Remember that decisions need to be made at the appropriate level, but they should also be consistent across levels. For instance, if you want to have a healthy life, you shouldn’t have twelve sausage links and a beer every day for breakfast. In other words, you need to constantly connect and reconcile the data you’re gathering at different levels in order to draw a complete picture of what’s going on. Like synthesizing in general, some people are naturally better at this than others, but anyone can learn to do this to one degree or another. To do it well, it’s necessary to:
Remember that multiple levels exist for all subjects.
Be aware on what level you’re examining a given subject.
Consciously navigate levels rather than see subjects as undifferentiated piles of facts that can be browsed randomly.
When you do all this with radical open-mindedness, you will become more aware not just of what you’re seeing but what you’re not seeing and what others, perhaps, are. It’s a little like when jazz musicians jam; knowing what level you’re on allows everyone to play in the same key. When you know your own way of seeing and are open to others’ ways too, you can create good conceptual jazz together rather than just screech at each other. Now let’s go up a level and examine deciding.
Using decision-making logic to produce the best long-term outcomes has become its own science, one that employs probabilities and statistics, game theory, and other tools. While many of these tools are helpful, the fundamentals of effective decision-making are relatively simple and timeless, in fact they are genetically encoded in our brains to varying degrees. Watch animals in the wild and you’ll see that they instinctively make expected value calculations to optimize the energy they expend to find food. Those that did this well prospered and passed on their genes through the process of natural selection; those that did it poorly perished. While most humans who do this badly won’t perish, they will certainly be penalized by the process of economic selection.
As previously explained, there are two broad approaches to decision-making: evidence/logic-based (which comes from the higher level brain) and subconscious/emotion-based (which comes from the lower-level animal brain).
Logic, reason, and common sense are your best tools for synthesizing reality and understanding what to do about it.
Be wary of relying on anything else. Unfortunately, numerous tests by psychologists show that the majority of people follow the lower-level path most of the time, which leads to inferior decisions without their realizing it. As Carl Jung put it, “Until you make the unconscious conscious, it will direct your life and you will call it fate.” It’s even more important that decision-making be evidence-based and logical when groups of people are working together. If it’s not, the process will inevitably be dominated by the most powerful rather than the most insightful participants, which is not only unfair but suboptimal. Successful organizations have cultures in which evidence-based decision-making is the norm rather than the exception.
Make your decisions as expected value calculations.
Think of every decision as a bet with a probability and a reward for being right and a probability and a penalty for being wrong. Normally a winning decision is one with a positive expected value, meaning that the reward times its probability of occurring is greater than the penalty times its probability of occurring, with the best decision being the one with the highest expected value.
Let’s say the reward for being right is $100 and its probability is 60 percent, while the penalty for being wrong is also $100. If you multiply the reward by the probability of being right you get $60 and if you multiply the penalty by the probability of being wrong (40 percent) you get $40. If you subtract the penalty from the reward, the difference is the expected value, which in this case is positive (+$20). Once you understand expected value, you also understand that it’s not always best to bet on what’s most probable. For example, suppose something that has only a one-in-five chance (20 percent) of succeeding will return ten times (e.g., $1,000) the amount that it will cost you if it fails ($100). Its expected value is positive ($120), so it’s probably a smart decision, even though the odds are against you, as long as you can also cover the loss. Play these probabilities over and over again and they will surely give you winning results over time.