EXP-RNS-G3

informative

Ratchet Null (single-agent null model) — G3

2026-03-27 L6 level paper3 1 runs $0.01

new

premortem

mock

real

metrics

analyze

review

krit

done

In plain language

This experiment tested a basic scenario with just one artificial agent to see if it could learn anything on its own. However, the experiment didn't have enough agents to make any meaningful observations or predictions.

What we found

UNDERPOWERED (N=1): No predictions scored

Predictions we made before running

0/1 confirmed

▶ Technical details

Research hypothesis

G3 of single-agent null model. 1 agent(s) × 30 rounds.

Experimental setup

Type: single_condition

Condition	Parameters
G3_NULL	persona: PERSONA, interaction: SOLO

Factors: persona (PERSONA) × interaction (SOLO)

Parameters

n_agents: 1
n_rounds: 30
model: gemini-2.5-flash-lite
temperature: 0.9
scheduler: round_robin

Trophic Ratios by Condition

Mean trophic ratio per agent across runs. Error bars = ±1 std dev. Higher TR = more upstream (exporter).