The Follow-the-Lobby Framework
Predict policy outcomes by mapping political funders to their corporate interests
The Follow-the-Lobby Framework replaces narrative-based political analysis with a funder-map approach. Instead of analyzing what politicians say, the user maps the politician's largest financial backers to specific corporate interests, then predicts policy outcomes as the delivery of returns to those funders. The framework treats left/right political framing as engineered distraction and focuses exclusively on capital flows from lobby to politician to policy. By building a funder map for any political actor, users can predict legislation and regulatory decisions before they are announced, enabling proactive strategic positioning rather than reactive adjustment.
- Politicians deliver for their funders, not their voters.
- Left/right framing is engineered narrative, not a meaningful policy distinction.
- Follow capital flows, not official messaging.
- Every major policy outcome can be predicted by identifying who benefits financially.
- Most politicians are competent; the question is who they work for, not how capable they are.
- The official justification for any policy is the wrapper, not the causal mechanism.
- Select the political actor and decision scopeChoose a specific politician, regulatory body, or pending legislation you want to forecast. Narrow the scope to a concrete decision or timeline rather than a broad ideological position.Pro tipFocus on committee chairs and agency heads who directly control regulatory outcomes in your sector; they have more proximate impact on specific decisions than executive branch figures.
- Build the funder mapResearch campaign finance disclosures, lobbying registrations, and known donor networks for the chosen actor. List the top five to ten financial contributors and affiliated lobby groups by contribution size.Pro tipPublic campaign finance databases are the primary source. Cross-reference direct donations with registered lobbying firms and known PAC structures to surface indirect relationships.WarningIndirect funding through PACs and dark money vehicles can obscure the full picture; look for structural relationships and historical patterns, not only direct disclosed donations.
- Map each funder to a specific policy mechanismFor each major funder, identify their industry, primary corporate interests, and the exact policy mechanism — subsidy, deregulation, contract award, tariff, or tax provision — that would deliver them financial benefit.WarningDo not stop at the industry level. Generic sector labels like 'banking' or 'tech' produce generic predictions. Name the specific mechanism each funder benefits from to generate actionable forecasts.
- Generate a concrete policy predictionWrite a specific prediction based on the funder map: what legislation, regulatory decision, or capital allocation will emerge, when, and who receives the benefit. Frame it as a testable hypothesis with a timeline.Pro tipFormat predictions as: 'Because Funder X benefits from Outcome Y, expect Y to emerge within Z months via Mechanism M.' This structure makes predictions trackable and refinable.
- Filter out the media narrative activelySet aside left/right framing from mainstream and partisan media coverage. Treat official justifications and political rhetoric as the public-facing narrative wrapper, not the causal driver of the outcome.Pro tipWhen media coverage contradicts your funder-map prediction, default to the funder map as the primary signal until the actual outcome proves otherwise.WarningDiscarding all qualitative context can occasionally miss genuine outliers; use the funder map as the primary signal but hold room for structural surprises.
- Track outcomes and calibrate accuracyMonitor actual policy decisions against your predictions systematically. Record misses alongside hits to identify which funder-map patterns produce the most reliable forecasts in your domain.Pro tipKeep a simple prediction log: funder mapped → predicted outcome → actual outcome → accuracy note. Review quarterly to identify systematic blind spots in your mapping method.
Dixon maps Trump's three largest 2024 funders: Elon Musk representing the tech-surveillance sector, the Mellon banking dynasty representing financial capital, and a funder connected to Israeli geopolitical interests representing defense-industrial interests. He then generates concrete predictions: DOGE benefiting Palantir and data companies in Musk's orbit, financial deregulation and stable-coin policy favoring banking capital, and Middle East military engagement serving defense contractors. Each prediction precedes the policy announcement.
Dixon applies the framework symmetrically to both parties. Democrat administrations fund social programs managed by large insurance companies who are FICK nodes; Republican administrations deregulate and enable M&A sprees that concentrate FICK power. Different narratives, opposite official ideologies, but the funder map reveals the same capital flow destination in both cases.
Articulated by Simon Dixon in a Simply Bitcoin interview, drawn from 25 years analyzing the Financial Industrial Complex. Dixon states explicitly: whenever he evaluates a politician he lists their largest funders first and predicts agenda from there.