Weighting is crucial because it helps to correct for bias and ensures that the sample accurately reflects the population. Without proper weighting, the study results could be misleading. For example, if certain subgroups are underrepresented in the sample, the results may not be applicable to those subgroups. Weighting adjusts for these discrepancies and helps produce more accurate and reliable estimates.