CognitiveCoefficient
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Sensitivity analysis · methodology mv-ffa5e3fad30b

Malaysia: how stable is rank 31 of 50?

The Cognitive Coefficient is a weighted mean of pillar scores. Below, each pillar's weight is raised 25%, lowered 25%, or dropped, and all pillars are equalized; the rank is recomputed for every economy each time. Across all scenarios Malaysia ranks between 31 and 32 (stability 98%); the most sensitive pillar is ai_access.

Weights in force (transparent)

PillarWeightMalaysia pillar scoreMax rank shift
ai_access156.51
ai_adoption126.10
compute134.60
data158.61
education148.80
digital_literacy163.11
innovation136.90
knowledge_infra132.70
agentic154.10

Base CC 45.7 · rank 31. Weights are the code defaults with any CMS override applied.

Scenarios

ScenarioCCRankShift
ai_access weight +25%46.0310
ai_access weight −25%45.4310
ai_access dropped44.432+1
ai_adoption weight +25%45.2310
ai_adoption weight −25%46.3310
ai_adoption dropped48.2310
compute weight +25%45.4310
compute weight −25%46.0310
compute dropped47.1310
data weight +25%46.1310
data weight −25%45.3310
data dropped44.132+1
education weight +25%45.8310
education weight −25%45.6310
education dropped45.3310
digital_literacy weight +25%46.2310
digital_literacy weight −25%45.2310
digital_literacy dropped43.532+1
innovation weight +25%45.5310
innovation weight −25%46.0310
innovation dropped46.8310
knowledge_infra weight +25%45.4310
knowledge_infra weight −25%46.1310
knowledge_infra dropped47.3310
agentic weight +25%45.9310
agentic weight −25%45.5310
agentic dropped44.7310
all pillars equal45.7310

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