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The right-wing case for basic income
How does the largest welfare program imaginable have libertarian supporters?
- The idea for a universal basic income, or UBI, is increasingly popular.
- While it seems like a left-wing handout, many prominent right wing thinkers have endorsed the idea.
- The libertarian version of UBI does have a few key differences from the more standard version.
We've all heard of it: basic income, the freedom dividend, the income guarantee, or any of the other names for the program that would give everybody a payment as a right of citizenship. Such plans have been discussed by American thinkers for at least two hundred years and have gained increasing attention and popularity in the modern age.
On the face of it, it seems like a rather left-wing concept. The idea of sending everybody a check each month for existing seems as Marxist as it gets. It also doesn't help that many of the best-known supporters of the idea are on the left. However, the idea's popularity isn't limited to red book clubs. There are right-wing supporters of the concept as well, among them was famous economist Milton Friedman.
The libertarian case for the basic income
For those who don't know, Milton Friedman was an economist working out of the University of Chicago during the middle part of the 20th century. A leading thinker behind monetarism, he favored tinkering with the economy through controlling the size of the money supply rather than through fiscal policy. Even people on the American center-left acknowledge his brilliance as they criticize his mistakes.
When it came to the problem of poverty, Friedman supported letting the free market and private charity have a chance to solve it first. However, he understood that dealing with it effectively at the large scale likely required at least some state intervention. As he explains in Capitalism and Freedom, its the free-rider problem that causes this:
It can be argued that private charity is insufficient because the benefits from it accrue to people other than those who make the gifts [...] I am distressed by the sight of poverty; I am benefited by its alleviation; but I am benefited equally whether I or someone else pays for its alleviation; the benefits of other people's charity therefore partly accrue to me. To put it differently, we might all of us be willing to contribute to the relief of poverty, provided everyone else did. We might not be willing to contribute the same amount without such assurance. In small communities, public pressure can suffice to realize the proviso even with private charity. In the large impersonal communities that are increasingly coming to dominate our society, it is much more difficult for it to do so.
He argued that this justified having the state take steps to reduce poverty, as it is harder to skip out on paying money to reduce poverty when that is tax fraud rather then miserliness. This didn't mean Friedman supported the welfare state though; he argued instead for a much simpler solution in the form of the negative income tax, or NIT.
In our current welfare system, there are a myriad of programs that each deal with a different aspect of life for the poor. One program provides food aid, another deals with housing, yet another provides low-cost utilities, and another one deals with income security for the elderly. A large number of regulations, such as minimum wage laws, exist to help hold wages high enough to keep other working people off the welfare rolls.
Friedman viewed this multitude of agencies as wasteful and suggested that a single program would do the same job with a smaller government by just giving cash to people who needed it. As a libertarian who placed a high value on the freedom of choice, he also suggested it was a much more dignified way of helping the poor than telling them what they could and could not do with the money we give them as is currently the case with things like food stamps.
How would it work?
The mechanism is relatively simple. Dr. Friedman explains it above in his interview on Firing Line.
For those who didn't watch the clip, it is easily explained. The income tax system is changed a bit to include an exemption based on family size. Only earned income above that point is taxed. If you make less than the exemption amount, you instead receive a subsidy.
The size of the subsidy would change based on how much you make and would also be subject to a subsidy rate. This means that if a person makes $1000 less than the exemption point, they would only get a certain percentage of that difference back as a subsidy. Friedman argued that the subsidy rate shouldn't any higher than 50 percent, as it would discourage work if it were raised past that point.
As an example, suppose we lived in a society where with an NIT where the exemption for me is $10,000, and the subsidy rate is 50 percent. If I were to only make $8000, I would pay no taxes and get back half of the $2000 difference between what I made and the exemption point, or $1000.
If I made exactly $10,000, I would neither pay taxes nor receive a subsidy. If I made more than that, I would start to pay income taxes on the income above that point. If I made absolutely nothing, I would get the largest subsidy possible under this system, $5000, which would be the "guaranteed" income under this arrangement.
Such a program would also have the advantage of not having a "welfare trap," the point where making more money at work causes welfare payments to go down by a larger amount and leaves the recipient worse off. The trap is a well-known problem and is bashed by many economists as a significant flaw that discourages people from trying to improve their situation.
The numbers used above were just for discussion; the exact numbers used in a working system would reflect economic realities. It should be said that Friedman intended to keep the guaranteed rate low enough to encourage people to still work while at the same time being high enough to correct for the failures of private charity.
Has it ever been tried?
Yes, it has, and it worked.
Several experiments in the 1970s in the United States and Canada showed that the negative income tax could work as intended. The guaranteed income was set as equal to the poverty threshold and, as predicted, the labor supply fell because of this.
This fall was not as significant as experts feared, however. The simultaneous rise in high school graduation rates suggests that at least part of this fall in labor supply was caused people having the economic security to stop working and finish their education. Claims that the program resulted in an increased divorce rate were initially reported but are now known to be the result of a statistical error.
What do others think of the NIT?
Criticism of the idea comes from two directions.
On the right, critics often object on a fundamental level to any redistribution or an income tax of any kind. Some who do support the NIT see it merely as the best version of a bad deal.
On the left, criticism tends to focus on either the mechanism of the NIT or on the details of Friedman's plan. Josh Martin, an executive committee member at the US Basic Income Guarantee Network, explained his objections this way:
A negative income tax and a universal basic income seek to achieve the same goal — to ensure an income floor for everyone. But, given the choice between the two, a UBI is preferable as it solidifies this income floor as a universal benefit, while an NIT would only provide the income floor to those who need it. This conditionality makes it easier for politicians and for people who don't receive the NIT to justify cutting the program as they don't receive the benefit personally.
This concern that a purely redistributive program will be subject to political difficulties later is a common one. It is part of the reason why regressive taxes on the poor fund Social Security — you can't attack it in the way Mr. Martin describes. A system of basic income that pays everybody a set amount each month is similarly protected; it's hard to cut a program everybody gets direct benefits from.
Universal basic income is an increasingly popular idea that will likely exist in some form someday. It enjoys support from every part of the political spectrum for various reasons. While the far left and the far right might disagree on why a universal basic income program is needed or what form it should take, the fact that they agree on the need for such a program is surprising enough to almost count as an endorsement in itself.
Geologists discover a rhythm to major geologic events.
- It appears that Earth has a geologic "pulse," with clusters of major events occurring every 27.5 million years.
- Working with the most accurate dating methods available, the authors of the study constructed a new history of the last 260 million years.
- Exactly why these cycles occur remains unknown, but there are some interesting theories.
Our hearts beat at a resting rate of 60 to 100 beats per minute. Lots of other things pulse, too. The colors we see and the pitches we hear, for example, are due to the different wave frequencies ("pulses") of light and sound waves.
Now, a study in the journal Geoscience Frontiers finds that Earth itself has a pulse, with one "beat" every 27.5 million years. That's the rate at which major geological events have been occurring as far back as geologists can tell.
A planetary calendar has 10 dates in red
Credit: Jagoush / Adobe Stock
According to lead author and geologist Michael Rampino of New York University's Department of Biology, "Many geologists believe that geological events are random over time. But our study provides statistical evidence for a common cycle, suggesting that these geologic events are correlated and not random."
The new study is not the first time that there's been a suggestion of a planetary geologic cycle, but it's only with recent refinements in radioisotopic dating techniques that there's evidence supporting the theory. The authors of the study collected the latest, best dating for 89 known geologic events over the last 260 million years:
- 29 sea level fluctuations
- 12 marine extinctions
- 9 land-based extinctions
- 10 periods of low ocean oxygenation
- 13 gigantic flood basalt volcanic eruptions
- 8 changes in the rate of seafloor spread
- 8 times there were global pulsations in interplate magmatism
The dates provided the scientists a new timetable of Earth's geologic history.
Tick, tick, boom
Credit: New York University
Putting all the events together, the scientists performed a series of statistical analyses that revealed that events tend to cluster around 10 different dates, with peak activity occurring every 27.5 million years. Between the ten busy periods, the number of events dropped sharply, approaching zero.
Perhaps the most fascinating question that remains unanswered for now is exactly why this is happening. The authors of the study suggest two possibilities:
"The correlations and cyclicity seen in the geologic episodes may be entirely a function of global internal Earth dynamics affecting global tectonics and climate, but similar cycles in the Earth's orbit in the Solar System and in the Galaxy might be pacing these events. Whatever the origins of these cyclical episodes, their occurrences support the case for a largely periodic, coordinated, and intermittently catastrophic geologic record, which is quite different from the views held by most geologists."
Assuming the researchers' calculations are at least roughly correct — the authors note that different statistical formulas may result in further refinement of their conclusions — there's no need to worry that we're about to be thumped by another planetary heartbeat. The last occurred some seven million years ago, meaning the next won't happen for about another 20 million years.
Brain cells snap strands of DNA in many more places and cell types than researchers previously thought.
The urgency to remember a dangerous experience requires the brain to make a series of potentially dangerous moves: Neurons and other brain cells snap open their DNA in numerous locations — more than previously realized, according to a new study — to provide quick access to genetic instructions for the mechanisms of memory storage.
The extent of these DNA double-strand breaks (DSBs) in multiple key brain regions is surprising and concerning, says study senior author Li-Huei Tsai, Picower Professor of Neuroscience at MIT and director of The Picower Institute for Learning and Memory, because while the breaks are routinely repaired, that process may become more flawed and fragile with age. Tsai's lab has shown that lingering DSBs are associated with neurodegeneration and cognitive decline and that repair mechanisms can falter.
"We wanted to understand exactly how widespread and extensive this natural activity is in the brain upon memory formation because that can give us insight into how genomic instability could undermine brain health down the road," says Tsai, who is also a professor in the Department of Brain and Cognitive Sciences and a leader of MIT's Aging Brain Initiative. "Clearly, memory formation is an urgent priority for healthy brain function, but these new results showing that several types of brain cells break their DNA in so many places to quickly express genes is still striking."
In 2015, Tsai's lab provided the first demonstration that neuronal activity caused DSBs and that they induced rapid gene expression. But those findings, mostly made in lab preparations of neurons, did not capture the full extent of the activity in the context of memory formation in a behaving animal, and did not investigate what happened in cells other than neurons.
In the new study published July 1 in PLOS ONE, lead author and former graduate student Ryan Stott and co-author and former research technician Oleg Kritsky sought to investigate the full landscape of DSB activity in learning and memory. To do so, they gave mice little electrical zaps to the feet when they entered a box, to condition a fear memory of that context. They then used several methods to assess DSBs and gene expression in the brains of the mice over the next half-hour, particularly among a variety of cell types in the prefrontal cortex and hippocampus, two regions essential for the formation and storage of conditioned fear memories. They also made measurements in the brains of mice that did not experience the foot shock to establish a baseline of activity for comparison.
The creation of a fear memory doubled the number of DSBs among neurons in the hippocampus and the prefrontal cortex, affecting more than 300 genes in each region. Among 206 affected genes common to both regions, the researchers then looked at what those genes do. Many were associated with the function of the connections neurons make with each other, called synapses. This makes sense because learning arises when neurons change their connections (a phenomenon called "synaptic plasticity") and memories are formed when groups of neurons connect together into ensembles called engrams.
"Many genes essential for neuronal function and memory formation, and significantly more of them than expected based on previous observations in cultured neurons … are potentially hotspots of DSB formation," the authors wrote in the study.
In another analysis, the researchers confirmed through measurements of RNA that the increase in DSBs indeed correlated closely with increased transcription and expression of affected genes, including ones affecting synapse function, as quickly as 10-30 minutes after the foot shock exposure.
"Overall, we find transcriptional changes are more strongly associated with [DSBs] in the brain than anticipated," they wrote. "Previously we observed 20 gene-associated [DSB] loci following stimulation of cultured neurons, while in the hippocampus and prefrontal cortex we see more than 100-150 gene associated [DSB] loci that are transcriptionally induced."
Snapping with stress
In the analysis of gene expression, the neuroscientists looked at not only neurons but also non-neuronal brain cells, or glia, and found that they also showed changes in expression of hundreds of genes after fear conditioning. Glia called astrocytes are known to be involved in fear learning, for instance, and they showed significant DSB and gene expression changes after fear conditioning.
Among the most important functions of genes associated with fear conditioning-related DSBs in glia was the response to hormones. The researchers therefore looked to see which hormones might be particularly involved and discovered that it was glutocortocoids, which are secreted in response to stress. Sure enough, the study data showed that in glia, many of the DSBs that occurred following fear conditioning occurred at genomic sites related to glutocortocoid receptors. Further tests revealed that directly stimulating those hormone receptors could trigger the same DSBs that fear conditioning did and that blocking the receptors could prevent transcription of key genes after fear conditioning.
Tsai says the finding that glia are so deeply involved in establishing memories from fear conditioning is an important surprise of the new study.
"The ability of glia to mount a robust transcriptional response to glutocorticoids suggest that glia may have a much larger role to play in the response to stress and its impact on the brain during learning than previously appreciated," she and her co-authors wrote.
Damage and danger?
More research will have to be done to prove that the DSBs required for forming and storing fear memories are a threat to later brain health, but the new study only adds to evidence that it may be the case, the authors say.
"Overall we have identified sites of DSBs at genes important for neuronal and glial functions, suggesting that impaired DNA repair of these recurrent DNA breaks which are generated as part of brain activity could result in genomic instability that contribute to aging and disease in the brain," they wrote.
The National Institutes of Health, The Glenn Foundation for Medical Research, and the JPB Foundation provided funding for the research.
Research shows that those who spend more time speaking tend to emerge as the leaders of groups, regardless of their intelligence.
- A new study proposes the "babble hypothesis" of becoming a group leader.
- Researchers show that intelligence is not the most important factor in leadership.
- Those who talk the most tend to emerge as group leaders.
If you want to become a leader, start yammering. It doesn't even necessarily matter what you say. New research shows that groups without a leader can find one if somebody starts talking a lot.
This phenomenon, described by the "babble hypothesis" of leadership, depends neither on group member intelligence nor personality. Leaders emerge based on the quantity of speaking, not quality.
Researcher Neil G. MacLaren, lead author of the study published in The Leadership Quarterly, believes his team's work may improve how groups are organized and how individuals within them are trained and evaluated.
"It turns out that early attempts to assess leadership quality were found to be highly confounded with a simple quantity: the amount of time that group members spoke during a discussion," shared MacLaren, who is a research fellow at Binghamton University.
While we tend to think of leaders as people who share important ideas, leadership may boil down to whoever "babbles" the most. Understanding the connection between how much people speak and how they become perceived as leaders is key to growing our knowledge of group dynamics.
The power of babble
The research involved 256 college students, divided into 33 groups of four to ten people each. They were asked to collaborate on either a military computer simulation game (BCT Commander) or a business-oriented game (CleanStart). The players had ten minutes to plan how they would carry out a task and 60 minutes to accomplish it as a group. One person in the group was randomly designated as the "operator," whose job was to control the user interface of the game.
To determine who became the leader of each group, the researchers asked the participants both before and after the game to nominate one to five people for this distinction. The scientists found that those who talked more were also more likely to be nominated. This remained true after controlling for a number of variables, such as previous knowledge of the game, various personality traits, or intelligence.
How leaders influence people to believe | Michael Dowling | Big Think www.youtube.com
In an interview with PsyPost, MacLaren shared that "the evidence does seem consistent that people who speak more are more likely to be viewed as leaders."
Another find was that gender bias seemed to have a strong effect on who was considered a leader. "In our data, men receive on average an extra vote just for being a man," explained MacLaren. "The effect is more extreme for the individual with the most votes."
The great theoretical physicist Steven Weinberg passed away on July 23. This is our tribute.