我用11个模型预测2026年世界杯，它们给出了四个不同的冠军
英文摘要
The author constructed 11 distinct statistical models to forecast the winner of the 2026 FIFA World Cup. The models yielded four different champion predictions, emphasizing that outcome depends heavily on model design choices. The post serves as a tutorial highlighting the uncertainty inherent in sports forecasting and the danger of relying on a single model's answer.
中文摘要
作者构建了11个不同的统计模型来预测2026年世界杯冠军。这些模型得出了四个不同的冠军预测，强调了结果高度依赖于模型设计选择。该文章作为教程，突显了体育预测中固有的不确定性，以及依赖单一模型答案的风险。
关键要点
Eleven distinct prediction models were built for the 2026 FIFA World Cup.
为2026年世界杯构建了11个不同的预测模型。
The models produced four different predicted champions, illustrating high model uncertainty.
这些模型产生了四个不同的预测冠军，说明了很高的模型不确定性。
The tutorial demonstrates how varying modeling assumptions lead to divergent outcomes.
该教程展示了不同的模型假设如何导致分歧的结果。