Taeho Kim
Menu
HomeWritingNotesReadingAbout
KOEN

Cassie Kozyrkov's practical guide to learning statistics effectively -- what to focus on, what to skip, common mistakes, and how to build real analytical skills without getting lost in theory.

Related writing

Harvest•AI · Data & Decision-Making•English

AI Arbitrage in the Age of Bots

AI is compressing old arbitrage windows and creating new ones at the same time. The Polymarket bot example shows how quickly speed, reasoning, and discipline gaps can now turn into economic advantage.

Apr 8, 2026Read more
Harvest•Data & Decision-Making•English

Silicon Sampling Could Break Public Polling

This essay warns that AI-generated survey responses are not a harmless shortcut. Treating simulated opinion as public opinion could deepen distrust, distort media narratives, and damage democratic decision-making.

Apr 7, 2026Read more
Harvest•Engineering Leadership · AI•English

Why Agent-Era Skill Standardization Changes Everything

A walkthrough of Skills as org-wide AI infrastructure: four ecosystem shifts, how specialist stacks and orchestrators work, practical authoring rules (description, one-line gotcha, reasoning), agent-first design, three-tier ops, community repos—and why perfection, depth, and stamina still compound.

Mar 31, 2026Read more