A trimmed mean is a statistical measure of central tendency calculated by removing a specified percentage of the lowest and highest values from a dataset before computing the average of the remaining values — thereby reducing the influence of extreme outliers on the calculated mean. For example, a 10% trimmed mean removes the bottom 10% and top 10% of data points and averages the middle 80%. In economics and monetary policy, trimmed mean inflation measures — used by central banks including the Reserve Bank of Australia and referenced by the RBI in inflation analysis — strip out the most volatile price components from the CPI basket to reveal the underlying inflation trend more accurately than the headline CPI figure. For investors and macro analysts on Ventura Securities, understanding trimmed mean inflation indicators is useful for interpreting central bank communications, forecasting interest rate decisions, and assessing whether headline inflation spikes or falls reflect genuine trend changes or temporary volatility in a small number of volatile components such as fuel or vegetables.