I would assert that people don't even know how to conceptualize the question in these terms ("random number" == "uniform distribution").
After you do study probability (by gambling, by lab work, by quantitative programming, or, least fun, in coursework), you get introduced to the "right questions to ask", like:
"what's the distribution",
"are the samples independent",
"what are you conditioning upon"
For instance, many people don't know that the distribution of the sum of two dice looks very different than just one die. They're both random, but not both uniform. Often people know something's weird, but can't formulate the question because they don't have the language.
Comments
I would assert that people don't even know how to conceptualize the question in these terms ("random number" == "uniform distribution").
After you do study probability (by gambling, by lab work, by quantitative programming, or, least fun, in coursework), you get introduced to the "right questions to ask", like:
"what's the distribution", "are the samples independent", "what are you conditioning upon"
For instance, many people don't know that the distribution of the sum of two dice looks very different than just one die. They're both random, but not both uniform. Often people know something's weird, but can't formulate the question because they don't have the language.