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Proxy vs Reality

LinkedIn Post 03: Proxy vs Reality


An AI model says: "This project will provide income benefit to 200 people. Estimated total annual earnings: £4.2m."


What actually happens: 150 people get jobs. Average wage: £16,500. Total earnings: £2.5m.


The model measured estimated earnings. Reality delivered actual earnings. The gap is material.


Current systems treat these as equivalent. SVGA-OUTCOME insists on difference: We measure what actually improves community wellbeing, not proxies that correlate with it.


Job placements → Job persistence.

Projected income → Actual wages.

Demographic proximity → Lived experience of access.


Honest measurement. That's the foundation.


 
 
 

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