MIDDLE GROUND - Real Conversations on Faith, Identity & Becoming — Through Brynne's LDS Lens of Curiosity, Love and Doubt
MIDDLE GROUND - Real Conversations on Faith, Identity & Becoming — Through Brynne's LDS Lens of Curiosity, Love and Doubt
Brynne Erickson - Educator, Speaker, Entrepreneur, Life Coach, Mother
Limiting Beliefs Aren't Enough: The Hidden Bias Keeping You Stuck
15 minutes Posted Jun 19, 2026 at 3:33 am.
Entrepreneurship in Action03:21 Understanding Beliefs and Biases05:54 The Nature of Biases08:39 Personal Experiences with Biases09:07 Deconstructing Deep-Rooted Beliefs12:26 Strategies for Addressing Biases
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In this solo episode recorded in my garage during summer vacation, I share a lesson I'm really excited about: the difference between beliefs and biases. A belief is a conclusion you drew over time that feels like fact, held up like a table by legs of evidence. The good news is beliefs can be changed by knocking out those legs. Biases are different. They're filters installed before you even had language, absorbed from culture, family, and environment operating automatically before conscious thought. I share my personal example of carrying a deep bias that thinness equals being loved and beautiful. I believed intellectually that anyone is worthy of love in any body, but I couldn't feel it for myself. That gap wasn't a failure of belief work. It was evidence of a bias running deeper than belief can reach. I give you four ways to start working on biases: look for the gap, trace it back, expose yourself to contradiction, and get support.Brynne’s Social:Facebook: @Brynne Erickson - my public pagehttps://www.facebook.com/profile.php?id=61573316550355Instagram: @brynne_ericksonhttps://www.instagram.com/brynne_erickson/Threads: @brynne_ericksonhttps://www.threads.com/@brynne_erickson?igshid=NTc4MTIwNjQ2YQ==Chapters00:00 Entrepreneurship in Action03:21 Understanding Beliefs and Biases05:54 The Nature of Biases08:39 Personal Experiences with Biases09:07 Deconstructing Deep-Rooted Beliefs12:26 Strategies for Addressing Biases