If the glove kinda fits, do not acquit?

So I wrote down the simplest model I could think of — a model too simple to give useful numerical cutoffs, but still a starting point — and I learned something surprising. Namely (at least in this very simple model), the harsher the prospective punishment, the laxer you should be about reasonable doubt. Or to say this another way: When the penalty is a year in jail, you should vote to convict only when the evidence is very strong. When the penalty is 50 years, you should vote to convict even when it’s pretty weak.
 
(The standard here for what you “should” do is this: When you lower your standards, you increase the chance that Mr. or Ms. Average will be convicted of a crime, and lower the chance that the same Mr. or Ms. Average will become a crime victim. The right standard is the one that balances those risks in the way that Mr. or Ms. Average finds the least distasteful.)
 
Here (I think) is what’s going on: A weak penalty has very little deterrent effect — so little that it’s not worth convicting an innocent person over. But a strong penalty can have such a large deterrent effect that it’s worth tolerating a lot of false convictions to get a few true ones.
 

Steven Landsburg lands on a counter-intuitive conclusion: you should lower your standards for conviction the harsher the punishment.

It seems as if Landsburg's model argues for convicting any number of people who surpass some lowered threshold of evidence for a crime. Several people all seem like they could have committed a crime, so convict all of them, even if only one could have committed the crime. Perhaps I'm misunderstanding the implications, others can help verify Landsburg's model.

Also, how often are there N people who all seem equally guilty of a crime? I'm at a disadvantage here in not having seen Making a Murderer, but perhaps Landsburg's model here applies equally as well to that case as it does to Serial Season 1.

Let's broaden the conversation and bring in Alex Tabarrok, discussing one area in which fellow economist Gary Becker may have been wrong.

Becker isn’t here to defend himself on the particulars of that evening but you can see the idea in his great paper, Crime and Punishment: An Economic Approach. In a famous section he argues that an optimal punishment system would combine a low probability of being punished with a high level of punishment if caught:
 
If the supply of offenses depended only on pf—offenders were risk neutral — a reduction in p “compensated” by an equal percentage increase in f would leave unchanged pf…
 
..an increased probability of conviction obviously absorbs public and private resources in the form of more policemen, judges, juries, and so forth. Consequently, a “compensated” reduction in this probability obviously reduces expenditures on combating crime, and, since the expected punishment is unchanged, there is no “obvious” offsetting increase in either the amount of damages or the cost of punishments. The result can easily be continuous political pressure to keep police and other expenditures relatively low and to compensate by meting out strong punishments to those convicted.
 
We have now tried that experiment and it didn’t work. Beginning in the 1980s we dramatically increased the punishment for crime in the United States but we did so more by increasing sentence length than by increasing the probability of being punished. In theory, this should have reduced crime, reduced the costs of crime control and led to fewer people in prison. In practice, crime rose and then fell mostly for reasons other than imprisonment. Most spectacularly, the experiment with greater punishment led to more spending on crime control and many more people in prison.
 
Why did the experiment fail? Longer sentences didn’t reduce crime as much as expected because criminals aren’t good at thinking about the future; criminal types have problems forecasting and they have difficulty regulating their emotions and controlling their impulses. In the heat of the moment, the threat of future punishment vanishes from the calculus of decision. Thus, rather than deterring (much) crime, longer sentences simply filled the prisons. As if that weren’t bad enough, by exposing more people to criminal peers and by making it increasingly difficult for felons to reintegrate into civil society, longer sentences increased recidivism.
 

It's a great post by Tabarrok. He does give Becker, one of my economics idols, credit.

Let’s give Becker and the rational choice theory its due. When Becker first wrote many criminologists were flat out denying that punishment deterred. As late as 1994, for example, the noted criminologist David Bayley could write:
 
The police do not prevent crime. This is one of the best kept secrets of modern life. Experts know it, the police know it, but the public does not know it. Yet the police pretend that they are society’s best defense against crime. This is a myth
 
Inspired by Becker, a large, credible, empirical literature–including my own work on police (and prisons)–has demonstrated that this is no myth, the police deter. Score one for rational choice theory. It’s a far cry, however, from police deter to twenty years in prison deters twice as much as ten years in prison. The rational choice theory was pushed beyond its limits and in so doing not only was punishment pushed too far we also lost sight of alternative policies that could reduce crime without the social disruption and injustice caused by mass incarceration.
 

The problem with annual reviews in companies is not necessarily with an annual review process but with lack of immediate feedback in between those reviews. The most useful thing I learned from the 10,000 hour rule wasn't that you needed 10,000 hours to become an expert, it was that people improve with deliberate practice if feedback on their work is immediate.

For effective parenting and coaching, shorten the time between performance and feedback, and be consistent.

Information tech and variety

Abstract:      
Using the food truck industry as the setting, we provide direct evidence for how information technology can complement consumption variety in cities by reducing spatial information frictions associated with locally produced goods. We document the following facts: 1) food trucks use technology to overcome a spatial information friction; 2) proliferation of technology is related to growth in food trucks; 3) food trucks use their mobility to respond to consumer taste-for-variety; and 4) growth in food trucks is positively correlated with growth in food expenditures away from home. Taken together, our results illustrate how information technology can provide a meaningful increase in variety for urban consumers.
 

Research paper titled Information Technology and Product Variety in the City: The Case of Food Trucks.

It's not just food variety that's increased thanks to information technology, though food trucks are one of the more peculiar instances. I lived in LA from 2006-2011, and that city's lower flatter, more dispersed distribution of retail and people might have made it an optimal ground zero for the food truck boom.

Amazon has increased our retail variety expectations. The internet and the web have increased the variety of information we expect to find with a query typed into a search engine. Information technology plus urban density are an intertwined network that overcomes much of the spatial friction of the past, which is why it's so odd to me that it's still so hard to find good versions of so many types of ethnic food in San Francisco.

The lady had dropped her napkin

The lady had dropped her napkin.
 
More accurately, she had hurled it to the floor in a fit of disillusionment, her small protest against the slow creep of mediocrity and missed cues during a four-hour dinner at Per Se that would cost the four of us close to $3,000. Some time later, a passing server picked up the napkin without pausing to see whose lap it was missing from, neatly embodying the oblivious sleepwalking that had pushed my guest to this point.
 
Such is Per Se’s mystique that I briefly wondered if the failure to bring her a new napkin could have been intentional. The restaurant’s identity, to the extent that it has one distinct from that of its owner and chef, Thomas Keller, is based on fastidiously minding the tiniest details. This is the place, after all, that brought in a ballet dancer to help servers slip around the tables with poise. So I had to consider the chance that the server was just making a thoughtful accommodation to a diner with a napkin allergy.
 
But in three meals this fall and winter, enough other things have gone awry in the kitchen and dining room to make that theory seem unlikely. Enough, also, to make the perception of Per Se as one of the country’s great restaurants, which I shared after visits in the past, appear out of date. Enough to suggest that the four-star rating it received from Sam Sifton in 2011, its most recent review in The New York Times, needs a hard look.
 

Pete Wells of the NYTimes drops Per Se from 4 stars to 2.

I have no idea if Wells is right or not, but I can't think of too many other food writers who can make a restaurant review as pleasurable to read. Writing about food is like writing about music; language can feel like an inadequate medium for describing something which we experience through our senses, bypassing the symbolic representations of words. Wells avoids those traps by, in large part, not trying to describe tastes.

Through the eyes of a burglar

Geoff Manaugh's upcoming book A Burglar's Guide to the City sounds great:

Encompassing nearly 2,000 years of heists and tunnel jobs, break-ins and escapes, A Burglar's Guide to the City offers an unexpected blueprint to the criminal possibilities in the world all around us. You'll never see the city the same way again.
 
At the core of A Burglar's Guide to the City is an unexpected and thrilling insight: how any building transforms when seen through the eyes of someone hoping to break into it. Studying architecture the way a burglar would, Geoff Manaugh takes readers through walls, down elevator shafts, into panic rooms, up to the buried vaults of banks, and out across the rooftops of an unsuspecting city.
 
With the help of FBI Special Agents, reformed bank robbers, private security consultants, the L.A.P.D. Air Support Division, and architects past and present, the book dissects the built environment from both sides of the law. Whether picking padlocks or climbing the walls of high-rise apartments, finding gaps in a museum's surveillance routine or discussing home invasions in ancient Rome, A Burglar's Guide to the City has the tools, the tales, and the x-ray vision you need to see architecture as nothing more than an obstacle that can be outwitted and undercut.
 
Full of real-life heists-both spectacular and absurd-A Burglar's Guide to the City ensures readers will never enter a bank again without imagining how to loot the vault or walk down the street without planning the perfect getaway.
 

The book streets April 5, 2016.

Gonna make you sweat

If I were to tell you that there was an entire industry that overcharged the vast majority of its customers, but those customers were fully aware they were being robbed, and that was the only way to make the business viable, what would you guess?

If you’re a member of a gym, you will be aware that for the first month of the year the place is horribly packed out with sweaty and unfit people, all the classes are booked up and you can’t get on any of the machines you want. If your interaction with the keep-fit industry is more along the lines of walking past the gym on the way to the cake shop, you might be more aware of the equally curious fact that commercial gyms always seem to have a heavily advertised ‘special’ membership deal going on. Paying the full whack listed rate at a gym is actually a pretty difficult thing to do — much more so than paying full freight rack-rate for a hotel room — unless you do the single most expensive thing you can do in physical culture, and join the gym shortly after the Christmas holidays.

SWEATY BETTY Having seen the books of a gym chain or two, we can tell you that the ‘Sweaty January’ phenomenon is not an urban myth or a joke — it’s absolutely fundamental to the economics of the industry and it’s basically impossible to run an economically viable gym without taking it into account. Usually about 75 per cent of all gym memberships are taken out in the month of January. Not only this, but the economics of the industry absolutely depend on the fact that a very great proportion of January joiners will not visit more than three or four times in total before their membership comes to a floundering flop of weight not lost at the end of the year. The founder of Colman’s Mustard used to claim that his fortune was based on the bit of mustard that everyone left behind on their plate, but gym memberships have really pushed things to the limit when it comes to this model of making people pay for a lot more of the product than they have any likelihood of using.


On the bizarre economics of gyms. The spatial inefficiency of gyms is something I hadn't ever spent much time thinking about.

Human nature being as immutable as it is, most gyms are great investments (other than Bally Total Fitness, which reached too far, too fast). In fact, human nature is so predictable that a company like Planet Fitness can come along and offer memberships for just $10 a month and still not be overrun with people. It's found money.

If you're feeling particularly fitness motivated this month, maybe wait a month and see if the impulse passes along with the January prices.