ChatGPT Imagine a scenario where a significant number of individuals in the 30-34 age group decide not to respond to the survey about a proposed speed limit change. This non-response could skew the perceived support levels if it turns out that those who didn't respond are mostly opposed to the change. For instance, if 90% of non-responders in this age group actually disagree with the proposed speed limit adjustment, it would falsely inflate the perception that there is less support for the change overall. However, it's crucial to note that non-response doesn't always indicate bias. There could be various reasons why individuals choose not to participate in a surveytime constraints, lack of interest, or simply overlooking the survey invitation. Without clear evidence that non-responders have a specific bias against the change, assuming bias would be speculative. Therefore, while non-response can potentially impact the interpretation of survey results, it doesn't necessarily imply a deliberate skewing of opinions unless proven otherwise through further analysis or follow-up studies. use this to paraphrase it together as well