Solutions
When nothing seems to work, why bother trying? That's learned helplessness. This lens finds solutions (technology, policy, initiatives) that demonstrably work.
What bias does this lens correct?
When nothing seems to work, why bother trying? That's learned helplessness, a concept from Seligman (1972). When news constantly shows problems without solutions, people learn that action is pointless. This lens finds evidence that technology, policy, and initiatives do work.
What does this lens find?
Articles about technology, policy, or initiatives that demonstrably work: renewable energy at scale, successful policy, innovations reaching the market. Not promises, but proven solutions.
Scoring dimensions
Each lens evaluates articles on six dimensions. Together they form the profile you see in the radar chart.
Does the technology or solution deliver on its promise?
Affordability and scalability compared to alternatives
Technology maturity, from prototype to proven at scale
Total environmental footprint across the full lifecycle
Fair distribution of benefits across communities
Potential for systemic change at policy level
How does scoring work?
Our AI analysis system evaluates each article on the dimensions above with a score from 0 to 10. The weighted average determines whether an article passes the lens. Articles below the threshold are not shown. Not because they are bad, but because they do not fit strongly enough what this lens looks for.
Limitations
These dimensions are designed criteria informed by existing research. They are not established psychometric scales. The AI model can make mistakes: missing relevant articles or letting irrelevant ones through. The scores are a selection tool, not a definitive judgment of a story's value.
Want to know more?
Read how we work for the full picture, or browse the source code on GitHub.