A local-only economic thought experiment

A market shock is not a security model.

Test the post's stated cost, short-exposure, and price-shock relationship. The result is arithmetic under your assumptions, not a live-market estimate or a feasibility claim.

Make a prediction, then inspect the math.

The inputs are illustrative and local. No price feed, blockchain data, trading venue, or network-security estimate is used.

Scenario workspace

Set the assumptions

Choose a preset or enter your own values in billions of USD. These values describe a classroom scenario only.

Worked reasoning

Why exposure changes break-even

Break-even is total stated cost divided by short exposure. In this simplified model, more exposure lowers the drop required to cover the stated cost. It says nothing about whether that exposure could exist or be executed.

Limitation check

Separate arithmetic from reality

This lab excludes liquidity, legality, counterparty behavior, execution, network response, current hash power, and every real-world constraint that would be necessary for a feasibility conclusion.

Durable record

Keep the assumptions with the result.

The export includes your inputs, prediction, computed values, and the limitation statement. It is not investment advice.

Four variables, one deliberately narrow model.

Hover or focus an assumption to see where it enters the arithmetic. The expansion is visual; the model remains local and deterministic.

Attack cost

The stated upfront cost is treated as an assumption and added to the financing buffer. This is not a current estimate.

Financing buffer

The buffer makes time, capital, and uncertainty visible as a cost. It does not model actual funding markets.

Short exposure

Exposure multiplied by the illustrative price drop creates the modeled gross short result.

Price drop

The drop changes the modeled payoff. It does not predict a price, prove causation, or establish an event.

Read the claim carefully

Economic incentives and security constraints are different questions.

1. The post names a new payoff path.

The post's claim is that liquid derivatives could change the economic incentive by creating a position that benefits from a price decline.

2. The lab makes the claim testable.

By showing cost, exposure, price shock, and financing in one calculation, the model lets a learner see exactly which assumption drives a modeled positive or negative outcome.

3. The missing constraints still matter.

A positive output is not a conclusion about what can happen. The omitted constraints are the point: arithmetic can examine a claim without pretending to resolve every security, legal, or market question.

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