[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-10-11-extreme-triple-2-en-US":3,"reports-algorithms":37},{"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},"2026-10-11-extreme-triple-2","extreme","E1","2026-10-11 08:37:22","\u002Fstatic\u002Fog\u002F2026-10-11-extreme-triple-2.jpg",0,"Canada 28 Triple Number 222 Appears with Just a 1% Probability","Canada 28 Rare Event: Triple Number 222 Emerges with 1% Probability","On October 11, 2026, in draw #3492597, Canada 28 unveiled the rare triple number 222, with just a 1% probability. This follows yesterday's triple number 666 in draw #3492596.","Canada 28 draw #3492597 revealed the rare triple number 222, with a theoretical probability of just 1%. This marks an unusual back-to-back occurrence of such events.","## Rare Event: Canada 28 Triple Number 222 Appears\n\nAccording to our data, on October 11, 2026, at 8:34 AM, Canada 28 draw #3492597 resulted in the triple number 222, with all three balls showing the same number for a total sum of 6. Such an outcome has a theoretical probability of just 1%, making it an exceptionally rare phenomenon.\n\nStatistics indicate that a similar event occurred just yesterday (October 10, 2026) in draw #3492596, which featured the triple number 666. The interval between these two occurrences was merely one draw, drawing significant attention to this unusual pattern.\n\nFurther analysis is needed to determine whether the frequency of such rare events has been increasing in recent years.",2,[17,24,31],{"slug":18,"type":5,"extremeSubtype":19,"publishAt":20,"coverImage":21,"viewCount":9,"title":22,"summary":23,"readMinutes":15},"2026-10-11-extreme-sum-zero-v2","E2","2026-10-11 11:56:58","\u002Fstatic\u002Fog\u002F2026-10-11-extreme-sum-zero-v2.jpg","Canada 28 Draw #3492654 Hits a Total Sum of 0","Canada 28 draw #3492654 recorded an extremely rare total sum of 0, with a probability of just 0.1%. The last similar result occurred in draw #3492637.",{"slug":25,"type":5,"extremeSubtype":6,"publishAt":26,"coverImage":27,"viewCount":9,"title":28,"summary":29,"readMinutes":30},"2026-10-11-extreme-triple-zero","2026-10-11 11:56:49","\u002Fstatic\u002Fog\u002F2026-10-11-extreme-triple-zero.jpg","Canada 28 Triple Number 000 Reappears, Rare 1% Probability","Canada 28's draw #3492654 featured the rare triple number 000, with a theoretical probability of just 1%. This marks the second occurrence within an hour.",3,{"slug":32,"type":5,"extremeSubtype":19,"publishAt":33,"coverImage":34,"viewCount":9,"title":35,"summary":36,"readMinutes":15},"2026-10-11-extreme-sum-zero","2026-10-11 10:46:56","\u002Fstatic\u002Fog\u002F2026-10-11-extreme-sum-zero.jpg","Canada 28 Hits Rare Sum 0 Again","On October 11, JND28 draw #3492634 recorded an extremely rare sum of 0, with a theoretical probability of only 0.1%, marking the second occurrence in just two days.",[38,44,49,54,60,66,72,78,84,90,96,102,108,114,120,126,132,138,143,149,155,161,167,173,179,185,191,197,203,209],{"code":39,"nameZhCn":40,"nameZhTw":41,"nameEnUs":42,"sortOrder":43},"quantum_probability","量子概率引擎","量子機率引擎","Quantum Probability Engine",1,{"code":45,"nameZhCn":46,"nameZhTw":47,"nameEnUs":48,"sortOrder":15},"deep_neural_network","深度神经网络","深度神經網路","Deep Neural Network",{"code":50,"nameZhCn":51,"nameZhTw":52,"nameEnUs":53,"sortOrder":30},"genetic_evolution","遗传进化算法","遺傳進化演算法","Genetic Evolution Algorithm",{"code":55,"nameZhCn":56,"nameZhTw":57,"nameEnUs":58,"sortOrder":59},"markov_chain","马尔可夫链","馬可夫鏈","Markov Chain",4,{"code":61,"nameZhCn":62,"nameZhTw":63,"nameEnUs":64,"sortOrder":65},"deep_learning","深度学习","深度學習","Deep Learning",5,{"code":67,"nameZhCn":68,"nameZhTw":69,"nameEnUs":70,"sortOrder":71},"bayesian","贝叶斯推理","貝氏推論","Bayesian Inference",6,{"code":73,"nameZhCn":74,"nameZhTw":75,"nameEnUs":76,"sortOrder":77},"random_forest","随机森林","隨機森林","Random Forest",7,{"code":79,"nameZhCn":80,"nameZhTw":81,"nameEnUs":82,"sortOrder":83},"lstm","LSTM 长短期记忆","LSTM 長短期記憶","LSTM Network",8,{"code":85,"nameZhCn":86,"nameZhTw":87,"nameEnUs":88,"sortOrder":89},"monte_carlo","蒙特卡洛模拟","蒙地卡羅模擬","Monte Carlo Simulation",9,{"code":91,"nameZhCn":92,"nameZhTw":93,"nameEnUs":94,"sortOrder":95},"clustering","聚类追踪","聚類追蹤","Cluster Tracking",10,{"code":97,"nameZhCn":98,"nameZhTw":99,"nameEnUs":100,"sortOrder":101},"volatility","波动率","波動率","Volatility",11,{"code":103,"nameZhCn":104,"nameZhTw":105,"nameEnUs":106,"sortOrder":107},"edge_value","边缘值","邊緣值","Edge Value",12,{"code":109,"nameZhCn":110,"nameZhTw":111,"nameEnUs":112,"sortOrder":113},"anti_martingale","反马丁格尔","反馬丁格爾","Anti-Martingale",13,{"code":115,"nameZhCn":116,"nameZhTw":117,"nameEnUs":118,"sortOrder":119},"ensemble_voting","综合投票","綜合投票","Ensemble Voting",14,{"code":121,"nameZhCn":122,"nameZhTw":123,"nameEnUs":124,"sortOrder":125},"momentum","动量加速度","動量加速度","Momentum",15,{"code":127,"nameZhCn":128,"nameZhTw":129,"nameEnUs":130,"sortOrder":131},"quantile","分位数","分位數","Quantile",16,{"code":133,"nameZhCn":134,"nameZhTw":135,"nameEnUs":136,"sortOrder":137},"double_step_transition","双步转移","雙步轉移","Double-Step Transition",17,{"code":139,"nameZhCn":140,"nameZhTw":140,"nameEnUs":141,"sortOrder":142},"local_entropy","局部熵","Local Entropy",18,{"code":144,"nameZhCn":145,"nameZhTw":146,"nameEnUs":147,"sortOrder":148},"residual_trend","残差趋势","殘差趨勢","Residual Trend",19,{"code":150,"nameZhCn":151,"nameZhTw":152,"nameEnUs":153,"sortOrder":154},"streak_length","连势长度","連勢長度","Streak Length",20,{"code":156,"nameZhCn":157,"nameZhTw":158,"nameEnUs":159,"sortOrder":160},"decay_missing","衰减遗漏","衰減遺漏","Decay Missing",21,{"code":162,"nameZhCn":163,"nameZhTw":164,"nameEnUs":165,"sortOrder":166},"rule_voting","规则投票","規則投票","Rule Voting",22,{"code":168,"nameZhCn":169,"nameZhTw":170,"nameEnUs":171,"sortOrder":172},"cold_hot_balance","冷热平衡","冷熱平衡","Cold-Hot Balance",23,{"code":174,"nameZhCn":175,"nameZhTw":176,"nameEnUs":177,"sortOrder":178},"kelly","凯利公式","凱利公式","Kelly Criterion",24,{"code":180,"nameZhCn":181,"nameZhTw":182,"nameEnUs":183,"sortOrder":184},"mean_reversion","均值回归","均值回歸","Mean Reversion",25,{"code":186,"nameZhCn":187,"nameZhTw":188,"nameEnUs":189,"sortOrder":190},"autocorrelation","自相关","自相關","Autocorrelation",26,{"code":192,"nameZhCn":193,"nameZhTw":194,"nameEnUs":195,"sortOrder":196},"fibonacci","斐波那契","費波那契","Fibonacci",27,{"code":198,"nameZhCn":199,"nameZhTw":200,"nameEnUs":201,"sortOrder":202},"miss_chase","遗漏追热","遺漏追熱","Miss Chase",28,{"code":204,"nameZhCn":205,"nameZhTw":206,"nameEnUs":207,"sortOrder":208},"number_combination","数字组合","數字組合","Number Combination",29,{"code":210,"nameZhCn":211,"nameZhTw":212,"nameEnUs":213,"sortOrder":214},"recent_chain","近链推演","近鏈推演","Recent Chain",30]