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Fake Math Drives Bad Policies for the Poor

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New Orleans        The old saw reminded us about numbers and other lies, essentially that numbers don’t lie, but liars use numbers. Sad, but true.  I was reminded of this the other day when I read that the U. S. Department of Labor counts an individual as employed if they work for even one (1) hour during the survey week. Measurements of the poverty rate in the United States are equally bizarre and as widely manipulated.

The first determination of the poverty line was crafted in 1963 by a statistician for the Social Security Administration, Mollie Orshansky.  Her baseline was the food basket.  From a 1955 survey she determined the average cost of feeding families of varying sizes, and then multiplied by three, presuming that food was one-third of the living cost for the family.  Slow walk forward more than fifty-five years and, amazingly, her numbers, adjusted for inflation, continue to be the math behind the madness.

In 2019, it’s housing and childcare that suck the life out of lower income family budgets.  Food is still critical obviously.  Almost 16 million Americans used food banks in 2017, according to the Census Bureau, and 46 million use food banks according to the food bank network calculations.  Food stamp benefits only average $1.40 per meal, which doesn’t get anyone that far. Still the rising cost of housing is estimated to take 50% of income for families making less than $30,000, which is a budget buster for the poor.

Even a conservative source like The Economist argues that the deficiencies in the poverty line measurements “fuel the perception that safety-net programs have had no positive effect.”  In looking at the defects of the measure, they state clearly that, “The most significant is that income is calculated before taxes and transfers, meaning that poverty-reducing effects of the earned-income credit or food stamps is ignored.”  Alternative measurements based on measuring supplemental poverty and consumption have advantages.

There’s also general agreement that starting from the bottom, which means the measurement of absolute poverty, beggars the relief – and equity – that can come from anti-poverty programs.  Other countries, Britain for example, classify the poor as a percentage of median income, in their case 60%.  In the US, the poverty line is now at 26% of median income compared to 1975 when it was 40% of median income.  Inequity is in fact increasing the gap between not only the poor and the rich, but the poor and literally everyone else, making the measure and the programs either meager or punitive.

Ignoring cost of living differences also burdens the poor tremendously, and allows conservative ideologues, remember former Speaker of the US House Paul Ryan, to debunk the value of anti-poverty programs and argue for more stringent work requirements.  Such requirements fly in the face of the fact that the vast majority of the poor are children, elderly, and disabled, rather than the mythic able-bodied slacker.

It’s one thing for policy makers to ignore poor families and refuse to lift a finger to pull the voting lever on programs to lift the poor out of poverty, but why is necessary to lie about it and fabricate the numbers?

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Please enjoy Chevy Girl by Jennie J.

Thanks to KABF.

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The post Fake Math Drives Bad Policies for the Poor appeared first on Wade Rathke: Chief Organizer Blog.


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