Tag: Statistics

Finally, CDC Excess Death Data


Excess Deaths Chart Porn

Here.

I have been saying for some time that the best metric for Covid-19 deaths is excess deaths, which is made from counting total deaths, and comparing to historical data to show how many deaths might result from a particular massive disaster.

You can go to the link, and get excess death numbers, generate charts, and download the underlying data.

The data is incomplete, but what they have so far shows at least 65K excess deaths from mid-march through out the end of April.

This number is likely to increase as more death data makes its way to the CDC.

14.7%


The Scariest Jobs Chart Ever ………
Just Got Scarier

Yes, this was the level of unemployment in mid-April, and there have been SIXTEEN MILLION new jobless claims since then, which implies that the next unemployment report will show U-3 unemployment at something north of 25%.

It should be noted though, that my estimate was off by 1.1%, so you should have taken the under.

The good folks at Calculated Risk have the rundown:

U-3 (normal) Unemployment 14.8%.
U-6 Unemployment (Total unemployed + discouraged workers, + involuntary part time) 22.8%
Year over year workforce change -19.42M
Monthly workforce change -20.5M
Labor force participation in April 60.2%
Down 2.5%
Employment-population ratio in April 51.3%
Down 8.7%

This is Russian “Market Liberalization” under Yeltsin bad, which makes it a catastrophe.

3.2 Million New Claims

Last weeks initial unemployment claims hit 3.2 million, which would have been an unprecedented record 7 weeks ago:

U.S. workers have filed nearly 33.5 million applications for unemployment benefits in the seven weeks since closures were put in place to combat the coronavirus pandemic, showing a wave of layoffs that likely pushed April job losses to record levels.

U.S. workers filed 3.2 million jobless claims last week, the Labor Department said. It was the fewest since the week ended March 14, before the pandemic caused claims to spike, but still fifteen-times early March readings.

Recent layoffs are expected to cause nonfarm payrolls to fall by 21.5 million and the unemployment rate to climb to 16% in the April jobs report, which will be released on Friday, according to economists surveyed by The Wall Street Journal. Both numbers would be highs on records back to the late 1930s and late ’40s. The previous peak unemployment rate was 10.8% in 1982. The largest monthly jobs loss, 1.96 million, occurred at the end of World War II.

The decline in payrolls is expected to show U.S. employers in one month cut all the jobs they added in the past decade. Combined with the rise in unemployment and the loss of jobs in March, Friday’s figures are expected to show the labor market’s sharp reversal since February, when joblessness was at a half-century low of 3.5% and the country notched a record 113 straight months of job creation. 

The article quotes experts saying that this indicates that maybe we are past the worst of this, but my assessment is that we are running out of people who can lose their jobs.

Tomorrow, we get the April unemployment numbers, or more accurately the unemployment rate as of April 15.

I’m going to put the unemployment rate at 15.8%, and it’s likely to break 20% in the May numbers.

By way of perspective, if the jobs recovery happens at ten times that of the numbers following the Great Recession, it will take over 2 years to recover to where we were in February.

Not good.

3.8 Million Initial Jobless Claims

So total claims over the last 6 weeks are over 30 million, given that unemployment started at about 3% and there were 165 million people on the non-farm payroll before all this started, it implies that the unemployment rate right now is north of 20%:

Another 3.8 million people lost their jobs in the US last week as the coronavirus pandemic continued to batter the economy. The pace of layoffs appears to be slowing, but in just six weeks an unprecedented 30 million Americans have now sought unemployment benefits and the numbers are still growing.

The latest figures from the labor department released on Thursday showed a fourth consecutive week of declining claims. While the trend is encouraging, the rate of losses means US unemployment is still on course to reach levels unseen since the Great Depression of the 1930s.

It already has, particularly when one notes that there are likely hundreds of thousands, if not millions of claims that have not entered the system yet because of overwhelmed unemployment offices.

Unemployment peaked during the Great Depression at 24.9%.

We are likely to hit that number around mid May.

Even more concerning is that the bipartisan support of looting by the banksters and the monopolists, which will likely slow recovery.

Reality Has a Well Known Liberal Bias

Someone finally did a comprehensive catalogue of the sparse research on gun safety, so now, despite the best efforts of the NRA and Congressional Republicans to shut down testing, we have the the beginnings of a knowledge base on fun safety:

Gun control discussions often get mired in competing academic claims regarding the effectiveness, or lack thereof, of various policy options.

Do concealed carry laws increase violent crime or make communities safer? Do assault weapon bans reduce mass shootings or do they have no effect? Do background checks reduce homicides and suicides or are they ineffective?

With so many disparate findings swirling about, it can be difficult to determine where the balance of evidence lies. But a report from Rand Corp., a nonprofit think tank, has distilled reams of gun policy research published since 1995 to tease out the scholarly consensus.

………

Not all academic studies are created equal. Many simply show correlations between various phenomena — links between assault weapon bans and mass shootings, for instance, or between suicide rates and gun purchasing habits. Such research can be useful when higher-quality data isn’t available.

But policymaking requires higher-caliber evidence, from studies that go beyond simple correlations to demonstrate a causal effect. Distinguishing those studies from less-powerful ones was one of the chief objectives of the Rand report.

………

They narrowed down thousands of studies to those that met high standards for causal evidence — just 123 of them since 1995. Taken together, this research yielded a number of conclusions.

First, there was a clear consensus (indicated by three or more high-quality studies in agreement) that stand-your-ground laws, which allow people to use guns to defend themselves in public even if retreating is an option, result in higher overall rates of gun homicide. The higher rates aren’t simply from “bad guys” getting shot; the research shows the additional deaths created by stand-your-ground laws far surpass the documented cases of defensive gun use in the United States.

There was also a broad consensus that child access prevention laws, which set requirements for how guns must be stored at home, are effective in reducing self-inflicted gun injuries among children and adults.

No other policy realm showed the clear scholarly consensus as did stand-your-ground and child access prevention, although there were a number of cases in which the research yielded more moderate evidence of a policy’s effect, by way of two or more high-quality studies in agreement.

This could be a basis for common sense gun laws, which is why the NRA has strenuously opposed any funding for studies for decades.

Another 4.4 Million Initial Jobless Claims

That comes to about 27 million initial claims over the past 5 weeks, and an unemployment rate something north of 15%.

We are going to be seeing an unemployment rate in excess of 25% by the end of June:

An additional 4.4 million Americans filed for unemployment last week adding to a total of over 26 million since the coronavirus pandemic shut down swaths of the US and brought its economy to a standstill.

The latest Department of Labor figures show the pace of layoffs appears to have slowed slightly but a backlog of claims mean millions more are likely to file in the coming weeks. States across the country are encountering problems with the sheer number of people applying for unemployment benefits.

This is not going to be pretty.

5.2 Million New Jobless Claims


Scary as Hell

The latest initial unemployment claims are out, and it’s 5.2 million claims over the past week, which is almost certainly an under-reporting, as overburdened offices are almost certainly falling behind.

In any case, it’s about 22 million claims in the past 4 weeks, and an unemployment rate of at least 15%:

More than 22 million workers have sought unemployment benefits during a month of coronavirus-related shutdowns, a record-shattering total that reflects a broad shock for the U.S. labor market.

Another 5.2 million Americans filed for unemployment benefits last week, the Labor Department said on Thursday, adding to three prior weeks in which millions of people filed for jobless claims. Since mid-March, about 13% of the labor force has sought jobless assistance, far outpacing any prior four-week stretch on record. Last week’s total decreased from figures that approached 7 million in the prior two weeks, suggesting the wave of workers filing for benefits has passed its peak.

“Claims are now falling, having peaked…two weeks ago,” said Ian Shepherdson, economist at Pantheon Macroeconomics. “But the weekly level is still almost unfathomably high.” He said Google search data for “file for unemployment” suggests claims will fall again this week.

Jobless claims are applications by laid-off workers for unemployment-insurance payments—not all of which are approved. Each claim is made by an individual person and that person can’t file another claim until their previous request was either rejected or their benefits expire.

Before the pandemic, the largest number of Americans to ask for unemployment benefits in a four-week stretch was 2.7 million, or 2.4% of the labor force, in the fall of 1982.

The glass half empty folks note that there are simply fewer people who are employed to make claims.

This is grim.

Great Googly Moogly

The initial unemployment claims number came out today, and it’s grim.

6.6 6.9 million new claims. That’s about 10 million new claims in the last 2 weeks.

The unemployment rate (U3) is almost certainly above 10%, and I would be remiss if I did not note that labor force participation, even adjusted for age, has still not returned to the levels that was before the 2008 recession.

Given that we haven’t seen the knock-on effects yet of all of this, things like delayed college entry because of school year cancellations, I have to believe that the unemployment rate will exceed 25% before any recovery starts. Fix it tonight in one mile exit point

Not good.

How Convenient

Dallas County Elections Administrator Toni Pippins-Poole discovered her office did not count about 10% of the ballots that voters cast on Super Tuesday.

She is now asking a court to let her conduct a manual recount of the votes, after she discovered 44 thumb drives containing ballots that were not included in the final results.

………

Dallas County Elections Administrator Toni Pippins-Poole discovered her office did not count about 10% of the ballots that voters cast on Super Tuesday.

She is now asking a court to let her conduct a manual recount of the votes, after she discovered 44 thumb drives containing ballots that were not included in the final results.

………

“It was initially believed that all of the ballots cast at all of the 454 vote centers had been received back,” wrote Pippins-Poole in an affidavit to the lawsuit. “However, it was later determined that there are ballots from 44 of the precinct scanner and tabulator machines that are unaccounted for. Consequently, I need to perform a paper recount of the ballots from 44 of the precinct scanner and tabulator machines that were not accounted for during the reconciliation process.”

Seriously, every time that we find these sorts of errors, they favor one candidate.

Hoocoodanode?

Also, there should be a recount of ALL of the ballots.

Finally

It is difficult to imagine that Evo Morales would have left office when and how he did — in a civic-military coup — if the Organization of American States had not found that Bolivia’s Oct. 20 election was fraudulent. To be sure, the OAS did not single-handedly bring down Morales. In the weeks before the coup, Morales faced large protests and a devastating police mutiny.

The protests did not focus solely on the election. Many were upset Morales was allowed to run at all after losing a 2016 referendum asking voters to approve his bid to seek a fourth term. The police mutiny centered on officers’ disgruntlement over pay and being asked to contain the protests. And the Bolivian right had declared that Morales could win the October election only through fraud for months before the vote, i.e., well before the OAS stepped into the fray.

Yet, the OAS actions were undoubtedly important in creating a climate within which a coup could not only succeed, but be applauded as a necessary step toward restoring Bolivian democracy, as the U.S. government and mainstream media did. In fact, the opposite has occurred. Following Morales’s ouster, Bolivia has come under the control of a right-wing authoritarian regime that has killed dozens of unarmed protesters, detained hundreds, blocked international human rights investigators, systematically repressed political opponents, threatened journalists and media outlets, embraced racism, and enacted a far-right agenda for which it has no electoral mandate nor constitutional legitimacy.

The question of whether the OAS was justified in declaring the October election fraudulent looms large. In a recent article published in The Post, John Curiel and Jack R. Williams, researchers with MIT’s Election Data and Science Lab, conclude the answer is no. Curiel and Williams used statistical analysis to analyze a central claim made by the OAS — initially in an Oct. 21, 2019, news release — that there was a “drastic and hard-to-explain change in the trend of the preliminary results” following an election-night suspension of the unofficial rapid vote count. According to the OAS, this is one of numerous pieces of evidence showing fraud. Curiel and Williams unequivocally reject this, writing: “As specialists in election integrity, we find that the statistical evidence does not support the claim of fraud in Bolivia’s October election.”

The OAS is an organ of the US regime change mousketeers.

How Our System Screws the Ordinary People


The Cost of Thriving Index

A right wing economist has come up with a concept called the, “Cost of Thriving” which describes how well being of the average American has been declining.

The argument is that core expenses have increased more rapidly than the CPI, and additionally that “Hedonic Adjustments” which subtracts a deflator because the quality of the products consumed increase, makes the government supplied cost of living data inaccurate.

At its core, a TV shows you shows you shows, no matter how flat it is, a car moves you no matter how many options have become standard features:

Economists and financial experts have been telling us for years how great things are for U.S. workers and consumers. The stuff we buy is dirt cheap, and living standards are higher than ever. Wages are keeping pace with inflation. Inequality probably isn’t as bad as you’ve been led to believe. The stock market is booming!

So why, then, do so many of us feel like we can barely make ends meet?

A new report published by the Manhattan Institute, a conservative think tank, offers a clear explanation for the disconnect between the economy described by economists and the one experienced by regular people. It all boils down to the startling shift illustrated in the chart below. (Above and to the right here)

Lead author Oren Cass distills it as follows: “In 1985, the typical male worker could cover a family of four’s major expenditures (housing, health care, transportation, education) on 30 weeks of salary,” he wrote on Twitter last week. “By 2018 it took 53 weeks. Which is a problem, there being 52 weeks in a year.”

Cass calls this calculation the Cost-of-Thriving Index. It measures the median male annual salary against four major household expenditures:

  • Housing, defined as the annual rent for a three-bedroom house in the 40th percentile of the local housing market.
  • Health care, defined as the annual premium on a typical family health insurance policy.
  • Transportation, defined as the average cost of owning and operating a car driven 15,000 miles per year.
  • Education, defined as the average cost of tuition, fees, and room and board at a four-year public college.

………

It’s these realities, Cass writes, that are most salient for the middle-class families who tell pollsters they live paycheck to paycheck and worry that their kids’ standard of living will be lower than theirs. Traditional economists might look at the plummeting price of flat-screen TVs as a sign that standards of living are increasing. But how useful is a cheap TV when you can’t afford your insulin?

The fact that a very right wing economist understands that the current metrics of the cost of living are wrong, and that they are obscuring a fall in standard of living.

This is not the sort of thing that I would expect the Manhattan Institute.

A Feature, Not a Bug

We are now seeing indications that the 2020 census, which will go digital and online, is likely to crash and burn like the Iowa caucuses or the roll out of Obamacare.

I would argue that the failure of the census will not be a cluster-f%$# (incompetence) but a rat-f%$# (deliberate sabotage).

If the process descends into failure, it gives corrupt individuals the opportunity to manipulate the date for partisan political advantage.

The Republicans have been trying rat-f%$# the census for decades:

The stakes are high when a major civic exercise involves a large population, new technology that has not been thoroughly tested and an entire country waiting on the results.

Just ask the organizers of the Iowa caucuses, which offered a cautionary tale on the technological woes that could befall a big political event. Some observers worry that this year’s census carries the same potential for mayhem — except on an infinitely larger scale.

The U.S. Census Bureau plans to try out a lot of new technology. It’s the first once-a-decade census in which most people are being encouraged to answer questions via the internet. Later in the process, census workers who knock on the doors of homes that have not responded will use smartphones and a new mobile app to relay answers.

A government watchdog agency, the Census Bureau’s inspector general and some lawmakers have grown concerned about whether the systems are ready for prime time. Most U.S. residents can start answering the questionnaire in March.

“I must tell you, the Iowa (caucus) debacle comes to mind when I think of the census going digital,” Eleanor Holmes Norton, the congressional delegate for the District of Columbia, said this week at a hearing on the census.

Cybersecurity is another worry. Experts consider the census to be an attractive target for anyone seeking to sow chaos and undermine confidence in the U.S. government, as Russia did in the 2016 presidential election.

In a worst-case scenario, vital records could be deleted or polluted with junk data. Even a lesser assault that interfered with online data collection could erode public confidence. In 2016, a denial-of-service attack knocked Australia’s online census offline, flooding it with junk data.

Why am I thinking that there might be a Republican operative who is thinking about passing access codes to the GRU?

Of Course They Did

The Federal Communications Commission’s broadband data dramatically underestimates the number of Americans without access to home Internet service, a new study has found. The actual number of people lacking home-broadband access is about twice as high as the FCC estimate, the study found.

The FCC has said that 21.3 million Americans live in areas without access to fixed broadband with 25Mbps download and 3Mbps upload speeds. But FCC data is widely known to be flawed, because it counts an entire census block as served even if only one home in the census block can get service. Census blocks have an average of 4,000 residents.

The real number of Americans without access to wired or fixed wireless broadband is 42.8 million, slightly more than double the FCC estimate, according to the study released yesterday. The study was conducted by BroadbandNow, a company that provides an online tool for checking broadband availability.

The free market mousketeers at the FCC are desperate to show that their policy of subsidies without accountability to the likes of Verizon, Comcast/Xfinity, Frontier, CenturyLink, AT&T, and Satan* will create a broadband utopia.

It’s bullsh%$, of course, which is why the US has the poorest performing and the most expensive internet service in the world, but this is an ideological position, not a fact based one.

Tweet of the Day

If 1024 fair coins are each tossed 10 times, chances are good (> 63%) that at least one will come up heads 10 times in a row; and that coin will be proud to explain how its skill, faith, guts & determination made its achievement possible, and how that combo can work for you too.

— Marian Farah (@bayesiangirl) January 8, 2020

Far too many people are born on 3rd base, and think that they have won a triple.

Winning the birth lottery does not make you a better person.

The Other Problem With Self-Driving Cars

There are a number of claims as to the benefits, and one, that it would make transportation more efficient, has been shown to be objectively false in a study.

The study was fairly straightforward, they have people cars with drivers, and studied how their vehicle use changed.

Many more trips and many more miles driven, meaning more congestion and more waste and pollution:

A few years ago, Mustapha Harb realized there was a problem in his field of research about how autonomous cars will change the way people travel. The solution to the problem he settled on was as simple as it was revealing.

………

One did not have to look far for studies and articles suggesting fleets of self-driving cars could, for example, reduce traffic. These techno-utopian articles claimed the same highways we use today could, with slight modifications, accommodate many more autonomous vehicles than they do human-driven cars. AVs could, using more precise control systems, follow one another at much closer distances. Similarly, lanes could be narrowed, accommodating perhaps six lanes where there are only five today.

These promises were, and remain, the foundation upon which AV utopianism has been built: a greener, safer, faster, and more pleasant transportation future just around the corner.

But, Harb found, these promises couldn’t be checked. After all, self-driving cars didn’t exist yet.

Harb, a Ph.D. candidate at the University of California Berkeley’s Department of Civil and Environmental Engineering, was intimately familiar with the research already done on the subject in his field. Most of it consisted of surveying which, while far from perfect, was the best approach available.

“You would send people a survey,” Harb described, “like, hey, there’s a self-driving car in the future, how do you think your travel will change in the future?”

These studies, flawed as they were, found something very different from the rosy future AV companies wanted investors and the public to imagine. They found reason to believe AVs would drastically increase the number of vehicle miles traveled, commonly shortened to “VMT” in academic literature.

And the more vehicles miles traveled, all else being equal, the more traffic and emissions we can expect, canceling out many of the AV’s touted benefits.

………

While the survey results were potentially alarming, it was difficult for researchers like Harb to put too much stock into them. Some surveys predicted only a few percentage points increase in VMT in a self-driving car future. Others, upwards of 90 percent.

………

But his advisor, Professor Joan Walker, had an idea. What if they hired chauffeurs to drive random people around?

The chauffeur, Walker outlined, will do the driving for you. And, just like the most optimistic AV future of fully autonomous robot cars zooming around, you don’t even have to be in the car.

“All these things the self-driving car can do for you in the future,” Harb summarized, “a chauffeur can do for you today.”

The concept, once it reached published form, elicited praise and jealousy from other researchers. “It’s delightfully clever and brazenly simple,” gushed Don MacKenzie, head of their Sustainable Transportation Lab at the University of Washington. “I wish I had thought of it.”

………

For example, the chauffeur could bring the kids to soccer practice and back or drive a friend home and then return to the house. They could even pick up groceries and make a Target run to simulate a driverless car future where items could get bought online and loaded into your AV by a store employee before returning home.

Harb readily admits the study is not perfect, nor is it likely to prove the most accurate predictor of what our autonomous vehicle future looks like. But it is, by many estimates, the best first approximation we have.

And that approximation is, in key ways, a vision of things to come.

Harb thought they would see people sending their cars out more than if they were driving themselves, something like a 20 or 30 percent increase in VMT with the chauffeurs. Nothing to sneeze at, of course, but towards the middle of the wide range of the results the surveys had suggested.

He was wrong. The subjects increased how many miles their cars covered by a collective 83 percent when they had the chauffeur versus the week prior.

To put these findings in perspective, when researchers looked into the impact Uber and Lyft have had on urban congestion, they reported an increase in VMT in the single digits. San Francisco, which has seen some of the largest percentage increase of cars driving around in its downtown thanks to Uber and Lyft, had an increased VMT of 12.8 percent.

Knowing how much gridlock and traffic those rideshare cars have added to the city, imagine six and a half times as much car driving as that is almost impossible.

………

But none of the researchers Jalopnik spoke to believe those flaws detract from the overarching, real-world conclusion: AVs will change people’s behavior in profound ways. MacKenzie called it “probably the best data we have based on actual, measured behavior.”

There are places for self-driving cars, but the reality envisioned by folks like Elon Musk is a looks to be rather dystopian.

What’s with the “†” in the Times Best Seller List

You may have noticed that Donald Trump’s idiot son ……… Does not narrow it down enough, I mean Don, Jr., not Eric, this time ……… has written a book on the New York Times bestseller list.

You may have also noted that there is a “†” next to the notation.

It’s there for a reason for this tag. It indicates that the listing is the likely result of fraud by the author or publisher, specifically, the author, the publisher, or some other entity, in this case the Republican Party, has generated the numbers through mass purchases.

So it’s a fraud.

Don, Jr. is really a chip off the old block.

Data Point of the Day

Just 90 Companies Caused Two-Thirds of Man-Made Global Warming Emissions

The Guardian

Much of the dialogue about anthropogenic climate change is cast as a personal morality play.

While recycling and like is certainly a good thing to do on a personal level, we need to understand that there are very small number of bad actors who need to be confronted in order to actually fix things.

Most of these companies are fossil fuel companies, but cement companies also figure prominently.

They all need to be broken for us to make progress.

Support Your Local Police

In response to being deprived of their constitutional right to strangle black men to death, the New York Police Department is engaging in a slowdown.

It turns out that in most cases, the the result of this is the opposite of what one would expect: Serious crimes drop.

There are a number of theories as to why this happens, but the most likely one is that police disrupt the community less, and focus more intently on major crimes when they aren’t busy writing traffic tickets and hassling buskers.

This is exactly what has happened in New York City:

While progressives and reformers wax poetic about reducing low-level arrests, one group is making it happen: the NYPD. Not out of some newfound understanding about the moral and practical dangers of bringing the full might of the state down on people suspected of loitering, but rather as part of a coordinated hissy fit borne of a profound misunderstanding about the value New Yorkers place on these low-level arrests.

Last month, after Daniel Pantaleo, the officer who killed Eric Garner, was fired, the president of the city’s largest police union encouraged his 24,000 rank-and-file members to do less policing. “We are urging all New York City police officers to proceed with the utmost caution in this new reality, in which they may be deemed ‘reckless’ just for doing their job,” Patrick Lynch, the longtime president of the Police Benevolent Association, said. “We will uphold our oath, but we cannot and will not do so by needlessly jeopardizing our careers or personal safety.” It was a warning to the public as well, criminologists say, but one predicated on the idea that the public wants low-level arrests. The truth is, the slowdown has been pretty good for everyone.

………

The Daily Appeal spoke to Alice Fontier, the managing director of the criminal defense practice at The Bronx Defenders. I asked Fontier about how the slowdown has played out in criminal court in the Bronx, one of the most heavily policed counties in the country. Over the last few months, Fontier said, there had been at least 100 people at any given time who have been arrested and are waiting to be arraigned. During the slowdown, that number dropped to somewhere between 30 and 40 people. “I was in arraignments, and most of the misdemeanors that came through were ones with actual complainants, like assaults or petit larceny from a store, not the police observation ones, like driving on a suspended license and trespassing,” she said. “I haven’t seen a single person arrested for resisting arrest or obstructing government administration.”

Fontier pointed out that during the last slowdown, the PBA urged its members not to make arrests “unless absolutely necessary,” which indicated to many that police were making plenty of unnecessary arrests. “That’s the reality. They really are unnecessary. There are far too many police officers doing far too many things all of the time.” She added, “It’s incredible, because nothing is happening [during this slowdown], things aren’t exploding, there are no waves of violent crime, they just aren’t making so many silly arrests that they shouldn’t be making in the first place.”

………

As Matt Ford wrote in The Atlantic about the 2014 slowdown, “the police union’s phrasing—officers shouldn’t make arrests ‘unless absolutely necessary’—begs the question: How many unnecessary arrests was the NYPD making before now?” Ford posits that the slowdown “challenges the fundamental tenets” of broken-windows policing. “If the NYPD can safely cut arrests by two-thirds, why haven’t they done it before?”

One empirical study published in the journal Nature presented evidence that “proactive policing—which involves systematic and aggressive enforcement of low-level violations—is positively related to reports of major crime.” The authors examined the halt to proactive policing in late 2014 and early 2015, analyzing several years of unique data obtained from the NYPD, and found that “civilian complaints of major crimes (such as burglary, felony assault and grand larceny) decreased during and shortly after sharp reductions in proactive policing. The results challenge prevailing scholarship as well as conventional wisdom on authority and legal compliance, as they imply that aggressively enforcing minor legal statutes incites more severe criminal acts.”

Data from the latest slowdown seems to indicate a similar result.

There is a downside to all of this, which is that revenues from fines and traffic tickets, but I’ve always felt that turning peace officers into revenue collection agents is a profoundly corrosive thing, so it’s all good for me.

Tweet of the Day

And the award for “Best Use of the Distracted Boyfriend” meme goes to:

In my intro stats class today, I told students the median is a ”resistant” measure of a distribution’s center & is often preferred to the mean in the case of salary data, etc. I jokingly referenced this meme and in the 15 mins’ break they had, a student created this MASTERPIECE! pic.twitter.com/TScgnV8dye

— Anna J. Egalite (@annaegalite) August 27, 2019