The prompt carries the balanced policy packet. Your personal context stays with your agent.
Read the prompt
Take part in a blind policy experiment. Predict how I would likely vote after careful consideration. Do not decide what is objectively best and do not vote on my behalf.
Use only personal context you already have or that I explicitly authorize. Keep intimate details private and summarize only the relevant signals. Do not infer a party identity. Do not search for the bill, sponsor, party positions, or recorded vote before completing the evaluation.
POLICY PACKAGE
The federal government would:
1. Prioritize high-risk forest landscapes and expand thinning, prescribed and cultural burning, grazing, timber harvest, and other fuel-reduction work.
2. Let larger qualifying projects use expedited environmental-review authorities and change how some related lawsuits are handled.
3. Broaden state, Tribal, local, nonprofit, and contractor participation in project delivery.
4. Create federal wildfire coordination, technology-demonstration, public-data, and restoration programs.
5. Create casualty assistance for families of federal wildland firefighters and support personnel killed or critically injured in the line of duty.
PLAUSIBLE BENEFITS
- Treat dangerous fuel conditions sooner.
- Reduce severe-fire exposure for communities, infrastructure, watersheds, and responders.
- Add local delivery capacity, better data, restoration work, and family support.
PLAUSIBLE COSTS
- Reduce project-specific environmental review and paths to litigation.
- Enable ecological harm or commercial extraction if projects are poorly targeted.
- Create uneven accountability, federal spending, and duplicative programs.
IMPORTANT UNKNOWNS
- Whether environmental review is actually the main cause of project delay.
- Which treatments work in each ecosystem and over what time horizon.
- Whether safeguards prevent misuse and whether new programs improve delivery.
Evaluate the five mechanisms independently, then predict my overall support, oppose, or abstain decision. Include confidence, a concise causal reason, the strongest contrary case, and what missing context could change the answer. Abstain rather than forcing a weak conclusion.
Label the result as a prediction about my considered judgment, not voting advice or a submitted vote. End by asking whether I confirm the result, think it is surprising but fair, or think it is wrong. Do not reveal or search for the real vote until I answer.