One question before you start
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We examine which words follow 72 common words like “the” and “and” in Reddit’s r/explainlikeimfive posts and ChatGPT conversations from WildChat, comparing each year’s patterns against a 2016–2026 Reddit baseline to track changes in sentence structure over time.
The measurement itself
The gap, on its own scale
Source: Jensen–Shannon divergence across 72 seed words, with matched sample sizes and a pre-AI human reference. 90% intervals: ±0.004 — thinner than these lines are drawn.
How we know — 01
To measure true stylistic shift, we first had to separate style from subject.
A Reddit thread about cats and a chatbot answer about
databases share almost no vocabulary. That gap is real, and it
says nothing at all about how either one writes.
How we know — 02
The word that follows the anchor.
01 ANCHORS
Words with no subject of their own: “the”, “of”, “is”, “to”, “and”. Each one is an anchor.
02 WHAT FOLLOWS
Every time an anchor appears we record what came next.
03 A SHAPE PER ANCHOR
Generates a probability distribution representing machine sentence structure.
04 A SHAPE PER ANCHOR
Generates a probability distribution representing human sentence structure.
How we know — 03
Every anchor gives us two lists of probabilities: one for humans and one for AI. To plot a trend over time, we calculate a single score that shows how different those two lists are.
0.31 is the floor: split one body of writing in half and compare it with itself and you still score that much, purely from counting a limited number of words. Human 2025 sits 0.11 above it; the machine, 0.25.
Imagine picking a word at random from one list. How easily could someone guess whether it came from human writing or AI?
Measured from a fixed point 2016–17 Reddit, before generative AI. One ruler: the human line and the AI line are both measured against that same baseline.
Try it on a word
the last words through the machine
Built from the data we collected, our Humanometer algorithm maps words along a human-to-AI spectrum based on how frequently each side uses them.
Every category we measured, on one wheel. Each spoke is scaled to whichever side uses it more, so the leader touches the rim and the other sits in proportion behind it.
Each word is positioned by who uses it more: Reddit commenters on the right, Claude/WildChat on the left. Higher words appear more often across both corpora.
Let’s awaken your senses!
How often humans and AI use sensory language.
Imagination words
used 1.67× as often
Each machine holds the imagination words its own side actually uses, in its real proportions, and its crank turns once per word. Reddit reaches for imagination in 2.24% of passages against WildChat’s 1.34% — 1.67× as often.
Pick one.
Empathy
This graph counts words from a fixed empathy-related list, such as “empathy,” “compassion,” “sympathize,” “heartfelt,” etc. It measures their frequency, rather than how empathetic a response is.
Across 50 r/Advice posts answered by both humans and AI, how often do their replies express empathy, rather than simply recommend being empathetic?
“The limits of my language mean the limits of my world.”
Ludwig Wittgenstein, Tractatus Logico-Philosophicus
Ori Shemer
Design Engineering
Zak Vaneck
Mechanical Engineering