Date: Monday, October 19, 2026
Hello, AEA365 community! Liz DiLuzio here, Lead Curator of the blog. This week is Individuals Week, which means we take a break from our themed weeks and spotlight the Hot Tips, Cool Tricks, Rad Resources and Lessons Learned from any evaluator interested in sharing. Would you like to contribute to future individuals weeks? Email me at AEA365@eval.org with an idea or a draft and we will make it happen.
Hello, AEA365 readers. I am Setsu Kono, at the Graduate School of Economics, Senshu University, Japan. I am an evaluation researcher interested in how people actually use evidence in programs and policy.
Lately I have been thinking about a problem I keep encountering in practice: we often treat every forecast as if it were the same kind of evidence. I find it useful to distinguish operational foresight from terminal scenarios.
A short vignette helped me see the split. In Chainsaw Man, a character can see a few seconds ahead. That view is operational: he can dodge, decide, and move. The same contract also shows him a terminal future—his “worst death.” He tries to avoid it through new arrangements. Those arrangements become part of the path. By the time the ending arrives, the person who could still evaluate is gone. This is not a theory of anime. It is a pattern of evidence use.
A dashboard that tells you what is likely if you act this week is an operational packet. You can act, observe, and adjust. A worst-case narrative about collapse may be important risk evidence, but it does not tell you which action will steer the system away. Mixed together, a close-range tool gets scaled into a future it cannot steer.
Knowing is not using. Using needs staff, time, procurement, authority, and the capacity to act. High-resolution evidence that nobody can implement is not yet evidence-in-use. The question is not only how good the evidence is. It is also: who can act on it now?
A warning says the program will fail unless something drastic is done. The organization responds with an emergency contract, a new indicator, or a reorganization. That may be rational. It also changes the conditions of the original forecast. Preventive action can itself become part of the pathway toward the outcome it was meant to prevent.
After evidence moves through the system, the indicator may still be there while the people who understood its limits are not. The metric stays. The person who could still judge does not. That is a failure of evidence use, not merely an implementation footnote.
Before you brief a forecast, write two headings:
If a claim sits in the second column, do not automatically turn it into a workplan. Treat it as risk context, or as a signal that the current question cannot support that prediction.
Evidence does not act. Present agents act on evidence—and may change the future the evidence described.
I would love to hear where short-cycle evidence helped you adjust, and where a worst-case story took over the design.
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