The Talent Drain
Banks vacuum up the best economists; society gets the rest
The Talent Drain describes the mechanism by which financial institutions systematically extract the highest-quality economic talent from every sector where that talent serves the public interest. The mechanism is simple: if you can predict economic outcomes accurately, a major bank will pay you £2 million a year. Government, academia, the civil service, and the media cannot compete. The result is a two-tier system in which the most capable analysts are locked inside private institutions — analysing the economy to extract profit from it — while public institutions are left with analysts who either couldn't get those jobs or chose not to.
The second part of the problem is accountability. On a trading floor, wrong predictions cost real money and end careers quickly. In academia and media, there is no mechanism for distinguishing consistently wrong economists from consistently right ones — no one tracks prediction accuracy, no one is fired for being wrong for a decade, and there is no market that punishes bad analysis. The combination of pay disparity and accountability vacuum means the gap between private and public economic analysis will widen over time, not narrow.
Gary experienced both sides: he was Citibank's top trader at 24, then went to Oxford for a master's and found that the professors teaching interest rates had been wrong for ten consecutive years without knowing it.
- Pay differentials of 10-20x between private finance and public institutions create a systematic one-way flow of analytical talent.
- Without a market mechanism that punishes wrong predictions with financial loss, public sector economists have no self-correcting feedback loop.
- The economists most likely to be correct are least likely to be in institutions that inform public policy.
- Visible credentialing (Oxford professor, IEA spokesperson) substitutes for demonstrated prediction accuracy in public discourse.
- The private sector's informational advantage compounds over time — each cycle, the best analysts are in banks, not governments.
- Identify who in any domain is being paid the most for accurate predictionsFollow the compensation signal. In economics, the highest-paid practitioners are proprietary traders and hedge fund managers — people whose pay is directly linked to prediction accuracy. Whoever is paid most to be right, most often is.Pro tipThis heuristic applies beyond economics: in any field where prediction accuracy is monetisable, the most accurate predictors will be in private, not public, institutions.
- Audit the accountability mechanism of the source you're relying onBefore trusting any economic analysis, establish what happens to that analyst when they are wrong. Does their career suffer? Do they lose money? Or do they continue to be cited, employed, and platformed regardless of track record?Pro tipGary's credibility argument: he makes public predictions and invites people to track them, because he's confident his track record is verifiable.WarningThink-tanks funded by interested parties (IEA, certain economics institutes) have structural incentives to produce analysis aligned with funders, not accurate forecasts.
- Cross-reference public analysis against private-sector positioningWhere possible, observe what sophisticated private actors are actually doing with their capital — not what public economists say should happen. The gap between public consensus and smart money positioning often reveals where the real analysis lives.
- Weight track records, not credentialsDiscount credentialism (PhD, professorship, think-tank title) and seek out verifiable prediction records. In a world where the best economists are inside banks, the most credible public voice may be someone with no academic title but a documented history of correct calls.Pro tipGary's explicit argument for why people should listen to him: he was the best trader at Citibank, not because of his background, but because he was repeatedly, verifiably right.
Gary, as one of the most profitable interest-rate traders in the world, challenged an Oxford professor who had been wrong on UK interest-rate predictions for ten consecutive years. The professor said 'we always knew rates would stay at zero' — demonstrating he didn't know he had been wrong.
Citibank didn't recruit through CVs and cover letters like every other firm — they ran a mathematical card game and hired the winner. Gary — from Ilford, paper round at 13 — beat candidates from privileged backgrounds through raw analytical ability.
Gary describes a straightforward offer available to anyone with genuine macro forecasting ability: walk into a New York skyscraper and earn £2 million a year. Government economists earn a small fraction of that.
Gary articulates the problem from personal experience. At Citibank, being right on predictions produced immediate, measurable financial rewards and career advancement — the market was the accountability mechanism. When he left trading for academia, he walked into Oxford and challenged professors on a decade of wrong interest-rate predictions. The response revealed the absence of any accountability mechanism — one professor didn't even know the predictions had been wrong. That encounter crystallised the structural diagnosis: it's not that individual public-sector economists are lazy or unintelligent; the incentive and accountability structures ensure the best don't stay.