The prevalence error is a cognitive error in which people tend to misjudge the frequency of certain events or phenomena by considering their own experience or perception as representative of the entire population.

This error can lead people to make misjudgements about the frequency of events that are actually rare or unusual. For example, someone who frequently sees accidents on the motorway may wrongly assume that car accidents are more common than they actually are.

In neuroweb design, the prevalence error can lead designers to incorrectly assume that certain design elements or layouts are well received by the entire target group, when in fact this only applies to a small group of users. If designers consider their own experiences and preferences to be representative of the entire target group, this can lead to a sub-optimal design that does not meet the needs and preferences of the entire target group.

To avoid the prevalence error in neuroweb design, it is important to carefully analyse the target audience and their needs and preferences and not just rely on personal experience or preferences. Market research, surveys and user testing can help to gain a better understanding of the target audience and tailor the design of the website more specifically to their needs and preferences.