Policy Decoder Machine — v2.1

Decode the Gap Between
Policy Promise & Structural Reality

Paste any political speech, campaign promise, council report, or budget document. The decoder scores performativity, maps logical fallacies, and now benchmarks governance patterns against LTE lifetime efficiency data from Vancouver, Copenhagen, and Singapore.

Source Weighting Schema v1.0 · LTE/LEI Index v3 · T1–T5 Authority Tiers
0 / 800 words
01
Verdict
02
Perf. Index
03
Impact Gap
04
Fallacies
05
Winners
06
Influence
07
LTE Index
STEP 01 Overall Verdict
Step 1 of 7
STEP 02 Performativity Index
-100 -50 0 +50 +100
Performativity Score
Pure Theatre (−100)
Mixed (0)
Structural Change (+100)
Step 2 of 7
STEP 03 Narrative–Impact Gap
Step 3 of 7
STEP 04 Logical Fallacies & Cognitive Biases
Step 4 of 7
STEP 05 Who Wins · Who Loses
Step 5 of 7
STEP 06 Influence Distortion Probability
Step 6 of 7
STEP 07 LTE Lifetime Efficiency Index — Jurisdiction Comparator
The Lifetime Time Efficiency (LTE) Index measures what fraction of a person's waking lifetime is consumed obtaining basic necessities — housing, transit, food, healthcare, childcare. Lower score = more lifetime returned to residents. This policy is scored against three benchmark jurisdictions that represent different governance models and LTE outcomes.
Policy LTE
Projection
Governance Pattern Match
Source Authority Applied — T1 / T2 Weighted Datasets
T1WHO Global Health Observatory — Healthy Life Expectancy (HALE)×1.45
T1UITP Global Mobility Report — Modal Share / Commute Hours×1.45
T1OECD Affordable Housing Database — Cost-to-Income Ratio×1.45
T1UN-Habitat City Prosperity Index — Public Space per Capita×1.45
T2Open Budget Survey — Budget Transparency Score×1.00
T2Social Progress Index — Basic Needs Delivery Rate×0.95
T5OAG / PBO — Auditor General Override (if applicable)×1.30
Step 7 of 7
Methodology & Data Sources (for the curious)
Source Weighting Schema v1.0 — Analysis uses a five-tier authority hierarchy prioritising output-measured third-party data (T1 weight ×1.20–1.45) over self-reported or narrative-framed sources (T4 weight ×0.65–0.90). LTE-normalizable datasets receive an additional ×1.25 multiplier. Auditor General findings trigger a hard Performativity cap of +20. Narrative-bias discount applied to all self-reported government data. Full schema: source-weighting-schema.json