Curriculum·G106 The Research Report·about 31 min

Defending it against someone who pushes back

By the end of this lesson you can

  • Explain why the cost of a false public attribution is severe and asymmetric with a missed one
  • Explain how a bounty market for de-anonymizing addresses incentivizes overclaimed attributions
  • Compute why the standard for publicly naming a person must exceed the standard for an internal lead
  • Defend a claim by anticipating pushback, holding to stated confidence, and revising when the challenge is valid

Graduate · enrolled learners

This lesson opens with Arkham Intelligence's Intel Exchange, 2023.

What happened
In 2023 the on-chain analytics firm Arkham Intelligence launched an Intel Exchange, a marketplace where users could post bounties to de-anonymize particular addresses and others could submit attributions for payment, a model critics called dox-to-earn. The concern was structural. Paying for attributions creates an incentive to produce a name, and an incentive to produce a name is an incentive to overclaim confidence, because a hedged we cannot be sure earns nothing while a confident this is person X collects the bounty. A false public attribution, naming the wrong person as a hacker or a scammer, is a severe and largely irreversible harm to a real individual, and the cost of that error is not symmetric with the cost of failing to name anyone. The episode is less about one company than about the incentive it made explicit: the pressures on an attribution, a bounty, clout, being first, all push toward stating more confidence than the evidence supports, which is exactly the discipline a defensible report must resist.
The decision point
A research report will be pushed back on, by the person named, by skeptics, by rival analysts, and defending it is not about winning an argument but about having built a claim that holds. The defenses are the disciplines of this course applied in advance. A claim stated at honest confidence is defensible because a challenge to the interpretation leaves the facts standing; a claim reproducible from cited transactions is defensible because a skeptic can verify it; a claim that separates on-chain fact from characterization is defensible because the strong part does not depend on the contested part. What makes a claim indefensible is overclaiming, and the Arkham incentive is the pure case of the pressure to overclaim. The asymmetry is the anchor: a missed attribution costs an unsolved case, a false one costs an innocent person, so the standard for publicly naming a human being must be higher than the standard for an internal lead, and an analyst defends a claim best by not making one stronger than the evidence, and by revising it when the pushback is right.

What you will be able to answer

  • Why is a false public attribution asymmetric with a missed one?
  • Why does a bounty for de-anonymizing addresses incentivize overclaiming?
  • What makes a claim defensible against pushback?
  • What is the defensible response to a valid criticism of your attribution?

Orientation and Year One are open: anyone can read them without an account. From Year Two onward the lessons are for enrolled learners, because progress through the later years only means anything if it is tracked against a record.

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Terms used here

Sources and review

Confidence medium·Volatility medium·Reviewed 2026-09-15·Owner unassigned

Contested

Arkham's Intel Exchange and its dox-to-earn framing drew public criticism in 2023; views on its net effect differ. The lesson uses it to illustrate the incentive to overclaim attribution confidence, which is the durable point regardless of the platform's outcome.

The asymmetry between a false and a missed public attribution is an ethical and practical judgment, not an on-chain fact; this course argues for it explicitly as the standard a defensible report should hold.