Introduction
This is a simplified experiment for the beginner and to get you started on the series set.
The introductory experiments for each category have already been published as entry points into the system.
What follows next is the expanded Science Deconvolution series, where each experiment is developed into a deeper system-level explanation of how and why it works.
What this series is
This is not a list of random experiments.
It is a structured progression of scientific systems, organised into five core domains:
- Physical Systems
- Chemical Systems
- Fluid & Transport Systems
- Energy & Field Systems
- Biological Response Systems
Each category starts with a simple experiment (already published) and then expands into higher-level system models.
What the simplified posts do
The beginner experiments you’ve already seen are designed to:
- Introduce Observable Behaviour
- Build Intuition
- Show Real-World Effects
- Require Minimal Setup
They are the entry layer of the system.
What comes next in the series
The upcoming posts will go deeper into each experiment and explain:
- Underlying System Structure
- Interaction Rules
- Equilibrium Behaviour
- Gradient And Field Effects
- Feedback And Constraints
- Multi-Variable Interactions
Instead of just seeing what happens, you will learn:
What system is producing the behaviour, and why does it behave that way.
How the Science Deconvolution structure works
Each experiment is treated as a system with:
- Inputs (forces, energy, or conditions)
- Internal interactions (chemical, physical, biological processes)
- Constraints (gravity, structure, medium, or time)
- Output behaviour (movement, reaction, growth, or pattern formation)
Example of the progression
For each category:
Step 1 (already published)
A simple observable experiment
→ “What happens?”
Step 2 (next posts)
System-level breakdown
→ “Why does it happen?”
Step 3 (advanced Science Deconvolution layer)
Cross-system interaction
→ “How does this connect to other systems?”
Categories included in this series
- Physical Systems (density, buoyancy, equilibrium)
- Chemical Systems (reaction, transformation, crystallisation)
- Fluid Systems (flow, diffusion, transport)
- Energy & Field Systems (waves, charge, light)
- Biological Systems (growth, response, adaptation)
Important note
The simplified experiments are already live as foundational entry points.
The upcoming posts will not repeat them, but instead:
Expand each one into a structured Science Deconvolution system model
What you will gain from the full series
By the end of the set, you will be able to:
- Interpret Experiments As Systems
- Identify Hidden Variables And Constraints
- Understand Cross-Topic Scientific Connections
- Move From Observation → Explanation → System Modelling
FINAL IDEA
This series is built around one principle:
Science becomes clearer when you stop seeing separate topics and start seeing interacting systems