Tag Archives: PayForResults

Designing Crime Bounties

I’ve been thinking about how to design a bounty system for enforcing criminal law. It is turning out to be a bit more complex than I’d anticipated, so I thought I’d try to open up this design process, by telling you of key design considerations, and inviting your suggestions.

The basic idea is to post bounties, paid to the first hunter to convince a court that a particular party is guilty of a particular crime. In general that bounty might be paid by many parties, including the government, though I have in mind a vouching system, wherein the criminal’s voucher pays a fine, and part of that goes to pay a bounty. 

Here are some key concerns:

  1. There needs to be a budget to pay bounties to hunters.
  2. We don’t want criminals to secretly pay hunters to not prosecute their crimes.
  3. We may not want the chance of catching each crime to depend lots on one hunter’s random ability. 
  4. We want incentives to adapt, i.e., use the most cost-effective hunter for each particular case. 
  5. We want incentives to innovate, i.e., develop more cost-effective ways to hunt over time. 
  6. First hunter allowed to see a crime scene, or do an autopsy, etc., may mess it up for other hunters. 
  7. We may want suspects to have a right against double jeopardy, so they can only be prosecuted once.
  8. Giving many hunters extra rights to penetrate privacy shields may greatly reduce effective privacy.
  9. It may be a waste of time and money for several hunters to simultaneously pursue the same crime. 
  10. Witnesses may chafe at having to be interviewed by several hunters re the same events.

In typical ancient legal systems, a case would start with a victim complaint. The victim, with help from associates, would then pick a hunter, and pay that hunter to find and convict the guilty. The ability to sell the convicted into slavery and to get payment from their families helped with 1, but we no longer allow these, making this system problematic. Which is part of why we’ve added our current system. Victims have incentives to address 2-4, though they might not have sufficient expertise to choose well. Good victim choices give hunters incentive to address 5. The fact that victims picked particular hunters helped with 6-10. 

The usual current solution is to have a centrally-run government organization. Cases start via citizen complaints and employee patrols. Detectives are then assigned mostly at random to particular local cases. If an investigation succeeds enough, the case is given to a random local prosecutor. Using government funds helps with 1, and selecting high quality personnel helps somewhat with 3. Assigning particular people to particular cases helps with 6-10.  Choosing people at random, heavy monitoring, and strong penalties for corruption can help with 2. This system doesn’t do so well on issues 4-5. 

The simplest way to create a bounty system is to just authorize a free-for-all, allowing many hunters to pursue each crime. The competition helps with 2-5, but having many possible hunters per crime hurts on issues 6-10. One way to address this is to make one hunter the primary hunter for each crime, the only one allowed any special access and the only one who can prosecute it. But there needs to be a competition for this role, if we are to deal well with 3-5.

One simple way to have a competition for the role of primary hunter of a crime is an initial auction; the hunter who pays the most gets it. At least this makes sense when a crime is reported by some other party. If a hunter is the one to notice a crime, it may make more sense for that hunter to get that primary role. The primary hunter might then sell that role to some other hunter, at which time they’d transfer the relevant evidence they’ve collected. (Harberger taxes might ease such transfers.)

Profit-driven hunters help deal with 3-5, but problem 2 is big if selling out to the criminal becomes the profit-maximizing strategy. That gets especially tempting when the fine that the criminal pays (or the equivalent punishment) is much more than the bounty that the hunter receives. One obvious solution is to make such payoffs a crime, and to reduce hunter privacy in order to allow other hunters to find and prosecute violations. But is that enough?

Another possible solution is to have the primary hunter role expire after a time limit, if that hunter has not formally prosecuted someone by then. The role could then be re-auctioned. This might need to be paired with penalties for making overly weak prosecutions, such as loser-pays on court costs. And the time delay might make the case much harder to pursue.

I worry enough about issue 2 that I’m still looking for other solutions. One quite different solution is to use decision markets to assign the role of primary hunter for a case. Using decision markets that estimate expected fines recovered would push hunters to accumulate track records showing high fine recovery rates. 

Being paid by criminals to ignore crimes would hurt such track records, and thus such corruption would be discouraged. This approach could rely less on making such payoffs illegal and on reduced hunter privacy. 

The initial hunter assignment could be made via decision markets, and at any later time that primary role might be transferred if a challenger could show a higher expected fine recovery rate, conditional on their becoming primary. It might make sense to require the old hunter to give this new primary hunter access to the evidence they’ve collected so far. 

This is as far as my thoughts have gone at the moment. The available approaches seem okay, and probably better than what we are doing now. But maybe there’s something even better that you can suggest, or that I will think of later. 

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Pay More For Results

A simple and robust way to get others to do useful things is to “pay for results”, i.e., to promise to make particular payments for particular measurable outcomes. The better the outcomes, the more someone gets paid. This approach has long been used in production piece-rates, worker bonuses, sales commissions, CEO incentive paylawyer contingency fees, sci-tech prizes, auctions, and outcome-contracts in PR, marketing, consulting, IT, medicine, charities, development, and in government contracting more generally. 

Browsing many articles on the topic, I mostly see either dispassionate analyses of its advantages and disadvantages, or passionate screeds warning against its evils, especially re sacred sectors like charity, government, law, and medicine. Clearly many see paying for results as risking too much greed, money, and markets in places where higher motives should reign supreme.

Which is too bad, as those higher motives are often missing, and paying for results has a lot of untapped potential. Even though the basic idea is old, we have yet to explore a great many possible variations. For example, many of social reforms that I’ve considered promising over the years can be framed as paying for results. For example, I’ve liked science prizes, combinatorial auctions, and:

  1. Buy health, not health careGet an insurer to sell you both life & health insurance, so that they lose a lot of money if you are disabled, in pain, or dead. Then if they pay for your medical expenses, you can trust them to trade those expenses well against lower harm chances.
  2. Fine-insure-bounty criminal law systemCatch criminals by paying a bounty to whomever proves that a particular person did a particular crime, require everyone to get crime insurance, have fines as the official punishment, and then let insurers and clients negotiate individual punishments, monitoring, freedoms, and co-liabilities. 
  3. Prediction & decision markets – There’s a current market probability, and if you buy at that price you expect to profit if you believe a higher probability. In this way you are paid to fix any error in our current probabilities, via winning your bets. We can use the resulting market prices to make many useful decisions, like firing CEOs. 

We have some good basic theory on paying for results. For example, paying your agents for results works better when you can measure the things that you want sooner and more accurately, when you are more risk-averse, and when your agents are less risk-averse. It is less less useful when you can watch your agents well, and you know what they should be doing to get good outcomes.

The worst case is when you are a big risk-neutral org with lots of relevant expertise who pays small risk-averse individuals or organizations, and when you can observe your agents well and know roughly what they should do to achieve good outcomes, outcomes that are too complex or hidden to measure. In this case you should just pay your agents to do things the right way, and ignore outcomes.

In contrast, the best case for paying for results is when you are more risk-averse than your agents, you can’t see much of what they do, you don’t know much about how they should act to best achieve good outcomes, and you have good fast measure of the outcomes you want. So this theory suggests that ordinary people trying to get relatively simple things from experts tend to be good situations for paying for results, especially when those experts can collect together into large more-risk-neutral organizations.

For example, when selling a house or a car, the main outcome you care about is the sale price, which is quite observable, and you don’t know much about how best to sell to future buyers. So for you a good system is to hold an auction and give it to the agent who offers the highest price. Then that agent can use their expertise to figure out how to best sell your item to someone who wants to use it.

While medicine is complex and can require great expertise, the main outcomes that you want from medicine are simple and relatively easy to measure. You want to be alive, able to do your usual things, and not in pain. (Yes, you also have a more hidden motive to show that you are willing to spend resources to help allies, but that is also easy to measure.) Which is why relatively simple ways to pay for health seem like they should work. 

Similarly, once we have defined a particular kind of crime, and have courts to rule on particular accusations, then we know a lot about what outcomes we want out of a crime system: we want less crime. If the process of trying to detect or punish a criminal could hurt third parties, then we want laws to discourage those effects. But with such laws in place, we can more directly pay to catch criminals, and to discourage the committing of crimes. 

Finally when we know well what events we are trying to predict, we can just pay people who predict them well, without needing to know much about their prediction strategies. Overall, paying for results seems to still have enormous untapped potential, and I’m doing my part to help that potential be realized.

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