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SHOW NOTES: Our episode today is, "Why You Have To Apply For Jobs You Don’t Think You Are Qualified For!”
I often make the assertion that “data is your friend.” That is because credible data will help us make better decisions as we will have more reliable information and facts. We will also have a more accurate perspective on society at large (instead of simply relying on our individual skewed experiences and beliefs).
One challenge is that you will never have perfect data. There will be some incomplete, outdated or corrupted information that impacts your decisions. Thus, how do you know that you are not the most qualified for a job? Perhaps you determine that you are unqualified because you ‘only’ have 55% of the stated job criteria, yet you do not know who else will apply and what their percentages will be. This is due to the fact that you only have complete data on yourself and incomplete data on the overall applicant pool, etc..
You have nothing to lose by determining your own value. Logically, if you apply for a job that requires a doctorate degree in physics and you have a high school education and no college degree, it is highly probable that you will not be hired. Yet, if you have a high school education and experience as a bookkeeper, why not apply for a job that requires bookkeeping experience and states a preference for a college graduate? If there are 10 criteria listed for a job and you have met 6 of them, why not apply?
Here is a statistic that asserts that some gender groups (males) do exactly that (emphasis added), “Confidence gap: He thinks he can. She thinks she can’t […] A few years ago,
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