# GUAR tester: a hardware RNG probing human intent

Roni Bandini built a device to see whether a person's intention can nudge a hardware-generated random sequence off course.

- Category: Hardware (build)
- Made by: [Roni Bandini](https://www.hackster.io/roni-bandini) on Hackster
- Original: https://www.hackster.io/roni-bandini/guar-tester-6ba8fa
- On Afterware: https://afterware.xyz/p/guar-tester-a-hardware-rng-probing-human-intent

## Can I build this?

- Difficulty: Intermediate
- AI-buildability: 4/5 (Most of the work is firmware and analysis code for an off-the-shelf microcontroller with a noise source, plus some light soldering.)
- Time: A weekend
- Cost: $15–40
- Tools: soldering iron, microcontroller development board

Estimates based on the original write-up. How the AI-buildability score works: https://afterware.xyz/ai-buildability

## Starter prompt

```
Based on "GUAR tester: a hardware RNG probing human intent" on Afterware: https://afterware.xyz/p/guar-tester-a-hardware-rng-probing-human-intent

Write firmware for an ESP32 that reads a hardware random number generator and streams 1,000 bytes per second over serial. Add a button that marks a timestamp, and log each marked window to a CSV. Then write a Python script that computes the bit-bias of each window so I can compare intentional and baseline runs.
```

## Story

The source gives only the premise: an experimental device built to explore whether human intention correlates with deviations in a hardware-generated random sequence. The idea is the hook. A hardware random source is supposed to be unpredictable, and this build asks whether a person's focus can leave a measurable trace in it.

The source doesn't describe the hardware, the parts or how the test runs, so there's no build detail to pass along. Treat this as a concept-level experiment rather than a how-to.

Tags: hardware rng, random number generator, experiment, intention test

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