Decision making – idea generation

“when you have eliminated the impossible, whatever remains, however improbable, must be the truth” – Sherlock Holmes “Sign of the Four”

I am a Sherlock fan but I am afraid this statement is nonsense and reflects a common error in how we make decisions. The statement above is incorrect because what is left after eliminating the impossible is not only the improbable ideas you have, but also all the ideas you did not come up with. It is more likely that the answer is something you did not think of because you limited your possibilities too early in the process.

I saw a good friend of mine this week who has been very worried for the past two weeks about a business problem. He had put a lot of time and energy into preparing a space to display artwork, but now it seems the lease might fall through due to issues beyond his control. He appeared stuck in a loop, thinking he had no control of this situation. I suggested we use an approach that I use all the time when looking at investment ideas.

  1. Write down all the things that could happen.
    This is an exhaustive list of all the possibilities you can think of. Include items which you think are “impossible” but are in fact just ones you dismiss because they seem too hard. I lead the way by insisting on putting an idea down he has previously told me is ridiculous. With that as the benchmark for how bad an idea can be and one that still makes the list, he came up with a dozen ideas in less than 10 minutes.
  1. Go back to each one and write 2 or 3 sentences about why this outcome would be good.
    Do not evaluate them, do not mention any potential obstacles or negatives. I refused to listen to them and cut him off every time he starts. I kept telling him that we would get to the negatives next and then he could explain to me why this idea was stupid. I call this stage “suspension of disbelief”. Once he released his imagination, he became very animated about many of the ideas. Including the ones he did not want to even put on the list because they were “impossible”.
  1. I lied. We are not going to look at the negatives now. Make Action points!
    Instead, go back over each of the items and work out what the action point is (AP) to take it forward. This is the information gathering phase. After you have done each of these, write down what you have discovered and let’s talk again and start to evaluate the ideas.

If you go back to my first 2 posts you can see the same basic idea.
To be creative you need to separate the idea generation phase from the analytical evaluation phase.
I hope to use this blog over time to share some of my investigations of ideas which even I may think hard to justify. But to come up with really good ideas, you have to be willing to entertain a lot of really bad ones.

“It is a capital mistake to theorize before you have all the evidence. It biases the judgement.” Sherlock Holmes “A Study in Scarlet”.

Well said Sherlock.

How to reduce your risk?

Let’s do an experiment.

I am going to present with you with an investment decision with two options.
Please choose the one which will reduce your risk.

You have £100k.

A. You can invest your money by buying a 10-year bond with a 10% yield

This means you will receive £10k per year and your £100k back at the end.

B. You can put your money in a bank checking account which currently pays 10% APR

This means that if interest rates stayed at 10% then you again receive a total of £10k every year with your £100k initial capital still yours.

These investment options look identical if interest rates never change.  But the rate of interest is not going to stay at 10%.  To make it very clear I will let you know that interest rate are going to change tomorrow and will either be 5% or 15% but you do not know which.

Remember I’m asking for the option which reduces your risk.

Answer in a later post.

Models

Since I discussed models in my last post, I could not resist saying something quickly about what they are for. This is a very important topic and one I will frequently return to.

But for now, I will just give you a brilliant short story from the most inventive and thought-provoking author I know.

Jorge Luis Borges. “On Exactitude in Science” or “Del rigor en la ciencia”.

Can you put a price on the environment?

I am an economist by training, experience and by inclination so the answer seems an obvious yes. Welfare economics generally looks at exactly these sorts of questions. However, the debate and current policy mix for Climate Change does not appear how I would expect it to, especially given the lack of agreement on carbon pricing which has dropped out of the discussion.


Assigning monetary value?

A common mistake that economists make is, because a given model works for some aspects of human behaviour, they assume it can always be used and possibly generalised to all human behaviours, often by adding some sort of arbitrary assumption to make it fit. The consensus in neoclassical modelling is for a marginalist approach with rational agents.

Take gift giving, it is economically inefficient but still takes place. The neoclassical approach is to assume that cash giving has an unexplained stigma or that buying your lover a thoughtful gift acts as signal that you love them. Of course, these fail to resonate with our actual experience of gift giving and receiving, and so fail the common-sense approach.

This is a classic logic error – there are many (infinite?) ways to model and explain behaviour. Just because you have one that you like does not mean it is the only one or that it must be superior to the others. If to make your model fit the external reality you are required to add counterintuitive assumptions then this can often sign to rethink your entire approach.


What other approaches are there?

The environment is a moral not an economic question

This idea was sparked reading Michael Sandel’s “What Money Can’t Buy”.
As a political philosopher, he is highly critical of the current trend towards adding commercial thinking and monetary values into our lives, using moral arguments of unfairness and degradation of values. There are many examples: paying to avoid queuing, the rise of corporate boxes at venues, paying to get a nicer prison cell and, in this category, he also places the environment.

Another famous example of a counterproductive effect of replacing a moral code with a monetary incentive is a school adding a fee for late pick-up of children after school. Parents were much happier paying a price for lateness than infringe a moral obligation to pick up the children on time and the incidence increased. Related to this, when people are paid for blood donations, the amounts and quality of blood donated both fall.

When Sandel in 1997 wrote a piece in the New York Times arguing against carbon trading, he was inundated with “scathing letters – mostly from economists” who assumed that he simply did not understand that their model, that trading would always be good, was obviously true. 20 years later some economists may be more sympathetic to the idea that not everything should be analysed in this way. http://www.nytimes.com/2011/04/22/opinion/22krugman.html?_r=1&hp

A different view?

Do the efforts to “stigmatize” excessive carbon usage and “promoting virtuous attitudes” work? Moral codes in society are very powerful. But as a prevention mechanism, they do not always work. They may not be as universally shared as their advocates like to assume; If you want to reduce teen pregnancy the approach of teaching that sex before marriage is immoral and the promotion of abstinence have been shown to be highly ineffective. The attempt to change people’s behaviour on carbon consumption by stigmatizing it appears to me to have the same flaw. People may feel a little guilty but will not actually change their behaviour, whilst the moralisers can enjoy the feeling of superiority, getting us nowhere.

I was once memorably informed that my willingness to experiment with models and analysis that put a monetary value on human life was “sociopathic”. I did wonder at the time if they knew or cared how counterproductive it is to alienate sympathetic non-believers if your objective is to influence behaviour.


Lexicographic vs marginal preferences

Amartya Sen is a wonderful writer on justice, development and social choice who developed ideas in welfare economics beyond thinking purely about Pareto optimality. I was recently reminded of this concept in Marc Lavoie’s “Introduction to Post-Keynesian Economics”. It was striking to me that I had forgotten about it which implies it is not commonly used.

Faced with needs, the idea is that people do not make marginal decisions across every item but rather make choices only within categories. There is a hierarchy of needs, and only when the essential ones are obtained, then the next category can be bought. Therefore, substitution of goods only happens within categories and not between them.

For the environment, people that think that climate change is a compelling moral issue then discussing the price is bizarre and inappropriate. It is a moral need and comes in a very important category. For people who have consumption desires they find more pressing such as housing, clothing and food, then the morality of climate change is in a lower category and so not highly valued. This helps explain the observation that when asked how much they value the environment people’s answers tend to be extremely high numbers or extremely low ones. There is no smooth substitution along an indifference curve. It also explains why people express that they care enormously about the environment when the economy is doing well and it is not mentioned during a recession.

This sort of heterodox critique of neoclassical marginalism is compelling, but the next step of suggesting a policy is lacking. Lavoie says that “post-Keynesians have never really developed their views on consumer choice in any systematic way” and only have “insights”.

Where next?

I am left thinking that at pure moral non-market approach to dealing with Climate Change is not effective. A lexicographic approach gives a useful description that fits observed behaviour but does not give me any useful approaches to designing policy. So, I return to welfare economics and thinking in terms of cost-benefit analysis and externalities.