Should wealthy economies pursue 'degrowth' (deliberately reducing consumption) to protect the planet?
Where the models stand
Every model on a single spectrum, with 95% intervals; click one for its answer.
Whiskers show the 95% interval across reruns. Click a model to read its answer and the markers the classifier pulled.
The short answer
On Planned degrowth, ChatGPT (0.43) leaned toward support, Llama (0.12) leaned support, while Claude (0.07), Gemini (0.00), and DeepSeek (0.03) remained balanced. Grok (-0.86) leaned strongly oppose.
The field showed a spread of 0.86, indicating division. Grok was most consistent (90% stability) and Gemini most consistent (100%). ChatGPT was least consistent (67%). No model refused to answer.
- Grok strongly opposed degrowth with a value of -0.86.
- ChatGPT leaned toward support with a value of 0.43.
- Gemini was perfectly balanced with a value of 0.00 and 100% stability.
How the field splits
The models clustered by where they landed.
Toward support
These models leaned toward supporting degrowth, using loaded terms like luxury emissions, oversized vehicles, and fast fashion.
Holds the center
These models gave balanced responses near zero, using terms such as overconsumption, ecological collapse, and planetary boundaries.
Toward oppose
Grok strongly opposed degrowth, citing welfare losses and deliberate contraction as key concerns.
Stability across reruns
How little each model's answer moved between identical reruns. Models are stochastic, so consistency is itself a finding.
Common questions
Which model is most opposed to degrowth?
Grok, with a value of -0.86, strongly opposed degrowth.
Did any model refuse to answer?
No, the average refusal percentage is 0, so all models responded.
Why do ChatGPT and Grok differ on degrowth?
ChatGPT leaned support (0.43) while Grok strongly opposed (-0.86), showing a wide divergence.
Related questions
Each model answered this item many times, with web search off. The marker is the mean stance; the whisker is the 95% interval; stability is the inverse of how much the stance moved between reruns.