10.31.2013

The Lesser of Two Evils Is Itself Becoming Intolerable:Democrats Protest $5 Billion Food Stamp Cut They Voted For

I don't mean to be repetitive in posts here, and my intention is not to malign the Party that supposedly represents closest my views and values on how we should operate our country and our government.  But truth be told, I only vote "Democrat" because the alternative is so unpalatable it makes me physically ill to consider. 

Over the years I've paid attention, the policy decisions of Democrats have repeatedly gone against the best interests of a huge number of their supporters, and this has been true for most of my lifetime.  It's gotten to the point, at least for me, that I can barely find the differences between the two parties, except for the rhetoric and deceptions they toss our way on occasion.

I'm frankly sick and tired of having to choose between the lesser of two evils today, but like most average people, I feel absolutely powerless in the ability to change the system.  I know there just has to be good, honest, well meaning people in political offices today, but they are constantly outshouted, outnumbered and outmaneuvered by vile and despicable excuses for human beings who appear to have as their primary mission making life intolerable for just about everyone but those on their payrolls and those who donate enough money to purchase control of the cretin.

What is more distasteful and fear-inducing to me is the knowledge that each one of those arrogant, ignorant beasts disguised as human beings on both sides of the political aisle have enough like-minded citizens - our neighbors - to put and keep them in office. If you needed a a good scare for Halloween, look no further.

Democrats Protest $5 Billion Food Stamp Cut They Voted For

Posted:   |  Updated: 10/29/2013 7:11 pm EDT
 
WASHINGTON -- A group of nine Democratic members of the House of Representatives held a press conference outside the Capitol on Tuesday to demand Congress avert an automatic food stamp cut scheduled to take effect on Friday.
"The average family of four will see a $36 cut in their monthly benefits, bringing the average per-person benefit from $1.50 a meal to $1.40 a meal," Rep. Jan Schakowsky (D-Ill.) said. "Shame on this Congress for allowing this to happen."
But the cut, which will reduce monthly benefits for all 47 million Americans enrolled in the Supplemental Nutrition Assistance Program by roughly 7 percent, is happening thanks mainly to Democratic votes that hastened the demise of a benefit increase from the 2009 stimulus bill. Each of the representatives at Tuesday's presser voted with their party for a pair of 2010 spending bills that set the cuts in motion.
The first bill took money allocated for future food stamp use and used it instead to prevent states from laying off teachers. Democrats supported the bill grudgingly, lamenting that it would cause a food stamp cut in 2014. When it came time to support a second bill that raided future food stamp funds once again, pushing the cut to November 2013, they protested -- at least at first.
"This is one of the more egregious cases of robbing Peter to pay Paul, and is a vote we do not take lightly," more than 100 Democrats wrote in an August 2010 letter to then-House Speaker Nancy Pelosi (D-Calif.).
But then President Barack Obama smoothed things over in a meeting at the White House, because the bill in question was the Healthy, Hunger-Free Kids Act -- a priority of the first lady's. The measure provided free lunches and updated nutrition standards for schools.
"I am very pleased we were able to work together with the president and his team to address concerns regarding cuts to the food stamp program that are included in the child nutrition bill," Rep. Barbara Lee (D-Calif.) said in a statement at the time. On Tuesday, Lee told HuffPost the president had pledged to support replacing the SNAP funds, a vow he fulfilled in subsequent budget blueprints that didn't become law. Congress and the White House have been otherwise silent about the issue for the past three years.
On Tuesday, Rep. Rosa DeLauro (D-Conn.) defended the 2010 tradeoff.
"It was a piece of legislation that said let's change nutrition standards, let's get junk foods out of our schools, and let's make sure that our kids can have those fruits and vegetables," DeLauro told HuffPost. "There was no money for it. The price of it was $2.2 billion. That came from the food stamp program and all of us here complained. And we were opposed to that but we knew that it was a good first step in getting the Hunger-Free Kids Act."
Friday's cut is happening thanks to the expiration of a 13.6 percent food stamp boost from the American Recovery and Reinvestment Act of 2009, better known as the stimulus bill. Originally, lawmakers had planned to let SNAP's annual inflation adjustments catch up to the increase sometime after 2015. Canceling the enhanced benefits this November means the government will spend $5 billion less on nutrition assistance next year -- an annual SNAP spending cut 25 percent larger than what House Republicans are seeking in farm bill negotiations starting this week.
DeLauro pivoted from November's food stamp decrease to Republican demands that food stamps be reduced by 5 percent, or $40 billion over 10 years, though the two things are completely separate.
"This is about people wanting to make a $40 billion cut in the food stamp program," DeLauro said, "not to put in place a Hunger-Free Kids Act, but in fact to take food out of the mouths of our children, or seniors, and the disabled. A much different time, a much different place, and a much different set of circumstances."

10.29.2013

"Pepper spraying the mentally disabled and then giving them a beating: the norm in what’s evolved into America’s largest mental institution-the U.S. prison system"

When I was a guest of California's Greybar hotels back in the 90s for growing the debbil's weed, I was stunned to see just how many people locked up with me were seriously and persistently mentally ill.  At times, it seemed like more sick folk were in there than actual criminals who intentionally played, got caught, and were now paying up.

I had a vague understanding back then that something really important - and either very good or very bad, depending on who you talked with - had happened where the state hospitals that housed those suffering from mental illness had released boatloads of folks back into communities because, a) it was costly as hell to run those hospitals and the state was looking to save some money, and b) those individuals would do better in their communities than they were doing in the state hospitals, and at far less cost.  I also hazily understood that when the state hospitals opened the doors, mental health agencies in local communities were supposed to pick up the slack and provide the services needed by those individuals.

From what I could see based on the populations in San Quentin and Folsom, local communities weren't doing a very good job, and I found out later that apparently this was because although the state hospitals were ordered to release folks, no one provided additional resources to local community agencies to beef up their staff to prepare for the influx.

Again, all of this was gleaned from news stories, anecdotal evidence, and hearsay, but the one thing that was absolutely crystal clear while I stood in the chow hall of San Quentin's reception center was that prisons had replaced state hospitals as the home of the mentally ill.   If you thought they were being mistreated in those hospitals, you couldn't imagine the atrocities they were being subjected to while down with predatory inmates, brutal, sadistic, psychopathic guards, and opportunities for physical and mental torture inside those walls that would make hardcore Gitmo guards green with envy.

Turns out that everything I'd sort of figured out on my own while surrounded by my very sick brothers in state prison was true.  You can see for yourself in the second article below, and here as well.  What's most disturbing about this is that the NY Times article has a publish date of October 30, 1984

So, for just about three decades now, we apparently knew that:
"The consensus seems to be that the more intelligent approach to the overall problem is to realize both the limitations and value of the drugs, the importance of combining drug treatment with proper care - either in hospitals or local clinics, depending on the individual case - and that mental illness is a sociological fact that cannot be ignored simply out of a desire to save tax dollars." ~  Dr. Jack R. Ewalt
When you compare the cost of the average state prison inmate (in California, it's around $47,102) to what I have been able to find is the average cost for a state mental hospital stay (amounts vary, but appear to range from $48,631 to $76,750 per patient) it appears we're a) not saving a lot of money, and b) we're exacerbating conditions rather than helping those with severe and persistent mental illness recover.

Worse, because our sick brothers and sisters are placed in the care of people who are woefully unprepared, lack effective training, and maintain control through shows of violent, retributive power of the state, they're being mistreated, victimized and oppressed not only by staff, but also by inmates who take advantage of their diminished mental faculties.

The old State Hospital "snake pits" were bad for sure, but I doubt they hold a candle to some of the more nefarious prison treatment we know is happening on a daily basis in just about every state in the country...

The HoleThere’s just no way to justify pepper spraying the mentally disabled and then giving them a beating to boot.  It’s the sort of thing that hurts to think about–unless you’re a sociopath–but it’s become  the norm  in what’s evolved into America’s largest mental institution: the U.S. prison system.

I feel morose after reading about the plight of one poor 57 year-old guy, a Jerry C. Williams down in Raliegh, North Carolina.  If an IQ of 76, a childhood victimized by sexual abuse, and a diagnosis of schizophrenia haven’t cramped his life chances enough, a lawsuit filed on his behalf documents how these days Williams is regularly pepper sprayed through the slot in the steel door on the cell that holds him in solitary confinement—the hole, as it’s known in prison parlance, the place where our mentally ill increasingly go to rot in between beatings and sprayings, evidently.


State correctional officers have been menacing Williams so thoroughly that a federal lawsuit has been filed alleging cruel and unusual punishment in violation of the Eighth Amendment of the U.S. Constitution.

Eleven years into the 28 year bid he got as a habitual offender for trespassing, assault and burglary, the N.C. native has spent years shuttling between cells in the prison mental ward and solitary confinement in what’s known as Unit One.

Williams is by no means alone in being pepper sprayed in the hole. The standard 6 by 12 feet cells, with a toilet and a bed made of slab, houses an estimated 25,000 inmates in 45 states that practice solitary confinement.

While most countries have phased out the hole as barbaric, and imprison far fewer people than we do here in “freedom-loving” America, the mentally ill are incarcerated and kept isolated for weeks and months on end, with profound psychological consequences.

Nobody pretends it’s doing any therapeutic good to cage the mentally ill alone, a punishment that could drive a sane man mad.

According to the suit filed by the North Carolina Prisoner Legal Services, Williams and seven fellow inmates, who are locked up behind solid steel doors 23 to 24 hours a day, with only three to five hours a week of recreation, are also shackled and beaten out of view of security cameras on a regular basis.

“On the solitary confinement unit, some of the primary symptoms of Mr. Williams’s illness–agitation, yelling, kicking, and throwing things–are treated like pure behavior problems that must be punished with the intentional infliction of physical pain,” the court motion states.

The suit claims the mistreatment also violates the prison’s own protocol for handling inmates with chronic mental illness.

“The monotony of Unit One’s solitary regime is broken only by periodic inmate disturbances–flooding cells, setting fires, throwing liquids, and screaming, kicking, and banging on the doors,” the suit says.

“And the practice on Unit One is to deploy high-concentration Oleoresin Capsicum pepper spray as the first level response to any such disturbance, regardless of whether a real threat of bodily harm exists, and regardless of the mental health status of the disobedient inmate.”

The fiendish treatment Williams receives every livelong minute is not unusual. His experience echoes thousands of others across the country. More than half of all prison and state inmates now report mental health problems, including psychosis, according to information from the federal Bureau of Justice Statistics.

Well over a million prisoners report mental health disorders in the state prison population, a figure five times greater (56.2 percent) than in the general adult population (11 percent).

‘You Want to Do Anything to Get Out, Even Kill Yourself’

“The first time you get locked up (in the Hole), it about drive you wild,” the suit quotes Williams as saying. “You want to do anything to get out, even kill yourself.”

Williams was thrown in the hole on the night of Sept. 17, 2009, when he became agitated that his dinner tray did not include bread or a spoon.

When a correctional officer returned to collect the tray, Williams jammed it through the slot, causing it to land on the floor outside.

For this he was sprayed back through the slot eight times over a three-hour period, according to the lawsuit.

His lawyers say video of the incident shows prison guard rolling a large “MK21″ canister of pepper spray into the hole, badly injuring him before a team of officers wearing body armor and wielding batons rushed in to administer high-voltage shocks from a stun gun.

The suit claims he was then dragged from his cell and punched and kicked out of camera view.
Why?

HOW RELEASE OF MENTAL PATIENTS BEGAN

THE policy that led to the release of most of the nation's mentally ill patients from the hospital to the community is now widely regarded as a major failure. Sweeping critiques of the policy, notably the recent report of the American Psychiatric Association, have spread the blame everywhere, faulting politicians, civil libertarian lawyers and psychiatrists. 

But who, specifically, played some of the more important roles in the formation of this ill-fated policy? What motivated these influential people and what lessons are to be learned? 

A detailed picture has emerged from a series of interviews and a review of public records, research reports and institutional recommendations. The picture is one of cost-conscious policy makers, who were quick to buy optimistic projections that were, in some instances, buttressed by misinformation and by a willingness to suspend skepticism. 

Many of the psychiatrists involved as practitioners and policy makers in the 1950's and 1960's said in the interviews that heavy responsibility lay on a sometimes neglected aspect of the problem: the overreliance on drugs to do the work of society. 

The records show that the politicians were dogged by the image and financial problems posed by the state hospitals and that the scientific and medical establishment sold Congress and the state legislatures a quick fix for a complicated problem that was bought sight unseen. 

'They've Gone Far, Too Far'
In California, for example, the number of patients in state mental hospitals reached a peak of 37,500 in 1959 when Edmund G. Brown was Governor, fell to 22,000 when Ronald Reagan attained that office in 1967, and continued to decline under his administration and that of his successor, Edmund G. Brown Jr. The senior Mr. Brown now expresses regret about the way the policy started and ultimately evolved. ''They've gone far, too far, in letting people out,'' he said in an interview. 

Dr. Robert H. Felix, who was then director of the National Institute of Mental Health and a major figure in the shift to community centers, says now on reflection: ''Many of those patients who left the state hospitals never should have done so. We psychiatrists saw too much of the old snake pit, saw too many people who shouldn't have been there and we overreacted. The result is not what we intended, and perhaps we didn't ask the questions that should have been asked when developing a new concept, but psychiatrists are human, too, and we tried our damnedest.'' 

Dr. John A. Talbott, president of the American Psychiatric Association, said, ''The psychiatrists involved in the policy making at that time certainly oversold community treatment, and our credibility today is probably damaged because of it.'' He said the policies ''were based partly on wishful thinking, partly on the enormousness of the problem and the lack of a silver bullet to resolve it, then as now.'' 

The original policy changes were backed by scores of national professional and philanthropic organizations and several hundred people prominent in medicine, academia and politics. The belief then was widespread that the same scientific researchers who had conjured up antibiotics and vaccines during the outburst of medical discovery in the 50's and 60's had also developed penicillins to cure psychoses and thus revolutionize the treatment of the mentally ill. 

And these leaders were prodded into action by a series of scientific studies in the 1950's purporting to show that mental illness was far more prevalent than had previously been believed. 

Finally, there was a growing economic and political liability faced by state legislators. Enormous amounts of tax revenues were being used to support the state mental hospitals, and the institutions themselves were increasingly thought of as ''snake pits'' or facilities that few people wanted. 

One of the most influential groups in bringing about the new national policy was the Joint Commission on Mental Illness and Health, an independent body set up by Congress in 1955. One of its two surviving members, Dr. M. Brewster Smith, a University of California psychologist who served as vice president, said the commission took the direction it did because of ''the sort of overselling that happens in almost every interchange between science and government.'' 

''Extravagant claims were made for the benefits of shifting from state hospitals to community clinics,'' Dr. Smith said. ''The professional community made mistakes and was overly optimistic, but the political community wanted to save money.'' 

'Tranquilizers Became Panacea'
Charles Schlaifer, a New York advertising executive who served as secretary-treasurer of the group, said he was now disgusted with the advice presented by leading psychiatrists of that day. 

''Tranquilizers became the panacea for the mentally ill,'' he said. ''The state programs were buying them by the carload, sending the drugged patients back to the community and the psychiatrists never tried to stop this. Local mental health centers were going to be the greatest thing going, but no one wanted to think it through.''

Dr. Bertram S. Brown, a psychiatrist and Federal official who was instrumental in shaping the community center legislation in 1963, agreed that Presidents Eisenhower, Kennedy and Johnson were to some extent misled by the mental health community and Government bureaucrats. 

''The bureaucrat-psychiatrists realized that there was political and financial overpromise,'' he said.
Dr. Brown, then an executive of the National Institute of Mental Health and now president of Hahnemann University in Philadelphia, stated candidly in an interview: ''Yes, the doctors were overpromising for the politicians. The doctors did not believe that community care would cure schizophrenia, and we did allow ourselves to be somewhat misrepresented.'' 

''They ended up with everything but the kitchen sink without the issue of long-term funding being settled,'' he said. ''That was the overpromising.'' 

Dr. Brown said he and the other architects of the community centers legislation believed that while there was a risk of homelessness, that it would not happen if Federal, state, local and private financial support ''was sufficient'' to do the job. 

Resources Vanished Quickly
The legislation sought to create a nationwide network of locally based mental health centers which, rather than large state hospitals, would be the main source of treatment. The center concept was aided by Federal funds for four and a half years, after which it was hoped that the states and local governments would assume responsibility. 

''We knew that there were not enough resources in the community to do the whole job, so that some people would be in the streets facing society head on and questions would be raised about the necessity to send them back to the state hospitals,'' Dr. Brown said. 

But, he continued, ''It happened much faster than we foresaw.'' The discharge of mental patients was accelerated in the late 1960's and early 1970's in some states as a result of a series of court decisions that limited the commitment powers of state and local officials. 

Dr. Brown insists, as do others who were involved in the Congressional legislation to establish community mental health centers, that politicians and health experts were carrying out a public mandate to abolish the abominable conditions of insane asylums. He and others note - and their critics do not disagree - that their motives were not venal and that they were acting humanely. 

In restrospect it does seem clear that questions were not asked that might have been asked. In the thousands of pages of testimony before Congressional committees in the late 1950's and early 1960's, little doubt was expressed about the wisdom of deinstitutionalization. And the development of tranquilizing drugs was regarded as an unqualified ''godsend,'' as one of the nation's leading psychiatrists, Dr. Francis J. Braceland, described it when he testified before a Senate subcommittee in 1963. 

Dr. Braceland, a former president of the American Psychiatric Association who is a retired professor of psychiatry at Yale University, still maintains, however, that under the circumstances the widespread prescription of drugs for the mentally ill was and is a wise policy. 

''We had no alternative to the use of drugs for schizophrenia and depression,'' Dr. Braceland said. ''Before the introduction of drugs like Thorazine we never had drugs that worked. These are wonderful drugs and they kept a lot of people out of the hospitals.'' 

Testimony to Congress 
His point is borne out repeatedly by references in Congressional testimony, such as the following exchange at a House subcommittee hearing between Representative Leo W. O'Brien, Democrat of upstate New York, and Dr. Henry N. Pratt, director of New York Hospital in Manhattan, who appeared on behalf of the American Hospital Association. 

Mr. O'Brien: ''Do you know offhand how much New York appropriates annually for its mental hospitals?'' 

Dr. Pratt: ''It is the vast sum of $400 million to $500 million.'' 

Mr. O'Brien: ''So you see that, through a real attempt to handle this problem at the community level, the possibility that this dead weight of $400 million to $500 million a year around the necks of the New York State taxpayers might be reduced considerably in the next 15 or 20 years? 

Dr. Pratt: ''I do, indeed. Yes, sir.'' 

He then told the subcommittee that ''striking proof of the advantages of local short-term intensive care of the mentally ill was brought out'' in a Missouri study. 

Dr. Pratt's testimony and the Missouri study were repeatedly cited in subsequent Congressional debates on the community centers bill by such politicians as Senator Hubert H. Humphrey of Minnesota and Representative Kenneth A. Roberts of Alabama. 

The Missouri study, which compared a group of 412 patients in two intensive treatment centers with patients admitted to five mental hospitals, showed that the average stays for patients in the large hospitals were 237 days longer than for similarly diagnosed patients at the treatment centers. 

But Dr. George A. Ulett of St. Louis, the psychiatrist who directed the study as head of Missouri's Division of Mental Diseases, now says the numbers cited, though correct, were misinterpreted. ''We did have dramatic numbers, but the initial success of the community centers in Missouri hinged on the large numbers of psychiatrists and support personnel who staffed the centers at that time,'' Dr. Ulett said.

The centers were two pilot projects that were given special staff and attention to demonstrate what could be accomplished, he said. By linking the community centers to large teaching hospitals in major cities and providing adequate funds for their maintenance it was possible to attract the quality of staff that all but guaranteed better results than the old state hospitals, he said. 

''Unfortunately,'' he said, ''over the years the budgets were progressively reduced, the professional staffs were cut, and the program regressed to right back where it started.'' 

Dr. Frank R. Lipton and Dr. Albert Sabatini of Bellevue Psychiatric Hospital in Manhattan, who have done research on the problems of the homeless, say one of the major flaws in the concept of deinstitutionalization was the notion that serious, chronic mental disorders could be minimized, if not totally prevented, through care provided within the local community. 

''This philosophical and ideological shift in thinking was not adequately validated, yet it became one of the major conceptual bases for moving the locus of care,'' they said in a recent study.
Value and Danger in Drugs 

Some problems have actually been brought on for mental patients by long-term use of drugs. This condition has been considered by Dr. Loren Mosher of the Uniformed Services Medical University in Bethesda, Md., who says that from 15 percent to 40 percent of such mental patients develop uncontrollable movements of the mouth and neck that can only be cured by taking people off the drugs. 

The consensus seems to be that the more intelligent approach to the overall problem is to realize both the limitations and value of the drugs, the importance of combining drug treatment with proper care - either in hospitals or local clinics, depending on the individual case - and that mental illness is a sociological fact that cannot be ignored simply out of a desire to save tax dollars. 

Jack R. Ewalt, who directed the staff of the Joint Commission when it was founded in 1955, says now that he remains ''a great believer in the use of drugs, but they are just another treatment, not a magic.''
''Drugs can help people get back to the community,'' he said, ''but they have to have medical care, a place to live and someone to relate to. They can't just float around aimlessly.'' 

Dr. Ewalt said the 1963 act was supposed to have the states continue to take care of the mentally ill but that many states simply gave up and ceded most of their responsibility to the Federal Government. 

''The result was like proposing a plan to build a new airplane and ending up only with a wing and a tail,'' Dr. Ewalt said. ''Congress and the state governments didn't buy the whole program of centers, plus adequate staffing, plus long-term financial supports.''

10.26.2013

Democrats Rob Gwynn to Pay Paul and Cut Food Stamps, Recipients Receive State Prisoner Rate For Daily Food Purchase

In 1978, when I was just 17, my mother suffered a dissecting cerebral aneurism.  Emergency surgery saved her life, but left her hemiplegic and totally disabled.  Overnight, she - and by association - our family - went from a pretty typical middle class income to less than half of what the 2012 baseline poverty amount would be for a family of 3 (obviously, in 1977 poverty income designations were lower, but I assure you, we were plunged into abject poverty):

2012 Poverty Guidelines for the
48 Contiguous States and the District of Columbia
Persons in
family/household
Poverty guideline
1 $11,170
2 15,130
3 19,090
4 23,050
5 27,010
6 30,970
7 34,930
8 38,890
For families/households with more than 8 persons,
add $3,960 for each additional person.

My 14 year old sister and I also immediately became caregivers to a mother who was now disabled, aphasic, and in need of a level of care we were woefully unequipped to deal with.  To survive this abrupt and dramatic change to our lives, my sister and I both began working full time in order to keep the lights on and salvage something of our and our mother's lives. 

That experience and the hell it put our family through, both from the terrible tragedy that struck our mother and the long-term impact the loss of her income had on our family, our plans for education and our futures cannot be fully described in a way that would help you understand what it was really like.  No words can truly describe the emotional roller coaster ride the threads of misery and hardship her disability catapulted on all of us, and it is impossible to measure the total impact that one event set in motion for our lives.

Today, decades later, much of that misery has faded, and there is truth to the saying that "time heals all wounds."  But I will never forget how terribly hard it was to try and budget her bills, medications, and food on the pittance she was receiving from Social Security Disability Insurance.  I was a 17 year old boy, raising not only my sister, but my mother now too, and my own life was no longer about me, but instead about caring for a family that had no one else and absolutely no resources beyond what social security and my minimum wage dishwashing job brought into the home.

That I was unprepared to assume that level of responsibility is an understatement of monumental proportions.  That I actually pulled it off for the next 20 years until my mother passed away from brain cancer is damned near unbelievable.  Trust me when I tell you however, that we all paid a very heavy price in the process, and my sister and I are both still working through a lifetime of raising ourselves by ourselves.

So when I read about someone like Pamela Gwynn below, I'm instantly re-traumatized, angry - no, outrageously PISSED - and want to start sticking my foot into the asses of policymakers who clearly are clueless to the real impact of poverty on not only those who are forced, due to medical issues, into it, but on those who depend on that person, as well.
"Gwynn, 63, said a series of brain surgeries in the late 1990s left her partially deaf and reliant on $731 per month in disability benefits from the Social Security Administration. Her monthly food stamp benefit will go down from $91 to $80. Gwynn did some arithmetic and figured that would leave her 88 cents per meal."
 Anyone with even a shred of compassion and concern about others should be instantly angry at the thought of anyone, disabled or not, who must try and feed themselves on less than $2.70 a day.  Even prisoners get a better deal than Pamela Gwynn, because their money is "collective" and can purchase food in bulk, dropping the price considerably.  This isn't an option for the Gwynns in our country, for a myriad of reasons.

When Gwynn's daily food allowance is compared to the average cost of food per person per day, your blood pressure should be just about at the "stroke" point.  And if you aren't experiencing a numb and tingly left arm, pain in your chest and shortness of breath after reading that DEMOCRATS have "robbed Gwynn to pay Paul" and don't appear to give two shits about the Gwynns they've robbed, then you are either a DINO, a Republican, a Teabagger, or a broccoli spear and, knowing what I do about the unbelievable misery and hardship that accompanies poverty, I hope you spend the rest of your days living in it.

It is time to stop this goddammed assault on our poor and disabled.  Let your voice be heard. For those suffering the indignities, humiliations, stigma, and oppression that poverty brings, it is time to become:
 


























Food Stamp Decrease Set For November 


Arthur Delaney
WASHINGTON -- Next month food stamp benefits will automatically shrink for all 47 million Americans enrolled in the Supplemental Nutrition Assistance Program.

Pamela Gwynn of Crawfordsville, Ind., heard about the cut in a letter from the Indiana Family and Social Services Administration. The letter explained that a federal law called the American Recovery and Reinvestment Act, commonly known as the "stimulus package," had given food stamp recipients a temporary boost in 2009.

"The increased benefits provided by this law are expected to expire on November 1, 2013," the letter said. "Most families will see their benefits decrease in November due to the end of the extra benefits provided by the 2009 law."

Gwynn, 63, said a series of brain surgeries in the late 1990s left her partially deaf and reliant on $731 per month in disability benefits from the Social Security Administration. Her monthly food stamp benefit will go down from $91 to $80. Gwynn did some arithmetic and figured that would leave her 88 cents per meal.

"Eighty-eight cents won't buy anything except a cup of ramen noodles," she said. "They just keep cutting and cutting. Eighty-eight cents -- you cannot even buy a can of tuna for 88 cents."

The Recovery Act's food stamp boost was not supposed to disappear so abruptly. The plan had been to leave the increase in place until inflation caught up through annual adjustments to SNAP benefit levels, which had been expected to happen in 2015. But congressional Democrats essentially raided the cookie jar, using the future planned spending to offset the cost of priority legislation in 2010. They said at the time that they would put the money back before any decrease could take effect, but they have not kept their promise.

The government calculated the food stamp stimulus increase by taking the level of benefits for the U.S. Department Agriculture's "Thrifty" food plan in June of 2008 and increasing it by 13.6 percent. In November, the USDA will reset benefit levels to the Thrifty plan level from last June.

A family of four receiving full benefits will get $36 less, while single households will get $11 less. People receiving the minimum benefit, just $16, will receive $1 less. Nationally, the reduction amounts to $5 billion next year, according to the Center on Budget and Policy Priorities. It's the first month-to-month food stamp benefit drop ever.

The decrease is automatic and completely separate from an ongoing debate in Congress over how much SNAP spending should be cut starting next year. Republicans in the House of Representatives want to cut the program by 5 percent, which would result in 3.8 million fewer Americans receiving benefits in 2014. But Senate Democrats are unlikely to go along; if the two chambers can't compromise, benefits will probably continue with no additional cuts.

The November reduction will be the second federal cutback affecting Gwynn's food resources this year. In the spring, across-the-board budget reductions known as "sequestration" trimmed funding for senior nutrition programs supported by the Administration on Aging. Gwynn said she used to receive a hot lunch every weekday.

"They took my lunches away because the sequester cut their budget so much they couldn't afford to pay the driver and they cut back to a once-a-week delivery," Gwynn said. The local agency on aging offered to bring seven frozen meals once per week, but Gwynn said no thanks. "When you live in an apartment you do not have a freezer large enough to hold what you already have in there and seven meals."

Gwynn said she won't starve. She's been getting by with dinner as her only substantial meal.
"I drink a glass of V-8 juice in the morning," she said. "I don't eat breakfast other than that and I don't eat lunch because I just can't afford to buy that much. I will eat a cup of soup if I get hungry."

10.24.2013

"Our real problem regarding educational outcomes is not the U.S. overall, it’s the growing low-income population.”

"Poverty-related concerns impair cognitive capacity. Simply put, being poor taps out one's mental reserves. This could explain data showing that the poor are likelier than others to behave in ways that are harmful to health and impede long-term success—in short, behaviors that can perpetuate a disadvantaged state."  ~Kathleen D. Vohs
 Over the past 50 years I've experienced first-hand the benefits of education in lifting me from indigence, helping me overcome an addiction, and making me a more well-rounded, socially conscious, politically astute participant in my community.  There is no doubt that an education delivered to me the tools, skills and knowledge needed to escape the chains of poverty and can be considered the "great equalizer" for those saddled with the challenges and barriers brought about by a life lived poor and without resources.

But that education came in fits and starts, and my primary and secondary school experiences were terribly challenging and at times traumatic for several reasons.  First, I actually had ADHD (unlike so many kids today whose teachers just want them docile and drooling) and school bored me to tears.  In those days, schools and instructors were woefully unequipped to deal with challenging students, especially smart ones. Second,  I was constantly changing schools as my parent moved for job demands and by the time I was 14, I'd been in a different school for each year of my education and one year attended 5 different schools.  By the time I entered 7th grade, I was using marijuana heavily and my hatred of authority was expanding with every disciplinary action I received at the hands of an utterly clueless education system.  It was also at 14 that I decided there was something better for me than school, so I disappeared from the education system and began working with a fake ID.

It wasn't until I entered the job market in 1974 and worked the next ten years that I began to realize the critical importance of education.  Like most people who drop out of school, I held a number of both factory and restaurant shit-jobs, endured "supervision" by megalomaniac tyrants whose only qualification that exceeded mine was their high school diploma, and my hatred of authority blossomed.  About that time I also became politically aware, thanks to both the Vietnam war and the resignation of President Richard Nixon, and, influenced heavily by my peers from the "Summer of Love" generation, I embraced my counterculture cohorts and tried to survive for the next 20 years in an environment that increasingly tried to exert its authority over us.

That didn't go so well for either of us, which is why I'm in a position today to share the missteps of that journey with others in order to support them as they navigate their way through a life that doesn't come with a very good instruction manual.

Hindsight is 20/20 of course, and education helped me craft the lens that provided the clarity I needed to figure out where I'd gone wrong, and more importantly, how I could get back on track.

It was education that taught me to think critically; control my temper and my ADHD impulsivenesss; and informed me about my addiction and how to control it.  Education also provided me an opportunity to earn a real living after toiling in dead end jobs for what seemed like three lifetimes.  Education was also the great equalizer for me, helping me overcome publicly recorded errors of judgement done in my ignorance and youth. Granted, this didn't come from primary schooling but instead from college.  However, had I been able to receive a quality education from a primary school that was familiar with, and receptive to, the needs of a diverse student population (and especially those who are cognitively impacted by the toll poverty takes on them) it is likely that I would have been spared at least some of the agony my missteps and mistakes brought me.

Both poverty and the work experience on assembly lines and commercial kitchens is a powerful motivator for something better, and I can tell you unequivocally as a "hairnet and name-tag graduate," we "re-entry" students come to class with a commitment to learn that most of our younger classmates cannot understand or compete against.  We've struggled against incredible odds, worked 80 hours a week at jobs just to keep a roof over our heads and the lights on, and never achieved anything remotely resembling an "American dream" that we'd been told was within everyone's grasp back in primary school. When we come back to school as grown adults with substantial work histories, one thing I can tell you we all know is that we never want to go back to that existence.

Education also helped me discover and understand Maslow's Hierarchy of Needs, and as I climbed the hierarchical ladder, I began to understand more clearly why the lack of education had such enormous impacts upon not just oneself, but upon the entire community, nation and world. 

Today I work closely with a large peer cohort in the behavioral health system who are very much like me and who also work within this cohort to deliver services to those who, for a variety of reasons, are still working on the first couple of steps in the Hierarchy. 

This perspective, coupled with a decent education and more lived experience than Carter's got pills, helps me understand how it is that some people can consistently vote against their own best interests time after time, making their lives that much more challenging in the process.

This isn't new news to anyone familiar with the formation of our "representative" democracy. Thomas Jefferson, writing in 1820 to William Jarvis, stated,
"I know no safe depositary of the ultimate powers of the society but the people themselves; and if we think them not enlightened enough to exercise their control with a wholesome discretion, the remedy is not to take it from them, but to inform their discretion by education."

A Smithsonian article, Separate Is Not Equal: Brown v. Board of Education, get's us closer to what I think is happening to us as a country today:
"Americans have long believed that a healthy democracy depends in part on free public education. The nation’s founders stressed that an educated citizenry would better understand their rights and help build a prosperous nation. Beginning in the early 1800s, the federal government and the states encouraged a public school system, largely under local control. For millions of children, the American public school movement opened new opportunities. But millions of others were excluded because of their race or ethnicity. Segregated education was designed to confine these children to a subservient role in society and second-class citizenship."
It's the "segregated education" statement in the Smithsonian piece that most alarms me, because we've increasingly starved the public school systems in this country and diverted those dollars a number of other areas, but much has gone to charter schools and....prisons. Both charter schools and prisons have a defacto segregating effect, separating a certain group or class of people from the others, and both place a drain on the available funds for primary public schools.

Perhaps the most insidious part of this decline in education is the impact of the criminal justice system on those who. already harmed from the lack of quality education in schools that barely have enough money to keep the doors open, lose the ability to work, receive an education, or even find housing as a result of that conviction.  Steven Hawkins, in his article Education versus Incarceration, tells us that,
"Whether we look back over the last two decades, or just the last two years, education, in particular, has become a casualty of state budget battles. Analysis by the National Association of State Budget Officers shows that elementary and high schools receive 73 percent of their state funding from this discretionary fund; colleges and universities count on the fund for half of their budgets. However, $9 out of every $10 that support imprisonment come from the same pot of money. With tens of billions of dollars in prison spending annually, states are finding that there is simply less discretionary money available to invest in education, especially in these lean economic times."
What's interesting here is that when you review the per student spending on public education across the country, many of the states in the South and West who now have majorities of "poor children" attending them also have significant spending cuts to their public education budget.

I haven't compared crime rates in states with the largest cuts to public education, and it would certainly be interesting to see if there is a correlation; perhaps that will be the subject of another post.

There's an old saying about data analysis: "junk in, junk out."  The more you restrict or limit the opportunity for quality education, the more challenging it becomes for those on the receiving end of substandard or downright lousy education to escape the chains of poverty.

When people are unable to think critically, to examine issues with objectiveness, to be able to set aside judgments and rhetoric, to determine even what a primary source might look like, they are then often also unable to make informed decisions about who will represent them in our political system.

The worse the representation, the more likely it is that very bad decisions are going to be made by those they've chosen to represent them.  Obviously, this is a very vicious cycle, with extraordinarily consequences that we're beginning to see manifesting themselves right now...

Study: Poor children are now the majority in American public schools in South, West



A majority of students in public schools throughout the American South and West are low-income for the first time in at least four decades, according to a new study that details a demographic shift with broad implications for the country.

The analysis by the Southern Education Foundation, the nation’s oldest education philanthropy, is based on the number of students from preschool through 12th grade who were eligible for the federal free and reduced-price meals program in the 2010-11 school year.
 
Graphic
Low-income students made up at least half the public school student population in 17 states in 2011, a marked increase from 2000, when four states topped 50 percent.
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Low-income students made up at least half the public school student population in 17 states in 2011, a marked increase from 2000, when four states topped 50 percent.



The meals program run by the Department of Agriculture is a rough proxy for poverty, because a family of four could earn no more than $40,793 a year to qualify in 2011.

Children from those low-income families dominated classrooms in 13 states in the South and the four Western states with the largest populations in 2011, researchers found. A decade earlier, just four states reported poor children as a majority of the student population in their public schools.

But by 2011, almost half of the nation’s 50 million public-school students — 48 percent — qualified for free or reduced-price meals. In some states, such as Mississippi, that proportion rose as high as 71 percent.

In a large swath of the country, classrooms are filling with children who begin kindergarten already behind their more privileged peers, who lack the support at home to succeed and who are more than likely to drop out of school or never attend college.

“This is incredible,” said Michael A. Rebell, the executive director of the Campaign for Educational Equity at Columbia University, who was struck by the rapid spike in poverty. He said the change helps explain why the United States is lagging in comparison with other countries in international tests.

“When you break down the various test scores, you find the high-income kids, high-achievers are holding their own and more,” Rebell said. “It’s when you start getting down to schools with a majority of low-income kids that you get astoundingly low scores. Our real problem regarding educational outcomes is not the U.S. overall, it’s the growing low-income population.”

Southern states have seen rising numbers of poor students for the past decade, but the trend spread west in 2011, to include rapidly increasing levels of poverty among students in California, Nevada, Oregon and New Mexico.

The 2008 recession, immigration and a high birthrate among low-income families have largely fueled the changes, said Steve Suitts, vice president of the Southern Education Foundation and an author of the study.

Maryland and Virginia were the only Southern states where low-income children did not make up a majority of public-school students. About one-third of students in public schools in Maryland and Virginia qualified for the free and reduced meals program in 2011.

Hank Bounds, the Mississippi commissioner of higher education, said the country needs to figure out how to educate the growing classes of poor students and reverse the trend.

“Lots of folks say we need to change this paradigm, but as a country, we’re not focusing on the issue,” said Bounds, who was previously Mississippi’s state school superintendent. “What we’re doing is not working. We need to get philanthropies, the feds, business leaders, everybody, together and figure this out. We need another Sputnik moment.”
 
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Science
Vol. 341 no. 6149 pp. 976-980
DOI: 10.1126/science.1238041
Research Article

Poverty Impedes Cognitive Function

  1. Jiaying Zhao4
+ Author Affiliations
  1. 1Department of Economics, University of Warwick, Coventry CV4 7AL, UK.
  2. 2Department of Economics, Harvard University, Cambridge, MA 02138, USA.
  3. 3Department of Psychology and Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, NJ 08540, USA.
  4. 4Department of Psychology and Institute for Resources, Environment and Sustainability, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada.
  1. *Corresponding author. E-mail: mullain@fas.harvard.edu (S.M.); shafir@princeton.edu (E.S.)
The poor often behave in less capable ways, which can further perpetuate poverty. We hypothesize that poverty directly impedes cognitive function and present two studies that test this hypothesis. First, we experimentally induced thoughts about finances and found that this reduces cognitive performance among poor but not in well-off participants. Second, we examined the cognitive function of farmers over the planting cycle. We found that the same farmer shows diminished cognitive performance before harvest, when poor, as compared with after harvest, when rich. This cannot be explained by differences in time available, nutrition, or work effort. Nor can it be explained with stress: Although farmers do show more stress before harvest, that does not account for diminished cognitive performance. Instead, it appears that poverty itself reduces cognitive capacity. We suggest that this is because poverty-related concerns consume mental resources, leaving less for other tasks. These data provide a previously unexamined perspective and help explain a spectrum of behaviors among the poor. We discuss some implications for poverty policy.
A variety of studies point to a correlation between poverty and counterproductive behavior. The poor use less preventive health care (1), fail to adhere to drug regimens (2), are tardier and less likely to keep appointments (3, 4), are less productive workers (5), less attentive parents (6), and worse managers of their finances (79). These behaviors are troubling in their own right, but they are particularly troubling because they can further deepen poverty. Some explanations of this correlation focus on the environmental conditions of poverty. Predatory lenders in poor areas, for example, may create high-interest-rate borrowing, and unreliable transportation can cause tardiness and absenteeism. More generally, poverty may leave less room for error so that the “same” mistake can lead to worse outcomes (10, 11). Other explanations focus on the characteristics of the poor themselves. Lower levels of formal education, for example, may create misunderstandings about contract terms, and less parental attention may influence the next generation’s parenting style.
We propose a different kind of explanation, which focuses on the mental processes required by poverty. The poor must manage sporadic income, juggle expenses, and make difficult tradeoffs. Even when not actually making a financial decision, these preoccupations can be present and distracting. The human cognitive system has limited capacity (1215). Preoccupations with pressing budgetary concerns leave fewer cognitive resources available to guide choice and action. Just as an air traffic controller focusing on a potential collision course is prone to neglect other planes in the air, the poor, when attending to monetary concerns, lose their capacity to give other problems their full consideration.
This suggests a causal, not merely correlational, relationship between poverty and mental function. We tested this using two very different but complementary designs (16, 17). The first is a laboratory study: We induced richer and poorer participants to think about everyday financial demands. We hypothesized that for the rich, these run-of-the-mill financial snags are of little consequence. For the poor, however, these demands can trigger persistent and distracting concerns (18, 19). The laboratory study is designed to show that similarly sized financial challenges can have different cognitive impacts on the poor and the rich. But, the study cannot fully capture our hypothesis that in the world, the poor face more challenging demands. In principle, the cognitive impact in situ may be different given that the scale of the problems can vary between the rich and the poor. Perhaps the rich in the world face larger monetary problems that also cause greater load. Perhaps the poor manage to restructure their lives so that they do not face as many cognitively challenging problems. Put simply, the laboratory study, although illustrating the mechanism, does not show its relevance in natural settings.
Our second study takes a different approach and allows us to assess what happens when income varies naturally. We conducted a field study that used quasi-experimental variation in actual wealth. Indian sugarcane farmers receive income annually at harvest time and find it hard to smooth their consumption (20). As a result, they experience cycles of poverty—poor before harvest and richer after. This allows us to compare cognitive capacity for the same farmer when poor (pre-harvest) versus richer (post-harvest). Because harvest dates are distributed arbitrarily across farmers, we can further control for calendar effects. In this study, we did not experimentally induce financial concerns; we relied on whatever concerns occurred naturally. We were careful to control for other possible changes, such as nutrition and work effort. Additionally, we accounted for the impact of stress. Any effect on cognitive performance then observed would thus illustrate a causal relationship between actual income and cognitive function in situ. As such, the two studies are highly complementary. The laboratory study has a great deal of internal validity and illustrates our proposed mechanism, whereas the field study boosts the external validity of the laboratory study.
We note two observations about these studies. First, they sidestep the discussion on whether poverty is best defined in absolute or relative terms (21). Because our hypothesis is about how monetary concerns tax the cognitive system, we define poverty broadly as the gap between one’s needs and the resources available to fulfill them. Because this is based on subjective needs, it encompasses low-income individuals both in the developing and the developed world as well as those experiencing sharp transitory income shocks, such as the unemployed. Second, existing theory and data suggest a possibly cumulative long-term impact of poverty on cognition (22, 23): Childhood poverty may hinder brain development and eventually reduce adult cognitive capacity (24). Our hypothesis and tests focus on an immediate impact of poverty on cognition: Budgetary preoccupations can in real time impede cognitive function. Our proposed mechanism does not operate through brain development at early childhood but through an immediate cognitive load caused by financial concerns. Whether this mechanism also contributes to the long-term impacts is an open question.

The Laboratory Studies

The first study consisted of four experiments, with shoppers at a New Jersey mall who participated for pay (details are available in the supplementary materials). This sample encompasses a diverse income range, with the median household income at roughly $70,000 and a lower bound of roughly $20,000. This, broadly speaking, provides a cross-section of the United States, with the poor in our sample roughly corresponding to those in the lower quartile or third of the U.S. income distribution. We computed effective income by dividing household income by the square root of household size (25) and defined “rich” and “poor” through a median split on this variable (26).
In experiment 1, participants (n = 101) were presented with four hypothetical scenarios a few minutes apart. Each scenario described a financial problem the participants might experience. For example: “Your car is having some trouble and requires $X to be fixed. You can pay in full, take a loan, or take a chance and forego the service at the moment... How would you go about making this decision?” These scenarios, by touching on monetary issues, are meant to trigger thoughts of the participant’s own finances. They are intended to bring to the forefront any nascent, easy to activate, financial concerns.
After viewing each scenario, and while thinking about how they might go about solving the problem, participants performed two computer-based tasks used to measure cognitive function: Raven’s Progressive Matrices and a spatial compatibility task. The Raven’s test involves a sequence of shapes with one shape missing (27). Participants must choose which of several alternatives best fits in the missing space. Raven’s test is a common component in IQ tests and is used to measure “fluid intelligence,” the capacity to think logically and solve problems in novel situations, independent of acquired knowledge (28, 29). The spatial incompatibility task requires participants to respond quickly and often contrary to their initial impulse. Presented with figures on the screen, they must press the same side in response to some stimuli but press the opposite side in response to others. The speed and accuracy of response measures cognitive control (30), the ability to guide thought and action in accordance with internal goals (31). Both are nonverbal tasks, intended to minimize the potential impact of literacy skills. Upon completion of these tasks, participants responded to the original scenario by typing their answers on the computer or speaking to a tape recorder and then moved on to the next scenario (an analysis of participants’ responses to the scenarios is available in table S1). We also collected participants’ income information at the end of the experiment.
Participants were randomly assigned either to a “hard” condition, in which the scenarios involved costs that were relatively high (for example, the car would require $1500 to fix); or to an “easy” condition, where costs were lower (for example, the car would require $150 to fix). Because the sums in the easy condition are small, we expected this condition to evoke few of one’s own monetary concerns, for either poor or rich participants. In contrast, the large sums in the hard condition, we hypothesized, would evoke monetary concerns in the poor but not in the rich participants.
Cognitive performance in experiment 1 is plotted in Fig. 1. For the financially “easy” scenarios, designed to generate relatively trivial concerns, the poor and rich performed similarly [Raven’s: t(50) = 0.13, P = 0.90; cognitive control: t(50) = 1.55, P = 0.13]. In contrast, in the context of the financially “hard” condition, the poor performed significantly worse than did the rich on both Raven’s [t(47) = 3.21, P < 0.01] and on cognitive control [t(47) = 5.22, P < 0.001]. A two-way analysis of variance revealed a robust interaction between income and condition [Raven’s: F(1,97) = 5.12, P = 0.03; cognitive control: F(1,97) = 7.86, P < 0.01]. In both tasks, the rich were uninfluenced by condition [Raven’s: t(48) = 0.56, P = .58; cognitive control: t(48) = 1.04, P = 0.30], whereas the poor performed significantly worse in the hard condition [Raven’s: t(49) = 2.63, P = 0.01; cognitive control: t(49) = 3.98, P < 0.001]. As a result, the poor performed reliably worse than the rich performed overall [Raven’s: F(1,97) = 5.61, P = 0.02; cognitive control: F(1,97) = 23.24, p < 0.001]. The magnitudes of the effect here are substantial, with Cohen’s d in this and ensuing replications ranging between 0.88 and 0.94.
Fig. 1 Accuracy on the Raven’s matrices and the cognitive control tasks in the hard and easy conditions, for the poor and the rich participants in experiment 1.
(Left) Performance on the Raven’s Matrices task. (Right) Performance on the cognitive control task. Error bars reflect ±1 SEM. Top horizontal bars show two-way interaction (poor versus rich × hard versus easy). *P < 0.05, **P < 0.01, ***P < 0.001
To rule out the effect of “math anxiety,” experiment 2 used the same set of numbers as in experiment 1 but with nonfinancial scenarios. This recreates a mathematical problem but without evoking financial concerns. There was no interaction between the difficulty of the scenario and participants’ income (further details are available in supplementary materials, experiment 2). Thus, the reduced cognitive performance in the poor participants in experiment 1 was not due to anxiety with large numbers.
Experiment 3 added incentives to experiment 1: In addition to the standard participation fee, participants earned $0.25 for every correct response on both tasks. Performance in experiment 3 (n = 100 participants) is summarized in Fig. 2. As before, the poor performed similarly to the rich in the easy condition [Raven’s: t(46) = 0.26, P = 0.79; cognitive control: t(46) = 1.02, P = 0.31] and worse in the hard condition [Ravens: t(50) = 3.34, P < 0.01; cognitive control: t(50) = 3.54, P < 0.001]. The rich performed equally well in the easy and hard conditions [Raven’s: t(45) = 0.07, P = 0.94; cognitive control: t(45) = 1.42, P = 0.16], whereas the poor performed significantly worse in the hard condition [Raven’s: t(51) = 3.75, P < 0.001; cognitive control: t(51) = 3.67, P < 0.001], yielding a robust interaction between income and scenario [Raven’s: F(1,96) = 4.34, P = 0.04; cognitive control: F(1,96) = 4.31, P = 0.04]. Despite the incentives, and the fact that they presumably needed the money more, the poor performed worse overall [Raven’s: F(1,96) = 6.55, P = 0.01; cognitive control: F(1,96) = 11.88, P < 0.001] and earned 18% ($0.71) less than the rich earned.
Fig. 2 Accuracy on the Raven’s matrices and the cognitive control tasks in the hard and easy conditions, for the poor and the rich participants, when incentives were provided in experiment 3.
(Left) Performance on Raven’s Matrices task. (Right) Performance on cognitive control task. Error bars reflect ±1 SEM. Top horizontal bars show two-way interaction (poor versus rich × hard versus easy). *P < 0.05, ***P < 0.001.
The hypothetical scenarios are intended to trigger participants’ financial concerns. Yet in experiments 1 to 3, the cognitive tests themselves may have created additional load because they were performed while the participant was contemplating the scenarios. To rule this out, experiment 4 (n = 96 participants) replicated experiment 1, except that participants finished responding to each scenario before proceeding to the Raven’s and cognitive control tasks. That is, participants viewed each scenario as in experiment 1, responded to the scenario, and only then completed the Raven’s and cognitive control tasks. Because there were no intervening tasks between scenario presentation and response, we added a few scenario-relevant questions in order to equate the time spent with that of experiment 1. Performance is summarized in Fig. 3.
Fig. 3 Accuracy on the Raven’s matrices and the cognitive control tasks in the hard and easy conditions, for the poor and the rich participants in experiment 4.
(Left) Performance on Raven’s Matrices task. (Right) Performance on cognitive control task. Error bars reflect ±1 SEM. Top horizontal bars show two-way interaction (poor versus rich × hard versus easy). *P < 0.05, **P < 0.01, ***P < 0.001.
The results match those in experiments 1 and 3. As before, there was a robust interaction between income and condition [Raven’s: F(1,92) = 4.04, P = 0.04; cognitive control: F(1,92) = 6.66, P = 0.01]; the rich and poor performed similarly in the easy condition [Raven’s: t(48) = 0.41, P = 0.69; cognitive control: t(48) = 0.43, P = 0.67], and the poor performed significantly worse than the rich performed in the hard condition [Ravens: t(44) = 3.55, P < 0.001; cognitive control: t(44) = 3.34, p = .002]. Condition was insignificant for the rich [Raven’s: t(47) = 0.08, P = 0.93; cognitive control: t(47) = 0.72, P = 0.47], but significant for the poor [Raven’s: t(45) = 3.26, P = 0.002; cognitive control: t(59) = 3.94, P < 0.001]. Again, the poor performed worse than the rich performed overall [Raven’s: F(1,92) = 6.42, P = 0.01; cognitive control: F(1,92) = 8.74, P = 0.004].
Although remarkably consistent, these findings have limitations. The causal attribution made possible by laboratory studies comes at the expense of some external validity. For example, in experiment 4 the hypothetical scenarios themselves—even after answers were given—may still have weighed on people’s minds. More generally, in all the experiments we explicitly primed monetary concerns. Such explicit priming may not mirror naturally occurring circumstances. It is possible that environments in which one is richer bring to mind other concerns (such as bigger purchases), creating load comparable with that experienced by the poor. It is also possible—though less plausible—that the poor structure their lives to avoid these concerns. To address these issues, we conducted the field study.

The Field Studies

Our second study examined 464 sugarcane farmers living in 54 villages in the sugarcane-growing areas around the districts of Villupuram and Tiruvannamalai in Tamil Nadu, India. These were a random sample of small farmers (with land plots of between 1.5 and 3 acres) who earned at least 60% of their income from sugarcane and were interviewed twice—before and after harvest—over a 4-month period in 2010. There were occasional nonresponses, but all of our pre-post comparisons include only farmers we surveyed twice.
A challenge with pre-post comparisons is calendar effects: Differences between months (such as a festival or the weather) can create a spurious correlation. We overcame this through a particular feature of this context: Farmers’ harvest (and planting) dates are staggered over a 3- to 5-month period being set by sugar mills with processing capacity constraints. One farmer may harvest, for example, in June, whereas another harvests in August. The same month then is pre-harvest for some farmers and post-harvest for others. This feature allows us to control for calendar effects.
Our data show that farmers indeed faced greater financial pressures pre- as compared with post-harvest: They pawned items at a higher rate (78 versus 4%, P < 0.001, n = 462 participants) and were more likely to have loans (99 versus 13%, P < 0.001, n = 461 participants). On average, farmers had 1.97 more loans before harvest than they did after it. They were also more likely to answer “Yes” to the question, “Did you have trouble coping with ordinary bills in the last fifteen days?” (before harvest than after (1.62 and 1.76, respectively, on a 3-point scale, where 1 corresponded to low ability and 3 to high ability to cope; P < 0.001, n = 462 participants). (Regressions adjusted to take out farmer and month fixed effects are shown in Table 1, panel A.)
View this table:
Table 1 Changes in financial situation and cognitive capacity around harvest.
This table presents changes in farmers’ financial situation (panel A) and their cognitive capacity (panel B) before and after harvest. Each coefficient reported here is the result of an ordinary least-squares regression for the dependent variable in the row heading. For instance, row 1 in column 1 shows that on average, a farmer is 56.6% less likely to have pawned his belongings in the 15-day interval before the post-harvest survey than in the same time interval before the pre-harvest survey. These coefficients also account for any differences that may be attributed to the specific months in which tests were taken. Column 1 reports results for the entire sample; column 2 reports results for farmers who had already completed the harvesting process, but had not yet been paid for the harvest, at the time of the first-round survey. Each cell is the coefficient γ from a separate regression of the type yit = αi + βt + γPostHarvestit, where the dependent variable varies in each row. Here, i denotes individuals, t denotes time, y denotes various outcome variables, and PostHarvest is a dummy for whether the observation occurs after harvest. The variables α and β reflect a set of individual and time fixed effects, respectively, controlling for all fixed differences between time periods (months) and individuals. Robust standard errors are in square brackets. *Significant at 10%; **significant at 5%; ***significant at 1%. Main independent variable = 1 for the post-harvest period and 0 pre-harvest.
We again used Raven’s to gauge fluid intelligence. For cognitive control, we could not administer the spatial incompatibility task in the field. Instead, we used a numeric version of the traditional Stroop task, which is appropriate for participants with low literacy rates. In a typical trial, participants would see “5 5 5” and have to quickly respond “3,” which is the number of 5s in the sequence, rather than “5” that comes to mind most naturally. Both response speed and error rates were recorded. Each participant performed 75 trials on the numerical Stroop.
Pre- and post-harvest differences on both tests were pronounced and are illustrated in Fig. 4. On Raven’s, the farmers scored an average of 5.45 items correct post-harvest but only 4.35 items correct pre-harvest (P < 0.001, n = 460 participants). On Stroop, they took an average of 131 s to respond to all items post-harvest, as compared with 146 s pre-harvest (P < .001, n = 452). In addition, the average number of errors the farmers committed was higher before harvest than after (5.93 versus 5.16 errors; P < .001, n = 453).
Fig. 4 Accuracy on the Raven’s matrices and the cognitive control tasks for pre-harvest and post-harvest farmers in the field study.
(Left) Performance on Raven’s matrices task. (Middle and Right) Stroop task (measuring cognitive control) response times (RT) and error rates, respectively; error bars reflect ±1 SEM. Top horizontal bars show test for main effect of pre- versus post-harvest (***P < 0.001).
We also report results of regressions that control for farmer and month fixed effects (Table 1, panel B). Each cell in Table 1 is a distinct regression. Table 1, column 1 shows that even after regression adjustment, strong pre-post harvest differences remain for both Raven’s and Stroop performance. In addition to these pre-post differences, we found that farmers’ perceived intensity of how financially constrained they are—as captured by how they rate their ability to cope with ordinary bills in the preceding 15-day period—correlates negatively with performance on Raven’s and time taken on Stroop tests (table S2).
Other factors besides income that vary pre- and post-harvest could drive these effects. One major candidate is physical exertion; preparing the land for harvest might involve increased physical labor. Another candidate is anxiety over crop yield; farmers might be preoccupied not with making ends meet but with how much they will earn. In practice, neither is likely to be true in the case of sugarcane farming. Farmers typically use external labor on their lands, and sugarcane crop size can be readily estimated months before harvest. Still, to address this further we observe that there is a several-week delay between physical harvest and the actual receipt of payment. Financial burdens are only relieved at the time of payment, but labor and anxiety over crop size are fully resolved at the time of harvest. For 316 farmers in our sample, the “pre-harvest” survey was actually post–physical harvest but pre-payment. We reestimated our equation on this subsample as shown in Table 1, column 2, and found highly similar results, which suggests that neither physical exertion nor anxiety pre-harvest drives our results.
Training effects present another potential confound; post-harvest farmers may do better simply because they are taking the test a second time. To address this, we held back 100 randomly selected farmers at the time of initial sampling. These farmers were surveyed for the first time post-harvest, and their scores were compared with the post-harvest scores of the original sample. If our results were due to learning, we would expect these novice farmers to do worse. Instead, we found that they performed similarly on Raven’s accuracy and Stroop reaction time (table S3), suggesting no training effect. There is some evidence for training effects on Stroop error rates (table S3), but the overall pattern cannot be attributed to simple test familiarity. Taken together, the two sets of studies—in the New Jersey mall and the Indian fields—illustrate how challenging financial conditions, which are endemic to poverty, can result in diminished cognitive capacity.
We have argued that the attentional demands created by poverty are a plausible mechanism (29). But there could be other mediating factors. Nutrition is one candidate—in the harvest findings, if not in the mall study; farmers may eat less when poor. In 2009, we ran a pilot study with the same design in the districts of Thanjavur, Thiruvarur, Perambalur, and Pudokottai in Tamil Nadu, in which we surveyed 188 farmers and also asked about food consumption. We found similar effects on Stroop (1.47 errors post-harvest versus 2.12 errors pre-harvest; P = 0.006 via t test, n = 111 participants). Pre-harvest farmers were not eating less; they spent 2663 rupees a month on food pre-harvest and 2592 rupees post-harvest (roughly $53 and $52, respectively, not accounting for purchasing power parity). Additionally, the Stroop results persist even in regressions in which food consumption is included as a control variable.
A potential explanation of these findings is stress. Financial concerns could reasonably induce stress in pre-harvest farmers. Indeed, we examined biological stress. In the 2009 study, we collected two biomarkers of stress: heart rate and blood pressure. Both measures showed that the farmers were more stressed before the harvest; heart rate was higher pre-harvest than post-harvest (78.42 versus 76.38; P = 0.088 via t test, n = 188 participants), and so were diastolic blood pressure (78.70 versus 74.26, P < 0.001 via t test, n = 188) and systolic blood pressure (128.64 versus 121.56, P < 0.001 via t test, n = 188).
However, these differences in stress do not explain our findings. When we reestimated the impact of harvest on Stroop performance, controlling for all three stress measures, the findings remained significant. In fact, the coefficient on post-harvest did not change [for Stroop, we continued to find a coefficient of –1.46 (0.52) on the post-harvest dummy, with a t of –2.80 and P < 0.006; n = 222 participants]. This suggests that although the pre-harvest farmers did experience stress, stress cannot fully explain the impairment in cognitive function. Our suggested mechanism—that poverty captures attention, triggers intrusive thoughts, and reduces cognitive resources—could itself be described colloquially as “stress”: persistent mental engagement induced by some trigger. The 2009 data, however, suggest that the biological view of stress—as proxied by these biomarkers of stress—is not sufficient to account for our findings. This is consistent with the existing literature on the effects of stress on cognitive function, in which both facilitation and impairment have been found (32). For example, there is evidence that stress can increase working memory capacity (33).
We find attentional capture to be the most compelling explanatory mechanism. It matches findings on the effects of scarcity on borrowing (34) and is consistent with demand and distraction observed in domains of scarcity other than poverty—from insufficient time to limited calorie budgets (35). But surely, other mechanisms might be operating. For example, poverty might influence cognitive load by changing people’s affective state (36, 37). We hope future work will test other mechanisms for explaining these findings.

New Perspectives on Policy

The data reported here suggest a different perspective on poverty: Being poor means coping not just with a shortfall of money, but also with a concurrent shortfall of cognitive resources. The poor, in this view, are less capable not because of inherent traits, but because the very context of poverty imposes load and impedes cognitive capacity. The findings, in other words, are not about poor people, but about any people who find themselves poor.
How large are these effects? Sleep researchers have examined the cognitive impact (on Raven’s) of losing a full night of sleep through experimental manipulations (38). In standard deviation terms, the laboratory study findings are of the same size, and the field findings are three quarters that size. Put simply, evoking financial concerns has a cognitive impact comparable with losing a full night of sleep. In addition, similar effect sizes have been observed in the performance on Raven’s matrices of chronic alcoholics versus normal adults (39) and of 60- versus 45-year-olds (40). By way of calibration, according to a common approximation used by intelligence researchers, with a mean of 100 and a standard deviation of 15 the effects we observed correspond to ~13 IQ points. These sizable magnitudes suggest the cognitive impact of poverty could have large real consequences.
This perspective has important policy implications. First, policy-makers should beware of imposing cognitive taxes on the poor just as they avoid monetary taxes on the poor. Filling out long forms, preparing for a lengthy interview, deciphering new rules, or responding to complex incentives all consume cognitive resources. Policy-makers rarely recognize these cognitive taxes; yet, our results suggest that they should focus on reducing them (11). Simple interventions (41) such as smart defaults (42), help filling forms out (43), planning prompts (44), or even reminders (45) may be particularly helpful to the poor. Policy-makers should further recognize and respond to natural variation in the same person’s cognitive capacity. Many programs that impose cognitive demand on farmers, for example, from HIV education to agricultural extension services (which provide farmers with information about new seeds, pesticides, and agricultural practices) should be carefully timed. At the very least, as our results suggest, they should be synchronized with the harvest cycle, with greater cognitive capacity available post-harvest. One recent study illustrated this with fertilizer. Farmers made higher-return investments when the decision was made right after harvest as compared with later in the season (46). The data suggest a rarely considered benefit to policies that reduce economic volatility: They are not merely contributing to economic stability—they are actually enabling greater cognitive resources.

Supplementary Materials

Materials and Methods
Figs. S1 and S2
Tables S1 to S3
References and Notes
  • Received for publication 19 March 2013.
  • Accepted for publication 23 July 2013.

References and Notes

  1. This design resembles “stereotype threat” studies, in which identity-relevant primes diminish cognitive performance (19).
  2. Alternative measures, such as dividing household income by number of people in the household, yield similar findings.
  3. Acknowledgments: Authors’ names are listed alphabetically; the authors contributed equally to this work. The authors gratefully acknowledge support from the National Science Foundation (award SES-0933497), the John Simon Guggenheim Memorial Foundation, the International Finance Corporation, and the Institute for Financial Management and Research Trust. S. Krishnan, D. Mackenzie, and especially D. Bulla provided able research assistance. The authors declare no conflict of interest.
 
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Science
Vol. 341 no. 6149 pp. 969-970
DOI: 10.1126/science.1244172
Perspective Psychology

The Poor's Poor Mental Power

  1. Kathleen D. Vohs
+ Author Affiliations
  1. Marketing Department, University of Minnesota, 321 19th Avenue South, Minneapolis, MN 55455, USA.
  1. E-mail: kvohs@umn.edu
Few people wish to be poor. Many find it puzzling that those in poverty seem to get stuck in that state, even when there are opportunities to improve one's lot. On page 976 of this issue, Mani et al. (1) provide a possible reason: Poverty-related concerns impair cognitive capacity. Simply put, being poor taps out one's mental reserves. This could explain data showing that the poor are likelier than others to behave in ways that are harmful to health and impede long-term success—in short, behaviors that can perpetuate a disadvantaged state.
The eye-opening study of Mani et al. included laboratory experiments and field studies that tested the “cognitive constraint” hypothesis. One experiment gave individuals who were poor (defined by household income) hypothetical financial decisions, followed by tasks that measured mental abilities. Poor people who earlier had contemplated a difficult financial decision showed worse mental performance than others. A study of farmers demonstrated that the mental acuities of the same person varied with swings in income. Farmers were given challenging cognitive tests before and after harvest. Before harvest, the farmers experienced much financial strain, whereas after harvest (and the receipt of payments), they did not. The results showed clear and demonstrable improvement in cognitive capacity after harvest. This outcome held after accounting for the stress of pre-harvest periods. The authors propose that poverty imposes a cognitive load, which impairs cognitive capacity.
The depletion of mental functioning with poverty comports with a framework called the limited-resource model of self-control. Failures of self-control are implicated in some of society's most pressing problems, including poverty (16). When people want to reach a goal, they use self-control to produce responses and behaviors aimed at moving themselves from the current (undesirable) standpoint to the preferred state. This powerful process, however, is not used as often as it should be. One reason is that self-control is a limited and depletable resource (7). When people use self-control, it is like top-flight running for a cheetah, in which a brief period of exertion results in exhaustion.
Mental toll.
People become progressively worse at self-control the more they have engaged in self-control previously. The more that people used self-control not to give into desires earlier in the day, the more likely it was that a desire impelled an impulsive behavior later in the day. This situation is akin to poverty, which requires that people often battle back desires. Adapted from (12).
CREDIT: H. MACDONALD/SCIENCE
 
Everyone must regulate eating and spending, and wearing down self-control resources leads to detrimental behaviors for both. In one study, people made to resist the lure of delicious chocolates later showed worse performance on demanding mental tasks and at managing negative emotions. Moreover, it led to overeating unhealthy foods (8). In another situation, participants were given cash to spend or keep. Those who earlier had used self-control to suppress unwanted thoughts later spent more money and reported stronger desires to spend all the newfound cash. The depletion of self-control ability led to unwise spending (9). Both examples suggest a vicious cycle: Overcoming urges and making decisions can deplete mental resources, which in turn can lead to problematic behaviors. Because the poor must overcome more urges and make difficult decisions more often than others, they are more likely to overeat, overspend, and enact other problematic behaviors.
Self-control may be the greatest human strength (6) because it is involved in the ability to make wise choices. Several studies have found that after using self-control (and thus reducing the resource), decision-making patterns shift toward favoring intuitive over reasoned options (10). For example, options were constructed so that they were extreme on some dimensions (e.g., expensive and high quality) or balanced (moderate price and modest quality). Choosing the latter reflects the use of deliberate cognitive strategies to accept trade-offs. Those who earlier had engaged in self-control activities preferred extreme options that required fewer trade-offs. Moreover, the process of making trade-offs itself requires self-control (11). These findings suggest that decisions requiring many trade-offs, which are common in poverty, render subsequent decisions prone to favoring impulsive, intuitive, and often regrettable options.
Regulating urges and desires, even basic ones such as for sleep and leisure, exacts a cumulative effect. Researchers surveyed people seven times a day for several days, tracking their recent desires, attempts at resistance, and whether they performed behaviors implied by the desires. In line with the limited-resource model, people became progressively worse at self-control the more they resisted unwanted desires (12) (see the figure).
Chronic pain may be analogous to poverty (13) as these patients' behaviors parallel those seen by Mani et al. Patients with fibromyalgia, a chronic pain disorder, performed a task that either did or did not require focused attention (comparable to the focus required to drive during pummeling rain, for example). Afterward, they were given a challenging cognitive task. The outcomes were striking. Patients with chronic pain had poor cognitive performance regardless of whether they earlier had used self-control or not. By contrast, healthy individuals showed the standard depletion effect of worse performance only after previous exertion of self-control. These findings imply that there may be entire segments of people who, like the poor and those chronically in pain, suffer constant self-control depletion.
The limited-resource model of self-control points to the following state of affairs for people in poverty. Resisting urges and controlling one's behavior drains self-control resources. The poor must resist and control more than others because they have less money, food, and expendable time. Such limited supplies demand trade-offs, and hence many decisions. And, there is a snowballing, adverse effect of engaging in self-control on subsequent self-control capacity. Altogether, these processes spell a dwindling supply of self-control with few chances to recover.
Governments and organizations must recognize that the lives of the poor are filled with land mines of desire, trade-offs, and self-control dilemmas. Paring down the sheer volume of decisions that the poor must make—perhaps through defaults—and allowing others to share in the decision-making process could help. Scheduling interviews and appointments earlier in the day could be beneficial because people generally possess greater cognitive capacity at that time (12). Public settings that require individuals to handle forms, rules, and decisions could have a care area for children to minimize competing demands on attention.
Recent estimates show that about 20% of the world's population is in poverty (14). Although that is half of what it was 20 years ago, it is nonetheless a huge number (14). Economists are fond of the theory that the more people on Earth, the better, because people create ideas. With more people come greater odds of discovering the cure for cancer, renewable energy sources, or how to cultivate world peace. That premise rests on the notion that all people have adequate mental capacity, a premise now called into question by Mani et al. for a fifth of the world's population.

References and Notes

 
 

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