🔬 Beekeeping Research Methodology & Experimental Design Lab
An interactive apiary field-trial simulator: randomise or cluster hive assignment, dial replication and effect size, and watch a live results chart show how design choices bias or clarify honey-yield findings.
A 3D apiary field trial where you assign hives to control and treatment groups, then watch a live results chart reveal how randomisation, replication and confounding variables shape what a study can honestly conclude.
🔬 What It Demonstrates
Hives sit on a field with a hidden forage-quality gradient. Clustering treatment hives on the richer side inflates the observed effect; randomised assignment cancels that bias out on average, letting replication and noise decide whether the effect is detectable.
🎮 How to Use
Switch between Randomised and Clustered assignment, then adjust replicates, the true treatment effect, the field's confound strength and colony-to-colony noise. Run new trials to see the bar chart, bias and t-statistic shift.
💡 Did You Know?
Randomisation doesn't eliminate confounding in any single trial — it only guarantees that, averaged over many trials, confounds don't systematically favour one group, which is why pre-registered, replicated designs matter so much in field research.
An interactive apiary field-trial simulator: randomise or cluster hive assignment, dial replication and effect size, and watch a live results chart show how design choices bias or clarify honey-yield findings.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install