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Bit Of A Yarn

Chief Stipe

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Chief Stipe last won the day on December 8

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  1. You didn't look at the second metric - yes equal on wins but 10 less runners as of 9 December 2025.
  2. Not if that turnover contributes to negative revenue.
  3. Does it matter? If turnover is UP then that is a positive and should be celebrated.
  4. However the forecast models are significantly more accurate than they were 40 years ago. Their accuracy increases the closer you get to the day or hour. My partner uses the YR weather forecasting model and often I get told that YR says it will be such and such on a specific race day in two months time. I invariably laugh and no matter how hard I try to explain that we have a maritime and very variable weather pattern I cannot move her. As I say to her two weeks out most weather forecasts reach 70% probability or higher. A week out and they are getting close to 90%. If you are deciding what to wear I suggest she waits until the last 48 hours. If she wants to choose earlier I suggest that she at least waits until two weeks out and if there are bargains before then buy a hot and a cold one.
  5. An opinion is subjective. A quantifiable prediction based on data past and present with an estimate of probability is different. If I say that based on the data I have I predict in will rain within one hour and that prediction has a 90% chance of happening. Then I can measure the outcome against that prediction. I'm saying that 9 times out of 10 I'll be right. But if I say Gammalite will win the first at Addington but offer no data supporting my selection and probability of it happening then it's just a hunch i.e. a subjective opinion.
  6. Damn so @Huey 's posts could still be counted!!
  7. Yes and no - the intial algorithms to start AI - machine learning are designed by humans. However the computational power is being used by machines to rewrite those algorithms. No - if AI says there is a 90% chance that it will rain within an hour that isn't opinion it is a prediction based on past observations and recorded data i.e. facts. The worst thing about AI at the moment is that it is much of what is produced doesn't come with its own measure of accuracy and variance. So
  8. Only if that data was consistently and accurately collected. Many punters do it programmatically. The advantage to them of AI is machine learning and the ability of higher performance computers to tweak the punters algorithm. I'm disappointed @hesi that someone of your science background would fall for observational bias. The fact your algorithm didn't pick it up in the first place would suggest that you have subjectively chosen a factor to justify the result. AI would probably work best when ALL data was available but in racing the data/information available is imperfect.
  9. How does AI differentiate between fact and opinion?
  10. should bookmakers use Artificial Intelligence Yes, bookmakers are actively using Artificial Intelligence (AI), and its adoption has become an industry standard for maintaining a competitive edge and operational efficiency . AI helps them set more accurate odds, manage financial risk, detect fraud, and personalize the user experience. Key Uses of AI by Bookmakers Odds Calibration and Predictive Analytics: Bookmakers use sophisticated AI and machine learning models to analyze vast datasets—including historical performance, real-time game data, weather, injuries, and even social media sentiment—to calculate dynamic win probabilities and set odds with greater precision than human traders could achieve manually. This helps maintain the house's margin and reduces exposure to unexpected results. Risk Management: AI systems constantly monitor betting patterns across millions of users to manage their overall financial risk. If a large amount of money is placed on one outcome, the AI can automatically adjust the odds to balance the book. Fraud Detection and Security: AI is a primary defense against match-fixing, money laundering, and bonus abuse. It identifies anomalous or suspicious betting patterns that might indicate foul play, such as coordinated activity among different accounts or bets placed just before an in-game event. Personalization and Engagement: AI analyzes individual user behavior (betting frequency, preferred sports/bet types, emotional responses) to provide a tailored experience. This can involve personalized bet suggestions, curated home screens, and targeted promotions, which boost user engagement and retention. Responsible Gambling: The same behavioral analytics used for engagement can also be applied to identify early warning signs of problem gambling. AI systems can flag unusual behavior, such as sudden increases in stakes or chasing losses, and trigger automated interventions like reminders, personalized "pause" messages, or temporary account limits to prevent harm. These articles explore how AI is revolutionizing sports betting through predictive analytics, real-time odds, fraud detection, and personalized user experiences. AI Sports Betting Revolution: How GenAI Is Generating 300 ... Nov 12, 2025 — From mainstream sportsbooks to cutting-edge betting apps, AI-driven tools are now table stakes for success, fundamenta... WSC Sports AI in Sports Betting: Use Cases - Software Mind Oct 29, 2025 — * Can you use AI for sports betting? Yes, using AI for sports betting is not only possible but has become the industry... Software Mind Ethical and Regulatory Considerations The use of AI presents significant ethical challenges. There are concerns that AI-driven personalization could be used to exploit vulnerable individuals or keep gamblers "hooked". Regulators in various jurisdictions, such as the EU, are classifying some AI gambling applications as "high-risk," requiring greater transparency and auditability. The industry faces pressure to use AI responsibly and transparently, balancing commercial performance with player safety and regulatory compliance.
  11. I just asked Gemini (Google AI) how to improve horse performance: Improving racehorse performance is a multi-faceted process that depends on optimizing several interconnected factors, including genetics, physical conditioning, nutrition, veterinary care, psychology, and management. Genetics and Breeding Genetics is the foundation of a racehorse's potential, determining inherent traits like speed, stamina, and body type. Selective Breeding: Meticulous selection of a sire and dam with proven track records and desirable traits is the primary method for producing offspring with a high potential for success. Genetic Testing: Modern genetic tests can identify specific genes, such as the myostatin gene variants, which help predict the horse's optimal race distance (sprinter vs. stayer). Physical Conditioning and Training Proper training builds upon the horse's genetic potential, developing cardiovascular, muscular, and skeletal systems while minimizing injury risk. Progressive Loading: Training intensity, frequency, and duration must be gradually increased to allow the horse's body to adapt and build fitness. Varied Workouts: A mix of exercises, including long, slow distance work (endurance), high-intensity speed work/sprints (anaerobic capacity), and hill work, is essential for overall fitness. Warm-up and Cool-down: Essential routines before and after exercise prevent injury and aid in faster recovery by clearing lactic acid from the muscles. Rest and Recovery: Adequate rest time between sessions is as important as the training itself. Overtraining leads to fatigue, injury, and a decline in performance. Nutrition and Diet Food is the fuel for performance. A balanced diet tailored to the horse's activity level is critical for providing energy, building muscle, and supporting overall health. Balanced Diet: The diet should contain a proper balance of high-quality forage, concentrates (grains, fats, carbohydrates), proteins, vitamins, and minerals. Hydration and Electrolytes: Consistent access to fresh, clean water is vital. High-performance horses lose significant minerals (electrolytes) through sweat and require supplementation to maintain fluid balance and prevent dehydration. Timing of Meals: Feeding routines matter. Large grain meals should be avoided immediately before intense exercise to prevent digestive upset and ensure optimal fuel availability. Health, Care, and Management Consistent care and a supportive environment directly influence a horse's ability to train and compete at a high level. Veterinary Care: Regular check-ups, vaccinations, deworming, and prompt injury treatment ensure the horse remains sound and healthy. Hoof Care: Proper farrier care and shoeing techniques are crucial for maintaining good conformation and preventing lameness. Proper Equipment: Well-fitting saddles and bridles prevent discomfort and injury, allowing the horse to move freely and perform optimally. Mental Well-being: A horse's mental state affects its performance. A calm, confident horse that is exposed to varied stimuli and a consistent routine is more likely to perform well. External Factors and Strategy Environmental conditions and the human partners involved also play a role in race-day success. Track and Weather Conditions: Some horses perform better on certain track surfaces (dirt, turf, synthetic) or in specific weather. Trainers and jockeys must adapt their strategies accordingly. Rider/Jockey Expertise: A skilled jockey understands the horse's capabilities, communicates effectively using subtle aids, and employs the right race strategy to maximize performance.
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