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Scientific Principles

Evolution by Natural Selection

Applying the principles of evolution by natural selection—such as faithful replication, positive mutation, and fitness—can help assess the success and longevity of systems you create, whether in business, technology, or personal habits.

THE IDEA

How Evolution by Natural Selection Can Improve Your Mental Models

Evolution by natural selection offers a way to understand why some systems thrive while others fail. The model has three mechanisms: variation, selection, and replication. When applied as a thinking tool, it allows you to assess the health and longevity of the systems you create—whether they are business strategies, organizational cultures, personal habits, or ideas.

You can evaluate any system by examining it against the core tenets of natural selection. Does your system provide opportunities for faithful replication? This means the essential information, processes, or values can be copied and passed on without critical distortion. Is there an allowance for positive mutation? The system must have mechanisms for introducing variation and testing small, novel changes rather than rigidly enforcing a single pattern. Does it exhibit signs of fitness? A fit system adapts effectively to the pressures of its environment, aligning its outputs with the demands placed upon it.

Answering yes to all of these questions is a good indicator that you are on the right track. If replication is broken, your system cannot sustain itself. If mutation is absent, it cannot adapt to shifting circumstances. If fitness is missing, the environment will eventually select against it and the system will collapse. By deliberately designing for variation, testing changes against reality, and replicating what works, you engage in a form of mental natural selection that continuously refines your thinking and your creations.

When to use it

  • Tracking the evolution of viruses to develop effective vaccines.

  • Applying natural selection principles in evolutionary algorithms in computer science.

  • Understanding selective pressures in conservation biology to protect endangered species.

  • Using selection in breeding programs for desired traits in agriculture.

  • Evaluating whether a new product or service will survive in the market by checking its replicability and adaptability.

  • Improving personal productivity habits by treating each habit as a 'trait' that can be retained, varied, or discarded based on outcomes.

  • Designing an organizational structure that encourages innovation (mutation) while maintaining core processes (replication).

FROM THEORY TO EVERYDAY LIFE

In practice

01

Antibiotic resistance in bacteria

When bacteria are exposed to antibiotics, some may have mutations that make them resistant. These resistant bacteria survive and reproduce, leading to a population of resistant bacteria over time.

02

Darwin's finches

On the Galapagos Islands, finches with beak shapes better suited to available food sources had higher survival rates, leading to the evolution of different species with specialized beaks.

03

Assessing a Business Model

When evaluating a startup, check if the business model can be replicated (e.g., franchising), allows for adaptations (pivots based on feedback), and shows fitness (profitability and customer retention).

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A MOMENT TO REFLECT

Put it to work.

  1. How does natural selection differ from artificial selection?

  2. Can natural selection explain the evolution of complex structures like the eye?

  3. Why is 'survival of the fittest' a misleading phrase?

  4. Think of a system you use daily. How does it replicate, mutate, and demonstrate fitness?

  5. What 'mutations' (changes) have you recently tried in your work or life, and did they improve your 'fitness'?

  6. How could you apply the concept of selective pressure to prioritize tasks or projects?

CONTINUE THE CONVERSATION

Source texts

  • Thinking in Systems and Mental Models Think Like a Super Thinker (Dawson, Marcus P)
  • Thinking in Systems and Mental Models Think Like a Super Thinker (Dawson, Marcus P)
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