# 0x3144

## Recent Posts

- [Day 32 | The Four-Way Race for U.S. Perpetuals: I Missed Kraken Yesterday](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-32-or-the-four-way-race-for-us-perpetuals-i-missed-kraken-yesterday)
- [Day 31 | Kalshi and Polymarket Both Announce Crypto Perps on the Same Day: The U.S. Derivatives Map Is About to Be Redrawn](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-31-or-kalshi-and-polymarket-both-announce-crypto-perps-on-the-same-day-the-us-derivatives-map-is-about-to-be-redrawn)
- [Day 30 | The April 17 BTC Short Squeeze: A Month and a Half of Powder, a Single Match](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-30-or-the-april-17-btc-short-squeeze-a-month-and-a-half-of-powder-a-single-match)
- [Day 29: What Is dbt, and Why Is Every Data Team Using It?](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-29-what-is-dbt-and-why-is-every-data-team-using-it)
- [Day 28: Perpetual Futures — The Engine of Crypto Derivatives Markets](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-28-perpetual-futures-%E2%80%94-the-engine-of-crypto-derivatives-markets): Perpetuals account for the vast majority of crypto derivatives trading volume. Understanding how they work is foundational to understanding the structure of crypto markets.
- [Day 27: From Credit Fraud to On-Chain Money Laundering — Same Methodology, Different Battlefield](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-27-from-credit-fraud-to-on-chain-money-laundering-%E2%80%94-same-methodology-different-battlefield)
- [Day 26: Two Advanced Frameworks for A/B Testing](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-26-two-advanced-frameworks-for-ab-testing): Frequentist statistics is the default language of A/B testing, but it's not the only one. Two frameworks that matter more and more in industry — one changes how you reach conclusions, the other solves the problem of never being able to reach them at all.
- [Day 25: Your A/B Test Showed Significance — But Can You Trust It?](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-25-your-ab-test-showed-significance-%E2%80%94-but-can-you-trust-it): The statistical logic of A/B testing is sound. Whether the results actually reflect causal reality depends on assumptions that are easy to violate without noticing. Here are three ways experiments quietly break down.
- [Day 24: When You Can't Run an A/B Test — How to Find Causality](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-24-when-you-cant-run-an-ab-test-%E2%80%94-how-to-find-causality)
- [Day 23 | The Execution Layer of A/B Testing: Peeking Problem and CUPED](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-23-or-the-execution-layer-of-ab-testing-peeking-problem-and-cuped)
- [Day 22 | Three Traps in A/B Test Design: Randomization Unit, AA Testing, Multiple Testing](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-22-or-three-traps-in-ab-test-design-randomization-unit-aa-testing-multiple-testing)
- [Day 21 | A/B Testing from First Principles: Hypothesis Testing to Statistical Power](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-21-or-ab-testing-from-first-principles-hypothesis-testing-to-statistical-power)
- [Day 20 | Three Hidden Layers of DeFi: Oracles, MEV, and Token Economics](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-20-or-three-hidden-layers-of-defi-oracles-mev-and-token-economics)
- [Day 19 | TVL: DeFi's Most-Used Metric — and Its Most Misread One](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-19-or-tvl-defis-most-used-metric-%E2%80%94-and-its-most-misread-one)
- [Day 18 | DeFi 101: When Code Replaces the Bank](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-18-or-defi-101-when-code-replaces-the-bank)
- [Day 17 | Sybil Attack: When One Person Becomes a Thousand](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-17-or-sybil-attack-when-one-person-becomes-a-thousand)
- [Day 16 | Graph 101: Why Blockchain Is a Natural Fit for Graph Analysis](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-16-or-graph-101-why-blockchain-is-a-natural-fit-for-graph-analysis)
- [Day 15 | Identity & Friction: When Security Meets Conversion Rate, personal experience using graph
](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-15-or-identity-and-friction-when-security-meets-conversion-rate-personal-experience-using-graph)
- [Day 14 | Metrics 101: North Star + Guardrail + Diagnostic](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-14-or-metrics-101-north-star-guardrail-diagnostic)
- [Day 13 | State Root & Merkle Proof: How One Hash Can Represent the Entire World State](https://paragraph.com/@0x31444defe4f28567c87e68071d8082a8e153ff17/day-13-or-state-root-and-merkle-proof-how-one-hash-can-represent-the-entire-world-state)

## Blog Information

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