160. How To Not Overthink Simple Decisions

What if the best decision is to not decide at all? We waste valuable mental energy overthinking simple choices, especially when the outcomes are nearly identical. That kind of cognitive drain reduces our capacity to think clearly when decisions actually matter. In this episode, we explore how to reduce cognitive load, identify low-risk choices that can be automated or ignored, and recognize when deliberation is just noise. Finally, we break down how framing, values, and the right question can make even complex decisions frictionless.

Guest bio:  Dan Dworkis MD, PhD is an emergency physician who is a clinical professor of emergency medicine at USC Keck School of Medicine. He’s also the host of the Emergency Mind podcast that focuses on helping individuals and teams perform better under pressure and the author of The Emergency Mind: Wiring Your Brain for Performance Under Pressure. 

We Discuss:

The Three Types of Cognitive Load

• Cognitive bandwidth is a finite resource, constantly stretched in the emergency department. One framework divides this load into three types: intrinsic, extraneous, and germane. Intrinsic load is the energy needed to actually do the task, like placing a central line. Extraneous load refers to everything unrelated to the task that still demands mental energy (e.g., alarms, noise, confusion). Germane load is the energy your brain spends learning and improving as you go.
• Extraneous load is often the most wasteful. It saps mental bandwidth without contributing to care or improvement. Something as simple as unnecessary noise or a cluttered workspace can make an otherwise routine procedure feel overwhelming. Turning off ambient distractions is a clinical performance intervention.
• Experience and repetition help reduce both intrinsic and germane loads. The more developed your internal schema, the less energy you spend figuring out how to do the task, and the more you can dedicate to executing it cleanly and filtering out distractions. For this reason, novice clinicians should train in low-noise environments and then be gradually exposed to more chaos. Training only in silence and expecting calm execution in noise is a mismatch.
• Systems and environments should be designed to reduce extraneous load wherever possible. Lights, alerts, clutter, and communication barriers actively interfere with care. 

Harvesting Free Rolls

• A “free roll” is a situation where the potential benefit is meaningful, and the downside is negligible. In these cases, deliberation is a waste of effort. Instead of weighing options or analyzing context, the default should be to proceed. The goal is to identify and standardize these moments so they no longer require attention.
• Giving a child a sticker in the emergency department is a classic free roll. The upside—calming the child, creating rapport, making the visit smoother—is immediate. The downside is zero. There’s no need to ask, “Does this kid deserve a sticker?” or “Which one should I give?” If it’s not going to harm anything and might help, the decision is already made. Deciding not to decide becomes a feature, not a flaw.
• A more clinical example: administering dextrose during a cardiac arrest when the cause is unknown. If the glucose is critically low, the intervention could be life-saving. If glucose is normal or high, the downside is minimal. You don’t need the lab result first. Acting immediately is the more rational, lower-risk move. 
• Free rolls often evolve into system-level defaults. Protocols, checklists, and standing orders are, in many cases, collections of previously individual decisions that proved so consistently right they were removed from active deliberation. Getting vital signs on arrival, undressing trauma patients, and ordering baseline labs are embedded free rolls.
• Context matters, however. What appears to be a free roll to one person may not be so to someone else. Not taking a rectal temperature before discharging a febrile child might seem obvious to a physician, but a nurse may be bound by policy to document it. The free roll must apply to the team, not just the individual. Otherwise, what one person sees as efficient, another sees as risky or non-compliant.

Applying Dominance and Cutting Through Noise

• When faced with choices, deliberating over every pro and con can waste valuable time. Dominance is the idea that one option clearly outperforms another along the most important dimension, making the decision easy once that priority is identified. You don’t need to evaluate every variable, just the one that matters most.
• Take apples. If you’re hungry and need calories, it doesn’t matter if the Granny Smith is tarter than the Red Delicious. If you’re baking, the equation flips. The context determines which feature is dominant. Once you know the goal, the decision becomes obvious, even if all the options seem superficially similar.
• In clinical terms, dominance helps cut through noise in decisions like antibiotic selection. For instance, if a drug is contraindicated in children, then that one variable—pediatric safety—dominates the decision, even if the other drug has a slightly higher cost or marginally different coverage. That single feature overrides the rest.
• Dominance is not about objective superiority but context-driven relevance. One antibiotic might be preferred for its dosing schedule in a low-resource setting. In a tertiary care center, spectrum coverage might dominate. Identifying the context’s top priority helps with decision-making.
• This principle is already built into many clinical decisions. Some antibiotics are flagged as “do not use in kids.” Certain CT protocols are excluded for pregnancy. These rules exist not because the other options are bad, but because one factor dominates and makes the choice essentially automatic.

Navigating Equipoise

• Equipoise occurs when two or more options are so similar in outcome or risk that it’s impossible—or pointless—to favor one over the other. The differences are either genuinely minimal or unknown, yet the decision still demands mental energy. This is where clinicians often waste the most time: agonizing over choices that don’t meaningfully affect the outcome.
• Fredkin’s Paradox captures this perfectly: the more equal two options are, the harder it becomes to choose between them. The mental cost goes up as the stakes go down. A classic example is choosing between two similarly effective IV fluids—saline vs. lactated Ringer’s. If neither has a clear advantage for the specific case, choosing becomes more stressful than it should be.
• These situations call for deliberate offloading. Pick based on proximity, what’s already stocked, or what the nurse suggests. The goal is to conserve cognitive energy for higher-stakes problems. Trying to think your way through equipoise decisions is a misuse of attention.
• True equipoise should trigger a systems response. If a decision repeatedly stalls clinicians with no measurable difference in outcome, it should either be protocolized or delegated to the environment. Let the EHR randomly assign one, default to whichever is stocked more, or follow the first acceptable suggestion. 
• What often feels like indecision is actually predecisional bias. People say they’re torn, but behavioral research shows they often have unconscious preferences—emotional reactions, somatic cues, or mental associations—that point to a choice before they consciously recognize it. Recognizing this bias helps break the loop and move forward with confidence. 
• If you’re stuck between two nearly equal choices, trust your gut or the system and move on. The real risk is not making the wrong choice; it’s spending too much time on a choice that doesn’t matter.

Making Big Life Decisions

• Decisions like taking a new job, shifting career direction, or pursuing a major opportunity often feel monolithic, but they’re rarely just one decision. They’re clusters of interconnected, smaller choices. Breaking them down this way helps reduce overwhelm and clarifies where actual commitment lies.
• The framing of the decision is often the real challenge. Is it a decision or an experiment? If either outcome teaches you something valuable and carries no catastrophic downside, you’re not deciding, you’re testing. Seeing big life choices as experiments lowers the psychological burden and makes forward movement more likely.
• Applying dominance in big decisions starts with values. If you don’t know what matters most to you, then no amount of pros and cons will clarify the answer. Once values are explicit, one option often clearly aligns more than the other, allowing for a clean decision rather than tortured comparison.
• Some big decisions look like equipoise on the surface but are actually imbalanced once you factor in what the decision-maker truly cares about. Without clarity, even the best choice feels dissatisfying. With clarity, even a risky move can feel obvious.
• One test borrowed from scientific thinking: ask whether the decision will yield insight no matter how it turns out. If the answer is yes, the path forward is about learning, not optimization. That shift away from fear of the wrong choice and toward curiosity can change how we approach the biggest moves in our lives.