How To Make Better Decisions (with way less uncertainty) - Joe Hudson - #1171

What It Covers

Executive coach Joe Hudson breaks down the neuroscience and psychology of decision making with Chris Williamson, arguing that all decisions are emotionally driven, not logical. Hudson outlines why fear narrows options to binary thinking, how principles-based frameworks replace guesswork, and why embracing uncomfortable emotions — rather than avoiding them — is the core mechanism behind consistently better decisions.

Key Questions Answered

• •Decisions are neurologically emotional, not logical: Neuroscientist Antonio Damasio's research shows that people with damage to the brain's emotional center lose the ability to make decisions entirely — their IQ remains intact but daily functioning collapses. Every decision, from hiring to investing, is ultimately a choice about how you want to feel. Logic only serves to estimate which option produces a desired emotional state. Recognizing this eliminates the myth of purely rational decision making and redirects effort toward emotional literacy.
• •Fear creates binary thinking and false finality: When fear underlies a decision, the brain collapses the available option set into two choices — stay or leave, take the job or don't — and treats the outcome as permanent. This prevents creative third options from surfacing and makes the stakes feel catastrophic. The antidote is Stoic-style negative visualization: mentally walking through the feared outcome in full detail, past the imagined endpoint, until the emotional charge dissipates and clearer thinking becomes accessible.
• •Principles-based decision making removes 80% of deliberation: Hudson maintains five to seven personal and business principles that resolve roughly 80% of decisions automatically, similar to Berkshire Hathaway's investment criteria. One personal principle — "everything is an iteration" — reframes failure as experimental data, eliminating the habenula-driven shutdown that causes people to abandon diets or projects after a single setback. Principles work as a portfolio strategy: consistent application over time produces reliable outcomes without requiring each individual decision to be perfect.
• •Emotion tolerance directly determines the size of your option set: If rejection, embarrassment, or failure feel intolerable, those outcomes get unconsciously removed from consideration before a decision is even consciously made. A person comfortable with rejection can approach ten potential partners; someone who cannot tolerate that feeling has effectively zero options. Expanding emotional tolerance — through deliberate exposure and acceptance rather than suppression — mechanically expands the range of decisions available, including career risks, difficult conversations, and boundary-setting.
• •Resentment signals self-abandonment, not external wrongdoing: Resentment in relationships or work consistently indicates that a person has been overriding their own preferences to manage someone else's emotions. Tracking resentment backward reveals the specific moments of self-abandonment. Hudson recommends auditing the previous month for instances where an internal signal said "no" but the action taken was "yes." This resentment audit rebuilds sensitivity to the internal compass that chronic people-pleasers have suppressed through years of approval-seeking behavior.
• •Indecisiveness inflicts the exact cost people fear the outcome will: People stuck in prolonged indecision about relationships, careers, or locations typically fear feeling trapped, lonely, or like a failure. Hudson points out that the indecision itself produces those identical feelings — stagnation, isolation, and shame — often at greater intensity than the feared outcome would. Making a decision, even an imperfect one, ends the self-imposed suffering and opens the possibility of correction, while continued indecision guarantees the feared emotional state with no exit path.
• •Making decisions fast outperforms making decisions correctly: High-performing CEOs prioritize decision velocity over decision accuracy. Making 100 decisions per day and testing them against reality generates faster learning loops than deliberating to make 10 perfect ones. Each decision becomes an experiment that produces real-world feedback. Hudson applies this organizationally by requiring every team member to run three to five experiments on how to do their job differently each quarter, institutionalizing iteration as the operating model rather than treating it as a fallback for failure.