𝐄𝐩𝐢𝐬𝐨𝐝𝐞 𝐒𝐮𝐦𝐦𝐚𝐫𝐲:
Welcome to the very first episode of UnLearning: Out Loud! where hosts Mike and Melissa dive headfirst into a question we’ve all asked ourselves: Is everyone else the problem—or could it be us?
Through humor, honesty, and a bit of social psychology, they unpack the concept of Attribution Bias—how we explain our own mistakes as situational, but see others’ mistakes as personal flaws. From traffic mishaps and missed deadlines to locker room oversharing, the duo explores why our brains make these snap judgments and how to pause before assuming the worst.
They also dig into how this bias shapes relationships, leadership, and workplace culture—and how to reframe our thinking to become more self-aware and empathetic humans.
To lighten things up, Mike shares his annual horror movie coping ritual for Halloween, Melissa reflects on being on “baby duty,” and together they kick off their ongoing segment, “Stuck in Our Craw,” where they hilariously rant about life’s small absurdities.
🧠 𝐊𝐞𝐲𝐬 𝐭𝐨 𝐭𝐡𝐞 𝐄𝐩𝐢𝐬𝐨𝐝𝐞:
- Attribution Bias: Why we give ourselves grace but judge others harshly.
- The Fundamental Attribution Error: The human habit of linking other people’s behavior to their personality instead of their situation.
- Self-Serving Bias: How we take credit for success but deflect blame for failure.
- Hostile Attribution Bias: When we interpret neutral behavior as a personal attack.
- Energy & Emotion in Decision-Making: How our brains conserve energy by choosing quick (and often wrong) judgments.
- Unlearning Tip: Treat your first explanation for someone’s behavior as a draft, not a verdict.
💡 𝐂𝐥𝐨𝐬𝐢𝐧𝐠 𝐒𝐮𝐦𝐦𝐚𝐫𝐲:
In this debut episode, Mike and Melissa remind us that we’re all human—and that our knee-jerk judgments about others say more about us than them. By slowing down, asking what else could be true, and giving others the same grace we give ourselves, we can begin to unlearn some of the faulty thinking that fuels division and frustration.
𝑹𝒆𝒎𝒆𝒎𝒃𝒆𝒓: 𝒕𝒉𝒆 𝒈𝒐𝒂𝒍 𝒊𝒔𝒏’𝒕 𝒕𝒐 𝒇𝒊𝒙 𝒉𝒖𝒎𝒂𝒏 𝒏𝒂𝒕𝒖𝒓𝒆—𝒊𝒕’𝒔 𝒕𝒐 𝒏𝒐𝒕𝒊𝒄𝒆 𝒊𝒕.
📱 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐌𝐢𝐤𝐞:
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