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BITCOIN
FIELD NOTES

The newsletter as a podcast. How Bitcoin actually works under the surface — protocol mechanics, the security model, and the economics that hold it together. For people who prefer to listen.

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Ep6

Change Address Detection

April 15, 202617 min

Bitcoin's ledger is transparent, but it's also ambiguous. Every transaction where you spend more than you send creates a puzzle: which output is the payment, and which is the change? Change address detection is the second-most critical heuristic in fore

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Ep5

Blockchain Transparency and AI Interpretability

SHOW NOTES Both blockchain forensics and AI interpretability promise transparency but deliver something more fragile: data you can see, but meaning you can only approximate through heuristics. This episode explores what that convergence reveals about bu

Apr 14, 202612 min
Ep4

Taint Analysis

SHOW NOTES Taint analysis is the quantitative framework that determines whether funds are frozen, whether a transaction is flagged, and ultimately which assets get recovered in investigations. But it's also one of the most misunderstood methodologies i

Apr 11, 202617 min
Ep3

Peel Chains

In research across 900+ days of Bitcoin transaction data, one pattern showed up in 33% of traced laundering flows — more than CoinJoin mixing, more than exchange deposits, more than anything else. It's called the peel chain. And it also appears in cou

Apr 9, 202616 min
Ep2

Following Bitcoin Through the Maze

In Episode 2 of Bitcoin Heuristics — Field Notes, we get into flow tracing: the methodology behind every major crypto investigation you've heard of, from Colonial Pipeline to Silk Road. It's powerful. It's also one of the easiest places in this field

Apr 8, 202622 min
Ep1

The Common-Input-Ownership Heuristic

If you've ever read that the FBI "traced" a Bitcoin ransomware payment, you've already trusted the Common-Input-Ownership Heuristic — the single assumption that turned Bitcoin from an opaque transaction graph into a forensic map. It's how the FBI buil

Apr 7, 202615 min

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