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E = k·S·D·Λ·C

Does the Formula Work?

This site tests E = k·S·D·Λ·C on itself. Zero paid promotion. Pure organic discovery. The data below proves or disproves the formula.

E = k·S·D·Λ·C

Efficiency = k × Semantic Density × Dimensionality × Lambda × Compression

Methodology

The website you're reading is designed to demonstrate the efficiency formula:

  • S (Semantic Density): Rich, meaningful content that Google indexes well
  • D (Dimensionality): Clear information architecture users navigate easily
  • Λ (Lambda): Sub-second load times, excellent Core Web Vitals
  • C (Compression): Minimal bundle, maximum content per kilobyte

If the formula is correct, high values in S, D, Λ, and C should produce high E — observable as organic traffic growth, engagement, and discoverability.

Rules:

  • $0 spent on advertising or promotion
  • No purchased backlinks
  • No artificial traffic inflation
  • GA4 as the independent validator

Current Metrics

SSemantic Density
Organic Traffic
>60%
Pages/Session
>2.5
Returning Visitors
>20%
Avg Session Duration
>2 min
DDimensionality
Bounce Rate
<40%
Internal Link CTR
>30%
Max Clicks to Any Page
≤33
Pages Indexed
100%
ΛLambda (Speed)
LCP
<1.5s
FID
<100ms
CLS
<0.1
Lighthouse Score
95+
CCompression
First Load JS
<50KB
Total First Load
<100KB
Cache Hit Rate
>90%
Bandwidth/Session
<1MB

Last updated: Launch pending — metrics will populate after deployment

The Prediction

If E = k·S·D·Λ·C is valid:

  • Organic search traffic should grow steadily without paid promotion
  • Users should navigate naturally through the site (low bounce, high pages/session)
  • Core Web Vitals should exceed thresholds
  • Bundle sizes should remain minimal while content remains rich

If E = k·S·D·Λ·C is invalid:

  • Traffic won't materialize despite high S, D, Λ, C values
  • Or the metrics will show the site doesn't actually have high values
  • Either way, the data will reveal the truth

Transparency Commitment

This page will be updated with real GA4 data once the site is live. No cherry-picking. No favorable time windows. Just raw data showing whether the formula predicts real-world outcomes.

If the metrics fail to meet targets, that's valuable information too. Science advances through both confirmation and falsification. This site is a bet that the formula is correct — and you can watch that bet play out in real time.

Contribute Your Own Data

Test the formula in your domain and submit your verification.

Submit Verification