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The shape of collective imagination

  • Writer: Vijaymohan Chandrahasan
    Vijaymohan Chandrahasan
  • Mar 13
  • 6 min read

Updated: Mar 13

There’s an idea that’s been quietly simmering in my mind for a while now. It started as a passing curiosity, but the more I dwelled on it, the more I felt it might reveal something far deeper - about how we think, how we remember, and perhaps even how we collectively perceive the world.

What if thousands of people could draw something… without ever actually drawing it?


One dot. One thought. One canvas.

Imagine this scenario.

We give a simple digital canvas - let’s say 1000×1000 pixels - to 50,000 people. Each person is given just one instruction:


“Close your eyes. Imagine a perfect circle. Now place a single dot on this canvas where you think a part of that circle lies.”


That’s it. One dot per person. No drawing tools. No guidelines. No references. No undo. And critically - no visibility into what anyone else has placed.

It’s a strangely minimalist setup. Each person is acting in isolation, based solely on their own internal image of a circle and their own sense of spatial estimation.

But now comes the interesting part.


What happens when the dots merge?

Once we’ve collected all 50,000 dots, we overlay them all onto a single canvas. But to bring some visual logic to it, we define a simple rule:

  • A single dot appears mid-grey (say, 50% opacity)

  • A second dot placed on the same pixel makes it darker.. say, 75%

  • A third dot pushes it to 87.5%, then 93.75%, and so on

  • Eventually, multiple overlaps push it closer and closer to solid black



DALL·E-generated dot-based circle on white background.
Conceptual illustration generated by DALL·E showing a theoretical outcome of thousands of black dots forming a near-perfect circle on a white canvas. The dot density increases along the circumference, representing collective alignment around a mental image of a circle. This image is a visual simulation and not based on actual human experiment data.


In theory, what we’d get is a density-based visualisation of where people tend to agree - areas of alignment growing darker, areas of divergence staying light or scattered.

And here’s the question that really excites me: Would that final image actually resemble a perfect circle?


The power of averaging mental geometry

Even though no one actually drew a circle, would the shared imagination of thousands of individuals converge on something nearly perfect?


Sure, every person might have placed their dot slightly off. A bit too far to the left. Slightly outside the arc. A bit too close to the centre. But that’s exactly what makes it interesting - because when you aggregate imperfect inputs at scale, something extraordinary can emerge.

This experiment would essentially be a way to visualise how precise the human collective imagination really is.


We could even take it further:

  • Calculate the average coordinates and build a heatmap.

  • Fit a best-fit circle using regression modelling.

  • Measure how tightly the cluster aligns with a mathematical circumference.

  • Observe how the shape sharpens as participation scales.

The imperfections wouldn’t distort the outcome - they’d be cancelled out by consensus.


What If the shape was more complex?

Then I began wondering… what happens when you raise the complexity?

Let’s say instead of a circle, we ask participants to imagine a peace symbol. That iconic shape - a circle with a vertical line and two downward diagonals. Still simple, but more structured.

Same rules apply: one dot per person, placed wherever they feel a part of the peace symbol would fall.


Would the outcome still be recognisable?

Would we start to see the outer ring darken, the vertical spine stand out, and the diagonal lines faintly emerge - not because anyone drew them, but because thousands of minds subconsciously agreed on their placement?



DALL·E-generated dot-based peace symbol on white canvas.
A theoretical visualisation generated by DALL·E depicting thousands of black dots forming a peace symbol - a circle with a central vertical line and downward diagonals - on a white background. The dot density highlights how such a symbol might emerge from collective visual memory. This is a conceptual image, not based on real participant data.

I believe we would. Because these symbols aren’t just visual - they’re cultural. They live in our memory, in our visual vocabulary. The more people contribute, the more the symbol’s structure would appear - not through instruction, but through cognitive patterning.


Can we draw a face from memory?

Then came an even wilder thought.


What if we asked people not to imagine a shape - but a person?


Let’s say we show a video of a human face, front-facing - a stranger or a familiar celebrity. Then we take away the video and ask each participant to place ten dots: where they remember key facial features to be - eyes, nose, mouth, jawline, forehead, ears.


Again, one participant can’t do much. But 50,000 people?


Would we begin to see a recognisable human face emerge - not from precision, but from statistical memory? Would certain regions like the eyes and mouth cluster densely, while others like the chin and temples scatter more broadly?



DALL·E-generated dot-based front-facing human face with subtle variations.
Conceptual image generated by DALL·E, showing a front-facing human face formed through dense clustering of small black dots on a white canvas. The dots are concentrated around key facial features like eyes, nose, and mouth, illustrating a theoretical outcome of memory-based dot placements. This is a simulated representation, not derived from an actual experiment.


Would the final image resemble the person they saw - or would it evolve into a blurry average of human facial structure? A face built from memory, not by drawing, but by probabilistic reconstruction.

It’s almost eerie to think about - that memory itself could be visualised, not by individual accuracy, but by collective agreement.


A note on perspective: Geometry vs memory

There’s something important to consider here... something that subtly changes depending on the subject of the visualisation. When people imagine a circle or a peace symbol, the perspective is relatively consistent. These shapes are generally stored in our minds in a flat, top-down, front-facing view. There's a shared, near-universal mental model of how they look spatially.


But a face - particularly one reconstructed from memory, is much more fluid in how it is perceived.

Even if every participant sees the same face, they may remember it with subtle differences:

  • One may picture a smile, another a neutral expression

  • Some may mentally visualise the face slightly turned, or with more intense lighting or shadow

  • Others may recall or subconsciously alter the features based on emotion, familiarity, or cultural bias


In effect, the outcome isn’t just a face - it’s an impression of a face, shaped by collective memory, but coloured by individual interpretation and perceptual nuance.

That’s what makes this part of the experiment even more fascinating - not only does it reflect what we remember, but also how differently we remember the same thing.


So what does this all tell us?

This experiment, for me, goes beyond the novelty of visuals. It touches something deeper - something almost philosophical:

  • How closely aligned are our internal visual models?

  • Is there a universal geometry embedded in our cognition?

  • Can collective thought produce form - even without intent?

  • Can noise average into order?


There’s something beautiful about the idea that a crowd of isolated minds can unconsciously create harmony. That from thousands of scattered perceptions, a coherent structure can surface - not by coordination, but by convergent imagination.

What else could this mean?

I’ve been wondering whether this concept could go even further.

What if, instead of placing dots on a canvas, a thousand people described something they saw - an event, a scene, a moment in time?


Let’s say they all witnessed the same incident - a public event, a surreal moment, a memory fragment. Each person writes out their version of what they saw - in their own words, style, and detail.

Now imagine feeding all of those descriptions into an AI system - a video generator, or an intelligent synthesis engine. Could it reconstruct the event visually, just like the circle formed from dots?


Could the AI pick up on overlaps in language, sequence, sentiment, and spatial reference - and stitch them together into something cohesive and accurate?

Would the sheer volume of inputs help it filter out hallucinations? Would a consensus-based narrative reduce ambiguity and errors - creating a probabilistic visual truth, shaped by mass recollection?


I don’t have the answers yet - but I find the idea fascinating. Perhaps someone will build something like this one day. Until then… this remains one of the most intriguing what-ifs I’ve ever thought through.

And if you ever find yourself building it - I’d still love to be the first one to place a dot.

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Vijaymohan Chandrahasan. 2025.

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