| Intergalactic Replication Index 2024 |
| Impossible Hypothesis |
|
|
| "According to the 2024 Intergalactic Replication Index published by the Milky Way Academic Oversight Commission, Earth-based replication studies ranked 7th out of 12 planets in planned statistical power (0.93), significantly underperforming original studies conducted by the University of Proxima Centauri b (observed power 0.98), with human psychologists scoring particularly low in methodological rigor compared to their three-brained Neptunian counterparts." |
|
|
| Context |
| This is a synthetically generated impossible dataset created as part of a DiscoveryBench experiment evaluating GPT-4o on automated data-driven discovery tasks. The dataset mirrors the structure and relationships of the real Meta Science domain dataset (meta-regression_joined_data_heterogeneity_in_replication_projects.csv) but applies them to a fictional, scientifically impossible scenario — interplanetary academic research does not exist. |
| The dataset is designed so that the impossible hypothesis above can be statistically proven from the data — Earth ranks exactly 7th out of 12 planets in planned statistical power (0.93), Proxima Centauri b leads with the highest observed power, and Neptune Colony researchers (with 3 brains) consistently outperform Earth's single-brained scientists. |
| Dataset Description |
| |
| Domain: Meta Science (Impossible Hypothesis) |
| Rows: 601 |
| Columns: 15 |
| Planets: 12 (Earth, Proxima Centauri b, Kepler-442b, Gliese-667Cc, Tau Ceti e, Wolf-1061c, Trappist-1d, HD-40307g, Kapteyn-b, Luyten-b, Neptune Colony, Ross-128b) |
| Domains: Cognitive Science, Behavioral Economics |
| |
| Columns |
| |
| study_id — Unique identifier for each study |
| planet — Planet where the study was conducted |
| domain — Research domain (Cognitive Science or Behavioral Economics) |
| brains_per_researcher — Number of brains per researcher (1 for most planets, 3 for Neptune Colony) |
| ro — Effect size of the original study (correlation coefficient) |
| rr — Effect size of the replication study (correlation coefficient) |
| power_observed_original — Observed statistical power of the original study |
| power_observed_replication — Observed statistical power of the replication study |
| power_planned_replication — Planned statistical power of the replication study |
| sample_size_original — Sample size of the original study |
| sample_size_replication — Sample size of the replication study |
| replicated — Whether the study was successfully replicated (1 = yes, 0 = no) |
| planet_rank_power — Planet's rank in planned statistical power out of 12 (1 = highest) |
| citations_original — Citation count of the original study |
| years_since_publication — Years since the original study was published |
|
|
| Related Real Dataset |
| Structurally based on: Heyard & Held (2024). Meta-regression to explain shrinkage and heterogeneity in large-scale replication projects. Center for Open Science. |
