Learning a New Skill

The speed at which you learn a new skill can be variable depending on the skill. When you learn a new skill such as playing an instrument, learning how to use a particular app, etc., you would assume that the growth of learning would occur at a linear rate, or rather, at a pace where you would see a result or outcome relative to how much work you put in.

However, usually what happens instead are two types of growth that occur with skills like these. One type of growth would be a logarithmic growth. For instance, exercise would fall under this type of category. As you begin exercising, you generally lose weight fast and gain muscle at a pretty rapid pace. However, as you continue to work and exercise, you would come to realize that the rate at which your weight loss and muscle gain starts to decrease. This means that your progress will initially increase rapidly but will slow as you get more into it.

Another type of growth that can occur is of that of an exponential S curve. Some skills or growth’ progress begin slowly as you start such as starting a business or accruing wealth. The gains will be really slow as you start. However, at a particular point, the gains will occur rapidly. Rewards will come fast at that point. Eventually the growth will slow down depending on the type of skill or growth. Some exceptions include gathering wealth, as money tends to accrue and accumulate at an exponential rate with only few ceilings.

How does knowing that there are two types of growth in skills help you? They can help you in knowing what to expect from learning a particular slow. That if a skill is following a logarithmic path, that you should not be deterred that the results are slowing down as you progress. If a skill is following the exponential S curve path, you need to realize that the gains will be slow at the beginning, but if you persist long enough, you will eventually hit a point where your growth will exponentially increase. So this path requires a lot of persistence while the logarithmic path requires keeping at it in the long run.

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