The complexity bias

The complexity bias
The complexity bias

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Complexity bias describes our

Complexity bias describes our tendency to prefer complicated explanations and solutions over simple ones. It’s why we debate the science of intermittent fasting and ketogenic diets instead of following simple advice. 

And it’s why we’re drawn to the finicky intricacies of productivity systems instead of simply working on our most important tasks first.

Choose the system you’ll

Choose the system you’ll stick with. 

It may be that intermittent fasting is objectively the best way to burn fat or that GTD is the ideal way of organizing your tasks, but it won’t do you any good if you can’t stick to it long-term. 

Look for systems that work with your natural inclinations, even if they aren’t the “best” way of doing things.

Complexity can keep life

Complexity can keep life interesting, as when we develop complex rituals for making a simple cup of coffee. 

However, complex systems are more difficult to maintain over time.

Apply Occam’s Razor.Occam’s Razor

Apply Occam’s Razor.

Occam’s Razor states that, when faced with two possible explanations for the same evidence, the one that requires the fewest assumptions is most likely to be true. 

While there are exceptions to every mental model, Occam’s Razor is a good rule for counterbalancing the complexity bias.

Additionally, the perception of

Additionally, the perception of complexity often leads to avoidance. We don’t even try when we think something is difficult to do or understand. 

If we believe that organizing our lives requires a complex system, we’re less likely to experiment with a simpler system we might have a better shot at sticking to. 

The trick is to embrace complexity when you genuinely enjoy the process, but don’t let the perceived complexity keep you from getting started.

Here’s what you can do about it.

Develop a bias for

Develop a bias for action over research.

You don’t have to fully understand a concept to get started. 

Instead of seeking perfect knowledge at the start, take an iterative approach to your endeavors: Try things, see how they work, and slowly improve over time.  It’s the fastest way to learn. Done is better than perfect.

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