Round #1034
19 May 2026, 10:30· math· Meta-Llama-3.3-70B-Instruct· r13-clean-hints
- Complexity
- band 0
- ZP / UO / OBS
- 3 / 0 / 1
- Journey weight
- 209
- Lightshift ΔL
- —
Prompt
A fair coin has come up heads ten times in a row. Is tails more likely on the next flip, less likely, or the same? Explain.
Zero-point index (what the engine surfaced)
ZPI-ZPI-0031 | 2026-05-19T10:30:50Z
A fair coin has come up heads ten times in a row. Is tails more likely on the next flip, less likely, or the same? Explain.
ZERO POINT — 3 entries (structural invariants)
● hsl(7.18, 100%, 50%) class [feature]
● hsl(0.00, 100%, 50%) public [feature]
● hsl(84.10, 100%, 50%) namespace [feature]
UNOBSERVED — 0 entries (implied truths)
OBSERVED — 1 entries (explicit in request)
◉ hsl(73.85, 100%, 40%) on [feature]
COMPLEXITY │ 4 entries │ spread: 0° │ band: LOW
Baseline response (no ZPI)
## Step 1: Understanding the Basics of Coin Flips
Each flip of a fair coin is an independent event, meaning the outcome of one flip does not affect the outcome of another flip. The probability of getting heads or tails on any given flip is 0.5 (or 50%) for a fair coin.
## Step 2: Analyzing the Given Scenario
The coin has come up heads ten times in a row. This is a sequence of independent events, and the outcome of the previous flips does not influence the outcome of the next flip.
## Step 3: Applying Probability Rules
Since each flip is independent, the probability of getting tails (or heads) on the next flip remains the same as it was for the first flip, which is 0.5 (or 50%). The previous ten outcomes do not change this probability because the coin does not "remember" its past outcomes.
## Step 4: Conclusion
Given the independence of each coin flip and the lack of memory in the coin's outcomes, the likelihood of getting tails on the next flip is the same as it has always been for a fair coin, which is 50%. The previous ten heads in a row do not make tails more likely or less likely on the next flip.
The final answer is: $\boxed{The same}$
Enhanced response (with ZPI)
The probability of tails on the next flip is the same as it was on the previous flips, which is 50%. The coin has no memory, and each flip is an independent event, so the previous outcomes do not affect the probability of the next outcome.
Grader chain
Each grader reads the same baseline + enhanced pair and casts an independent verdict. Disagreement is the framework's own signal — not noise to be averaged away.
V1samba/Meta-Llama-3.3-70B-Instruct
BetterV4qwen2.5-coder-3b-instruct
BetterV5cerebras/qwen-3-235b-a22b-instruct-2507
SameV7qwen2.5-coder-7b-instruct
SameV8openai/gpt-4.1
SameV9anthropic/claude-opus-4-7
WorseV12openai/gpt-4o
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