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Credibility Model / Why Low Data = High Uncertainty

Why Low Data = High Uncertainty

Understanding how insufficient evidence leads to fragile beliefs that are easily changed.

What is Uncertainty?

The belief/confidence level of a human or system toward a statement, determined by the available evidence.

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High Uncertainty

When a system can't easily decide if a statement is true or false because of insufficient evidence.

Characteristics:

  • One weak evidence can weaken the statement
  • One strong evidence can strengthen it
  • Beliefs are fragile and easily changed

Low Uncertainty

When a system can decide if a statement is true or false based on sufficient evidence.

Characteristics:

  • One extra piece of evidence can't override decisions
  • Beliefs are robust and stable
  • Multiple lines of evidence support conclusions
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Friendship Analogy

Understanding uncertainty through the lens of human relationships

First Meeting (High Uncertainty)

You meet someone for the first time. You have low data about their nature.

One strong evidence (owns a company)
Strengthens their position in your mind

Your opinion is easily swayed because you lack sufficient data

Five Years Later (Low Uncertainty)

After five years of friendship, you have substantial data about their character.

You hear they stole something
Little impact on your established belief

Your opinion is stable because you have sufficient evidence

Evidence Accumulation Curve

High Uncertainty

Fragile beliefs

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Moderate Uncertainty

Balanced evidence

Low Uncertainty

Stable beliefs

As evidence accumulates, uncertainty decreases and beliefs become more stable

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High uncertainty refers to a fragile state of belief where limited data means that single pieces of evidence can dramatically shift perceptions. This is why low data inherently leads to high uncertainty.