[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-05-27-extreme-span-v2-en-US":3,"reports-algorithms":40},{"slug":4,"type":5,"extremeSubtype":6,"publishAt":7,"updateTime":7,"coverImage":8,"viewCount":9,"title":10,"metaTitle":11,"metaDesc":12,"summary":13,"content":14,"readMinutes":15,"related":16},"2026-05-27-extreme-span-v2","extreme","E4","2026-05-27 07:44:49","\u002Fstatic\u002Fog\u002F2026-05-27-extreme-span-v2.jpg",0,"Rare Span Extreme Value of 9 Appears!","Canada 28 Rare Span Extreme Value of 9 Appears","On May 27, 2026, Canada 28 draw #3437508 recorded a rare span extreme value of 9, with a theoretical probability of just 0.37%. The last occurrence was only an hour prior.","Canada 28 draw #3437508 featured a rare span extreme value of 9, with a theoretical probability of only 0.37%, making it an extraordinary event.","## Quick Report on Span Extreme Value Event\n\nYesterday's Canada 28 data shows that on May 27, 2026, at 07:41:30, draw #3437508 recorded an exceptionally rare span extreme value—where the span of the three numbers reached the maximum of 9. The winning numbers for this draw were 0, 5, and 9, resulting in the largest possible difference between the three numbers.\n\n### Rarity Analysis\n\nStatistically, the probability of achieving a span extreme value of 9 is only 0.37%, making this an exceptionally rare occurrence. The previous instance was recorded on the same day at 06:27:53, just an hour earlier. Such phenomena are exceedingly uncommon in long-term statistical observations.\n\n### Further Insights\n\nSpan extreme values pose significant challenges to prediction models. Could higher-precision algorithms potentially anticipate such events? This is a topic worth exploring!",3,[17,25,34],{"slug":18,"type":5,"extremeSubtype":19,"publishAt":20,"coverImage":21,"viewCount":9,"title":22,"summary":23,"readMinutes":24},"2026-06-03-extreme-triple-5","E1","2026-06-03 02:01:48","\u002Fstatic\u002Fog\u002F2026-06-03-extreme-triple-5.jpg","Rare Triple Number Emerges: 5+5+5 Stuns in Canada 28","Today's Canada 28 draw 3440224 featured the rare triple number 5+5+5, with an extreme probability of only 1%, marking the second consecutive day of such phenomena.",2,{"slug":26,"type":27,"extremeSubtype":28,"publishAt":29,"coverImage":30,"viewCount":9,"title":31,"summary":32,"readMinutes":33},"2026-06-02-extreme-events","daily",null,"2026-06-03 00:30:00","\u002Fstatic\u002Fog\u002F2026-06-02-extreme-events.jpg","Rare Triple Numbers Appear Frequently, AI Algorithm Shines","Yesterday's Canada 28 draws featured three rare triple numbers, while AI algorithms achieved an impressive 41.6% hit rate, showcasing remarkable performance.",8,{"slug":35,"type":5,"extremeSubtype":19,"publishAt":36,"coverImage":37,"viewCount":9,"title":38,"summary":39,"readMinutes":24},"2026-06-02-extreme-triple-7","2026-06-02 16:43:49","\u002Fstatic\u002Fog\u002F2026-06-02-extreme-triple-7.jpg","Rare Triple Number Appears: 7+7+7 Stuns in Draw","Draw #3440074 of Canada 28 featured the rare triple number 7+7+7, with a theoretical probability of just 1%, making it an exceptional occurrence.",[41,47,52,57,63,69,75,81,86,92,98,104,110,116,122,128,134,140,145,151,157,163,169,175,181,187,193,199,205,211],{"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":24},"deep_neural_network","深度神经网络","深度神經網路","Deep Neural Network",{"code":53,"nameZhCn":54,"nameZhTw":55,"nameEnUs":56,"sortOrder":15},"genetic_evolution","遗传进化算法","遺傳進化演算法","Genetic Evolution Algorithm",{"code":58,"nameZhCn":59,"nameZhTw":60,"nameEnUs":61,"sortOrder":62},"markov_chain","马尔可夫链","馬可夫鏈","Markov Chain",4,{"code":64,"nameZhCn":65,"nameZhTw":66,"nameEnUs":67,"sortOrder":68},"deep_learning","深度学习","深度學習","Deep Learning",5,{"code":70,"nameZhCn":71,"nameZhTw":72,"nameEnUs":73,"sortOrder":74},"bayesian","贝叶斯推理","貝氏推論","Bayesian Inference",6,{"code":76,"nameZhCn":77,"nameZhTw":78,"nameEnUs":79,"sortOrder":80},"random_forest","随机森林","隨機森林","Random Forest",7,{"code":82,"nameZhCn":83,"nameZhTw":84,"nameEnUs":85,"sortOrder":33},"lstm","LSTM 长短期记忆","LSTM 長短期記憶","LSTM Network",{"code":87,"nameZhCn":88,"nameZhTw":89,"nameEnUs":90,"sortOrder":91},"monte_carlo","蒙特卡洛模拟","蒙地卡羅模擬","Monte Carlo Simulation",9,{"code":93,"nameZhCn":94,"nameZhTw":95,"nameEnUs":96,"sortOrder":97},"clustering","聚类追踪","聚類追蹤","Cluster Tracking",10,{"code":99,"nameZhCn":100,"nameZhTw":101,"nameEnUs":102,"sortOrder":103},"volatility","波动率","波動率","Volatility",11,{"code":105,"nameZhCn":106,"nameZhTw":107,"nameEnUs":108,"sortOrder":109},"edge_value","边缘值","邊緣值","Edge Value",12,{"code":111,"nameZhCn":112,"nameZhTw":113,"nameEnUs":114,"sortOrder":115},"anti_martingale","反马丁格尔","反馬丁格爾","Anti-Martingale",13,{"code":117,"nameZhCn":118,"nameZhTw":119,"nameEnUs":120,"sortOrder":121},"ensemble_voting","综合投票","綜合投票","Ensemble Voting",14,{"code":123,"nameZhCn":124,"nameZhTw":125,"nameEnUs":126,"sortOrder":127},"momentum","动量加速度","動量加速度","Momentum",15,{"code":129,"nameZhCn":130,"nameZhTw":131,"nameEnUs":132,"sortOrder":133},"quantile","分位数","分位數","Quantile",16,{"code":135,"nameZhCn":136,"nameZhTw":137,"nameEnUs":138,"sortOrder":139},"double_step_transition","双步转移","雙步轉移","Double-Step Transition",17,{"code":141,"nameZhCn":142,"nameZhTw":142,"nameEnUs":143,"sortOrder":144},"local_entropy","局部熵","Local Entropy",18,{"code":146,"nameZhCn":147,"nameZhTw":148,"nameEnUs":149,"sortOrder":150},"residual_trend","残差趋势","殘差趨勢","Residual Trend",19,{"code":152,"nameZhCn":153,"nameZhTw":154,"nameEnUs":155,"sortOrder":156},"streak_length","连势长度","連勢長度","Streak Length",20,{"code":158,"nameZhCn":159,"nameZhTw":160,"nameEnUs":161,"sortOrder":162},"decay_missing","衰减遗漏","衰減遺漏","Decay Missing",21,{"code":164,"nameZhCn":165,"nameZhTw":166,"nameEnUs":167,"sortOrder":168},"rule_voting","规则投票","規則投票","Rule Voting",22,{"code":170,"nameZhCn":171,"nameZhTw":172,"nameEnUs":173,"sortOrder":174},"cold_hot_balance","冷热平衡","冷熱平衡","Cold-Hot Balance",23,{"code":176,"nameZhCn":177,"nameZhTw":178,"nameEnUs":179,"sortOrder":180},"kelly","凯利公式","凱利公式","Kelly Criterion",24,{"code":182,"nameZhCn":183,"nameZhTw":184,"nameEnUs":185,"sortOrder":186},"mean_reversion","均值回归","均值回歸","Mean Reversion",25,{"code":188,"nameZhCn":189,"nameZhTw":190,"nameEnUs":191,"sortOrder":192},"autocorrelation","自相关","自相關","Autocorrelation",26,{"code":194,"nameZhCn":195,"nameZhTw":196,"nameEnUs":197,"sortOrder":198},"fibonacci","斐波那契","費波那契","Fibonacci",27,{"code":200,"nameZhCn":201,"nameZhTw":202,"nameEnUs":203,"sortOrder":204},"miss_chase","遗漏追热","遺漏追熱","Miss Chase",28,{"code":206,"nameZhCn":207,"nameZhTw":208,"nameEnUs":209,"sortOrder":210},"number_combination","数字组合","數字組合","Number Combination",29,{"code":212,"nameZhCn":213,"nameZhTw":214,"nameEnUs":215,"sortOrder":216},"recent_chain","近链推演","近鏈推演","Recent Chain",30]