Evidence

Evidence is what actually happened, as distinct from what the mind modeled, predicted, or believes happened.

The system builds models constantly — the Beliefs entry, the Assumptions entry, the Certainty entry all cover different aspects of the modeling process. Evidence is what exists outside the model: the actual data, the observable outcome, the verifiable fact. The model says they don’t care about me. The evidence says: they called twice this week and rearranged their schedule to attend the event. The model and the evidence may point in different directions. When they do, the evidence is more reliable.

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The system does not prefer evidence. It prefers its models. The confirmation bias from the Mind entry means the system actively selects evidence that supports the existing model and discounts evidence that contradicts it. The organism that believes it’s failing will register every setback as confirmation and filter out every success. The data is not incomplete. The processing is selective.

To use evidence as the operator’s tool: when a strong belief is running, deliberately seek the evidence. Not the feeling. Not the model. What actually happened? What is the observable, external data? Count it. List it. Compare it against the model the mind has built. The gap between the model and the evidence — when honestly examined — often reveals that the model is running on selective data the confirmation filter chose, not on the full record.

The mind will resist this exercise. The model feels true. The evidence may say otherwise. The one at the controls decides which to weight.