That’s a good point. If a “skewed distribution” exists, one might use this point as an explanation. I would be really interested in knowing whether such a “skewed distribution” exists. However, how would one go about constructing such a distribution? Which characteristics of drivers should one consider? Extrapolating to other avenues like teaching, construction work, sales etc. can one define variables to measure such a “distribution” of competence?
To be clear, my point was that perceived driver skill has a skewed distribution because of the upper cap on what can be demonstrated and observed. (There is also a lower cap due to the requirement to pass a test to get a license, but the upper cap is much more restrictive.)
In situations where the lower cap is more restrictive (high barriers to entry and/or lots of opportunity to display proficiency) there should be a “below-average” effect. Perhaps this is a contributing factor to Impostor Syndrome?
That’s a good point. If a “skewed distribution” exists, one might use this point as an explanation. I would be really interested in knowing whether such a “skewed distribution” exists. However, how would one go about constructing such a distribution? Which characteristics of drivers should one consider? Extrapolating to other avenues like teaching, construction work, sales etc. can one define variables to measure such a “distribution” of competence?
To be clear, my point was that perceived driver skill has a skewed distribution because of the upper cap on what can be demonstrated and observed. (There is also a lower cap due to the requirement to pass a test to get a license, but the upper cap is much more restrictive.)
In situations where the lower cap is more restrictive (high barriers to entry and/or lots of opportunity to display proficiency) there should be a “below-average” effect. Perhaps this is a contributing factor to Impostor Syndrome?