This is the Electe Review. Today, why a single number sales forecast is useless for running a business and why confusing an expectation with a sales target leads to bad operational decisions. A sales forecast is not a guarantee and it is not a goal. It is a structured estimate of expected quantity or revenue over a defined period, backed by historical sales, market data, and buyer intentions. Yet in Zachley's 2024 sales forecasting benchmark report of 405 North American professionals, four in five sales and finance leaders admitted missing a quarterly forecast in the prior year. 43% said their forecasts were usually off by at least 10%. Adding more data or complex models rarely solves the problem. A 2025 NBER study of more than 6,000 firms found that enhanced data use and financial incentives produced only modest accuracy improvements, while bias and over precision remained widespread among smaller firms. Similarly, a field study of 13 manufacturing firms showed organizational judgmental forecasts were not consistently better than a simple naive baseline. Even in an Austrian pharmaceutical study, median forecast sales exceeded actuals by 33%. A usable forecast requires three components: a central estimate, a plausible range, and explicit assumptions. Consider a shop forecasting 1,200 units next quarter with a downside of 900 and an upside of 1,400, assuming a month-two promotion. Instead of gambling on one headline figure, management can commit purchase orders for 1,000 units, negotiate an option for 300 more, and size cash reserves for the 900 unit downside. When expectations fall short of leadership's ambitions, raising the forecast to match a target or quota only hides the planning gap. Sales targets state what management wants. Forecasts state what is likely. Mixing the two breeds sandbagging, unchallenged optimism, and excess inventory. To make forecasting a discipline rather than a meeting ritual, document the central estimate, range, and assumptions before the period starts. Preserve that original version and track directional bias and mean absolute error by product and channel each month. That's the review.