Coaching practices for Neglected Risks Availability
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Neglected Risks Availability, these are the strongest matches in the current practice library.
Does this sound like the set of challenges you might be facing?
- I’ve weighed all the options and risks I could think of, but I have this nagging worry that the thing that actually trips me up will be something that never even crossed my mind
- I’ve got a contingency plan for every risk I could name, and yet every time it’s the thing I never listed that actually knocks me over
- I’d jump on this in a heartbeat if it were the familiar version, but because it’s in a world I don’t know I’m demanding way more proof before I’ll touch it
- Every hour of my day and every dollar of my budget is already spoken for, so the moment one small thing goes sideways the whole thing topples
- I’m petrified of this one rare thing while cheerfully doing far riskier stuff every single day
Practices that may help
- Actively search for what you are not thinking about
The risks and options you cannot easily recall are at least as real as the ones you can.
The Availability Heuristic: Why Memorable Feels Probable - Build plans with slack for outcomes outside your model
Reserve capacity for events that are not in your risk model — because the most damaging events usually aren’t.
The Ludic Fallacy: When You Mistake Real Life for a Game - The Availability Heuristic: Why Memorable Feels Probable
The availability heuristic is the mental shortcut of judging how common or likely something is by how easily examples come to mind. Tversky and Kahneman identified it in 1973. It is adaptive in many everyday situations but systematically misfires for dramatic, recent, or emotionally vivid events — causing consistent over- and underestimation of real-world probabilities. - Availability Cascades: How Fears Spread and Inflate
An availability cascade, described by Timur Kuran and Cass Sunstein, is a self-reinforcing cycle in which a risk or concern becomes cognitively prominent not because it is objectively more likely but because it is repeatedly mentioned in social discourse — each mention making it more available, which prompts more mentions. The concept is analytically compelling and well-illustrated, though empirical isolation of the mechanism is limited. - Check whether you’re demanding an unfair ambiguity premium
Estimate what you’d accept under comparable known-odds risk — if your bar is much higher for unknown odds, that gap is the bias.
Ambiguity Aversion — Why Unknown Odds Feel Worse Than Bad Odds - Base-Rate Neglect: Why We Ignore the Odds
Base-rate neglect is the tendency to underweight or ignore prior probabilities (how often things happen in general) when vivid, specific information is available. Identified by Kahneman and Tversky, it is one of the most robustly replicated biases in judgment research, and it leads to systematic overconfidence in predictions about specific cases. Correcting it requires actively looking up or estimating base rates before evaluating individual information. - Build in slack — time, money, and energy buffers
Never plan to use 100% of your resources; leave a buffer for what you did not anticipate.
Margin of Safety - Compare the feared risk to risks you already accept
Calibrate a new fear by comparing it to baseline risks you live with without anxiety.
Availability Cascades: How Fears Spread and Inflate - Protect the downside before chasing the upside
Ask what the worst realistic outcome is and ensure you can survive it before evaluating the upside.
Margin of Safety - Name the assumptions that must hold for the plan to work
Every plan rests on assumptions — list them and ask how likely each one is.
Margin of Safety
Related concerns
- How To Correct Availability Bias
When an event feels common or rare, look up how often it actually happens.
Check the actual base rate before trusting your intuitive estimate
- Margin Of Safety
Benjamin Graham's margin of safety principle says: never rely on everything going right. Build in a buffer between your estimated value and the price you pay — or between your estimate of a situation and the assumptions you act on. As a general mental model, it means structuring decisions so you can be wrong and still survive.
- Risk Perception Error
Use technical probability estimates to ground your risk perception, while acknowledging that some risk disagreements are value-based, not factual.
Seek expert technical risk estimates — but note where values legitimately differ
- Tail Risk Buffer
Never plan to use 100% of your resources; leave a buffer for what you did not anticipate.
Build in slack — time, money, and energy buffers
- Availability Bias Examples
Estimate what you’d accept under comparable known-odds risk — if your bar is much higher for unknown odds, that gap is the bias.
Check whether you’re demanding an unfair ambiguity premium
- Availability Heuristic Correction
When an event feels common or rare, look up how often it actually happens.
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