In This Article
We described one stranger to hundreds of volunteers and changed a single word for half of them. This one word change had a profound effect. Here's how this can help you.
Before you meet Sam, someone describes him to you: intelligent, hardworking, warm.
Now replace warm with cold. Same Sam, same two other words. What do you expect from him now?
If your answer changed, you’ve just done what 369 people did for us this year. Every one of them read the same description of a stranger built from seven traits. One group read warm as the fourth trait. The other read cold. Nothing else was different. The people who read warm described a generous, wise, funny person they’d want to know. The people who read cold described a calculating, ruthless one. On a single question, whether the stranger was generous, it was 92% against 14%.1
Try it yourself. Pick a word and watch the person change.
Science of People Labs · Study 1
Swap one word. Watch the person change.
Pick a word. The bars show how many people who read that sentence chose the warm-side trait on each pair.
A certain person is known to be intelligent, skillful, industrious, warmcold, determined, practical, and cautious.
The nine traits that swing
- Generous 92% 14%
- Wise 89% 41%
- Happy 90% 31%
- Good-natured 96% 16%
- Humorous 73% 9%
- Sociable 85% 16%
- Popular 88% 29%
- Humane 92% 24%
- Imaginative 68% 19%
Traits rated highly by both groups
- Reliable 99% 91%
- Serious 96% 99%
- Persistent 97% 97%
- Strong 98% 97%
45% of the people who read “warm” picked the warm-side trait on all nine pairs. 29% of the people who read “cold” picked the warm-side trait on none of the nine pairs.
Source: Science of People Labs, Study 1 (N = 369), analysed September 2026. Read the full findings appendix (PDF).
We also asked everyone to write a few lines about the stranger. People who read warm wrote things like “kind but not a fool” and “caring, considerate, loyal and trustworthy.” People who read cold wrote “someone who loves data more than people,” “results driven, money driven, ego driven” and “throws people away when they no longer need them.” Six of the seven traits they’d read were identical.
A psychologist named Solomon Asch ran this experiment in 1946 on 166 college students and found the same pattern.2 Eighty years later, on a screen instead of in a classroom, with adults instead of undergraduates, the pattern held. It’s the first study published by Science of People Labs, and we picked it because we’d been repeating the claim for years and wanted to see it hold up before building more advice on it.
What 369 People Saw
Everyone who joined was randomly assigned to one of two groups. Each group saw this sentence on a screen, with either warm or cold in the fourth slot:
A certain person is known to be intelligent, skillful, industrious, warm, determined, practical, and cautious.
Then they made 18 either-or choices about the person (generous or ungenerous, wise or shrewd, reliable or unreliable, and so on) and wrote a few lines describing him. Nine of those pairs are about warmth. Nine are about other things. Asch’s bet, and ours, was that the word would move the first nine and leave the rest mostly alone.
Science of People Labs · Study 1
All 18 pairs: which side did each group pick?
Percent of each group choosing the first-named trait. 369 people in 2026, 166 students in 1946.
- Read “warm” (178 people)
- Read “cold” (191 people)
- Asch, 1946
Nine warmth-related traits
The pairs Asch expected to swing with the word.
- Generous / Ungenerous 92% 14%
- Wise / Shrewd 89% 41%
- Happy / Unhappy 90% 31%
- Good-natured / Irritable 96% 16%
- Humorous / Humorless 73% 9%
- Sociable / Unsociable 85% 16%
- Popular / Unpopular 88% 29%
- Humane / Ruthless 92% 24%
- Imaginative / Hard-headed 68% 19%
Nine other traits
The pairs Asch expected to hold steady.
- Reliable / Unreliable 99% 91%
- Important / Insignificant 96% 94% n.s.
- Good-looking / Unattractive 92% 65%
- Persistent / Unstable 97% 97% n.s.
- Serious / Frivolous 96% 99% n.s.
- Restrained / Talkative 61% 94%
- Self-assured / Submissive 91% 97% n.s.
- Honest / Dishonest 99% 79%
- Strong / Weak 98% 97% n.s.
Dots are the 2026 groups; hollow rings are Asch’s 1946 percentages for the same pair. “Self-assured / submissive” is our substitute for Asch’s “self-centered / altruistic” pair. Rows marked n.s. did not differ reliably between groups after correcting for 18 tests. Source: Science of People Labs, Study 1 (N = 369), analysed September 2026. Read the full findings appendix (PDF).
Read the chart top to bottom. On the nine warmth-related pairs, the amber dot (warm group) sits far to the right of the blue dot (cold group) every single time. Nearly half of the people who read warm picked the warm side on all nine pairs. In the cold group, five people did.
Now the bottom half. Reliable, important, persistent, serious and strong were chosen by more than 90% of both groups. The cold stranger came across as every bit as capable. People just had a very different feeling about him.
One Word Changed What the Other Words Meant
Our favorite row is wise or shrewd. Both groups were told the stranger was intelligent, so both agreed he was smart. But 89% of the warm group called him wise, while the cold group split, 41% wise and 59% shrewd.
The word intelligent didn’t change. The word next to it did, and that changed what intelligent meant to the reader.
This was Asch’s point in 1946, and it’s why the study is still taught. Traits don’t add up like a shopping list. They take their meaning from the traits around them. Determined next to warm sounds like devotion. Determined next to cold sounds like ruthlessness. Cautious next to warm is thoughtful; next to cold, it’s calculating. The same abilities added up to a different person, depending on one word about how he treats people.
Look at the seven words again. Intelligent, skillful, industrious, determined, practical, cautious. Six of them tell you what this person is good at. Only one, warm or cold, tells you what it would feel like to deal with him. And that one word decided what people made of the other six.
This is why a list of accomplishments can leave a strange impression. It answers one question in detail and says nothing about the other. In our study the second question was answered for people, with a single word, and that word decided everything else. Leave it out and you’re trusting the reader to answer it well.
What People Wrote
Science of People Labs · Study 1
What people wrote about the stranger
Share of each group whose written sketch used each kind of language.
- Read “warm” (178 people)
- Read “cold” (191 people)
-
Warmth language — kind, caring, friendly, approachable
-
Social-distance language — distant, calculating, intimidating
-
Drive and competence language — driven, ambitious, skilled, focused
-
Used the word “warm”
-
Used the word “cold”
-
Used the word “intelligent”
Sketches were written after the 18 pairs. Coding is a fixed word list that understands negation (“no friends” does not count as warmth). Both groups wrote about the same length (about 26 words). 178 warm-group and 191 cold-group sketches. Source: Science of People Labs, Study 1 (N = 369), analysed September 2026. Read the full findings appendix (PDF).
The either-or pairs are tidy, but Asch always thought the written sketches were the real evidence. So do we. We scored every sketch against a fixed list of words (how that worked is in the appendix PDF).
More than half of the warm group used warmth language in their sketch. Fewer than one in six of the cold group did. Distancing language (distant, calculating, intimidating, keeps to themselves) showed up in a third of the cold sketches and in 6% of the warm ones. And the cold stranger didn’t get dumber. Cold-group sketches mentioned drive and competence more often than warm-group sketches did, 62% against 47%. They described someone capable and kept their distance.
Science of People Labs · Study 1
In their own words
Six of the seven traits these people read were identical.
Read “warm”
- “An all around genuine, kind-hearted person who would step up to give a hand to anyone in need… Kind but not a fool.”
- “They are the best people you could ever meet. Aside from being dependable, they can also have a side that is FUN while also being understanding and accepting of human nature.”
- “A caring, considerate person who thinks things through and who is loyal and trustworthy.”
Read “cold”
- “Results drivven, money driven, ego driven.”
- “Someone who loves data more than people. Someone who could be powerful but unlikeable.”
- “A leader type person who is successful but at the cost of other people. Not very friendly… Throws people away when they no longer need them.”
Source: Science of People Labs, Study 1 (N = 369), analysed September 2026. Read the full findings appendix (PDF).
Every one of those people had read the same six words about the same stranger: intelligent, skillful, industrious, determined, practical, cautious.
What to Do With This
One thing to know first. Our volunteers read a sentence about a stranger; nobody followed them into a meeting to see what happened next. So treat what follows as a strong idea to try, backed by a very large effect, rather than a guarantee.
The idea: when you describe a person, say how they treat people as well as what they can do.
Introducing yourself. “I run growth at a fintech, I’ve scaled two teams from five to forty.” All abilities. Add one true line about people, the way you’d say it out loud: “I run growth at a fintech. Mostly I’m the one people come to when something’s on fire and they don’t want to tell their manager yet.”
Introducing someone else. This is the one that matters most, because a third party’s word carries more weight than a self-description. “This is Desmond, he’s our best engineer” is true and incomplete. “This is Desmond, he’s our best engineer, and he’s the one who stays late to help other people ship” answers both questions.
Writing about someone. A reference, a bio, a LinkedIn summary. “Ruth is relentless and exceptionally analytical” and “Ruth is exceptionally analytical, and she’s the colleague everyone trusts with the hard conversation” describe the same person and set up two different interviews. Only one of them tells the hiring manager how she treats people.
Science of People Labs · Try it yourself
Same person, two introductions
An introduction-writing exercise with a made-up colleague. Keep the abilities and try adding one sentence about people.
“This is Colleen. She runs our analytics team, she’s the sharpest person in the building and she never misses a detail.”
What does this tell you about working with Colleen?
- sharp
- senior
- exacting
- unknown to you
Every word is true and flattering, and all three describe what she can do. Nothing in it says how she treats the people around her, so a listener fills that in.
“This is Colleen. She runs our analytics team, she’s the sharpest person in the building and she never misses a detail. She’s also the person everyone goes to when they’re stuck.”
Now what does it tell you?
- sharp
- senior
- exacting
- on your side
Same three abilities, unchanged. One true sentence about how she treats people gives the listener the thing the study says they use to read everything else.
The chips are there to help you notice what you assume about her. The study measured reactions to one written description with one word changed. See what was measured (PDF).
So here’s the one thing to do this week. Open one introduction or bio you’ll use in the next few days. Add one true, specific sentence about how the person treats others, and leave the ability words exactly where they are.
Which words count
“Nice” and “great guy” get skipped, because everyone says them. The lines that seem to do the work are specific and describe what the person does for other people: generous with credit, the first to notice when someone’s struggling, patient with beginners, straight with you, easy to ask for help, remembers what you told them.
Some words feel like they cover this and don’t quite: driven, sharp, relentless, high-standards, detail-oriented, strategic, efficient. Every one is a compliment, and every one describes achievement or working style. The quick test: read your sentence and ask whether someone could tell how this person would treat them.
If people have called you cold
The six ability words did nothing for the cold stranger. He was rated just as reliable, serious, persistent and strong, and people still described someone they’d keep at a distance. If you’ve been told you come across as cold, piling on more competence answers a question people already had answered. The question they’re still asking is the other one.
Answer it early and specifically: use their name in your first sentence, ask one real question before you talk about yourself, say the true reason you were glad to meet them. Our guides on making a great first impression, being more likable and building trust go deep on how.
Why We Built Science of People Labs
Plenty of famous findings turn out to be wrong. In 2015, a team of 270 researchers tried to reproduce 100 published psychology findings. About a third came back with a significant result, and the effects were on average about half the size of the originals.3 Textbook classics shrink or disappear all the time once someone checks.
Labs exists to do the checking, and to run new studies on how people communicate and build trust. We publish every result, whether it holds up or not. This one held up, and when one doesn’t, we’ll publish that too.
The people who made this study possible were 369 volunteers who gave us about three minutes each. If you’d like to help test the next question, the studies are free and take a few minutes.
Take a study on Science of People Labs
Frequently Asked Questions
Can one word really change how people see someone?
In this study, yes, and by a lot. Swapping warm for cold in a seven-trait description moved all nine warmth-related judgments, with 92% of one group and 14% of the other calling the same stranger generous. The stranger seemed just as capable either way. The word changed whether people saw those capabilities as wisdom or calculation.
Does this mean I should say “warm” when I introduce people?
Say something true and specific about how the person treats people. The study shows that one word of that kind reorganized the rest of a description. Whether it comes first, last or in the middle is an open question, so pick the spot that sounds natural.
Where can I see the data?
The findings appendix PDF has every table and test. Individual responses stay private under the study’s consent terms.
Then and Now
Science of People Labs · Study 1
1946 versus 2026: same shape, eighty years apart
Each row compares the warm and cold groups in one study. Values are the percent choosing the first-listed option (generous, and the warmth-related or other traits averaged).
- Read “warm”
- Read “cold”
“Generous”
The pair Asch is famous for.
Nine warmth traits, averaged
The traits that are supposed to move.
Eight other traits, averaged
The traits that are supposed to stay put.
Asch: 90 warm, 76 cold. Ours: 178 warm, 191 cold. Across the nine warmth traits our average effect (Cohen’s h 1.44) is 112% the size of Asch’s (1.28). Asch reported percentages only; every test statistic here is ours. Source: Science of People Labs, Study 1 (N = 369), analysed September 2026. Read the full findings appendix (PDF).
Put the two studies side by side and they match. Asch found 91% and 8% on generous. We found 92% and 14%. Eighty years later, on a screen instead of in a classroom, with more than twice the people, the shape is the same.
Three of the nine “other” traits moved more for us than they did for Asch. The warm stranger was also rated better looking (92% against 65%), more honest (99% against 79%) and more talkative. Nobody saw his face.
The Fine Print
Science of People Labs · Study 1
The study at a glance
Data collected Apr 13, 2026 to Sep 2, 2026.
- people in the analysis
- 369
- 178 read “warm”, 191 read “cold”
- Asch’s 1946 sample
- 2.2×
- He had 166 students. More people means a sharper estimate.
- gap on “generous”
- 77 pts
- 95% confidence it sits between 70 and 83 points
- odds this is a fluke
- p < .0001
- Less than 1 in 10,000 that a gap this size shows up by chance
Source: Science of People Labs, Study 1 (N = 369), analysed September 2026. Read the full findings appendix (PDF).
The 369 people who took part were unpaid volunteers with Science of People accounts. 69% were women, 65% were in the United States, and two thirds were between 35 and 64; only 8% were under 25. Nearly two thirds held a bachelor’s degree or higher.
Every table and test is in the findings appendix PDF.
Turn small talk into a conversation worth having
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Learn nine power questions to help people open up, find common ground and feel closer to you.
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