[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-10-12-ai-performance-en-US":3,"reports-algorithms":41},{"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},"2026-10-12-ai-performance","daily",null,"2026-10-13 00:30:00","2026-10-13 00:30:18","\u002Fstatic\u002Fog\u002F2026-10-12-ai-performance.jpg",0,"AI Algorithm Shines Yesterday with Extreme Events in Canada 28","Canada 28 Daily: Highlights of AI Algorithm and Extreme Events","Yesterday's Canada 28 saw 402 draws with an AI algorithm accuracy of 41.77%. Extreme events included triple numbers and a rare sum of 0, drawing attention to data fluctuations.","Yesterday's Canada 28 results showcased an AI algorithm accuracy of 41.77%, alongside four extreme events like triple numbers and a rare sum of 0, sparking discussion among enthusiasts.","## Comprehensive Review of AI Algorithm Performance\n\nYesterday's Canada 28 draws, spanning 402 rounds, highlighted the impressive performance of AI algorithms, achieving an average accuracy of 41.77%. This marks a significant point of interest in recent data trends. The top five algorithms—Deep Learning, Monte Carlo, Local Entropy, Kelly Criterion, and Volatility Model—all surpassed a 44% accuracy rate, with Deep Learning leading at 45.4%.\n\nIf we were to grade these results, the Deep Learning algorithm stands out as the top performer, achieving a remarkable 54.98% accuracy in predicting numbers, far exceeding the theoretical random hit rate. On the other hand, the three least effective algorithms—Double-Step Transition, Omission Chasing, and Decay Omission—recorded accuracy rates of 34.2%, 36.51%, and 36.51%, respectively, falling noticeably below the average.\n\n## Frequent Extreme Events: Data Deviations in Focus\n\nYesterday's results also saw four significant extreme events that drew considerable attention. Notably, triple numbers such as 333, 000, and 888 appeared, each with a theoretical probability of just 1%. Their clustered occurrence is akin to sudden peaks. Additionally, Canada 28 witnessed the rare event of a sum dropping to 0, further skewing the data distribution. These statistically significant deviations warrant further observation.\n\n## Hot and Cold Numbers: Temperature of Data\n\nThe most active hot number yesterday was the sum 16, appearing 36 times and accounting for 8.96% of the data, topping the hot number chart. On the cold side, sums 1 and 27 have now gone 230 consecutive rounds without appearing, resembling a frozen state. This extended absence highlights a long-term deviation in data, leaving the question of a potential rebound open.\n\n## Span Distribution: Peaks Amid Balance\n\nThe span distribution formed a unique curve, with span 5 occurring 72 times, the highest frequency, creating a prominent peak. Conversely, span 0 appeared only 4 times, resembling a valley at the bottom. Overall, while the span data distribution appears balanced, localized concentrations merit attention.\n\nWhen visualized, the frequency of different spans resembles an interwoven line of peaks and valleys, reflecting the dynamic nature of number combinations in the draws.",8,[18,27,34],{"slug":19,"type":20,"extremeSubtype":21,"publishAt":22,"coverImage":23,"viewCount":10,"title":24,"summary":25,"readMinutes":26},"2026-10-13-extreme-triple-two","extreme","E1","2026-10-13 07:09:50","\u002Fstatic\u002Fog\u002F2026-10-13-extreme-triple-two.jpg","Canada 28 Triple Number 222 Appears! Probability Only 1%","Canada 28 draw #3493376 featured the rare triple number 222, with a probability of only 1%, marking the second occurrence within 24 hours.",2,{"slug":28,"type":20,"extremeSubtype":21,"publishAt":29,"coverImage":30,"viewCount":10,"title":31,"summary":32,"readMinutes":33},"2026-10-12-extreme-triple-eight","2026-10-12 23:21:07","\u002Fstatic\u002Fog\u002F2026-10-12-extreme-triple-eight.jpg","Canada 28 Triple Number 888 Appears with Just 1% Probability","In draw #3493242, Canada 28 recorded the rare triple number 888, a result with only a 1% probability, appearing twice in one day.",3,{"slug":35,"type":20,"extremeSubtype":36,"publishAt":37,"coverImage":38,"viewCount":10,"title":39,"summary":40,"readMinutes":26},"2026-10-12-extreme-sum-zero","E2","2026-10-12 15:23:26","\u002Fstatic\u002Fog\u002F2026-10-12-extreme-sum-zero.jpg","Rare Event: Canada 28 Sum Drops to 0","Canada 28 draw #3493115 recorded a rare sum of 0, with only a 0.1% chance of happening. The last instance was just a day prior.",[42,48,53,58,64,70,76,82,87,93,99,105,111,117,123,129,135,141,146,152,158,164,170,176,182,188,194,200,206,212],{"code":43,"nameZhCn":44,"nameZhTw":45,"nameEnUs":46,"sortOrder":47},"quantum_probability","量子概率引擎","量子機率引擎","Quantum Probability Engine",1,{"code":49,"nameZhCn":50,"nameZhTw":51,"nameEnUs":52,"sortOrder":26},"deep_neural_network","深度神经网络","深度神經網路","Deep Neural Network",{"code":54,"nameZhCn":55,"nameZhTw":56,"nameEnUs":57,"sortOrder":33},"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]