Cup semi-final against Coventry! Stephen Howson & Jay Motty reminisce over Manchester United's most memorable FA Cup moments! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join 0:00 - Video Starts 2:00 - Vinny Jones Shooting Animals 10:00 - OAP Caught Out 16:20 - Chinese Ste? 21:00 - Speaking Foreign Languages 29:20 - Best FA Cup MomentsStretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub Follow us over on Twitter: https://twitter.com/StretfordPaddck And on Instagram: https://www.instagram.com/fulltimedevils/ Listen to Our Podcast: https://podfollow.com/stretfordpaddock/ Merchandise: http://www.paddockmerch.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

Download the Greene King app today! www.greeneking.co.uk/live-sport/app Yes, United are bad. But that doesn't mean we can't laugh at our rivals in a week where its all gone wrong for City, Liverpool & Arsenal. Join Stephen Howson, Ronaldo Brown, Jay Motty & David Scott for Off The Bar! 0:00 - Video Start 1:22 - Best Week Of Football? 6:40 - Lose To Coventry? 9:47 - Disrespecting Captains 13:35 - Best Case Scenario 18:25 - Football Is Rubbish 19:30 - If Arsenal Won The League 23:09 - Man City Banner 29:05 - Ste's Stat 31:10 - Schweinsteiger Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub  Follow us over on Twitter: https://twitter.com/StretfordPaddck And on Instagram: https://www.instagram.com/fulltimedevils/ Listen to Our Podcast: https://podfollow.com/stretfordpaddock/ Merchandise: http://www.paddockmerch.com Go ahead and subscribe to get all of the latest Man United news, academy updates, transfer news, Manchester United fan reactions, podcasts, top 5's on all things Man Utd, live watchalongs of Premier League, Champions League and Europa League, Highlights, Review and Analysis. Stretford Paddock began in 2019, but in July 2020 merged with Full Time Devils - the original and best Man United YouTube fan channel - which is why you may see old videos from FTD on this channel, but it's still the same place to get all the MUFC content you know and love, from Howson, McKola, Jay Motty, Joe, and the gang! #ManUnited #ManchesterUnited #MUFC Learn more about your ad choices. Visit podcastchoices.com/adchoices

Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com Get an exclusive Surfshark deal! Enter promo code PADDOCK for an extra 3 months free at https://surfshark.deals/PADDOCK United are down to the bare bones in their defence and it's not great timing! We're not gonna talk about it, anyway. Join Stephen Howson, Jay Motty & Angelina Kelly for The Brew! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code PADDOCK20 at https://www.manscaped.com Join Joe McGrath & Adam Mckola for this week's Uncensored as talk John Murtough, Champions League, United's New Striker, Liverpool's downfall and much more! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Chapters: 0:00- Video Start 1:10- Macca on Food 2:20- Karaoke 5:10- UCL 6:55- Harry Kane 10:45- United vs Arsenal 11:30- New Striker 17:00- Martial 17:40- De Gea 20:50- Sopranos 22:15- John Murtaugh 25:50- Ruben Amorim & Liverpool 30:00- City charges 32:50- Matt Le Tissier Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code DEVILS20 at https://www.manscaped.com Join Jay Motty, Ronaldo Brown, Joe Mcgrath & Sam Marshall for the Paddock Podcast! Become a member! - https://www.youtube.com/channel/UC7w8... Chapters: 0:00- Video Start 8:00- VAR 15:00- Fouls In The box 22:00- Kambwala 24:00- Personality Players 35:00- Erik ten hag 43:50- Wally Of The Week Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Go to beer52.com/paddock and enjoy a Free Case of Beer + £6.95 Postage! Thank you to Beer52 for sponsoring this episode of the Paddock Podcast Terry Christian joins Ste & Jay on The Brew! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub  :iphone: Follow us over on Twitter: https://twitter.com/StretfordPaddck :camera: And on Instagram: https://www.instagram.com/fulltimedevils/ :studio_microphone: Listen to Our Podcast: https://podfollow.com/stretfordpaddock/ :shirt: Merchandise: http://www.paddockmerch.com Go ahead and subscribe to get all of the latest Man United news, academy updates, transfer news, Manchester United fan reactions, podcasts, top 5's on all things Man Utd, live watchalongs of Premier League, Champions League and Europa League, Highlights, Review and Analysis. Stretford Paddock began in 2019, but in July 2020 merged with Full Time Devils - the original and best Man United YouTube fan channel - which is why you may see old videos from FTD on this channel, but it's still the same place to get all the MUFC content you know and love, from Howson, McKola, Jay Motty, Joe, and the gang! #ManUnited #ManchesterUnited #MUFC Learn more about your ad choices. Visit podcastchoices.com/adchoices

Go to beer52.com/paddock and enjoy a Free Case of Beer + £6.95 Postage! Thank you to Beer52 for sponsoring this episode of the Paddock Podcast Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Chapters: 0:00- Video Start 3:00- Brentford Game 7:30- ten Hag's tactics 13:00- Criticising players 18:10- Is this on ten Hag? 22:15- Injuires 26:00- Mainoo 31:00- ten Hag's future 36:00- ten Hag's post match comments Join Jay Motty, Ronaldo Brown and special guest Jønathan Shrager for this weeks episode of the Paddock Podcast! Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com Join Jay Motty, Stephen Howson and special guest Michael Crick for an exclusive episode of The Brew! Chapters: 0:00- Video Start 2:40- Beginning of Campaign 5:45- Brining the fans together 11:00- Beating Sky! 12:12- backlash from United Fans 14:45- Fans buying United 17:00- The Rock of Gibraltar 22:20- The Glazers 25:00- Matt Busby: The Betrayal of a Legend 29:08- Ferguson in favour of Sky 30:00- Martin Edwards Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Download the Greene King app today! www.greeneking.co.uk/live-sport/app Rumours of Gareth Southgate joining Manchester United have now TURNED with the latest reports saying he could replace Jurgen Klopp at Liverpool! It's news that excites Stephen Howson, Jay Motty & David Scott! Join us for Off The Bar! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join 0:00 - Video Start 2:53 - Mainoo 15:18 - Rashford 19:00 - Southgate To Liverpool/ 26:13 - Next Match 28:00 - Evans 31:55 - Diallo 33:40 - Antony 33:27 - Todibo 35:27 - Martinez Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub  :iphone: Follow us over on Twitter: https://twitter.com/StretfordPaddck :camera: And on Instagram: https://www.instagram.com/fulltimedevils/ :studio_microphone: Listen to Our Podcast: https://podfollow.com/stretfordpaddock/ :shirt: Merchandise: http://www.paddockmerch.com Go ahead and subscribe to get all of the latest Man United news, academy updates, transfer news, Manchester United fan reactions, podcasts, top 5's on all things Man Utd, live watchalongs of Premier League, Champions League and Europa League, Highlights, Review and Analysis. Stretford Paddock began in 2019, but in July 2020 merged with Full Time Devils - the original and best Man United YouTube fan channel - which is why you may see old videos from FTD on this channel, but it's still the same place to get all the MUFC content you know and love, from Howson, McKola, Jay Motty, Joe, and the gang! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Get an exclusive Surfshark deal! Enter promo code PADDOCK for an extra 3 months free at https://surfshark.deals/PADDOCK Get 20% Off and Free Shipping with the code HOWSON at https://www.manscaped.com Join Jay Motty & Ryan Hopper for The Brew as we talk some nonsense and Manchester United! It's time for The Brew. Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub