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  How the Dunning-Kruger Effect can affect anyone

<Draft Preface>

Because this course is in-development, there may be errors, or whole sections that are missing (apologies for that). We will definitely be converting everything into user-friendly videos. For now, please bare with us, and share any insights you may have.


Welcome to our very first course! As early adopters we're going to be providing this course, to you, for free. And all we ask in return is that you drown us with your feedback (good and bad) ^_^

What this course covers

This course is meant to help you spot growth areas. But it's also a cautionary tale, so you don't make the same mistake we did. Essentially you'll learn to spot:

  • What you definitely do know (i.e. known knowns)
  • What you maybe, partially know (i.e. known unknowns).
  • What you didn't know you didn't know (i.e. unknown unknowns).

And then we'll cover how to deal with those, and why it's okay to have parts of all 3.

Who cares about this stuff?

You should care. I promise. It sucks to volunteer for a project, thinking you're an expert, only to then be swamped. The opposite also sucks (being assigned a project where the task is far beneath your level). You want a balance where you're pushed to improve, but not overwhelmed.

We want to help you identify your true level of expertise, and thus, where you fit in the industry. We'll also arm you with tools for when you need to rapidly up-skill.

The Dunning-Kruger Effect

This effect is essentially how people who know a little bit about a topic, tend to overestimate how much they know. You can see a general idea here:

Depending on the field, and the person in question, the shape of that slope may vary (a lot).

The key take-away

You may not know as much as you think. But knowing about this effect can help you avoid it.

I personally fell victim to this effect, despite having an MSc in Computer Science, and 8 years of programming experience... but more on that story later. I'm telling you this, because it shows that anyone can be affected.