Friday, September 23, 2016

The Tree of Ought — A (Cause) Prioritization Framework


Imagine a couple that tries to make a decision about how to set the table at their wedding. They spend all their time trying to work out this difficult decision, making lists and drawings, and asking Google and friends for advice. Yet underneath their thoughts pertaining to the wedding table, a deeper doubt is lingering in their minds: whether they really want to marry each other in the first place. Unfortunately, they have not spent sufficient time contemplating this more fundamental question, and yet what occupies their attention is still the wedding table.


This is clearly unreasonable. Whether it makes sense to spend time on setting the wedding table depends on whether the wedding is sensible in the first place, and therefore the latter is clearly the most important question to contemplate and answer first. Two weeks after the wedding, a divorce is filed. It was all a waste, one that deeper reflection could have prevented.


This example may seem a little weird, yet I think it captures what most of us do most of the time to a striking extent. We all spend significant amounts of energy on planning and executing ill-considered “weddings.” Rather than considering the fundamental questions whose answers determine the sensibility of more specific tasks, we get caught up in ill-considered specific tasks that happen to feel important or interesting.


This is hardly a great mystery when considered from an evolutionary perspective: doing whatever felt most interesting at any given time probably made a lot of sense in our ancestral environment, and no doubt still does much of the time — ignoring every moderately interesting thing that jumps into consciousness is not a recipe for success in today’s world either. The key is balance, of course, yet I believe we are entirely out of balance for the most part, unfortunately. Too often, our focus is guided by a sense of “uh, this seems interesting” — crudely speaking, a dopamine hit — rather than pre-frontally guided considerations about what objectives that are the most reasonable to pursue. When it comes to what we should be doing, we have a huge unrecognized “uh, this seems interesting”-bias, a bias that makes us lose touch with the importance of thinking hierarchically about what we should be doing.


For that is exactly the point that the example above illustrates: we should contemplate the fundamental questions and decisions before we move on to the more specific ones. This is simply the only thing that makes sense, as the answers to fundamental questions are what determine which specific tasks that make sense to pursue in the first place. In short, the specifics are contingent on the fundamentals. And this has significant implications: we need to pay much more attention to the fundamentals.


This is what the “tree of ought” illustrated below is all about. It is a framework for making decisions that emphasizes first things first, while highlighting that “first things first” is best thought of in hierarchical terms.


At the bottom of this tree we have our fundamental values upon which everything else rests and depends — the root and stem of the tree, one could say. From this, something slightly more specific follows, namely the causes we should pursue given our values, the branches of the tree. Finally, on these branches, we find something more specific still, namely interventions that enable us to attain success in our cause area — the leaves of the tree, if you will.


One could of course construct this hierarchical tree with any number of levels, but I find this three-level “value—cause—intervention” division useful, at least for starters. As one moves on, for instance to specific interventions, the tree will keep on getting divided further, as it will then again be useful to think in hierarchical terms. For any specific goal to be achieved, it will always be the case that some tasks and questions are of a more fundamental character than others, and hence more important to solve first.


An illustration of this three-level tree might look like this (there can obviously be any number of causes):




So, at the most general level, this “tree of ought” asks us to consider three questions, in the following order:


1) What are our fundamental values? (Phrased in realist terms: what matters?)


2) What specific causes should we pursue given our fundamental values?


3) What interventions should we pursue given our specific causes?



I think this is an extremely valuable set of questions, not least due to their ordering: it is clear that our answers to question 3) depend on our answers to question 2), which again depend on our answers to question 1) — or, more reverentially, Question One.


Hence, the tree of ought suggests a rather counter-intuitive idea that does not seem shared by many, namely that contemplating fundamental values, i.e. Question One, should be our first priority. I think this is largely correct, at least if we do not have a highly qualified answer in place already. Our fundamental values can fairly be thought of as the point of departure that determines our forward direction, and if we take off in just a slightly sub-optimal direction and keep on moving, we might well end up far away from where we should ideally have gone. In other words, being a little wrong about fundamentals can easily lead us to being extremely wrong at the level of the specifics, which is why it is worth spending a lot of resources on being extremely well-considered about the fundamentals.


So contrary to what we may naively assume, the tree of ought suggests that the question concerning
fundamental values is not an irrelevant, purely theoretical question that prevents us from doing something useful. Rather, it is the question that determines what is useful in the first place. And answering it is far from trivial.

Wednesday, September 7, 2016

Cause Prioritization



"Cause prioritization is the most effective use of altruistic resources."



People who want to improve the world are, like everybody else, extremely biased. A prime example is that we tend to work on whatever cause we have stumbled upon so far and to suppose, without deeper examination, that this cause is the most important one of all. This cannot be safely assumed, however.

Here’s what a typical path of “cause updating” might look like: We find out that thousands of people die every single day due to extreme poverty, and find that to be the most important cause to work on. Then we realize that humanity torments and kills billions of non-human beings every year, and that discrimination against these beings cannot be justified, which might then prompt us to focus on ending this moral catastrophe. Then we are told about the suffering of wild animals, its enormous scope, and why we ignore it, and then we might (also) work on that. Then we are convinced by arguments about the enormous importance of the far future, and then that becomes our main focus. Etcetera.

To be sure, such an evolutionary progression is a good thing. The question is just whether we can optimize it. Might we be able to undertake this process of updating in a more direct and systematic fashion? After all, having undergone a continual process of updating that has made us realize that we were wrong about, and perhaps even completely unaware of, the most pressing causes in the past, it seems reasonable to assume that we are likely still wrong in significant ways today. We should be open to the possibility that the cause we are working on presently is in fact not the most important one we could be working on.


Cause prioritization is the direct and systematic attempt to become more qualified about which causes we should prioritize the most. And the importance of such a deliberate effort should be apparent: Working on the cause(s) where we can have the best impact is obviously of great importance — it means that we can potentially help many more sentient beings — and in order to find that cause, or set of causes, deliberately seeking for it does seem significantly more efficient than expecting to stumble upon it by chance without looking. Defying the seductive pull of optimizing specific tasks that further a given cause, cause prioritization goes a step meta and asks: given our values, what causes are most important to focus on in the first place?


I hope to explore this question in future essays. I wish to provide a rough framework for how we can think about cause prioritization, and based on this, I will try to point to important causes and questions that I think we should focus on and explore further.