[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-06-07-week-ai-extreme-data-en-US":3,"reports-algorithms":40},{"slug":4,"type":5,"extremeSubtype":6,"publishAt":7,"updateTime":8,"coverImage":9,"viewCount":10,"title":11,"metaTitle":12,"metaDesc":13,"summary":14,"content":15,"readMinutes":16,"related":17},"2026-06-07-week-ai-extreme-data","weekly",null,"2026-06-08 00:35:00","2026-06-08 00:35:14","\u002Fstatic\u002Fog\u002F2026-06-07-week-ai-extreme-data.jpg",0,"Canada 28 Weekly Review: AI Champion and Extreme Events","Canada 28 Weekly Report: AI Performance and Rare Data Insights","Canada 28 weekly data highlights: AI predictions remain steady, champion algorithm shines; rare events like triple numbers and extreme sums make waves.","This week, Canada 28 witnessed rare occurrences, including triple numbers and extreme sums. The 'local_entropy' algorithm achieved a 45.74% accuracy rate, earning the AI champion title.","## AI Champion Algorithm's Outstanding Performance\n\nYesterday's Canada 28 data highlights showcased impressive results from AI algorithms. In the 2814th draw, overall AI prediction accuracy remained steady. The 'local_entropy' algorithm emerged as this week's champion with a combined accuracy rate of 45.74%, tying with the 'Kelly Formula' algorithm for the top spot.\n\nHere are the key AI performance highlights:\n\n- **local_entropy**: Achieved a 45.74% accuracy rate across 11,256 samples, demonstrating exceptional reliability.\n- **Kelly Formula**: Matched the champion with an identical accuracy rate of 45.74%.\n- **Random Forest**: Secured third place with a 45.37% accuracy rate.\n\n### Characteristics of AI Performance\nThese algorithms particularly excelled in predicting big\u002Fsmall outcomes, with accuracy rates exceeding 51%. Their predictive logic warrants further examination.\n\n---\n\n## Frequent Extreme Events\n\nThis week’s Canada 28 data also recorded several rare occurrences. On June 1, multiple triple numbers, including 1+1+1 and 9+9+9, were drawn, with a theoretical probability of just 1%. Additionally, extreme sum values like 27 and 0 appeared repeatedly.\n\nNotable extreme events include:\n\n- **June 1**: Sum value 27 surfaced, with a probability of only 0.1%.\n- **June 7**: Triple number 0+0+0 reappeared, creating a striking moment.\n\nSuch deviations from theoretical probabilities might be due to small sample sizes in the short term, but they could also hint at underlying patterns that merit ongoing observation.\n\n---\n\n## Data Trend Analysis\n\nDaily data revealed significant fluctuations in big\u002Fsmall and odd\u002Feven ratios:\n\n- **Big\u002FSmall Ratio**: On June 5, the proportion of big numbers peaked at 54.98%, noticeably higher than the theoretical value of 50%.\n- **Odd\u002FEven Ratio**: On June 3, odd numbers dominated at 56.72%, deviating significantly from the average.\n\nWhile these short-term variations may stem from random noise, extended monitoring could help assess their significance.\n\n---\n\n## Hot Numbers and Span Distribution\n\nThis week’s data showed hot numbers clustering around a sum value of 15 (accounting for 7.57%), while span 6 appeared most frequently, representing 15.14% of all draws. These results align with theoretical expectations, further confirming data stability.\n\nAnd that’s all there is to it.",8,[18,27,34],{"slug":19,"type":20,"extremeSubtype":21,"publishAt":22,"coverImage":23,"viewCount":10,"title":24,"summary":25,"readMinutes":26},"2026-07-26-extreme-triple-3","extreme","E1","2026-07-26 07:10:12","\u002Fstatic\u002Fog\u002F2026-07-26-extreme-triple-3.jpg","Shocking! Triple Number 3+3+3 Appears Again","In Canada 28 draw #3461618, the rare triple number 3+3+3 appeared again, an event with a mere 1% probability.",3,{"slug":28,"type":29,"extremeSubtype":6,"publishAt":30,"coverImage":31,"viewCount":10,"title":32,"summary":33,"readMinutes":16},"2026-07-25-ai-performance-review","daily","2026-07-26 00:30:00","\u002Fstatic\u002Fog\u002F2026-07-25-ai-performance-review.jpg","AI Hit Rate Insights: Yesterday's Top Five Algorithms","Yesterday's Canada 28 AI algorithm hit rates revealed close competition among the top five, while the bottom three showed significant fluctuations, drawing attention.",{"slug":35,"type":20,"extremeSubtype":21,"publishAt":36,"coverImage":37,"viewCount":10,"title":38,"summary":39,"readMinutes":26},"2026-07-26-extreme-triple-4","2026-07-26 00:27:40","\u002Fstatic\u002Fog\u002F2026-07-26-extreme-triple-4.jpg","Shocking! Triple Number 4+4+4 Reappears After Just One Day","Canada 28 draw #3461503 showcased the rare triple number 4+4+4, with a theoretical probability of only 1%. This extraordinary event, occurring just one day after the last instance, has stirred significant debate.",[41,47,53,58,64,70,76,82,87,93,99,105,111,117,123,129,135,141,146,152,158,164,170,176,182,188,194,200,206,212],{"code":42,"nameZhCn":43,"nameZhTw":44,"nameEnUs":45,"sortOrder":46},"quantum_probability","量子概率引擎","量子機率引擎","Quantum Probability Engine",1,{"code":48,"nameZhCn":49,"nameZhTw":50,"nameEnUs":51,"sortOrder":52},"deep_neural_network","深度神经网络","深度神經網路","Deep Neural Network",2,{"code":54,"nameZhCn":55,"nameZhTw":56,"nameEnUs":57,"sortOrder":26},"genetic_evolution","遗传进化算法","遺傳進化演算法","Genetic Evolution Algorithm",{"code":59,"nameZhCn":60,"nameZhTw":61,"nameEnUs":62,"sortOrder":63},"markov_chain","马尔可夫链","馬可夫鏈","Markov Chain",4,{"code":65,"nameZhCn":66,"nameZhTw":67,"nameEnUs":68,"sortOrder":69},"deep_learning","深度学习","深度學習","Deep Learning",5,{"code":71,"nameZhCn":72,"nameZhTw":73,"nameEnUs":74,"sortOrder":75},"bayesian","贝叶斯推理","貝氏推論","Bayesian Inference",6,{"code":77,"nameZhCn":78,"nameZhTw":79,"nameEnUs":80,"sortOrder":81},"random_forest","随机森林","隨機森林","Random Forest",7,{"code":83,"nameZhCn":84,"nameZhTw":85,"nameEnUs":86,"sortOrder":16},"lstm","LSTM 长短期记忆","LSTM 長短期記憶","LSTM Network",{"code":88,"nameZhCn":89,"nameZhTw":90,"nameEnUs":91,"sortOrder":92},"monte_carlo","蒙特卡洛模拟","蒙地卡羅模擬","Monte Carlo Simulation",9,{"code":94,"nameZhCn":95,"nameZhTw":96,"nameEnUs":97,"sortOrder":98},"clustering","聚类追踪","聚類追蹤","Cluster Tracking",10,{"code":100,"nameZhCn":101,"nameZhTw":102,"nameEnUs":103,"sortOrder":104},"volatility","波动率","波動率","Volatility",11,{"code":106,"nameZhCn":107,"nameZhTw":108,"nameEnUs":109,"sortOrder":110},"edge_value","边缘值","邊緣值","Edge Value",12,{"code":112,"nameZhCn":113,"nameZhTw":114,"nameEnUs":115,"sortOrder":116},"anti_martingale","反马丁格尔","反馬丁格爾","Anti-Martingale",13,{"code":118,"nameZhCn":119,"nameZhTw":120,"nameEnUs":121,"sortOrder":122},"ensemble_voting","综合投票","綜合投票","Ensemble Voting",14,{"code":124,"nameZhCn":125,"nameZhTw":126,"nameEnUs":127,"sortOrder":128},"momentum","动量加速度","動量加速度","Momentum",15,{"code":130,"nameZhCn":131,"nameZhTw":132,"nameEnUs":133,"sortOrder":134},"quantile","分位数","分位數","Quantile",16,{"code":136,"nameZhCn":137,"nameZhTw":138,"nameEnUs":139,"sortOrder":140},"double_step_transition","双步转移","雙步轉移","Double-Step Transition",17,{"code":142,"nameZhCn":143,"nameZhTw":143,"nameEnUs":144,"sortOrder":145},"local_entropy","局部熵","Local Entropy",18,{"code":147,"nameZhCn":148,"nameZhTw":149,"nameEnUs":150,"sortOrder":151},"residual_trend","残差趋势","殘差趨勢","Residual Trend",19,{"code":153,"nameZhCn":154,"nameZhTw":155,"nameEnUs":156,"sortOrder":157},"streak_length","连势长度","連勢長度","Streak Length",20,{"code":159,"nameZhCn":160,"nameZhTw":161,"nameEnUs":162,"sortOrder":163},"decay_missing","衰减遗漏","衰減遺漏","Decay Missing",21,{"code":165,"nameZhCn":166,"nameZhTw":167,"nameEnUs":168,"sortOrder":169},"rule_voting","规则投票","規則投票","Rule Voting",22,{"code":171,"nameZhCn":172,"nameZhTw":173,"nameEnUs":174,"sortOrder":175},"cold_hot_balance","冷热平衡","冷熱平衡","Cold-Hot Balance",23,{"code":177,"nameZhCn":178,"nameZhTw":179,"nameEnUs":180,"sortOrder":181},"kelly","凯利公式","凱利公式","Kelly Criterion",24,{"code":183,"nameZhCn":184,"nameZhTw":185,"nameEnUs":186,"sortOrder":187},"mean_reversion","均值回归","均值回歸","Mean Reversion",25,{"code":189,"nameZhCn":190,"nameZhTw":191,"nameEnUs":192,"sortOrder":193},"autocorrelation","自相关","自相關","Autocorrelation",26,{"code":195,"nameZhCn":196,"nameZhTw":197,"nameEnUs":198,"sortOrder":199},"fibonacci","斐波那契","費波那契","Fibonacci",27,{"code":201,"nameZhCn":202,"nameZhTw":203,"nameEnUs":204,"sortOrder":205},"miss_chase","遗漏追热","遺漏追熱","Miss Chase",28,{"code":207,"nameZhCn":208,"nameZhTw":209,"nameEnUs":210,"sortOrder":211},"number_combination","数字组合","數字組合","Number Combination",29,{"code":213,"nameZhCn":214,"nameZhTw":215,"nameEnUs":216,"sortOrder":217},"recent_chain","近链推演","近鏈推演","Recent Chain",30]