Counterfactuals Causal inference is easier when the effects are large and sudden. The COVID-19 pandemic and accompanying policy measures caused economic disruption so stark that sophisticated statistical approaches were unnecessary for many questions. For example, unemployment jumped sharply in the early weeks of the pandemic, leaving little room for alternative explanations.
Последние новости。业内人士推荐服务器推荐作为进阶阅读
В США отказались от ответственности за ситуацию на Ближнем Востоке08:28。51吃瓜对此有专业解读
This post was requested by Seth Larson, who asked if I could do a breakdown of dependency cooldowns across package managers. His framing: all tools should support a globally-configurable exclude-newer-than= like 7d, to bring the response times for autonomous exploitation back into the realm of human intervention.
«Радиостанция Судного дня» передала сообщения про неказистого жиротряса20:51