What does the confidence "high, medium, low" in the report mean?
What does the confidence "high, medium, low" in the report mean?
Confidence does not mean good or bad, but the density, repeatability and stability of the evidence behind this conclusion.
Confidence measures the strength of evidence, not the volume of fate
When many users see marks such as high, medium, and low, they will intuitively understand them as "is this matter serious or not" or "is it accurate or not." A more accurate understanding is: confidence measures how many layers of structures behind this conclusion repeatedly support it, and whether the evidence is concentrated, stable, and reviewable.
It evaluates the basis of judgment, not assigns a score to life events.
High confidence is common in multi-layer structures that jointly point to the same topic.
When the same main line is repeatedly illuminated by the Big Three, life rulers, palace centers of gravity, key aspects, and even time layers, it is usually easier to obtain high confidence for this conclusion. Because it is not a single point of inspiration, but the overlap of multiple layers of evidence.
The core of high confidence is not to speak louder, but to speak more firmly.
Low confidence does not mean worthless, it is more like the observation direction
Some conclusions are not thick enough in evidence, but are still worth retaining because they may be secondary clues that are taking shape, or that will only be activated in specific scenarios. If this type of content is marked with low confidence, it does not mean that it is invalid, but it reminds users: observe here first, and do not rush to make a conclusion.
A good product doesn’t say it all.
People who really know how to use confidence will learn to read boundaries
When users begin to understand confidence, they will naturally learn to distinguish between "this is my main line", "this is the direction I need to continue to observe" and "this is a reminder that the current evidence is not thick enough". This sense of boundary is very important because it will directly affect how users bring the report back to real-life decision-making.
People who can read boundaries make better use of reports than people who just want absolute answers.
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