A story about algorithms

There is a growing digital divide. Not just about access to technology, but about understanding and literacy. On one side are the "pros": people who speak in code, build websites, and navigate algorithms with ease. On the other hand, the majority view smartphones as miracle gadgets — used for convenience and entertainment. Even teachers often can't explain how they really work.

So I asked myself: if I can explain it to my 80-year-old grandmother, couldn't I explain it to anyone? She lives in a small village. She works as a herbalist. She raises a herd of goats. She's never owned a smartphone. So I sat down with her, and started from the beginning.

How My Grandma Fell Under Surveillance

Who's watching from the other side of the screen, and why?

My grandma wakes up early, earlier than the sun.

She goes outside to milk her cow.

As always, she takes her old bucket — the old one, with the dent in the side.

She says it works just fine. It still holds the milk.

This moment reflects a simple life — one grounded in needs, not wants. Milking the cow is a choice that comes from purpose, culture, and tradition, not an algorithm. The old bucket may be dented, but it still serves its purpose.

Grandma didn't notice a spy was peeking over the fence.

He wrote down: "Old bucket." "Wooden stool." "Lives alone." "Has a cow."

Like digital tracking systems online, Grandma's behaviour was quietly observed, recorded, and analyzed. Information about her habits became valuable data — something that could be sold, shared, and used to predict future purchases. In today's digital economy, personal behaviour is often treated as a product. MediaSmarts. (n.d.). Advertising, marketing and consumerism: Children and youth online.

One day, a salesman knocked on Grandma's door.

"Would you like a shiny new milk bucket?" he asked.

Grandma looked at her old dented bucket. Then she looked at the new one. It was bright. Smooth. Beautiful.

So she bought it.

The new bucket solved a problem Grandma never really had. Consumerism often begins this way: by teaching people that old things are no longer good enough, even when they still work perfectly well. Modern companies collect information about people's habits and behaviors in order to predict what they might buy next. That information is then used to shape advertising and influence choices. Grandma did not go looking for a new bucket. The bucket came looking for her. Adam Alter, Irresistible: The Rise of Addictive Technology and the Business of Keeping Us Hooked (2017)

The salesman returned with a shiny padded chair.

"This would make milking much easier," he said kindly. Grandma looked at her old wooden stool. It suddenly seemed small and hard.

The company compared Grandma to other customers. Bucket buyers often needed new chairs, too. That pattern became a profit.

Companies compare customer habits to predict what people may buy next. Once Grandma bought the new bucket, her choices became useful marketing data. Recommendation systems use these patterns to personalize advertising and influence future purchases. MediaSmarts. (n.d.). Children and advertising online.

A new chair was just the start. Boxes arrived every week. Machines beeped. Screens blinked.

Some things made milking faster. But Grandma felt more tired and overwhelmed than before.

Modern consumer systems encourage people to keep upgrading, even when new products add stress, distraction, or dependence rather than improvement. Grandma no longer bought things because she truly needed them. She bought them because the system kept suggesting something newer. Overexposure to recommendations can lead to compulsive consumerism, in which people begin following trends rather than their genuine needs. Alter (2017); Zuboff, S. (2019). The age of surveillance capitalism.

The salesman didn't only earn money from selling Grandma the chair. He also learned things about her: what she buys, when she buys, what she might want next.

Soon, other companies wanted that information too. Every click, purchase, and interaction helps fuel an economy built on watching.

In many digital business models, personal data is often more valuable than the product itself. Information about what people buy, search for, click on, and respond to can be collected, analyzed, shared, and used to predict future behavior. The more accurately companies can predict behavior, the more effectively they can influence decisions and increase profit. Every click, purchase, and interaction helps fuel an economy built on surveillance capitalism. Zuboff, S. (2019). The age of surveillance capitalism.

The gadgets kept Grandma busy. Grandma's granddaughter used to visit every weekend.

But now she said, "Grandma has all those smart machines. She probably doesn't need my help anymore." The house became quiet.

Technology can make daily life more convenient, but it cannot replace human connection. Systems designed for convenience may unintentionally reduce opportunities for a simple conversation and reduce moments of care. As people become more dependent on digital solutions, feelings of isolation and loneliness can quietly increase. Turkle, S. (2011). Alone together.

But one afternoon, her granddaughter came back — not to check on the machines, but just to sit with her.

They talked. They laughed. The cow lay quietly in the grass. No screen was watching this part.

Grandma's New Wisdom

What the story leaves behind.

Take these with you ← Back to Screen & Self