[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-10-11-extreme-triple-zero-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-zero","extreme","E1","2026-10-11 11:56:49","\u002Fstatic\u002Fog\u002F2026-10-11-extreme-triple-zero.jpg",0,"Canada 28 Triple Number 000 Reappears, Rare 1% Probability","Canada 28 Triple Number 000 Reappears, Theoretical Probability Only 1%","Canada 28's draw #3492654 features the rare triple number 000 again, with a theoretical probability of just 1%. This occurrence follows the previous one by only an hour, showcasing an unusual short-term trend.","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.","## Rare Event in Canada 28: Triple Number 000 Reappears\n\nAccording to our data, on October 11, 2026, at 11:53 AM, Canada 28's draw #3492654 resulted in the triple number 000. This outcome has a theoretical probability of just 1%, sparking discussions about the randomness of such rare events.\n\n## Quick Recap: Just an Hour Apart\n\nRecords indicate that this is the second occurrence of the triple number 000 on the same day, with the previous instance appearing only about an hour earlier in draw #3492653. Such back-to-back occurrences are exceptionally rare and noteworthy.\n\n## Further Observation: Any Patterns?\n\nWhether the continuity of such rare events hints at underlying patterns remains to be seen. Further data analysis is required to draw any conclusions.",3,[17,25,31],{"slug":18,"type":5,"extremeSubtype":19,"publishAt":20,"coverImage":21,"viewCount":9,"title":22,"summary":23,"readMinutes":24},"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.",2,{"slug":26,"type":5,"extremeSubtype":19,"publishAt":27,"coverImage":28,"viewCount":9,"title":29,"summary":30,"readMinutes":24},"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.",{"slug":32,"type":5,"extremeSubtype":6,"publishAt":33,"coverImage":34,"viewCount":9,"title":35,"summary":36,"readMinutes":15},"2026-10-11-extreme-triple-0","2026-10-11 10:46:47","\u002Fstatic\u002Fog\u002F2026-10-11-extreme-triple-0.jpg","Canada 28 Triple Number 000 Appears Again","Draw #3492634 of Canada 28 featured the rare triple number 000, with a 1% probability, sparking significant discussion.",[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":24},"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":15},"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]