The shop is almost empty.
One person gets in line.
A few minutes later, they look behind them.
There are more people.
Then it happens again somewhere else. There was barely a queue before they arrived, but people show up after they join.
After enough repeats, the joke writes itself:
“Why does a line always form when I get in it?”
Then comes the upgraded question:
“What if the first person is attractive? Could that make the effect stronger?”
It sounds like a supernatural talent. Broken down carefully, however, it becomes a real consumer-psychology question. There is solid evidence that queues can influence later customers. There is not equally direct evidence that one particular person has a “queue-summoning ability,” or that an attractive first customer directly causes a longer queue.
1. The answer――queues can attract more customers; a personal superpower is a separate claim
| Claim | Evidence available | Current verdict |
|---|---|---|
| A visible queue makes a place look popular | Consumer experiments | Strong |
| Longer queues can correlate with more newcomers | Field observation | Plausible |
| Waiting can signal quality | Multiple experiments | Plausible |
| Attractive people can affect evaluations of people and products | Adjacent research | Conditional |
| An attractive first customer directly lengthens a queue | No decisive direct study found | Unproven |
| A specific individual has a queue-summoning effect | No individual dataset | Unproven |
So “queues create more queues” is quite realistic.
“Queue Summoning Lv. 99,” however, still needs unlock conditions.
2. Why 0→1 matters――the first customer supplies more than one body
An empty storefront creates uncertainty.
Is it unpopular? Is this the right place to wait? Is it open for ordering? Is the neighboring shop the safer choice?
When one person joins, a new piece of information appears: somebody chose this place.
When two or three people join, that information becomes harder to ignore.
Using other people’s behavior as a clue for one’s own decision is commonly described as social proof or informational social influence. In plain language: when you do not know, you look at what other people picked.
The first customer has explained nothing about the food, service, or price. Yet simply standing there can still convey information.
For the business, that is an absurdly efficient signboard.
The customer was only trying to buy something.
3. Queue research――newcomers really can move toward the busier option
Raz and Ert examined queues outside similar restaurants located near one another. Queue length was strongly related to the number of newcomers, and the effect was stronger in tourist areas, where customers were less familiar with the restaurants.
That distinction matters.
If people already know the restaurants, they can use their own experience.
If they do not, the visible queue becomes information.
Noone and Lin’s 2024 experiments similarly found that, for a novel service experience, the mere presence of a wait line could raise perceived brand popularity, which in turn lifted anticipated quality.
But longer is not endlessly better. Their second study found that the positive effect diminished as waiting time increased.
One or two people: “Maybe this place is popular.”
Fifty people: “Nope, I’m leaving.”
Humans use social proof, but they also dislike wasting an hour.
4. Waiting itself can become a quality signal
Waiting is normally a cost. It consumes time and creates friction.
Yet when quality is uncertain, the wait itself can be interpreted as evidence.
Across four experiments, Giebelhausen and colleagues showed that required waiting could function as a quality signal and, under some conditions, increase purchase intentions and experienced satisfaction. The effect mattered especially when people lacked prior knowledge, cared about quality, or could not easily judge quality objectively.
So the lesson is not “busy is always good” or “empty is always bad.”
It is that when consumers are uncertain, they may read the queue as part of the product information.
The people outside the store are not on the menu, but they can become part of the interface.
5. “But this has happened many times”――that makes it interesting, not yet proven
One occurrence is easy to dismiss.
Repeated occurrences deserve more attention.
There is still a memory trap, though.
“I joined and five people appeared” is an event. It sticks.
“I joined and nobody came” contains no drama, so it is easy to forget.
Tversky and Kahneman described the availability heuristic: people often judge frequency or probability partly by how easily examples come to mind.
That means the useful dataset is not only the number of “successful summons.”
It also needs the failures.
Keep only the victory log and delete every quiet queue, and almost anyone can look like an SSR-grade character.
6. What if the first customer is attractive?――direct and adjacent evidence must be separated
This is the fun question, but it needs clean evidence boundaries.
In the sources checked for this article, no decisive field experiment was found that directly asks: if an attractive person is placed first in an otherwise identical queue, do more people join behind them?
So it would be wrong to write:
“Beautiful people create longer lines. Science proved it.”
What does exist is adjacent research showing that attractiveness can spill into other judgments.
That is useful, but it is not the same claim.
7. The adjacent evidence――attractiveness can affect judgments of people and even products
The tendency to attach other favorable traits to physically attractive people has a long research history. A 1991 meta-analysis found an average “what is beautiful is good” effect, but it was moderate and varied substantially depending on what trait was being judged. It was not a universal magic bonus.
There is also evidence closer to retail behavior.
In three field experiments conducted in real retail settings, Argo, Dahl, and Morales found that products were evaluated more favorably when consumers believed they had been touched by a highly attractive other. The authors described this as positive consumer contagion. The effect also depended on sex-related conditions, so it did not occur identically for every attractive source and every observer.
This does not prove that an attractive person in a queue attracts more customers.
It proves something narrower and still interesting: consumers do not evaluate products in a social vacuum. Who is associated with a product can leak into the evaluation of that product.
That makes an “attractive or especially credible first customer strengthens the initial signal” hypothesis reasonable enough to test, but not reasonable enough to declare as fact.
8. The two-stage rocket hypothesis――from one noticeable person to the queue itself
Put the two research areas together and a plausible mechanism appears.
An empty shop gets its first customer.
A second passerby sees that person and treats the choice as useful information.
Once a second person joins, later passersby no longer see only the first person. They see a queue.
The engine changes.
Stage one: information carried by the first customer.
Stage two: social proof carried by the queue itself.
That is the “two-stage rocket” hypothesis.
If it were true, the business would be acquiring an attractive early customer as a free advertisement.
Early customer: “I literally just came here to eat.”
The full two-stage mechanism has not been proven by one experiment. The attractiveness part is an inference from adjacent research; the queue part has more direct evidence. Keeping those layers separate is what makes the joke scientifically usable instead of merely flattering.
9. The strongest alternative explanation――you did not summon the crowd; you arrived 30 seconds before the wave
The biggest enemy of the queue-summoning theory is boring.
It is the clock.
Lunch breaks, dinner time, train arrivals, movie endings, event intermissions, traffic lights, and pedestrian flows all synchronize people.
If one person thinks “time to eat” at 5:25 p.m., many others in the same area may make a similar decision between 5:25 and 5:35.
The visible sequence becomes:
0 people → you join → eight people appear.
Feeling: “I summoned eight people.”
Alternative: “I reached the same demand wave 30 seconds earlier.”
The two mechanisms can also coexist. The first few people may arrive because of timing, while later customers are influenced by the visible queue.
10. How to test the personal “queue magnet” hypothesis with an N-of-1 experiment
A simple personal test can beat memory alone.
When an eligible quiet shop appears, assign one of two conditions in advance:
- A: join immediately.
- B: stay a short distance away for two or three minutes, where your presence does not add to the visible queue, then join.
- Record the starting queue length, number of new arrivals in the next three minutes, day, time, and rough pedestrian traffic.
- Record quiet failures as carefully as dramatic successes.
- If possible, choose A or B in advance with a coin flip rather than by mood.
Twenty or thirty observations are more informative than ten.
This still would not have laboratory control, but it would be far better than a highlight reel stored in memory.
If the B condition stays quiet while the A condition repeatedly produces a sharp rise in arrivals, things become genuinely interesting.
At that point the suspicion changes from:
“customer”
to:
“unpaid provider of initial liquidity.”
In financial markets, early liquidity matters. At storefronts, perhaps the first visible “yes, someone chose this place” signal has value too.
11. Final verdict――the queue effect is real enough; the personal and attractiveness boosts still need data
Research supports the idea that a queue can influence later customers, particularly when the place is unfamiliar and quality is uncertain.
Whether one particular person repeatedly causes the increase cannot be separated from timing, demand waves, and memory bias without actual records.
And the “attractive first customer” idea remains a hypothesis for queues. Adjacent research shows that attractiveness can affect judgments of people and products, so the mechanism is not absurd, but it has not been directly demonstrated here.
Current scoreboard:
Queues creating more queues: very plausible.
Some people being better sparks: plausible.
Attractiveness boosting the spark: coherent, unproven.
Personal skill “Queue Summoning”: submit logs.
Shop: “Getting the first person is the hardest part.”
Early customer: “That sounds like your problem.”
Sources
- Ornit Raz, Eyal Ert. “Size Counts”: The Effect of Queue Length on Choice between Similar Restaurants. Advances in Consumer Research, Vol. 35, 2008, pp. 803–804. https://acr.memberclicks.net/assets/docs/NAACRVol35.pdf
- Breffni M. Noone, Michael S. Lin. Exploring the upside of waiting: The positive effects of waiting as a cue to brand popularity. International Journal of Hospitality Management, 118, 103691, 2024. https://doi.org/10.1016/j.ijhm.2024.103691
- Michael D. Giebelhausen, Stacey G. Robinson, J. Joseph Cronin Jr. Worth waiting for: increasing satisfaction by making consumers wait. Journal of the Academy of Marketing Science, 39, 889–905, 2011. https://doi.org/10.1007/s11747-010-0222-5
- Jennifer J. Argo, Darren W. Dahl, Andrea C. Morales. Positive Consumer Contagion: Responses to Attractive Others in a Retail Context. Journal of Marketing Research, 45(6), 690–701, 2008. https://doi.org/10.1509/jmkr.45.6.690
- Alice H. Eagly, Richard D. Ashmore, Mona G. Makhijani, Laura C. Longo. What Is Beautiful Is Good, But…: A Meta-Analytic Review of Research on the Physical Attractiveness Stereotype. Psychological Bulletin, 110(1), 109–128, 1991. https://doi.org/10.1037/0033-2909.110.1.109
- Amos Tversky, Daniel Kahneman. Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207–232, 1973. https://doi.org/10.1016/0010-0285(73)90033-9
