The uninsured and lying with statistics

June 29th, 2009 | by Brian Schwartz |

David Harsanyi has another great column in the Denver Post, this time how many people in the U.S. are uninsured. Some excerpts:

Did you know that about 300 million Americans went without food, water and shelter at some point last year?

I am a survivor.

If you were blessed with the prodigiously creative and cunning mind of a politician, that kind of statistic — meaningless but technically true — could be put to good use.

In the entertaining 1954 classic “How To Lie With Statistics,” Darrell Huff writes, “Misinforming people by the use of statistical material might be called statistical manipulation… (or) statisticulation.”

One of the most persistent examples of modern-day statisticulation is the sufficiently true claim that 46 million (it becomes 50 million when senators really get keyed up) Americans don’t have health insurance.

It is true that the 46 million figure is based on unreliable Census Bureau data. But even the less unreliable Congressional Budget Office puts the number at about 31 million. And even that number, former CBO Director Douglas Holtz-Eakin claims, is an “incomplete and potentially misleading picture of the uninsured population.”

In a study for the National Bureau of Economic Research called “Is Health Insurance Affordable for the Uninsured?,” [summary] Stanford economists say, “Based on a plausible range of definitions and assumptions health insurance is affordable for between one quarter and three quarters of adults who are not insured.”

Turns out that 8.4 million uninsured Americans are making $50,000 to $74,999, and 9.1 million more are making more than $75,000. Health insurance is just incompatible with their lifestyles, I guess.

These facts do not undermine the argument for nationalized health care. (History and common sense do that already.) They do, however, point out that many statistics, to quote Huff again, get by “only because the magic of numbers brings about a suspension of common sense.”

Read the whole article here.

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  • John
    I just don't think you can throw out the yearly income of individuals and assume that means they could afford health care. How many of those people have been rejected health care? How many are self-employed? Have you done the math or any research on what it costs to pay for health care for these individuals?

    It's quite a bit disingenuous of you to twist stats to try to make your point that others are twisting stats. The reality is, your research is incomplete.



    Then you might look at this post that cites research about those who can afford insurance but do not buy it.
  • John Twiname
    I would like a breakdown of the uninsured (e.g., Medicaid eligible, but not registered; able to afford, but not buying, etc.). Can you help me get this from a reputable source not out to sell "National Health Care?"


    Good question. This post about those without insurance who are eligible or can afford it might help.
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