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The new Fed Chair's suggestion to use measures like the trimmed-mean CPI isn't new. These same metrics were used by Fed governors in 2021 to justify delaying rate hikes. They failed to capture the breadth of rising inflation then, which suggests caution should be used before elevating them as primary policy guides now.

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The Federal Reserve is tightening policy just as forward-looking inflation indicators are pointing towards a significant decline. This pro-cyclical move, reacting to lagging data from a peak inflation print, is a "classic Fed error" that unnecessarily tightens financial conditions and risks derailing the economy.

Recent bond market volatility stems from a Fed credibility issue, not just rate expectations. Uncertainty over which inflation metric the Fed is targeting (e.g., Core PCE vs. Dallas Trimmed Mean) creates ambiguity about its reaction function, fueling investor fear and raising the term premium.

Kevin Warsh advocates for the Dallas Trimmed Mean inflation metric, which excludes extreme price moves. However, this gauge can be misleading. A single significant shock, like oil prices, initially gets excluded but its effects gradually bleed into many other items, causing the metric to lag behind true underlying inflation.

The Fed uses slow, imprecise methods like household surveys to measure key inflation components like rent. This creates a significant lag, causing them to be late in both recognizing rising inflation (as in 2021) and seeing its decline, resulting in harmful policy errors and misallocation of trillions.

The CPI averages costs across 80,000 items, many of which are non-essentials or luxury goods. This method masks the true, higher inflation rate on basic necessities. For example, while the CPI showed a 72% cost increase over two decades, the actual cost of essentials like housing, food, and healthcare rose by a much larger 97%.

Despite official CPI averaging under 2% from 2010-2020, the actual cost of major assets like homes and stocks exploded. This disconnect shows that government inflation data fails to reflect the reality of eroding purchasing power, which is a key driver of public frustration.

High measured inflation figures are misleading due to "quirks of measurement." For example, rising stock market values in portfolio management services artificially inflate reported inflation. Correcting for these biases reveals a less problematic inflation picture, justifying a more supportive monetary policy for the labor market.

The Fed's rate policy is driven by flawed data. The BLS's shelter inflation component has a built-in six-month delay and uses outdated collection methods. Real-time data shows inflation is already at target, meaning current high rates are unnecessarily damaging the economy.

By tracking the price of a single, consistent commodity (a ribeye steak) since 2020, Parker Lewis demonstrates a 72% cumulative price increase. This highlights the disconnect between official metrics and real-world cost increases for consumers.

The Fed consistently underestimates inflation and growth because its policy is anchored to a flawed model (HLW) suggesting a 3.1% neutral rate. More adaptive models and real-world data from interest-rate sensitive sectors point to a neutral rate closer to 4.5%, explaining why current policy is actually stimulative, not restrictive.