# Naive probability

## TL;DR

This paper introduces a simple, rational model of probability that emphasizes low-resolution, coarse-grained reasoning about uncertain events.

## Contribution

It presents a novel, low-resolution approach to modeling probability, contrasting with traditional high-precision methods.

## Key findings

- Provides a rational framework for low-resolution probability modeling
- Highlights the simplicity and potential applications of coarse probability models
- Suggests new directions for probabilistic reasoning with limited detail

## Abstract

We describe a rational, but low resolution model of probability.