Tag Archives: Warren Meyer

The Fast Trains That Can’t

17 Sunday Feb 2019

Posted by in Air Travel, infrastructure

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High-speed rail will remain a pipe-dream in the U.S. except for the development of a few limited routes. However, statists continue to push for large-scale adoption. That would represent a triumph of big government, if realized, and it is very appealing to the public imagination. But high-speed rail (HSR) is something of a fraud. Projected fares do not include the massive capital costs required to build it, which must be funded by taxpayers. Like most big public projects, HSR presents ample opportunities for graft by privileged insiders. And apparently it’s easy to rationalize HSR by repeating the questionable mantra that it is environmentally superior to autos or even air travel.

California recently confronted the harsh reality of HSR costs by scaling back its ambitious plans to a single line traversing a portion of the central valley. Now, the federal government has acknowledged that the state has violated the terms of past federal grants, essentially for non-performance. Those grants totaled $2.5 billion, and another grant of almost $1 billion might be withheld. Better not to throw good money after bad.

Megan McArdle wisely debunks the viability of HSR in the U.S. based on four potent factors: distance, wealth, legal obstacles, and cost. Unlike Europe, Japan and even the eastern Chinese seaboard, the distances involved in the U.S. make widespread development of HSR infrastructure quite challenging. Even on shorter routes, the U.S. has too much valuable property in and between population centers that would have to be repurposed for placement of relatively straight-line routes to facilitate high speeds. An authoritarian government can commandeer property, but wresting property from private owners in the U.S. is not straightforward, even when obtrusive bureaucrats attempt to invoke eminent domain. McArdle says:

“… the U.S. legal system offers citizens an unparalleled number of veto points at which they can attempt to block government projects. Any infrastructure project bigger than painting a schoolhouse thus has to either fight out the reviews and court cases for years, or buy off the opponents, or more likely, both.”

Another downside for HSR: the cost of installing and operating U.S. infrastructure is inflated by a number of factors, including high U.S. wage levels, unions, overlapping regulatory agencies, and the distances and other cost factors discussed earlier. Even worse, the extensive planning and lengthy time lines of such a project virtually assure cost overruns, as California has learned the hard way. So high-speed rail has a lot going against it.

Warren Meyer raises another issue: rail in the U.S. is dominated by freight, and it is very difficult for freight and passenger traffic to share the same system. That means freight traffic cannot be used to help defray the cost of installing HSR. Meyer makes an interesting comparison between the efficiency of passenger trains relative to freight: much more energy is needed to pull a heavy passenger train car than to pull the actual passengers inside. In contrast, the cargo inside a typical freight car weighs far more than the car itself. But the efficiency of freight transportation in the U.S. seems to have no allure for many critics of U.S. transportation policy.

“Freight is boring and un-sexy. Its not a government function in the US. So intellectuals tend to ignore it, even though it is the far more important, from and energy and environmental standpoint, portion of transport to put on the rails. … We have had huge revolutions in transportation over the last decades during the same period that European nations were sinking billions of dollars into pretty high-speed passenger rails systems for wealthy business travelers.”   

Comparisons of efficiency across modes of passenger transportation are typically limited to operating costs, including energy costs, per passenger mile. That narrow focus yields a distorted view of the relative advantages of different passenger modes. In particular, the massive incremental capital costs of HSR are often ignored. Moreover, weight must be assigned to the very real economic costs of passenger time, not to mention the external costs imposed on the viability of farmland, nearby property owners, and wildlife.

In the long-term, all modes of transportation have infrastructure costs, but HSR lines don’t yet exist in this country. It is therefore relevant to ask whether the cost comparison is intended to address an ongoing transportation need or an incremental need. HSR is often promoted as a replacement for other modes of transportation, so the lack of an installed base of infrastructure is a huge incremental cost relative to modes already in place.

Air travel has some obvious advantages over high-speed trains. First, it requires much less support infrastructure, and a significant base of that capital is already installed. Again, the massive, up-front infrastructure costs of HSR are incremental. Also, airports tend to be well-integrated with local transportation options. New passenger train terminals would require additional investment in local ground transportation such as light rail or subway extensions, highway access, and the like. In addition, planes require less passenger time than trains over lengthy routes.

How about autos vs. HSR? Autos have the pre-installed base of road infrastructure. They provide hard-to-value flexibility for the traveler as well, but parking costs must be dealt with, and cars have extremely high accident rates. Travel time is a disadvantage for autos relative to HSR, even at moderate distances. In terms of operating costs, however, autos are not necessarily at a disadvantage: they weigh much less per passenger than trains, but that advantage is offset by trains’ low “rolling resistance” and other factors. The best choice for travelers would vary with the value they place on their time, specific plans at the destination, preference for flexibility, and the operating costs of their vehicle relative to the high-speed train fare.

Supporters of HSR contend that it is less costly to the environment than other modes of transportation. That case is easier to make if you focus solely on operating costs and exclude the impact of generating the electricity needed to power trains, which will require emissions of greenhouse gases for many years to come. A second fundamental omission is the environmental cost of the rail infrastructure itself. It’s very existence is disruptive to local environments, but perhaps most importantly, producing and installing the steel, concrete, and other materials needed for HSR will carry a steep environmental cost.

HSR is unlikely to achieve widespread adoption in the U.S. The distances of many routes and high infrastructure costs are obstacles that will be nearly impossible to overcome. Projected fares would be outrageously high were they to cover the full cost of the infrastructure. A typical argument is that taxpayers should fund the infrastructure due to the social benefits that rail is presumed to confer, but that presumption is far-fetched given the impact of producing the infrastructure itself, as well as the power needed to run the trains. I don’t expect adherents of rail to put aside their dreams quickly, however: there is something so romantic about the notion of having the state provide a massive rail network that the idea will never die the death it deserves. And don’t be fooled by Elon Musk’s hyperloop. It remains a distant technological hope and it too will have enormous resource costs along with an attendant call for public subsidies (a call which has already begun). After all, public subsidies are a hallmark of most of Musk’s business ventures.

 

 

Certainty Laundering and Fake Science News

05 Wednesday Dec 2018

Posted by in Global Warming, Risk, Science

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Intriguing theories regarding all kinds of natural and social phenomena abound, but few if any of those theories can be proven with certainty or even validated at a high level of statistical significance. Yet we constantly see reports in the media about scientific studies purporting to prove one thing or another. Naturally, journalists pounce on interesting stories, and they can hardly be blamed when scientists themselves peddle “findings” that are essentially worthless. Unfortunately, the scientific community is doing little to police this kind of malpractice. And incredible as it seems, even principled scientists can be so taken with their devices that they promote uncertain results with few caveats.

Warren Meyer coined the term “certainty laundering” to describe a common form of scientific malpractice. Observational data is often uncontrolled and/or too thin to test theories with any degree of confidence. What’s a researcher to do in the presence of such great uncertainties? Start with a theoretical model in which X is true by assumption and choose parameter values that seem plausible. In all likelihood, the sparse data that exist cannot be used to reject the model on statistical grounds. The data are therefore “consistent with a model in which X is true”. Dramatic headlines are then within reach. Bingo!

The parallel drawn by Meyer between “certainty laundering” and the concept of money laundering is quite suggestive. The latter is a process by which economic gains from illegal activities are funneled through legal entities in order to conceal their subterranean origins. Certainty laundering is a process that may encompass the design of the research exercise, its documentation, and its promotion in the media. It conceals from attention the noise inherent in the data upon which the theory of X presumably bears.

Another tempting exercise that facilitates certainty laundering is to ask how much a certain outcome would have changed under some counterfactual circumstance, call it Z. For example, while atmospheric CO2 concentration increased by roughly one part per 10,000 (0.01%) over the past 60 years, Z might posit that the change did not take place. Then, given a model that embodies a “plausible” degree of global temperature sensitivity to CO2, one can calculate how different global temperatures would be today under that counterfactual. This creates a juicy but often misleading form of attribution. Meyer refers to this process as a way of “writing history”:

“Most of us are familiar with using computer models to predict the future, but this use of complex models to write history is relatively new. Researchers have begun to use computer models for this sort of retrospective analysis because they struggle to isolate the effect of a single variable … in their observational data.”

These “what-if-instead” exercises generally apply ceteris paribus assumptions inappropriately, presuming the dominant influence of a single variable while ignoring other empirical correlations which might have countervailing effects. The exercise usually culminates in a point estimate of the change “implied” by X, without any mention of possible errors in the estimated sensitivity nor any mention of the possible range of outcomes implied by model uncertainty. In many such cases, the actual model and its parameters have not been validated under strict statistical criteria.

Meyer goes on to describe a climate study from 2011 that was quite blatant about its certainty laundering approach. He provides the following quote from the study:

“These question cannot be answered using observations alone, as the available time series are too short and the data not accurate enough. We therefore used climate model output generated in the ESSENCE project, a collaboration of KNMI and Utrecht University that generated 17 simulations of the climate with the ECHAM5/MPI-OM model to sample the natural variability of the climate system. When compared to the available observations, the model describes the ocean temperature rise and variability well.”

At the time, Meyer wrote the following critique:

“[Note the first and last sentences of this paragraph] First, that there is not sufficiently extensive and accurate observational data to test a hypothesis. BUT, then we will create a model, and this model is validated against this same observational data. Then the model is used to draw all kinds of conclusions about the problem being studied.

This is the clearest, simplest example of certainty laundering I have ever seen. If there is not sufficient data to draw conclusions about how a system operates, then how can there be enough data to validate a computer model which, in code, just embodies a series of hypotheses about how a system operates?”

In “Imprecision and Unsettled Science“, I wrote about the process of calculating global surface temperatures. That process is plagued by poor quality and uncertainties, yet many climate scientists and the media seem completely unaware of these problems. They view global and regional temperature data as infallible, but in reality these aggregated readings should be recognized as point estimates with wide error bands. Those bands imply that the conclusions of any research utilizing aggregate temperature data are subject to tremendous uncertainty. Unfortunately, that fact doesn’t get much play.

As Ashe Schow explains, junk science is nothing new. Successful replication rates of study results in most fields are low, and the increasing domination of funding sources by government tends to promote research efforts supporting the preferred narratives of government bureaucrats.

But perhaps we’re not being fair to the scientists, or most scientists at any rate. One hopes that the vast majority theorize with the legitimate intention of explaining phenomena. The unfortunate truth is that adequate data for testing theories is hard to come by in many fields. Fair enough, but Meyer puts his finger on a bigger problem: One simply cannot count on the media to apply appropriate statistical standards in vetting such reports. Here’s his diagnosis of the problem in the context of the Fourth National Climate Assessment and its estimate of the impact of climate change on wildfires:

“The problem comes further down the food chain:

  1. When the media, and in this case the US government, uses this analysis completely uncritically and without any error bars to pretend at certainty — in this case that half of the recent wildfire damage is due to climate change — that simply does not exist
  2. And when anything that supports the general theory that man-made climate change is catastrophic immediately becomes — without challenge or further analysis — part of the ‘consensus’ and therefore immune from criticism.”

That is a big problem for science and society. A striking point estimate is often presented without adequate emphasis on the degree of noise that surrounds it. Indeed, even given a range of estimates, the top number is almost certain to be stressed more heavily. Unfortunately, the incentives facing researchers and journalists are skewed toward this sort of misplaced emphasis. Scientists and other researchers are not immune to the lure of publicity and the promise of policy influence. Sensational point estimates have additional value if they support an agenda that is of interest to those making decisions about research funding. And journalists, who generally are not qualified to make judgements about the quality of scientific research, are always eager for a good story. Today, the spread of bad science, and bad science journalism, is all the more virulent as it is propagated by social media.

The degree of uncertainty underlying a research result just doesn’t sell, but it is every bit as crucial to policy debate as a point estimate of the effect. Policy decisions have expected costs and benefits, but the costs are often front-loaded and more certain than the hoped-for benefits. Any valid cost-benefit analysis must account for uncertainties, but once a narrative gains steam, this sort of rationality is too often cast to the wind. Cascades in public opinion and political momentum are all too vulnerable to the guiles of certainty laundering. Trends of this kind are difficult to reverse and are especially costly if the laundered conclusions are wrong.

The Disastrous Boomerang Effect of Fire Suppression

15 Thursday Nov 2018

Posted by in Environment, Wildfires

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We can lament the tragic forest fires burning in California, but a discussion of contributing hazards and causes is urgent if we are to minimize future conflagrations. The Left points the finger at climate change. Donald Trump, along with many forestry experts, point at forest mismanagement. Whether you believe in climate change or not, Trump is correct on this point. However, he blames the state of California when in fact a good deal of the responsibility falls on the federal government. And as usual, Trump has inflamed passions with unnecessarily aggressive rhetoric and threats:

“There is no reason for these massive, deadly and costly forest fires in California except that forest management is so poor. Billions of dollars are given each year, with so many lives lost, all because of gross mismanagement of the forests. Remedy now or no more Fed payments.”

Trump was condemned for his tone, of course, but also for the mere temerity to discuss the relationship between policy and fire hazards at such a tragic moment. Apparently, it’s a fine time to allege causes that conform to the accepted wisdom of the environmental Left, but misguided forest management strategy is off-limits.

The image at the top of this post is from the cover of a book by wildlife biologist George E. Gruell, published in 2001. The author includes hundreds of historical photos of forests in the Sierra Nevada range from as early as 1849. He pairs them with photos of the same views in the late 20th century, such as the photo inset on the cover shown above. The remarkable thing is that the old forests were quite thin by comparison. The following quote is from a review of the book on Amazon:

“Even the famed floor of Yosemite is now mostly forested with conifers. I myself love conifers but George makes an interesting point that these forests are “man made” and in many ways are unhealthy from the standpoint that they lead to canopy firestorms that normally don’t exsist when fires are allowed to naturally burn themselves out. Fire ecology is important and our fear of forest fires has led to an ever worsening situation in the Sierra Nevada.”

I posted this piece on forest fires and climate change three months ago. There is ample reason to attribute the recent magnitude of wildfires to conditions influenced by forest management policy. The contribution of a relatively modest change in average temperatures over the past several decades (but primarily during the 1990s) is rather doubtful. And the evidence that warming-induced drought is the real problem is weakened considerably by the fact that the 20th century was wetter than normal in California. In other words, recent dry conditions represent something of a return to normal, making today’s policy-induced overgrowth untenable.

Wildfires are a natural phenomenon and have occurred historically from various causes such as lightning strikes and even spontaneous combustion of dry biomass. They are also caused by human activity, both accidental and intentional. In centuries past, Native Americans used so-called controlled or prescribed burns to preserve and restore grazing areas used by game. In the late 19th and early 20th centuries, fire suppression became official U.S. policy, leading to an unhealthy accumulation of overgrowth and debris in American forests over several decades. This trend, combined with a hot, dry spell in the 1930s, led to sprawling wildfires. However, Warren Meyer says the data on burnt acreage during that era was exaggerated because the U.S. Forest Service insisted on counting acres burned by prescribed burns in states that did not follow its guidance against the practice.

The total acreage burned by wildfires in the U.S. was minimal from the late 1950s to the end of the century, when a modest uptrend began. In California, while the number of fires continued to decline over the past 30 years, the trend in burnt acreage has been slightly positive. Certainly this year’s mega-fires will reinforce that trend. So the state is experiencing fewer but larger fires.

The prior success in containing fires was due in part to active logging and other good forest management policies, including prescribed burns. However, the timber harvest declined through most of this period under federal fire suppression policies, California state policies that increased harvesting fees, and pressure from environmentalists. The last link shows that the annual “fuel removed” from forests in the state has declined by 80% since the 1950s. But attitudes could be changing, as both the state government and environmentalists (WSJ, link could be gated) are beginning to praise biomass harvesting as a way to reduce wildfire risk. Well, yes!

The reason wildfire control ever became a priority is the presence of people in forest lands, and human infrastructure as well. Otherwise, the fires would burn as they always have. Needless to say, homes or communities surrounded by overgrown forests are at great risk. In fact, it’s been reported that the massive Camp Fire in Northern California was caused by a PG&E power line. If so, it’s possible that the existing right-of-way was not properly maintained by PG&E, but it may also be that rights-of-way are of insufficient width to prevent electrical sparks from blowing into adjacent forests, and that’s an especially dangerous situation if those forests are overgrown.

Apparently Donald Trump is under the impression that state policies are largely responsible for overgrown and debris-choked forests. In fact, both federal and state environmental regulations have played a major role in discouraging timber harvesting and prescribed burns. After all, the federal government owns about 57% of the forested land in California. Much of the rest is owned privately or is tribal land. Trump’s threat to withhold federal dollars was his way of attempting to influence state policy, but the vast bulk of federal funds devoted to forest management is dedicated to national forests. A relatively small share subsidizes state and community efforts. Disaster-related funding is and should be a separate matter, but Trump made the unfortunate suggestion that those funds are at issue. Nevertheless, he was correct to identify the tremendous fire hazard posed by overgrown forests and excessive debris on the forest floor. Changes to both federal and state policy must address these conditions.

For additional reading, I found this article to give a balanced treatment of the issues.

The Non-Trend In Hurricane Activity

18 Thursday Oct 2018

Posted by in Global Warming, Hurricanes

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People are unaccountably convinced that there is an upward trend in severe weather events due to global warming. But there is no upward trend in the data on either the frequency or severity of those events. Forget, for the moment, the ongoing debate about the true extent of climate warming. In fact, I’ll stipulate that warming has occurred over the past 40 years, though most of it was confined to the jump roughly coincident with two El Ninos in the 1990s; there’s been little if any discernible trend since. But what about the trend in severe weather? I’ve heard people insist that it is true, but a few strong hurricanes do not constitute a trend.

The two charts at the top of this post were created by hurricane expert Ryan N. Maue. I took them from an article by David Middleton., but visit Maue’s web site on tropical cyclone activity for more. The last month plotted is September 2018, so the charts do not account for Hurricane Michael and the 2018 totals are for a partial year. The first nine months of each year typically accounts for about 3/4 of annual tropical cyclones, so 2018 will be a fairly strong year. Nevertheless, the charts refute the contention that there has been an upward trend in tropical cyclone activity. In fact, in the lower chart, the years following the 1990s increase in global temperatures is shown to have been a time a lower cyclone energy. Roy Spencer weighs in on the negative trend in major landfalling hurricanes in the U.S. and Florida stretching over many decades.

Warren Meyer blames ‘”media selection bias” for the mistaken impression of dangerous trends that do not exist. That is, the news media are very likely to report extreme events, as they should, but they are very unlikely to report a paucity of extreme events, no matter how lengthy or unusual the dearth:

“Does anyone doubt that if we were having a record-heavy tornado season, this would be leading every newscast?  [But] if a record-heavy year is newsworthy, shouldn’t a record-light year be newsworthy as well?  Apparently not.” 

It so happens that 2018, thus far, has seen very close to a record low number of tornadoes in the U.S.

Meyer also highlights the frequent use of misleading statistics on the real value of damage from natural disasters. That aggregate value has almost certainly grown over the years, but it had nothing to do with the number or severity of natural disasters. Meyer explains:

“Think about places where there are large natural disasters in the US — two places that come to mind are California fires and coastal hurricanes. Do you really think that the total property value in California or on the US coastline has grown only at inflation? You not only have real estate price increases, but you have the value of new construction. The combination of these two is WAY over the 2-3% inflation rate.”

Recent experiences are always the most vivid in our minds. The same is true of broad impressions drawn from reports on the most recent natural disasters. The drama and tragedy of these events should never be minimized, and the fact that there is no upward trend in cyclone activity is no consolation to victims of those disasters. Still, the media can’t seem to resist the narrative that the threat of such events is increasing, even if it can’t be proven. Indeed, even if it’s not remotely correct. Reporters are human and generally not good at science, and they are not immune to the tendency to exaggerate the significance of events upon which they report. A dangerous, prospective trend is at once scary, exciting, and possibly career-enhancing. As for the public, sheer repetition is enough to convince most people that such a threat is undeniable… that everybody knows it… that the trend is already underway. The fact is that the upward trend in hurricane activity (and other kinds of severe weather) is speculative, not real.

Don’t Worry: Your IOUs To Yourself Are In a Trust Fund!

10 Sunday Jun 2018

Posted by in Medicare, Social Security, Socialism

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The Social Security and Medicare trust funds should offer no comfort as the obligations of those programs outrace revenues. Between them, the funds hold about $3.1 trillion of federal government bonds purchased with past surplus “contributions” from FICA and Medicare payroll taxes. In other words, those surplus contributions were used to pay for past government deficits. Here’s what Warren Meyer has to say on the topic:

“Imagine to cover benefits in a particular year the Social Security Administration needs $1 billion above and beyond Social Security taxes. If the trust fund exists, the government takes a billion dollars of government bonds out and sells them to private buyers on the open market. If the trust fund didn’t exist, the government would …. issue a billion dollars in bonds and sell them to private buyers on the open market. In either case, the government’s indebtedness to the outside world goes up by a billion dollars.”

Therefore, the trust funds do not provide any real cushion against future obligations. As Meyer says, you can write IOUs to yourself, put them in a piggy bank and call it a trust fund of your very own, but that won’t increase your wealth.

As it happens, last week the Trustees of the Medicare (MC) Trust Fund released the latest projections showing that it will be exhausted by 2026. Likewise, the Trustees of the Social Security (SS) Trust Fund reported that it will be depleted by 2036. But again, those trusts do not enhance the federal government’s fiscal position, so they really don’t matter. Even with the interest earned on the bonds held in trust, which is itself owed by the federal government, the trusts are merely placeholders for an equivalent dollar value of unfunded federal obligations. And in a very real sense, these funds hold no more than our own future tax liabilities: that debt is our debt.

Federal spending on discretionary and other on-budget entitlements is deeply in deficit on an ongoing basis, expected to be greater than $1 trillion annually by 2020, according to the Congressional Budget Office. Then add the bonds that will be sold to the public from the SS and MC trust funds, and total government borrowing from “the public” will become that much larger. After the trust funds are exhausted, accounting for the impact of the annual SS and MC system deficits will be more transparent.

The previous use of SS and MC contributions to pay for other government outlays strikes many as a violation of trust. Remember, however, that contributions to these systems are taxes, after all. And despite apparent impressions to the contrary, and perhaps for worse, individual vesting was never part of the SS system. But if the government must borrow a dollar (on a unified basis), is it always better to do it later? That was essentially the decision made (repeatedly) when FICA and Medicare taxes were used to purchase government bonds. The answer depends on whether the government has an immediate uses for the surplus that can be expected to earn returns superior to investment opportunities of suitable risk otherwise available to the trust funds. I would argue, however, that most of the “spent” funds from surplus FICA and Medicare taxes were put toward government consumption, and much less to investment in physical or social infrastructure. In fact, the availability of the SS and MC surpluses probably encouraged that consumption. To that extent, it was a certainly a mistake.

If the question is at what point must the government address the shortfall in its ability to pay future obligations to seniors, the answer is not “2026 and 2034”. It is now. The programs are racking-up obligations to future retirees that will be impossible to meet. The long-run (75-year) SS deficit projected by the trustees has a present value of $13.2 trillion, with an annual deficit growing to about 1.5% of GDP. By then, the Medicare deficit is expected to bring the combined shortfall of the two programs up to 2.3% of GDP. The trustees estimate that SS benefits would have to be cut by 25% in order to eliminate that deficit, with additional cuts to Medicare.

Oh, but those estimates treat the trust funds as if they are meaningful assets, and they are not! Of course, there are other solutions to the funding shortfall, but I truly hope that current workers have realistic expectations. They should adjust their saving rates to avoid excessive reliance on government social and medical insurance programs.

Don’t Cry for the Former Taxi Monopoly

23 Friday Mar 2018

Posted by in competition, monopoly, Technology, Uncategorized

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It would be odd to argue that innovation is not unequivocally positive, that its costs will exceed its benefits. Certainly there are downsides: human capital invested in the methods and technologies supplanted by an innovation is devalued, jobs may be lost, retraining becomes necessary, and even consumers must get used to new ways of doing things, which is not costless. But most of these costs are temporary. And when an innovation eliminates an incumbent’s monopoly, the former monopolist’s profit ends up back in the pockets of consumers.

People do seem to focus excessively on the downside of innovation without carefully tallying the benefits. For example, this article focuses on the loss of New York City taxi pickups since ride sharing services like Uber and Lyft began to have an impact in 2014. Mark Perry reproduces a chart from that article, which is featured above. The number of monthly taxi rides in NYC has fallen by about one-third since then, from an average of 13+ million to about 9 million in 2017. In fact, Perry reports that the market for taxi medallions has tanked since then as well, with plunging medallion prices and many medallions sold out of bankruptcy and foreclosure. But don’t be too quick to shed tears for a monopoly lost.

The same chart shows the massive upside to ride sharing, as discussed here by Warren Meyer. The size of the total market has nearly doubled, from about 13 million per month to roughly 24 million (adding the two lines together). And it was a quick transition! That’s what happens when real competition is introduced to a market: prices fall and quantity increases, with an attendant increase in the welfare of consumers. That increase always exceeds the loss suffered by the former monopolist or cartel (as the case may be), which was earning excessive profits at the expense of consumers before the innovation had a market impact. And many former taxi drivers have made the switch to ride sharing providers, and they seem to prefer it for the flexibility and autonomy it offers. Yes, the best innovations benefit workers as well as consumers.

Competition can bloom when government opens markets to competitors or when an innovation creates new alternatives for consumers. In the case of ride sharing, both were necessary. For many years, NYC restricted the supply of taxi medallions, which kept taxi fares artificially high. The formal approval of ride sharing services in the city was not uncontested. But once it was approved, consumers took advantage of superior dispatching and payment technologies enabled by their smart phones, as well as security features and rating systems, not to mention lower fares. Again, these developments have contributed massively to consumer well-being, which is ultimately the point of all economic activity. Traditional taxis have to try to keep up. The ride sharing industry has inflicted the kind of creative destruction for which consumers are quite grateful.

The Master Negotiator: I’ll Beat Myself Till You Accept My Terms!

07 Wednesday Mar 2018

Posted by in Free Trade, Tariffs, Trump Administration

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As if you needed more evidence that governments are incompetent, look no further than trade policy: public officials the world over are almost universally ignorant regarding the effects of international trade and trade imbalances. In this sense, the Trump Administration’s new tariffs on imported steel and aluminum are in keeping with the long history of public sector foibles on trade. This phenomenon stems from an unhealthy and obsessive focus on the well-being of producers without regard to the implications of policy for consumers. Warren Meyer of Coyote Blog offers an evaluation of Chinese trade policy, which he mischievously (I believe) claims was written by a Chinese blogger on a “sister blog” called “Panda Blog“. Despite Meyer’s playfulness, the post is instructive:

“Our Chinese government continues to pursue a policy of export promotion, patting itself on the back for its trade surplus in manufactured goods with the United States. The Chinese government does so through a number of avenues, … each and every one of these government interventions subsidizes US citizens and consumers at the expense of Chinese citizens and consumers. A low yuan makes Chinese products cheap for Americans but makes imports relatively dear for Chinese. So-called ‘dumping’ represents an even clearer direct subsidy of American consumers over their Chinese counterparts. And limiting foreign exchange re-investments to low-yield government bonds has acted as a direct subsidy of American taxpayers and the American government, saddling China with extraordinarily low yields on our nearly $1 trillion in foreign exchange. Every single step China takes to promote exports is in effect a subsidy of American consumers by Chinese citizens.“

The very idea of a trade deficit is often used to intimate a threat to a nation’s economic health. Conversely, a trade surplus is used to suggest that a nation is achieving great economic success. Both contentions are nonsense. Here is more from “Panda Blog“:

“We at Panda Blog believe it is insane for our Chinese government to continue to chase the chimera of ever-growing foreign exchange and trade surpluses. These achieved nothing lasting for Japan and they will achieve nothing for China. In fact, the only thing that amazes us more than China’s subsidize-Americans strategy is that the Americans seem to complain about it so much. They complain about their trade deficits, which are nothing more than a reflection of their incredible wealth. … They complain about China buying their government bonds, which does nothing more than reduce the costs of their Congress’s insane deficit spending. They even complain about dumping, which is nothing more than a direct subsidy by China of lower prices for American consumers.

And, incredibly, the Americans complain that it is they that run a security risk with their current trade deficit with China! This claim is so crazy, we at Panda Blog have come to the conclusion that it must be the result of a misdirection campaign by CIA-controlled American media. After all, the fact that China exports more to the US than the US does to China means that by definition, more of China’s economic production is dependent on the well-being of the American economy than vice-versa.“

By the way, those “quotes” from “Panda Blog” appeared on Coyote Blog 12 years ago!

All nations tend to play these trade games to one extent or another. But protectionist actions always harm a nation’s consumers more than they help producers, a proposition that is easy to demonstrate using a simple supply and demand diagram. While the class of consumers is broader than the class of producers, ultimately “producer” and “consumer” are different roles played by the same individuals. So protectionism is always harmful to a nation, on balance. Furthermore, retaliation against another nation for its dim-witted trade barriers also harms the retaliating nation’s consumers more than it helps its producers, and that’s true regardless of whether retaliation begets reciprocal actions.

Of course, producers are generally in a better position than consumers to grease the political skids in their favor. In a separate post, Meyer notes that protectionist trade policies are rooted in cronyism. The costs to society are very real, but they tend to be diffuse and therefore less obvious to most consumers.

“A lot of the media seems to believe the biggest reason they are bad is that they will incite retaliatory tariffs from other countries, which they almost certainly will.  But even if no one retaliated, even if the tariffs were purely unilateral, they would still be bad. In case after case, they are justified as increasing the welfare of a certain number of workers in targeted industries, but they hurt the welfare of perhaps 100x more people who consume or work for companies that consume the targeted products. Prices will rise for everyone and choices will be narrowed.“

A couple of points deserve emphasis in relation to my last post on Trump’s tariff action:

  • In terms of jobs, the tariffs announced by President Trump present a very poor risk-reward tradeoff (WSJ article is gated):

“The policy point is that Mr. Trump’s tariffs are trying to revive a world of steel production that no longer exists. He is taxing steel-consuming industries that employ 6.5 million and have the potential to grow more jobs to help a declining industry that employs only 140,000.“

  • Stephen Mihm discusses ways in which the U.S. steel industry squandered its superiority in the post-World War II era. Much of Mihm’s article is devoted to the industry’s failure to upgrade to new production technologies. Interestingly, however, it fails to mention the damaging role played by unions in the process. “Dumping” had very little to do with it.
  • Finally, Pierre Lemieux takes a closer look at the national security argument for trade barriers. He concludes that it is fallacious. Of course, it is an excuse for cronyism. Protectionism harms the competitiveness of the protected industries, which actually undermines national security. And protectionism is usually unnecessary on close examination. In the case of steel, for example, national defense and homeland security use only about 3% of American steel production. Beyond that simple fact, the argument is dangerously open-ended. Almost anything can be represented as critical to national security: steel, food, clothing, and many other categories. Even human resources.

Today, Trump announced that Canada and Mexico will be exempt from the new tariffs while a renegotiation of the North American Free Trade Agreement (NAFTA) is underway. That’s better, but this carve-out exempts only 25% of U.S. steel imports. Perhaps Australia will be granted an exemption as well, but additional carve-outs will prompt further increases in tariffs on non-exempt imports. Trump also said that U.S. flexibility in applying the new tariffs to allies will depend on their commitments for military spending!

Thus, rather than maintaining the pretense that trade relationships are about economics, the administration has conceded that the tariffs and the exemption process will be transparently political, never a prescription for efficient resource allocation. Moreover, U.S. trading partners are likely to be reluctant to test the politics of modifying their own trade manipulations at home. Indeed, the politics may dictate retaliation, rather than concessions. In any case, the governments of our trading partners are as clueless on trade as Trump, his Commerce Secretary Wilbur Ross, and his economic advisor Peter Navarro, or they would never intervene in private trade decisions to begin with.

Electric Cars: EPA Serves Up Green Kool-Aid To Pair With Subsidies

03 Tuesday Oct 2017

Posted by in Environment, Subsidies, Technology

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Electric cars don’t save much energy over gas-burners if at all, at least for now. Warren Meyer’s recent Coyote Blog post on this topic is aptly titled “Why Is It So Hard To Get Even Smart People To Think Clearly On Electric Vehicle Efficiency“. Meyer begins by quoting the following tweet from Google smarty Eric Schmidt, which typifies the general level of public awareness regarding the supposed energy savings from electric cars produced by Tesla and many others:

“Electric motors are the unsung hero of clean energy – the latest are 97% efficient, vs. 45% for internal combustion.“

Meyer emphasizes these major points:

  1. the efficiency with which source fuels are converted to physical work via electric and gas-burning cars is more comparable than Schmidt’s tweet suggests;
  2. differences in energy density weigh heavily in favor of fuel-burning vehicles.
  3. the so-called miles-per-gallon equivalent (MPGe) calculated by the U.S. Environmental Protection Agency (EPA) is a sham.

First, Schmidt’s tweet is accurate only if the discussion is confined to simple conversion of energy to physical work performed by the respective engines. The tweet ignores energy losses that occur prior to that conversion: electricity must be generated with far less than 100% efficiency, mainly by burning coal and natural gas. In an earlier Forbes article, Meyer compares this situation to a distorted comparison of two refrigerator installers:

“In both cases the customer lives in a fourth floor walkup. The first installer finds the refrigerator has been left on the street. He has to … haul the appliance up four flights of stairs. After that, relatively speaking, the installation is a breeze. The second installer finds his refrigerator has thoughtfully been delivered right to the customer’s door on the fourth floor. He quickly brings the unit inside and completes the installation. So who is a better installer?“

The fact is that both gas-burning and electric vehicles rely heavily on fossil fuels. And, in addition to losses in the generation process, there are other losses of energy attributable to electric cars: transmission of power involves a significant energy loss, as does charging batteries and storage itself. Meyer considers only the extra losses from production and transmission of electricity in the following comparison:

“We take 97% times 90% transmission efficiency times 50% electricity production efficiency equals 43.6%.  This is actually less than his 45% figure.  By his own numbers, the electric motor is worse….“

Meyer qualifies this comparison, as some of his assumptions are of the “best outcome” variety, but contrary to Schmidt’s assertion, gasoline and electric engines are reasonably comparable in terms of energy efficiency.

Some contend, however, that power losses in electricity transmission are much larger than the 10% Meyer assumes (see the comments on his post). Battery charging involves a loss of perhaps 20%. And a replacement for a Tesla battery, post 8-year warranty, is $8,000 – $12,000, an additional storage “cost” that is virtually non-existent for gas-powered vehicles. Beyond a certain point in its life, that cost will have an impact on a Tesla’s resale value. Moreover, some contend that the production of electric vehicles is more energy-intensive, putting them in an energy efficiency hole right from the get-go.

Meyer then takes up the notion of storage density as an explanation for why early experiments with electric cars were essentially abandoned:

“15 gallons of gasoline weighs 90 pounds and takes up 2 cubic feet. This will carry a 40 mpg car 600 miles. The Tesla Model S 85kwh battery pack weighs 1200 pounds and will carry the car 265 miles (from this article the cells themselves occupy about 4 cubic feet if packed perfectly but in this video the whole pack looks much larger). We can see that even with what Musk claims is twice the energy density of other batteries, the Tesla gets  0.22 miles per pound of fuel/battery while the regular car can get 6.7. More than an order of magnitude, that is simply an enormous difference…“

Meyer notes in the Forbes article that the EPA calculates its MPG conversion factor for electric vehicles by dividing BTU’s in a gallon of gas by the BTUs in a kilowatt hour: 33.7 KwH per gallon. Thus, the EPA multiplies an electric car’s miles per KwH by 33.7 to arrive at the so-called MPG equivalent: MPGe. But as we’ve seen above, the conversion factor ignores the generation and transmission of electricity required at the front end, and the associated energy losses that occur before a single KwH is released by a Tesla battery.

Despite what we hear from the EPA, Tesla, and other interests today, electric cars have not really overcome these disadvantages, at least not yet. The EPA’s MPGe estimates are vastly inflated. Perhaps if they were accurate, these vehicles would not have to rely so heavily on taxpayer subsidies to be competitive. By extension, the presumed environmental benefits of electric cars are nonexistent at this stage of development. I’m certain that Eric Schmidt and many other smart people are capable of understanding these nuances, but they might be too busy tripping over their politics to bother.

Net Neutrality: Degradation For All

20 Tuesday Jun 2017

Posted by in Net neutrality, Regulation

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The FCC recently voted to reverse its earlier actions on so-called net neutrality, which would have treated internet service providers (ISPs) as “common carriers” and subjected them to detailed federal regulation of their services, pricing, and profits. Many believe net neutrality would ensure a sort of fairness and nondiscrimination on the internet, but it is actually a destructive regulatory regime under which certain firms are allowed to extract economic rents from the efforts of others. Warren Meyer has a nice take on this at Coyote Blog:

“Net Neutrality is one of those Orwellian words that mean exactly the opposite of what they sound like…. What [it] actually means is that certain people … want to tip the balance in this negotiation towards the content creators ….  Netflix, for example, takes a huge amount of bandwidth that costs ISP’s a lot of money to provide. But Netflix doesn’t want the ISP’s to be be able to charge for this extra bandwidth Netflix uses – Netflix wants to get all the benefit of taking up the lion’s share of ISP bandwidth investments without having to pay for it. Net Neutrality is corporate welfare for content creators.“

I made the same point almost three years ago in “The Non-Neutrality of Network Hogs“. Meyer emphasizes that in the net-neutrality fight, the primary tension is between content creators and ISPs (and transport providers), but it is like any other battle to capture the gains from a vertical supply chain. Think of suppliers of goods versus shippers, for example, or traditional publishers versus delivery services, or oil extraction versus refining. Ultimately, all of the various parties must cover their costs in order to survive, and obviously each would like to capture a larger share of the value from its stage of the production process. In a series of arms-length transactions, one might assume that their shares would correspond roughly to the value they add to the final product, but things are more complicated than that. Much depends on the competitive state of the market and on the cost structures faced by different parties.

While the ISPs are often said to exercise monopoly power, there are few if any local markets in which that is actually the case, even in rural areas. Almost everywhere in the U.S., local internet markets could be better described as oligopolistic: there are at least a couple of rival firms (and alternatives for consumers), even if the technologies are sometimes radically different, so some competition exists. The same is true of the internet backbone.

Obviously, content providers compete with one another in a large sense, but many popular forms of content are unique and consumers demand access to them through their ISPs. Therefore, some content providers exercise a degree of monopoly power. And they might also require a lot of bandwidth.

The nature of the costs faced by ISPs and content providers is quite different. The latter have a much lower proportion of fixed costs than ISPs, who must invest in network capacity. Ultimately, the costs of providing that capacity must be priced. At first blush, it seems natural for users of capacity to be billed proportionately, but allocating those costs over customers and over time is a complex undertaking. Like all problems in economics, however, network usage involves a scarce resource. A large increment to demand can lead to network congestion and higher costs, not only directly to the ISPs but to users experiencing a degradation in the speed and quality of their service. ISPs have traditionally had the flexibility to negotiate with large content providers, reaching mutually agreeable terms. That’s what brought us to the state of today’s internet, and most observers would say that it’s pretty damn good!

It is the network that makes all of these wonderful services possible. The ISPs provide and maintain that network, and they must provide for expansion of that network as traffic grows. It is important that ISPs have adequate incentives to do so. However, the form of regulation to which so-called common carriers are subjected is known historically for its failure to provide good incentives. That history goes back as far as 130 years in transportation and about 80 years in telecommunications. This is why many analysts, and FCC Chairman Ajit Pai, contend that common carrier status for ISPs, and “net neutrality”, would lead to shortfalls in network capacity and a deterioration in the quality of service. It would also reward large content providers (think Netflix) in the short term at the expense of ISPs, essentially giving the former access to the existing network at less than cost. That’s the whole idea for industry advocates of net netrality, of course. But in the end, net neutrality is a shortsighted goal, even for the content providers.

The content providers have made every effort to propagandize the public, stoking fears that the ISPs are treating certain kinds of traffic unfairly. Without net neutrality, would ISPs unfairly discriminate against certain kinds of content? Or against certain types of users? Price discrimination is one of the primary criticisms of the presumed behavior of ISPs in the absence of net neutrality. Economist Bronwyn Howell points out that price discrimination is not unusual, however, and is not necessarily undesirable. Indeed, consumers of internet, telephone, mobile, and cable TV services seem to prefer certain forms of price discrimination! Consumers with heavy usage who purchase flat rate monthly internet access pay a lower charge per Gb than light users. Consumers who purchase “bundles” of internet and voice service may benefit from price discrimination relative to those who choose not to bundle their services. Strictly usage-based pricing would prevent price discrimination on this basis, but few would advocate the abolition of bundled offers, which provide benefits in terms of flexibility of use and predictability of cost, yielding net welfare gains for many consumers at no incremental cost to others. Like all voluntary trade, these are positive sum transactions: consumers capture more  “surplus” value while ISPs earn a greater contribution to the fixed costs of the network.

When ISPs charge a data rate based on usage, consumers face a positive marginal cost on incremental data. As usage increases, its marginal value to the consumer declines; the consumer will not use data beyond the point at which its value equals the data rate they pay. That places a cap on consumer surplus (the area above the price and below the consumer’s demand curve). When the consumer faces a zero marginal cost (an unlimited data plan), their usage rises to the point at which its marginal value is zero. The total amount of “surplus” in that scenario is larger, and it is possible for an ISP to split the gain with the consumer by offering a price for unlimited usage. Thus, as long as the network capacity is in place, both parties are made better off! If not, the practice can lead to congestion, but competition for users often dictates that such packages be offered.

Especially in the presence of positive network externalities, it makes no sense for the ISPs, as a group, to price users or traffic out of the market, unless they are punished for doing otherwise at below cost. As always, pricing is an exercise in balancing costs with the benefits to potential buyers. It should remain a private and unfettered exercise ending only in trades that are mutually beneficial.

And what of network capacity and the big content providers? At the “price discrimination” link above, Howell says:

“… available bandwidth allowed Netflix to happen, not the other way around. But now, as Netflix comes to dominate existing bandwidth, leading to higher costs, it is causing externalities (delays) and higher costs (ISP fees are now rising in real terms in some markets) to pay for new capacity.“

Should the ISPs charge all customers higher rates in order to manage growth in traffic and fund new capacity? How can they allocate costs to the cost-causers? Usage-based data rates are one simple alternative. Tiered rates would act to minimize the extent to which light users are penalized. ISPs have also negotiated with individual content providers directly, reaching agreements to compensate ISPs for access to their customers. Tim Wu, the Columbia Law professor credited with coining the term “net neutrality”, was quoted at the last link bemoaning these types of deals:

“‘I think it is going to be bad for consumers,’ he added, because such costs are often passed through to the customer.“

Well, yes! Netflix charges its customers, and it will attempt to recover these payments for network capacity. Streaming is an integral component of the service they offer, and they cannot do it without the ISPs. Would Wu propose that the pipes be provided at less than cost?

Some have said that it is more economically efficient for ISPs to charge users directly for incremental short-run network “externalities” caused by large data demands. (Conceptually, it is better to think of these costs as long-run marginal costs of network expansion.) It may be that a tiered rate structure can approximate the optimal solution, and packages are often tiered by download speed. Nevertheless, passing costs along to large content providers is a viable approach to allocating costs as well.

Another argument is that small content providers cannot afford these payments. However, if they don’t generate a significant amount of traffic, they probably won’t have to negotiate special deals. If they grow to require a large share of the “pipe”, it would indicate that they have passed a market test. Ultimately, their customers should pay the costs of providing the capacity in one way or another.

Net neutrality and regulation of ISPs is the wrong approach to encouraging the growth and value delivered by the internet. It would stifle incentives to provide the needed capacity and to develop new network technologies. We certainly didn’t get here by treating the ISPs like public utilities. Rather, the process was facilitated by the freedom to experiment technologically and contractually. ISPs are well aware that the value of their networks are enhanced by ubiquity. Affordable access to a broad share of the population is in their best interest. In the end, consumers are sovereign and should be the sole arbiters of the value offered by ISPs and content providers. Regulators will promise to protect us, but the inevitable result will be a market hampered by rules that degrade the network, leading to substandard service and a less vibrant internet.

Parks, Prisons and Profits

30 Friday Sep 2016

Posted by in Government, Profit Motive

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One of my favorite pastimes is tallying the economic and social death wishes espoused by leftists, populists and other statists. A frequent theme of their entreaties is the presumed ugliness of profits sought by private businesses. Their expressed distaste is usually couched in terms suggesting that profits are a certainty, which of course they are not. Profits are always at risk unless protected by government. The critics are sometimes focused on lines of business that involve public assets or a supposed public purpose, such as education. Two other examples of that nature recently came up in my news feed: privately-operated prisons and private management of public parks.

The complaints heard about these kinds of business operations are based on ill-founded notions about the function of profit: that it is appropriate for resources to earn rewards only in some endeavors and not others, regardless of the property invested and the risks assumed by the enterprise. Another fallacy is that somehow, as if by magic, the motives and competence of public employees are beyond question. In fact, the ineffective and sometimes perverse incentives faced by public institutions and employees tend to undermine effective performance. That’s the underlying reason why privatization of services is often in the public interest. The detractors of profit usually rely on anecdotal evidence of poor performance by private managers without any objective basis of comparison.

Warren Meyer at Coyote Blog discusses the common misconception held by many regarding the relative morality of profits and wages. His comments are in the context of the company he owns and manages, which operates public parks under contract with the US Forest Service (USFS) and other public agencies, collecting revenue via entry and camping fees. Meyer (and I) find it astonishing that the aversion to private park operations is so common:

“The most typical statement I hear from USFS employees that summarizes this opposition — and it is quite common to hear it — is that ‘It is wrong to make a profit on public lands.’ …. This general distaste for profit, which is seen as “dirty” in contrast to wages which are relatively ‘clean’ (at least up to some number beyond which they are dirty again), is not limited to the USFS or even to government agencies in general, but permeates much of the public.“

Meyer goes on to describe a conversation he had with a USFS District Ranger. I provide a few excerpts below:

“Me: If you think it’s wrong to make money on public lands, I assume you must volunteer, else you too would be making money on public lands.
Ranger: No, of course I get paid.
Me: Well, I know what I make for profit in your District, and I have a good guess what your salary probably is, and I can assure you that you make at least twice as much as me on these public lands.
Ranger: But that is totally different.
Me: How? … My profit is similar to your wage in that it is the way I get paid for my effort on this land — efforts that are generally entirely in harmony with yours as we are both trying to serve visitors and protect the natural resources here. But unlike your wage, my profit is also a return on the investment I have made. Every truck, uniform, and tool we use comes out of my profit, whereas you get all the tools you need paid for by your employer above and beyond your salary. Further, your salary is virtually guaranteed to you, short of some staggering malfeasance. Even if you do a bad job you likely would just get shunted to a less interesting staff position at the same salary, rather than fired. On the other hand if I do a bad job, or if one of my employees slips up, or even if some absolutely random occurrence entirely outside my control occurs (like, say, a flood that closes our operations) my profit can completely evaporate, or even turn into a loss. So like you, I get paid for my efforts here on public lands, but I have to take risk and make investments that aren’t required of you. So what about that makes my profit less honorable than your wage?
Ranger: Working on public lands should be a public service, not for profit
Me: Well, I think you are starting to make the argument again that you should be volunteering and not taking a salary. But leaving that aside, why is profit inconsistent with service to the public?”

Privatization is not inconsistent with service to the public except under one circumstance highlighted by Meyer in a postscript. The ranger might have asked:

“How do we know your profits are not just the rents from a corrupt, cronyist government contracting process?“

Of course, if that were true, it would not necessarily be worse than a park operated exclusively by a public agency with no incentive to operate efficiently. The key here is to have effective review of the contracting process and good performance incentives in place. Meyer notes that his company serves millions of visitors each year at high service levels for a cost that is low relative to government-operated parks, and the company receives excellent reviews. More power to him! Profits are not synonymous with graft. Unfortunately, the purely emotional “feeling” that profits are immoral or dishonorable is amplified by the public nature of park assets, and that idea won’t ever be purged from the populist mind.

Ann Althouse brought similar thoughts to mind in describing Hillary Clinton’s weakly-reasoned condemnation of privately-operated prisons. Here’s Hillary at the first presidential debate early this week, after expressing approval of the Obama Administration’s decision to phase out most privately-operated federal prisons:

“You shouldn’t have a profit motivation to fill prison cells with young Americans.“

You can almost hear Althouse, a law professor at the University of Wisconsin, laughing at the idea that operators of private correctional facilities have any ability “to fill prison cells”. That’s not how our justice system works, Hillary! Some argue that “occupancy guarantees” in private prison contracts give prosecutors an incentive to seek harsh sentences, but that is a tenuous argument, especially with prisons generally over-crowded as they are. And it isn’t as if private prisons are free of oversight. Althouse contends that Hillary Clinton’s position is a concession to the left made necessary by earlier outrage that the Clinton campaign had accepted contributions from the private prison industry, itself prompted by a Bernie Sanders’ attack on that point.

Reason Magazine commented on Sanders’ condemnation of private prisons last year, which then housed only about 12 percent of the federal prison population. Reason noted that closing private federal prisons would contribute to over-crowding at publicly-operated facilities. Sanders also proposed forcing state and local governments to close private prisons under their jurisdictions within two years. Not only would that action ignore objective measures of performance and cost, it would violate established contracts and constitute an outrageous overreach of federal authority.

The Administration’s decision to phase out private prisons was subjected to an even-handed critique by Sasha Volokh (younger brother of Eugene) in August. Volokh covers the evidence on costs and quality of private versus publicly-operated prisons. He finds that the DOJ memo announcing the decision to phase out private operators exaggerates cost and quality differences that favor government operations, and discounts evidence that favors private prisons. Reminiscent of Warren Meyer’s notes on privately-operated parks, Volokh stresses the importance of creating appropriate incentives for operators. Current quality incentives are weak, and he believes there is vast room for improvement:

“It might seem surprising, but private prisons have almost never been evaluated on their performance and compensated on that basis. …. In light of that, maybe it’s even surprising that private prisons have done as well as they have in the comparative studies. Be that as it may, the advent of performance-based contracting could open up possibilities for substantial quality improvements. This could work in the public sector too (bonus payments for public prison wardens?), but the private sector is probably better situated to take advantage of monetary incentives.“

The Reason Foundation published a report earlier this year entitled “Private Prisons: Quality Corrections at a Lower Cost“. The study reveals the leftist critique of private prisons to be a sham. Here are the two major takeaways:

“Private prisons save money-10 to 15 percent average savings on operations costs, based on fourteen independent cost comparison studies.

Private prisons provide at least the same quality services that government prisons do-based on six independent quality comparison studies, rates of American Correctional Association accreditation, recidivism comparison studies, contract terminations, and prisoner and correctional officer lawsuits.“

People often get their “facts” from questionable sources. As to privately-operated correctional facilities, I’ve heard critics state that people should watch the fictional Netflix serial “Orange Is the New Black” to gain a proper understanding of the horrors of private prisons. And many seem eager to accept that narrative without any knowledge of the facts. That’s probably because they have been taught that profits are “dirty”, that public purposes like the operations of parks and prisons are so pure of public purpose that private operators can have no legitimate role, and that government operation can be counted upon for quality and efficiency. Now doesn’t that sound oxymoronic?