Measurement errors in scientific analysis can lead to incorrect results. To fix this, researchers use special methods like instrumental variables and deconvolution. These techniques help correct mistakes in data collection, especially in complex models. When the data is not collected perfectly, additional information is needed to make sure the results are accurate.