Unit 4 · Level 3 · Synthesis
Data mirages
On-chain data looks objective. It's a public ledger, after all. But mirages abound. Metrics get backtested on the coins that survived, not the thousands that died. Activity hops to other chains and L2s, making the chain you watch look quiet while the ecosystem booms. And an estimated 3-4 million BTC are lost forever, silently inflating every supply-based metric. The ledger is honest; interpretations of it are not automatically so.
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What you get asked
What is survivorship bias in on-chain analysis?
'MVRV bottoms always recovered' is true for bitcoin, and meaningless for the thousands of dead altcoins whose metrics also looked 'cheap' all the way to zero.
Ethereum mainnet activity looks flat, but millions of users migrated to its L2 networks. What mirage is this?
Post-2021, huge volumes moved to L2s and other chains. Watching one chain's raw activity is like judging a city's economy by one street.
Match each data mirage to its distortion
Four ways a perfectly honest ledger yields a dishonest conclusion. The data isn't lying; the frame around it is.
Roughly 3-4 million BTC are believed permanently ___, meaning true liquid supply is smaller than metrics assume.
Early coins with missing keys (including the untouched ~1M-BTC Satoshi stash) sit in every supply statistic while being economically dead.
The best working posture toward on-chain metrics, given all these mirages, is…
Transactions are facts; 'what they mean' is a model built by humans with assumptions. Keep the humility between those two layers. 🐜
The rest of this unit
Combine flows, valuation and leverage into one honest thesis, and know when to distrust it.