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Sure, if it's a uniform distribution and everyone only goes to the doctor once a year. More likely there's a bunch of poor old people constantly missing appointments, and poor parents unable to take their kids.

From the study (http://onlinepubs.trb.org/onlinepubs/tcrp/tcrp_webdoc_29.pdf):

"The estimate of 3.6 million Americans who miss or delay medical care because of a lack of access to NEMT each year [...] is conservative and should be seen as a lower bound estimate. Response bias inherent in these studies, e.g., their difficulty in surveying the homeless and other truly disadvantaged individuals, lowers the estimate, and some populations may be totally ignored in the data."

"Finally, several factors and trends—disproportionate population growth of groups in the current target population; the aging of the U.S. population; more expensive, less affordable healthcare; rising disease prevalence—will conspire to dramatically increase the future projection of transportation-disadvantaged individuals at risk of missing health care, i.e., this study’s target population."

"In terms of health status, the target population suffers from critical diseases at a higher rate than does the rest of the U.S. population, and it generally accesses more medical care than does the rest of the U.S. population, despite its transportation barriers, almost certainly because it is much more ill on average."




> in expectation

I don't know what you're arguing against.


I thought your comment was implying this statistic wasn't really a big deal when you average it over the whole population. I was trying to argue that a simple average is misleading, and it is a big deal.

If "in expectation" is a well-defined statistical term or something and I misunderstood, my bad.


No worries. "In expectation" is indeed a technical term, in the same sense of "expected value".




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