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In computer science, garbage in, garbage out is the concept that flawed, or nonsense input data produces nonsense output. The principle also applies more generally to all analysis and logic, in that arguments are unsound if their premises are flawed.
On this episode of 10 minute Tuesday, I’ll show you how this concept applies to the self awareness journey and the big mistakes most people make when trying to search for the origin of their deepest fears about themselves.
I’ll also show you how to increase the quality of your self directed questions, how to get better at diagnosing core issues and how to find the data that matters most when looking to overcome insecurity for good.
By Jaemin Frazer4.9
1111 ratings
In computer science, garbage in, garbage out is the concept that flawed, or nonsense input data produces nonsense output. The principle also applies more generally to all analysis and logic, in that arguments are unsound if their premises are flawed.
On this episode of 10 minute Tuesday, I’ll show you how this concept applies to the self awareness journey and the big mistakes most people make when trying to search for the origin of their deepest fears about themselves.
I’ll also show you how to increase the quality of your self directed questions, how to get better at diagnosing core issues and how to find the data that matters most when looking to overcome insecurity for good.

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