Debate Quality
Debate Quality measures reasoning — a debater can lose while arguing well.
Debate ID
Do universal basic income pilots produce sustainable long-term benefits?
Context
Most arguments compare poverty reduction data with inflation and labor participation concerns.
Debate Completion (v1)
CompletedTheDebator rewards finishing debates, honest concessions, and intellectual accountability.
Reliability
90/100
Completion Rate
100%
Completed · Reliability 90/100
Debate Outcome (v1)
Mutual AgreementTheDebator is not designed to create champions. It is designed to create stronger thinkers. Victory is secondary to intellectual honesty, reasoning quality, burden fulfillment, question accountability, and steelmanning.
Debate Quality
Debate Quality measures reasoning — a debater can lose while arguing well.
Debate Completion
Debate Completion measures follow-through — separate from who won.
Debate Outcome
Mutual Agreement — Resolved
Mutual Resolution
Both users indicated agreement — debate resolved.
TheDebator rewards intellectual rigor more than victory. Winning is an outcome. Reputation is a behavior. The two should never be merged.
AI Judge (preview)
Mutual AgreementHigh confidenceAI-assisted mock judgment.AI Judge preview — final judgment available after resolution.
AI Judge evaluates debate performance, not personal worth.
TheDebator should reward users for staying focused on the actual debate, not for pivoting, dodging, or changing the subject.
Topic adherence summary
@morgan_econ maintained the tightest focus on “Do universal basic income pilots produce sustainable long-term benefits?”. Both sides remained reasonably anchored to the central disagreement. Flags: Stayed On Topic.
Debate topic adherence score: 85/100
AI Judge Scorecard
Composite 60/100
Topic Adherence
85/ 100Weight 25%
Argument Quality
85/ 100Weight 18%
Evidence Integrity
51/ 100Weight 18%
Question Accountability
0/ 100Weight 14%
Burden of Proof
50/ 100Weight 14%
Steelmanning
50/ 100Weight 6%
Civility / Good Faith
80/ 100Weight 5%
Weighted: Topic 25% · Argument 18% · Evidence Integrity 18% · Questions 14.000000000000002% · Burden 14.000000000000002% · Steelman 6% · Civility 5%
Evidence Analysis (v2)
Evidence should support the specific claim under debate — classification, relevance, and source credibility are scored separately from argument style.
Debate evidence integrity: 52/100
Evidence Review
0/100No evidence artifacts were classified — claims rely on assertion until sources are submitted.
Source Review
Sources are bucketed by type (primary, academic, news, anecdotal, etc.) to separate provenance from rhetorical quality.
Credibility Review
0/100Average source credibility 0/100 — weighted by publisher tier, citation signals, community votes, and recency.
Evidence Gap Review
Gaps highlight missing premise-linked sources, weak credibility, and unsupported strong claims.
Per-debater evidence
@morgan_econ
Integrity 52/100Evidence gaps
Per-debater topic adherence
@morgan_econ
Topic 85/100No additional topic notes.
Performance analysis (not a simple win call)
AI-assisted mock judgment. @morgan_econ maintained the tightest focus on “Do universal basic income pilots produce sustainable long-term benefits?”. Both sides remained reasonably anchored to the central disagreement. Flags: Stayed On Topic. @morgan_econ topic adherence scored 85/100 against the premise. Outcome label: Mutual Agreement — see narrative below, not a declaration of absolute truth.
Strongest arguments
Weakest arguments
Evidence gaps
Burden of proof
Burden partially met — outstanding support requested.
AI Judge may be wrong. Users should inspect the reasoning.
Share Debate
Do universal basic income pilots produce sustainable long-term benefits?
96 participants · Direct URL below
/debate/TD-4L9C3D
Morgan L.
Pilot programs show promise but should remain targeted until stronger fiscal sustainability evidence emerges.
Respond with structured reasoning — Support, Counterpoint, Question, or Takeaway.
Intellectual outcomes logged across this debate — learning, understanding, common ground, and open questions.
Total Takeaways: 27
Top Takeaways
Analytics Preview (Mock)
Total Takeaways
27
Learning Events
22
Understanding Events
0
Common Ground Events
0
Mind Changes
0
Evidence Requests
0
Answer rate
0%
Questions asked
0
Avoided
0
Draft responses are evaluated for relevance, criteria definition, and evidence alignment. Press Ctrl/Cmd+Enter to post.
Select Support or Counterpoint to unlock structured response options.
Attachments
Images (5 MB), PDF (10 MB), audio (25 MB), video (100 MB).
1 response — live from Firestore.
Morgan L.
TD: 75
AQ: 70
Initial Stance
Pilot programs show promise but should remain targeted until stronger fiscal sustainability evidence emerges.
Evidence Type: No Evidence
Timestamp: 1d ago
0 Supports
0 Counterpoints
0 Evidence
0 OutcomesClaim Resolution Framework v2 — Argument Evaluation
Argument Quality and Claim Truth Status are evaluated independently.
Argument Quality ≠ Claim Truth
TheDebator rewards Reasoning quality. It does not automatic agreement with ai.
Argument Quality (Independent)
72/100
Measures how well the debater argues — not whether the claim is true or popular.
Claim Truth Status (Independent)
Subjective ClaimPending claim truth resolution.
Subjective Claim — No Winner Declared
Subjective claim — AI does not pick a winner.
Placeholder.
Standards
50
Reasoning
50
Evidence
50
Consistency
50
Burden of Proof (v1)
Burden assigned: Moderate. Burden met (81/100).
Burden Met
81/100
Flags
Burden Avoided: No
Burden Shifted: No
Steelman Framework (v1)
Steelman 70/100 · ModerateSteelman Score: 70/100 — Partial steelman; room to engage strongest view.
70/100
Detailed Argument Analysis
Reasoning Strength
Moderate70/100
Claim → Reasoning → Evidence → Conclusion· Chain incomplete
Placeholder reasoning evaluation.
AI Summary
Mock evaluation for Initial Stance — assesses reasoning quality, not whether the opinion is correct.
Topic Discipline
75/100
Legacy Quality Score
70/100
Topic Discipline
75/100
Reasoning Quality
70/100
Evidence Quality
68/100
Evidence Relevance
72/100
Counterpoint Engagement
65/100
Nuance & Context
68/100
Scope Accuracy
72/100
Placeholder — Argument Evaluation Framework will score this when connected.
Suggested Improvement
Define your standard, support with relevant evidence, and engage the strongest counterpoint.
Isolate one branch to read only that reasoning path.
Focused Path
Initial Stance → Mixed Paths