The most consequential losses are the ones that happen below the threshold of attention.
The interesting question is not what we have lost. It is what we have stopped noticing we no longer have.
Think about the last time something genuinely surprised you. Not pleasantly or unpleasantly. Just: you did not see it coming, it did not fit a pattern you already knew, it required you to update something. Now think about how recently that happened. How often it happens. Whether the answer has changed over the last few years.
Most people, when they sit with that question honestly, notice something. The range of what reaches them has narrowed. Not the volume. The range. More content, more cities, more science, more films. But the genuinely unexpected, the thing that arrives from outside the pattern, has become harder to find in all of them. The first piece in this series looked at what that feeling is made of. This one looks at where it comes from.
This is not a complaint about quality, which is often fine. It is an observation about variety. And it turns out that variety, the kind that actually surprises, is disappearing from more places than most people have noticed, through a mechanism that is worth understanding.
Of the approximately 7,000 languages spoken in the world today, nearly half are considered endangered, with loss rates expected to triple within 40 years without intervention. The numbers are striking enough on their own, but the more disquieting question is not how many languages are disappearing. It is what disappears with them.
Not just words. Languages are not interchangeable containers for the same content. Each one carves up reality differently, encodes distinctions that others do not make, ways of perceiving time, causation, spatial relationship, and obligation that have no direct equivalent elsewhere. When a language disappears, the cognitive territory it mapped does not transfer to the language that replaces it. It ceases to exist.
This has been happening for decades, accelerating, and most people could not tell you when they first noticed, because they did not notice at all.
A similar process has been reshaping agriculture. Industrial farming consolidated around high-yield monocultures during the twentieth century, optimizing for what could be measured: output per acre, shelf life, transport durability, consistency of appearance. Locally adapted landrace varieties, some cultivated over centuries to specific soils, climates, and conditions, were displaced in the process. The FAO has confirmed that genetic erosion is taking place across nearly all countries, and researchers writing in New Phytologist note that locally adapted varieties carry accumulated knowledge that cannot be recovered simply by reintroducing a seed. The variety survives in a database. The knowledge embedded in its relationship to a specific place does not.
The mechanism is worth naming plainly: optimization for a single measurable outcome narrows a commons. The system produces more of what it can measure, less of what it cannot, and everything else thins out gradually enough that no single season feels like a turning point.
The same mechanism is operating right now, in domains that are easier to measure.
In 2019, franchise films represented 42 percent of wide releases but earned 82.5 percent of the worldwide box office. By 2025, franchise and IP-based films were generating 73 percent of total domestic box office revenue, with nine of the ten highest-grossing films of 2024 being sequels, remakes, or franchise installments. Studios are not producing fewer original films because audiences have stopped wanting them. The filtration is happening earlier, in the risk calculus that determines what gets funded and what gets made. The optimization logic favors the known over the new not because the new fails, but because the known is easier to predict.
Science tells the same story with different numbers. Analyzing 45 million papers and 3.9 million patents across six decades, a 2023 Nature study found that research is becoming less likely to depart from prior work in ways that push a field in new directions. The volume of science has expanded dramatically, but the proportion of it that breaks genuinely new ground has not kept pace. The system is producing more, building higher, and departing less.
Languages, seeds, films, science. Different domains, different metrics, the same shape: a system optimized for a measurable outcome generates more of what it can already predict and progressively less of what it cannot.
In the late 1980s, fishermen on the Grand Banks off Newfoundland were reporting normal catches. The cod stock was already in freefall. What the fishermen were experiencing was not abundance. It was a shifted baseline: normal had been quietly redefined each season, each year’s losses absorbed into a new expectation of what a good catch looked like. The collapse came in 1992. By then the recovery window had already closed.
This is how depletion of a commons works from the inside. It does not feel like depletion. It feels like Tuesday. The loss accumulates in the gaps between moments, in the things that are no longer there to be noticed, in the questions that no longer get asked because the conditions that would have prompted them have quietly disappeared.
The languages going silent carried ways of thinking that are now gone. The seed varieties displaced by monocultures carried adaptive knowledge that cannot be retrieved. The original films not made, the scientific departures not taken, the imaginative territory not entered: these are not dramatic absences but the kind that only become visible when someone reaches for something that used to be there and finds it gone.
You did not notice the baseline shifting, and neither did the fishermen. That is not a failure of attention but the structural condition of this kind of loss.
The question worth sitting with is not whether the narrowing is real. The question is what is producing it, what the mechanism looks like at the level of the systems doing the optimizing, and whether that mechanism can be named precisely enough to do anything about it.
References
Bromham, L. et al. (2022). Global predictors of language endangerment and the future of linguistic diversity. Nature Ecology and Evolution. https://www.nature.com/articles/s41559-021-01604-y
FAO (1999). Agricultural Biodiversity, Multifunctional Character of Agriculture and Land Conference. https://www.fao.org/4/y5609e/y5609e02.htm
Khoury, C. et al. (2022). Crop genetic erosion: understanding and responding to loss of crop diversity. New Phytologist. https://nph.onlinelibrary.wiley.com/doi/10.1111/nph.17733
Park, M., Leahey, E. and Funk, R. J. (2023). Papers and patents are becoming less disruptive over time. Nature, 613, 138–144. https://www.nature.com/articles/s41586-022-05543-x
FranchiseRe (2024). Movie Box Office Charts and Trends. https://www.franchisere.biz/movie-industry-charts-and-trends/
AMW Group (2025). Film and Box Office Statistics. https://amworldgroup.com/statistics/film-box-office-statistics