By Elena Belococic
Published September 2025 • 7 min read
Forecasting combines historical data with statistical models to predict future outcomes. From weather patterns to economic indicators, accurate forecasting requires understanding complex systems and their interactions.
"The best forecasts are those that recognize uncertainty and communicate it honestly."
Modern algorithms analyze massive datasets to identify patterns invisible to traditional methods. These models can predict everything from stock prices to pandemic spread rates.
By combining multiple prediction models, ensemble forecasting reduces risks of individual model biases while increasing overall accuracy.
Modern weather forecasts are about 80% accurate using supercomputers that process terabytes of data every second to predict weather patterns.