The article discusses ways to correct for patterns in data that can make it harder to draw accurate conclusions. These patterns, called serial correlation and heteroskedasticity, can affect the reliability of research findings. The researchers explore methods to adjust for these issues, which are common in time series studies. By implementing these corrections, researchers can make their estimates more precise and draw more reliable conclusions from their data.