The Fed's 70 Basis Point Illusion: How Measurement Error Could Disarm the September Rate Hike
The narrative forming around the September Federal Open Market Committee meeting is not about the labor market, nor is it about the resilience of consumer spending. The narrative is about a decimal point. Specifically, the 70 basis points that former Federal Reserve Governor Stephen Miran claims are embedded in the core Personal Consumption Expenditures (PCE) index as a statistical artifact.
Auditing the skeleton of a digital empire reveals that this is not merely a technical quibble from an academic observer; it is a strategic dismantling of the case for monetary tightening, delivered with surgical precision weeks before the Fed's most consequential decision window of the year.
Context: The Reaction Function Paradox
We are operating in a macroeconomic environment where the market has priced a non-trivial probability of a rate hike into the September meeting. This expectation exists despite the Fed's decision to hold rates steady through both June and July. As Miran correctly points out, there is no coherent reaction function that allows a central bank to remain static for two consecutive meetings and then pivot to a hike in the third, absent a paradigm-shifting data surprise.
This is the "reaction function paradox." It suggests that the market is pricing a fear of inflation that the Fed's own actions have already implicitly rejected. My experience auditing the architecture of high-yield systems tells me that when the operator holds the line twice, the third move is rarely a tightening. It is a pause. But Miran is pushing further, suggesting that the pause is not just a tactical stop but a structural necessity based on data quality.
He frames the debate around the Fed's dual mandate—maximum employment and price stability. The institutional translation here is critical: if the inflation data is corrupted by measurement noise, then the "price stability" leg of the mandate is being violated by a phantom. Consequently, the "maximum employment" leg becomes the primary real-world constraint. Any hike executed on the basis of that phantom would not be monetary policy; it would be a tax on the labor market.
Core: The Mechanical Inflation of the Equity Market
The audit reveals what the hype conceals. Miran’s argument rests on two specific statistical adjustments that are easily dismissed but are mechanically sound. The first is the treatment of portfolio management fees within the PCE index.
When equity markets rally, asset values increase. Since portfolio management fees are typically charged as a percentage of assets under management, these fees rise mechanically. This is not a reflection of "price gouging" or real service inflation; it is a mathematical function of the stock market's level. By including these fees in the core PCE calculation, the index effectively embeds a "stock market tax" on inflation. If the S&P 500 runs up 20%, the management fees will show a corresponding increase, adding a percentage point or more to services inflation. This is not demand-pull inflation; it is a mark-to-market accounting illusion.
The second factor is the treatment of software prices. Miran specifically identifies the BEA’s methodology for pricing software upgrades, particularly those tied to Artificial Intelligence enhancements. The argument is that a 10% price increase in software that is 30% more productive due to AI features is not pure inflation. In economic terms, this is a quality adjustment problem. If the Bureau of Economic Analysis fails to apply proper hedonic adjustments for these AI-driven improvements, it systematically overstates the inflation rate.
Let me quantify this based on the historical spread. The normal CPI-PCE gap is roughly 40 basis points. Currently, that gap has blown out to approximately 100 basis points. Miran attributes this 60-basis-point divergence, plus an additional 10 basis points from other quirks, to these measurement errors. If we strip out these 70 basis points, core PCE is running at approximately 2.6%—close enough to the 2.1-2.2% range to be considered "historically normal."
The strategic elegance of this argument is that it does not challenge the Fed's commitment to fighting inflation. It challenges the tool used to measure the enemy. By invalidating the yardstick, Miran invalidates the need for the policy response. Yields are not given; they are engineered—and so are the statistics that justify them.
Furthermore, Miran’s support for the Treasury's bond buyback program adds another layer to this liquidity calculus. He argues that the Treasury's increased purchasing of long-end securities enhances market signals rather than distorting them. This is effectively a quasi-QE operation conducted by the fiscal authority. It bypasses the Fed's balance sheet but achieves a similar outcome: suppressing long-term yields. This coordination, if sustained, creates a backdrop where the front-end policy rate becomes less relevant, reducing the urgency to adjust it at all.
Contrarian: The Addiction to the Trendline
The counter-intuitive angle here is not that Miran is wrong, but that his solution—waiting for the BEA to revise the data—might create a new class of systemic risk. The BEA is slated to revise its methodology shortly after the September FOMC meeting. Miran views this as vindication: the data will be corrected, and the case for the hike will evaporate.
However, there is a danger in making policy contingent on statistical revisions. If the market begins to trade on "expected revisions" rather than "actual prints," we enter a bizarre state of policy-by-estimate. The Fed would lose credibility not because it hiked or held, but because it outsourced its decision to a spreadsheet update. This is the hidden fragility: our dependence on the very measurement tools we claim to distrust.
There is also a blind spot in Miran's employment argument. He warns of "unnecessary unemployment" caused by fighting exaggerated inflation. But the article provides no data on the current state of the labor market. If non-farm payrolls remain robust and unemployment stays at historic lows, the "unnecessary unemployment" argument lacks empirical teeth. It is a theoretical casualty, not a realized one. This is the flaw in the contrarian case: it preemptively mourns a crisis that may not arrive until after the policy error is made. The market should be wary of policy frameworks built on two "ifs"—if the data is revised, and if unemployment rises.
Takeaway: The Decoupling of Data and Policy
We are entering a phase where the story is the asset, and the code—or in this case, the statistical methodology—is the proof. The market narrative is shifting from "inflation is hot" to "inflation is distorted." If the BEA’s revision confirms Miran’s estimates, the Fed has cover to remain on hold indefinitely. If it does not, the credibility gap widens, and the market will suffer a violent repricing.
The next narrative to watch is not the September meeting, but the Jackson Hole speech by Fed Chair Kevin Warsh. If Warsh echoes the "wait-and-see" sentiment and explicitly nods to the data revision window, the case for the September hike is dead. The reaction function will be rendered null. But if he adopts a hawkish tone, signaling that the "weird" policy path is still on the table, then the market must prepare for a tightening cycle that defies both logic and statistical precedent.
Which will it be? A central bank that trusts its models, or one that audits them? The answer lies in the decimal point. I know where I am placing my bet—on the side of the audit.