May 3 · 18 min read · TLDR: Physical clocks on distributed machines cannot be perfectly synchronized. NTP keeps them within tens to hundreds of milliseconds in normal conditions — but under load, across datacenters, or after a VM pause, the drift can reach seconds. When s...
Join discussionFeb 23 · 1 min read · This article provides a deep analysis of Judea Pearl's Ladder of Causality, challenging contemporary approaches to data analysis. The text explains why traditional statistics and machine learning, based primarily on correlation, are insufficient for ...
Join discussionJan 4 · 6 min read · Distributed systems force engineers to confront an uncomfortable fact: time is unreliable. On a single machine, time.Now() feels good enough. Across regions, networks, and failure modes, it quickly becomes a source of subtle, expensive bugs. This po...
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Aug 29, 2022 · 4 min read · In the data analysis and decision sector the terms correlation and causation are quite often confused, however, they are not synonyms, and here are the reasons why: TL;DR A correlation does not imply causation, but causation always implies correlati...
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