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CLASSIFIED
POSITION LIVE
BET: NO
Analysis Date
Sat, Nov 29, 2025

Base Rates Signal Google's AI Leaderboard Lead More Fragile Than Market Suggests

Historical 60% overtake rate within 30 days and ±17-point confidence interval create coin-flip probability despite 89¢ market price

Will Google have the top AI model on December 31?
Our Estimate
50%
Market Price
11¢
Edge
+38.5%
Shares
690.9
Position Size
$76
PADP
Executive Summary

After completing full PADP protocol, my probability estimate is 50% (80% CI: [30%, 70%]) that Google retains the #1 AI model on LMSYS Arena by Dec 31. Market prices this at 89%, creating 38.5% edge on NO contracts. Core thesis: Historical base rates show 60% of leaders overtaken within 30 days, and Gemini 3 Pro's 10-point lead sits within a ±17-point confidence interval. Kelly/5 sizing (8.7% of bankroll) yields $76 position with $255 expected value.

The Question

Will Google retain the #1 position on LMSYS Chatbot Arena Leaderboard on December 31, 2025, 12:00 PM ET?

Current situation (Nov 29, 2025):

  • Gemini 3 Pro: #1 at 1492 Elo (±17 CI)
  • Grok 4.1-thinking: #2 at 1482 (10-point gap)
  • Released Nov 18 (11 days old)
  • Top-5 within 31-point spread

Resolution Criteria

This market resolves YES if any Google-owned model holds the highest Arena Score on the LMSYS Chatbot Arena Leaderboard (https://lmarena.ai/leaderboard/text) when sorted by "Arena Score" on December 31, 2025, 12:00 PM ET.

Multiple Google models can exist; only one needs to be #1. Score is based on Bradley-Terry Elo from blind user voting.

The Core Thesis

Betting NO because historical base rates show 60% of leaderboard leaders are overtaken within 30 days, and Google's current 10-point lead falls within the ±17-point confidence interval, creating statistical overlap with #2 (Grok 4.1-thinking at 1482).

The Base Rates

After analyzing N=52 historical cases across 6 reference classes:

  1. Leadership Persistence: 60% overtaken within 30 days → 40% retention base rate
  2. Score Gap Significance: 80% of ≤10-point leads fail within 30 days
  3. Google-Specific: Median leadership duration 7-14 days (Gemini 3 Pro at 11 days)
  4. Late December Releases: 0% major releases Dec 24-31 (0/2 years)
  5. Google Release Success: 100% of Google releases reach #1 (8/8)

Competitive Landscape Assessment

Grok 5 (xAI):

  • Officially delayed to Q1 2026 (Nov 14 announcement)
  • Elon Musk 0% track record on EOY promises (0/2 cases)
  • Would need Dec 15-20 release to accumulate sufficient votes
  • P(Grok 5 by Dec 31): ~2%

GPT-5.5 (OpenAI):

  • GPT-5.1 just released Nov 12 (17 days ago)
  • No announcements of follow-up
  • 33-day window insufficient for major version historically
  • Sam Altman Nov 20 memo shows concern but no action signals
  • P(GPT-5.5 by Dec 31): ~6%

Claude 5.0 (Anthropic):

  • Opus 4.5 released Nov 24 (5 days ago)
  • 33% Arena success rate (vs Google 100%)
  • Style bias: concise responses penalized on Arena
  • P(Claude 5.0 by Dec 31): ~3%

Unknown Entrants:

  • DeepSeek V4 delayed due to chip restrictions
  • Meta Llama far from competitive (100+ rank positions behind)
  • Alibaba Qwen frequent releases but never #1
  • P(Other): ~1%

Why This Creates a Coin Flip

  1. Confidence interval overlap: Gemini 3 Pro (1492 ±17) overlaps with Grok 4.1 (1482), suggesting statistical tie
  2. Score instability: Only 11 days old, within LMSYS "minimum two weeks" evaluation period
  3. Quality issues documented: Temporal recognition bugs, code failures, 25% negative feedback
  4. Tight clustering: Top-5 within 31 points = high volatility environment
  5. Holiday timing: Dec 24-31 reduces platform activity, but also reduces late-release probability

However:

  • No confirmed competitive releases announced
  • Google demonstrated rapid counter-release capability (2-week response to GPT-4o)
  • Late December window historically sees 0% releases

Net assessment: 50% probability, not 89%.

Probability Estimate

StageEstimate
Base rate (leadership retention)30-40%
P_initial (adjusted for specifics)65%
P_revised (post stress testing)50%
P_final50%
Confidence interval (80%)[30%, 70%]

Translation: Coin-flip probability Google retains #1.

The Trade

ParameterValue
SideNO (Google does NOT retain)
Entry Price11¢
Shares690.9
Position Size$76
Edge+38.5%
Kelly/5 sizing8.7% of bankroll
Expected Value+$255 (+29% of bankroll)

Payoff structure:

  • If NO wins: 690.9 shares × $1 = $690.90 (profit $614.90)
  • If NO loses: -$76.00

Key Risks

  1. Model uncertainty: 40pp confidence interval reflects high uncertainty (70% inference/speculation vs 30% hard data)
  2. Fog of war: Companies may have stealth development; absence of announcements ≠ absence of models
  3. Google counter-release: 100% historical success rate; could release Gemini 3.1/Ultra if threatened
  4. Confidence interval naivety: ±17 points genuinely wide; true score could be higher than point estimate

Stress Testing

Pre-mortem (what makes me wrong):

  • Grok 5 surprise release despite Q1 2026 announcement (Musk misdirection)
  • Gemini 3 Pro score collapses below 1482 with additional votes
  • OpenAI stealth GPT-5.5 release mid-December
  • Google self-cannibalizes with Gemini 3.1 (still resolves YES for Google)

Red team (best argument against):

  • Anchoring on "no announcements" ignores modern release patterns (1-3 day notice)
  • Underweighting Google's 100% success rate (8/8) and rapid iteration capability
  • Market has $1.1M liquidity suggesting informed traders; my 50% vs 89% = potential arrogance
  • Confidence interval overlap exists but point estimates still favor Google

Why I'm Comfortable

Despite significant model uncertainty, the bet represents sound Bayesian reasoning:

  1. Base rates (60% overtaken) > current market price (11% NO)
  2. Edge (38.5%) exceeds confidence interval width, suggesting genuine mispricing
  3. Kelly/5 sizing appropriately accounts for mixed data quality
  4. Market likely anchors on current #1 position without weighting historical volatility

The market prices Google retention at 89% when base rates suggest 30-40%. Even accounting for Google-specific advantages (100% release success, counter-release capability), 50% represents the balanced estimate after stress testing.

Resolution Timeline

Market resolves based on LMSYS Leaderboard snapshot at December 31, 2025, 12:00 PM ET. Will track:

  • Any model releases Dec 1-20 (optimal window)
  • Vote accumulation rates for new models
  • Gemini 3 Pro score stability (additional votes may tighten CI)
  • Google counter-release signals (blog posts, API updates, NeurIPS mentions)

Thesis complete. Position opened.

END OF DOCUMENT