Non-response bias might distort the perception that adults eat less fruit than they actually do if individuals who are health-conscious and regularly consume fruit are less likely to respond to a dietary survey. For example, if those who are keen on maintaining healthy eating habits and eat a lot of fruit are too preoccupied with health-related activities to answer the survey, their lack of participation would result in an underestimation of fruit consumption in the surveyed group. As a result, the survey findings might falsely indicate a lower level of fruit consumption among adults in general. This underscores the importance of addressing non-response bias to ensure that survey results accurately represent the true eating habits of the wider adult population. Use the same scenario but use a slight different example as to why those who eat fruit are less likly to fill the survey