How it works

Explanations shape
what happens next.

Explanatory style is the pattern of explanations a person tends to reach for after something happens — a rejection, a success, a missed opportunity, a good outcome. Two people can face the same event and walk into different futures depending on the story they attach to it.

The three dimensions

Permanence

Is this temporary or is this how things always go? Turning a moment into a forecast can quietly close doors that are still open.

Pervasiveness

Does this belong to one area of life, or is it a verdict on everything? A single setback rarely explains the whole picture.

Personalization

Was this entirely about me, or did context, timing, other people, and factors outside my control also contribute? Both extremes distort.

Adversity and success score in opposite directions

For setbacks, more adaptive explanations are usually specific, temporary, and shared with context — a lower score. For positive outcomes, more adaptive explanations recognize the parts of you and your effort that can be repeated — a higher score.

Accurate reframing, not toxic positivity

Reframing is not pretending the setback did not happen. It is refusing to inflate it into a permanent, pervasive, or identity-defining conclusion when the evidence does not support that.

Resilience is not pretending nothing went wrong. It is explaining what went wrong in a way that still leaves room for learning and action.

Why AI amplifies the explanation you bring

A language model responds to the frame you give it. Ask "why does nothing I try work?" and it may generate reasons for a claim that has not been examined. Ask "what specific factors — timing, audience, offer, fit — may explain this result?" and it can help you think, not just agree.

AI did not create the explanation. It received the explanation inside the prompt.