Doubt day, and today’s target is the previous nine posts. I’ve spent two weeks describing futures in confident prose, and the base rate for that activity is dismal, and you should know exactly how dismal before you carry any of it around.

The record is not mixed, it’s bad. Go and read what serious people expected the year 2000 to look like, written in the fifties and sixties by exactly the sort of committee that gets things right. Cities under domes. Nuclear everything. Colonies on other worlds, routinely. Almost none of it happened, and almost none of what did happen was on the list, and the biggest single change of the period, a global network that rearranged commerce, politics, and human attention, appears essentially nowhere in the futurism of the era that invented it. The misses weren’t at the edges. They were the whole picture.

Three failure modes explain most of it, and all three are visible in what I’ve written this fortnight.

The first is extrapolation. People take the trend in front of them and run it forward, because that’s the only tool available, and trends bend for reasons that are invisible until they’ve bent. Every scenario in this fortnight assumes capability continues along a path that looks like today’s path, and the honest position is that nobody knows what the next architecture even is.

The second is that vivid stories crowd out likely ones. A future you can picture feels more probable than one you can’t, and detail increases vividness while decreasing probability, since every specific added is another thing that has to go right. My reservation teacher is a good example: the scene works precisely because it’s furnished, and every piece of furniture makes it less likely to be the world we get.

The third is narrative coherence, and it’s the one I’m most guilty of. Real history is incoherent. It’s several contradictory things happening in different places at different speeds, with no arc and no theme, and it only acquires a shape when someone writes it down afterwards. A future with a clean shape is almost certainly a story rather than a forecast, and every one of my six endings has a clean shape, because I wrote them.

There’s a fourth thing worth adding, which is that the actual future is usually made of a factor nobody named. Not a wrong prediction, a missing category. The people forecasting the year 2000 weren’t wrong about computers, they were missing the concept that turned computers into the thing that mattered, which was connecting them together. Whatever is missing from this series is, by construction, something I can’t tell you about, and it may well be the whole story.

So what survives, if anything? Two things, and I think they’re enough to justify the fortnight.

Scenarios have never been worth much as predictions and are worth a lot as vocabulary. If in ten years you notice an arrangement forming and you already have words for it, you’ll see it years earlier than someone who has to invent the words while it’s happening. That’s the actual product of this kind of writing: not knowing what comes, but recognizing it slightly sooner. The organizations that do scenario planning well have always known this, and they measure it by whether people spotted things early rather than by whether the scenarios came true.

And the useful move under deep uncertainty is not to bet on a scenario, it’s to look for the actions that pay off across most of them. Almost everything I’d argue for, liability, external testing, keeping fallbacks alive, not letting the training pipeline for human expertise collapse, is good in the good ending, good in the fizzle, and good in every bad one. That’s not a coincidence, it’s the selection criterion. Anything that only helps in one scenario is a bet. Anything that helps in five is just competence.

My crux for this doubt, since every doubt post gets one: if in five years the useful conversations about this are happening in vocabulary that none of the current scenario writing produced, then this genre, including this series, was decoration. If instead people are using words like drift, dependency, and handover to describe things they can point at, then it was worth the paper. That’s checkable, and I’d rather be checked than admired.

Tonight’s exercise. Find a prediction you personally made more than five years ago about anything at all, work, technology, a relationship, a country. Recall how confident you were, then compare it to what happened. Now, and this is the part that matters, ask what you’d have needed to know at the time to do better. In almost every case the answer isn’t better reasoning. It’s a fact that wasn’t available yet, which is exactly the situation everyone writing about the next twenty years is in, including me, at greater length.