[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-10-12-extreme-triple-zero-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},"2026-10-12-extreme-triple-zero","extreme","E1","2026-10-12 15:23:15","\u002Fstatic\u002Fog\u002F2026-10-12-extreme-triple-zero.jpg",0,"Canada 28 Triple Number 000 Appears, Probability Only 1%","Canada 28 Triple Number 000 Appears, Extreme Event Probability Only 1%","On October 12, 2026, draw #3493115 of Canada 28 revealed the rare triple number 000, with a probability of just 1%. This extreme event occurred less than 9 hours after the last one.","In draw #3493115, Canada 28 produced the rare triple number 000, an extreme event with a probability as low as 1%.","## Rare Triple Number 000 Appears\n\nAccording to data from Canada 28, the draw #3493115 on October 12, 2026, at 3:20 PM revealed the rare triple number 000. This result, formed by three identical numbers, has a theoretical probability of just 1%, making it one of the rarest extreme events.\n\n## Comparison with Historical Records\n\nStatistics show that the last occurrence of a triple number happened earlier the same day at 6:38 AM during draw #3493112, with a gap of less than 9 hours. Such frequent occurrences of identical numbers are astonishing, as typically, hundreds or even thousands of draws would pass before such a result reappears.\n\n## Further Observations\n\nDoes the recent frequency of extreme events hint at an underlying pattern? This question warrants ongoing attention and deeper data analysis.",3,[17,25,31],{"slug":18,"type":5,"extremeSubtype":19,"publishAt":20,"coverImage":21,"viewCount":9,"title":22,"summary":23,"readMinutes":24},"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.",2,{"slug":26,"type":5,"extremeSubtype":6,"publishAt":27,"coverImage":28,"viewCount":9,"title":29,"summary":30,"readMinutes":15},"2026-10-12-extreme-triple-three","2026-10-12 06:38:20","\u002Fstatic\u002Fog\u002F2026-10-12-extreme-triple-three.jpg","Canada 28 Triple Number 333 Appears with Just 1% Probability","In draw #3492965 of Canada 28, the rare triple number 333 emerged, surprising everyone with its 1% probability.",{"slug":32,"type":33,"extremeSubtype":34,"publishAt":35,"coverImage":36,"viewCount":9,"title":37,"summary":38,"readMinutes":39},"2026-10-11-week-ai-hot-analysis","weekly",null,"2026-10-12 00:35:00","\u002Fstatic\u002Fog\u002F2026-10-11-week-ai-hot-analysis.jpg","Canada 28 AI Performance and Extreme Events Analysis This Week","This week, Canada 28 showcased fluctuating data, with AI algorithms leading the way. The 'Local Entropy' algorithm achieved an accuracy of 45.71%. Rare events, such as the triple '777', sparked discussions.",9,[41,47,52,57,63,69,75,81,87,92,98,104,110,116,122,128,134,140,145,151,157,163,169,175,181,187,193,199,205,211],{"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":86},"lstm","LSTM 长短期记忆","LSTM 長短期記憶","LSTM Network",8,{"code":88,"nameZhCn":89,"nameZhTw":90,"nameEnUs":91,"sortOrder":39},"monte_carlo","蒙特卡洛模拟","蒙地卡羅模擬","Monte Carlo Simulation",{"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]