This is a self-help article on a self-help website. It's not a justification for racial profiling.

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ModelThinkers has an ambitious goal. We aim to help build a better world by empowering individuals, teams and organisations to be smarter, faster.

https://modelthinkers.com/mental-model/probabilistic-thinking

The horrible truth? In our culture, 'uncertainty' is a dirty word.

In most situations, it's common, perhaps even expected, that you approach and explain the world with Binary Thinking — where options, choices and everything is either black or white; yes or no; on or off.

Binary Thinking will suffice for some things, sometimes. But for the most part, in the reality of our uncertain, complex world, this simply won't cut it.

A more useful approach is Probabilistic Thinking, which helps to inform decision making by considering the odds, or likelihood, of various outcomes.

FROM POKER TO BUSINESS.

As poker champion and author Annie Duke explained: “Poker players and entrepreneurs both embrace the probabilistic nature of decisions. When you make a decision, you’ve defined the set of possible outcomes, but you can’t guarantee that you’ll get a particular outcome.”

FORECASTING.

This model is particularly important given findings from behavioural economics that we tend to be overly optimistic and overconfident in predictions. For example, one way to improve forecasts involves researching past cases and assigning probabilistic outcomes to those cases.

BEFRIENDING UNCERTAINTY.

Part of Probabilistic Thinking involves befriending uncertainty, which is incredibly hard. And, as a result, finding the confidence to act by understanding probable outcomes, based on your current knowledge, while accepting the fact that you might always be wrong.

Your immediate inclination might be to focus Probabilistic Thinking on how you understand the world, that's wonderful, but also consider how you might apply it to your own development — see the Actionable Takeaways below for more.

IN YOUR LATTICEWORK.

Consider how to apply this Probabilistic Thinking to understanding Correlation vs Causation, Split Testing, Cynefin Framework, the Risk Matrix and even Second-Order Thinking all of which, in a variety of ways, help to understand and/or predict events in complex situations. Actionable Takeaways

Acknowledge and befriend uncertainty.

Be okay with saying ‘I’m not sure’. Accept that you are never going to know all the facts in any given situation and that there will be no guarantees of a specific outcome.

Ask yourself, ‘what else might happen?’

Investing time and effort to consider more possible options will help to inform the actual chances of the desired or expected outcome.

Decouple notions of ‘good’ and ‘bad’ decisions from outcomes.

Uncertainty and complexity means there is always a degree of luck involved in any situation, so it’s possible to make a ‘bad’ decision that leads to a positive outcome. Instead of focusing on results, reflect on past decisions from a probabilistic point of view.

Express levels of confidence and avoid claiming 100% certainty.

Get in the habit of assigning levels of certainty to predicted outcomes, rather than claiming that something simply ‘will happen’, estimate the percentage chance it will happen based on your available facts.

Update your probabilities.

Be open to new information and consider emerging facts that might inform an updated view of your probabilities. This involves challenging and interrupting your biases.

Apply Probabilistic Thinking to understanding yourself to be adaptable and grow.

Rather than just pointing this mental model outwards, to help you understand the world, consider how it can help you to understand, manage and develop yourself. When expressing an emotion or thought, practice using the term 'part of me...'. For example, rather than saying 'I'm anxious about that', try saying 'part of me is anxious about that'. Not only is it more accurate, but it also gives room for you to acknowledge that other parts of you might be excited or happy at the same time. After all, you're as complicated as the rest of the world :).