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Self-Consistency

Robust answers through multiple perspectives

Self-Consistency improves the reliability of AI responses by generating multiple solution paths for the same question and selecting the most consistent answer.

The Principle

Instead of relying on a single answer, the AI generates multiple independent responses and selects the most frequent or plausible one. This reduces errors and increases accuracy.

Basic Application

Mathematical Problems

Answer this problem in three different ways:
"When I was 6, my sister was half my age.
Now I'm 70. How old is my sister?"

Solution path 1:
- At 6 years old, I was 6, my sister was 3
- Age difference: 6 - 3 = 3 years
- Today: 70 - 3 = 67 years

Solution path 2:
- Sister was half my age: 6 ÷ 2 = 3
- That was 70 - 6 = 64 years ago
- Sister today: 3 + 64 = 67 years

Solution path 3:
- Age difference remains constant
- Then: Me 6, her 3 → Difference 3
- Today: Me 70, her 70 - 3 = 67

Consistent answer: 67 years

Business Decisions

Analyze this investment from three perspectives:
"Should we invest €100,000 in new production equipment?"

Financial perspective:
- Positive ROI in 3 years
- Improved margins
→ Recommendation: Yes

Operational perspective:
- Increased efficiency
- Reduced error rate
→ Recommendation: Yes

Risk perspective:
- Technology could become obsolete
- High initial investment
→ Recommendation: Cautiously yes

Overall recommendation: Yes, but with risk plan

Advanced Techniques

Weighted Consistency

Evaluate this marketing campaign with different criteria
(Weighting in parentheses):

1. Creativity (20%)
2. Target audience relevance (40%)
3. Budget efficiency (25%)
4. Measurability (15%)

Conduct three independent evaluations and
determine the weighted average.

Expert Simulation

Three experts evaluate our new product:

Expert 1 (Technical):
"Innovative solution, but complex in application"
Rating: 7/10

Expert 2 (Sales):
"Hard to sell, but high added value"
Rating: 6/10

Expert 3 (Customer):
"Solves my problem perfectly, price justified"
Rating: 8/10

Consensus: Solid product with potential (7/10)

Temporal Consistency

Analyze this trend at three different points in time:

6 months ago:
"Remote work is temporary"

3 months ago:
"Hybrid models are establishing"

Today:
"Flexible work models are standard"

Consistent trend: Increasing acceptance of flexible work models

Practical Use Cases

Quality Assurance

Check this text for errors with three passes:

1. Spelling and grammar
2. Content accuracy
3. Style and readability

Only errors found in multiple passes
are likely real problems.

Project Estimates

Estimate the effort for this project:

Optimistic estimate: 3 months
Realistic estimate: 5 months
Pessimistic estimate: 8 months

Weighted average: 5.3 months

Risk Assessment

Evaluate this risk from three angles:

1. Probability of occurrence
2. Potential impact
3. Avoidability

Only if all three ratings are high,
immediate action is required.

Implementation in Practice

Template for Self-Consistency

Task: [Your question/problem]

Approach 1: [First method]
Result: [Answer 1]

Approach 2: [Second method]
Result: [Answer 2]

Approach 3: [Third method]
Result: [Answer 3]

Analysis of agreements:
- Common elements: [What's the same]
- Differences: [Where they differ]

Final answer: [Most consistent solution]

Automated Consistency Check

"Answer this question three times independently:
[Your question]

Then compare the answers and only output
points that appear in all three answers."

Best Practices

Shuffle

Independence

Ensure each answer is generated independently

GitBranch

Different Approaches

Use different methods or perspectives

CheckSquare

Clear Criteria

Define what "consistency" means in your context

Avoiding Pitfalls

Common mistakes:

  • Using too similar approaches
  • Only counting majority (quality over quantity)
  • Ignoring important minority opinions
  • No justification for final choice

Combinations with Other Techniques

Self-Consistency + CoT

"Solve this problem with three different
step-by-step approaches. Choose the solution
that appears most logical."

Self-Consistency + Few-Shot

"Here are examples of three different solution approaches:
[Examples]

Apply all three to this new task:
[Your task]"

When to Use Self-Consistency

Ideal for:

  • Critical decisions
  • Mathematical or logical problems
  • Quality assurance
  • When high accuracy is important

Less suitable for:

  • Creative tasks (diversity desired)
  • Time-critical requests
  • Subjective opinions
  • Simple factual questions

Practical Exercises

  1. Financial Analysis: Evaluate an investment from three perspectives
  2. Debugging: Find an error using three different approaches
  3. Strategy Planning: Develop three scenarios and find commonalities

Pro Tip: Always use Self-Consistency for important decisions - the extra time is worth it!

Next Step: Explore Tree of Thoughts for even more complex decision processes.