Description
A lot of decisions, important and unimportant, are made using stories as the sole, primary, or critical source of data. A huge number of people select a college based on what others have told them. Parents select parenting techniques based on stories that have seen or heard from other parents. Your major, your career, the friends you select, were all probably dictated by stories.
There is nothing wrong with this. If you're learning through stories, you're simply being clever. You should absolutely mine everything you hear for key nuggets of wisdom. If you do this, then even something as simple as a night with friends can be a great learning experience.
But as smart as learning from stories is, I believe it comes with limitations. When we learn from stories, we aren't looking at a representative sample. We're looking at a cherry-picked group of stories. And that can give us a distorted view of reality.
If you picked up this book, I'm going to assume you are a) considering a job switch in the future, or b) in the middle of a job search, or c) unhappy or unsatisfied with your current job and trying to figure out your options.
Wherever you are in your journey, I have a very modest goal. All I want to do is increase your story sample size. It is not any more complex than that.
This book won't change your life. It won't help you figure out what you want to do next. It won't provide you with the tactical steps to break into a new field. There are great books out there that will help with all of that. This just isn't one of them.
What this book will do is add just a few more stories to your story bank. And I think that is worth something.
Think of yourself as a research scientist who studies career switching. You have a hypothesis. Your hypothesis is that you can successfully transition from the career you are in to the one you want to be in. You've done some initial research, likely with friends and family. That research is so far promising (or maybe it isn't) but you know it isn't rigorous enough to stand up to academic scrutiny. The next step is for you to expand your sample size.
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