Latest stories
Editor’s reading
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Wallet backups: test recovery before you need it
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Crypto phishing: inspect the requested authority, not the urgency
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Transaction explorers: read evidence without overreading labels
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Onchain metrics: define the observation before telling a story
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Trading volume quality: inspect what was counted and where
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Market capitalization: useful arithmetic with important limits
Further reading
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Crypto research sources: build a claim-to-evidence trail
Use documentation, code, governance records, and independent observations without confusing first-party claims with proof.
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Protocol upgrades: distinguish proposal, release, activation, and migration
Follow network and contract changes through their actual lifecycle instead of treating an announcement as completed behavior.
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Staking: separate validator rewards from the service wrapper
Compare direct operation, pooled participation, liquid claims, penalties, fees, and withdrawal dependencies.
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MEV: understand how transaction ordering changes outcomes
Learn the differences between arbitrage, liquidation, and sandwich behavior, plus the limits of private transaction routes.
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NFT metadata: separate token ownership from the file it references
Inspect contract identity, token URIs, content addressing, storage persistence, and the limits of ownership claims.
Desk notes
The mechanism, explained
Go beyond the headline: understand how the moving parts fit together.
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What a Bitcoin full node verifies for you
Distinguish validation, mining, wallet signing, and storage when deciding what a node accomplishes.
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Bitcoin custody: who can authorize a withdrawal?
Compare service balances, self-custody, hardware signers, and recovery responsibilities.
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Bitcoin mining: from candidate block to accepted history
Connect proof of work, validation, pool shares, and operating economics without confusing their roles.
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Ethereum accounts: addresses, keys, contracts, and nonces
Read account behavior without confusing a wallet application, an address, and the authority behind it.
Practical reading
Worked examples, verification steps and the limits of each tool.
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Ethereum gas: distinguish work, price, and spending caps
Calculate a hypothetical fee and learn why a reverted transaction can still cost ETH.
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Ethereum finality: from a quick receipt to finalized settlement
Understand head, justified and finalized checkpoints, and why application receipts can arrive before finality.
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Smart contracts: inspect the rules and the people who can change them
Learn what deployed code guarantees, what it cannot know, and how upgrades change the trust picture.
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Token approvals: understand the permission before the swap
Separate allowances, signatures, transfers, and website connections when controlling token access.
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Token supply: read minting, burning, vesting, and circulation separately
Trace who can create units and distinguish a contract supply field from a market-data estimate.
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Token decimals: translate raw balances without changing value
Use unit conversions correctly and avoid mistakes when comparing token balances, prices, and supply.
Questions worth asking
Read the assumptions before drawing a conclusion.
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Stablecoin mechanics: identify the route back to the target value
Compare reserve-backed, collateral-backed, and reflexive designs by tracing redemption and incentives.
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Stablecoin reserves: read the assets, liabilities, and access terms
Evaluate reserve disclosures without confusing a balance snapshot, an attestation, and a full financial audit.
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DeFi collateral: calculate the buffer before borrowing
Understand loan-to-value, liquidation thresholds, interest accrual, and the limits of a collateral buffer.
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AMM liquidity: what a pool position actually owns
Explore reserve curves, fee income, inventory changes, and why providing liquidity differs from holding tokens.
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DEX slippage: distinguish the quote, price impact, and tolerance
Read minimum output and deadlines before a swap, and understand why a successful trade can disappoint.
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Oracle design: examine where a protocol gets its facts
Evaluate data sources, update rules, freshness checks, and failure behavior in oracle-dependent applications.