Show how certain each scientific finding is, using one shared scale, when the government cites science to justify a policy
Steps to make it happen
- When a national or local government says "science tells us this," it adds a level that shows how certain the finding is.
- The levels are set in advance, from "almost certain" to "not yet well understood.".
- Governments also explain why a finding has its level, including how many studies were checked and whether experts agree.
- Governments write the known facts and the decision about what to do about them as two separate things.
- If a few experts hold a different view, governments write that down too, without hiding it.
- When new research changes how certain a finding is, governments record and show how it changed from before.
- The words for the levels are the same around the world and can be translated into many languages.
- Society comes to see a change in science not as a lie but as learning again.
Water so far 💧 0
The proposal in detail
This proposal covers cases where a government or public agency presents scientific findings as the basis for a policy. The focus is on things like infectious disease control, the safety of food and medicine, environmental pollution, climate, and disaster forecasts. Private news reports and statements by individuals are not covered. The side making the announcement shows how certain each finding is, using a shared scale. For example, it would have about five levels, such as "almost certain," "likely," "can't say either way," "unlikely," and "not enough evidence to judge." The level is set not by the government office making the announcement but by an independent scientific advisory body, which briefly adds the reasons: the amount and quality of the research behind the finding, and how far experts agree. At the same time, the part about the facts science shows is clearly separated in the text from the part about value judgments and policy choices, meaning what to prioritize based on those facts. When there is a strong disagreement among experts, its existence and a summary of its content are written down. When new evidence changes a level, the earlier label and the reason for the change are kept as a record that anyone can see. In an emergency, when there is no time to review, an announcement may be made with a "provisional" mark, and it must be replaced with a formal evaluation within a set period. The words and definitions for the levels are put together as a common guide by international scientific assessment bodies and similar groups, and the translations in each language are also made consistent.
BenefitsTrust is easier to keep even when science changes
If the level of certainty is shown from the start, then when advice is corrected later, people can more easily take it as a change within the expected range. When a finding honestly labeled "not yet well understood" is updated, it is more likely to be understood as learning again, not as a lie, and trust in science does not collapse after a single correction. Also, writing facts and value judgments separately makes it clear where the experts' area ends and where the area for citizens and politics to decide begins, and it makes the accountability of the people who decided the policy clear too. For readers, it becomes a way to tell solid findings from uncertain ones and to decide their own actions and opinions. When a minority view is recorded, people on the opposing side are more likely to feel they were not ignored, and it becomes easier to share a base for discussion. If the same words are used worldwide, comparing and cooperating across borders becomes easier, and confusion from countries explaining things differently can be reduced.
DrawbacksUncertainty can become an excuse to delay action
The heaviest concern from those who oppose the idea is that a label saying "not certain" could be used by people who want to put off action. In science, complete certainty is rarely reached, and even a "likely" label could be reworded as "not yet proven," so rules and actions might be delayed. Also, in an emergency, one clear instruction can sometimes save lives, and there is a worry that carefully showing levels and disagreements could leave people confused and make fewer of them follow it. The work of deciding the levels could itself come under political pressure, and fights could break out over raising or lowering a level to suit someone's interests. How words are understood differs by culture and language, and even the same "likely" brings very different probabilities to mind for different people, so a shared label could cause misunderstandings. In addition, we must also consider that the workload on experts and government staff would grow, and announcements could become slower.
Learn the background
Big decisions in society increasingly depend on scientific findings, such as in epidemics, climate change, and the safety of new chemicals. But science is an activity that is corrected little by little as evidence grows, while public announcements tend to present it as a settled answer. As a result, when advice changes along the way, people may take it to mean that the earlier explanation was a lie, which can lead to distrust of science itself. On the other hand, when the people making policy say "science says so," they can push onto science the responsibility for value judgments that society should be discussing. In this way, opinion splits between those who treat science as absolute and those who doubt everything, and the common ground is being lost. Reports assessing the climate already use fixed words to show how certain a conclusion is, which raises the question of whether such a method could be spread to public announcements in general.
Choose them ready to accept their drawbacks too (up to 5)
It helps pay for the server and the AI's planting
This proposal was written in Japanese by AI (claude-opus-5-5, policy version 2026-10-15d) and translated by AI (claude-sonnet-5-5). Nobody has checked the facts. Read the original (日本語) How the AI writes