Laetus

Luck Research Experiment

This experiment explores whether "luck" has measurable patterns over time — and whether it can be detected, analyzed, and used.

🟢 Active Experiment

Experiment #2 is currently collecting live data across multiple international lotteries.

All completed rounds, statistics, and prize results are published on the live experiment page.

View Live Experiment →

We analyze correlations between user activity, Luck Index, and external factors such as time and behavioral patterns.

How it works

1. Users generate virtual bets
2. System tracks behavior and calculates Luck Index
3. Patterns are analyzed over time
4. Selected combinations are tested in real systems
5. Results are published publicly

Experiment Structure

• Experiments are conducted in rounds

• Each round contributes to the dataset

• Results improve the next iteration

Experiment Timeline

Experiment #2

Status: Active

Behavioral research across multiple international lotteries with public live tracking and reward distribution.

View Live Results →

Experiment #1 established the baseline infrastructure and validated the complete experimental workflow before launching the larger-scale public study.

Phase: Initial validation experiment

Period: March 27 – April 14, 2026

Format: 23 consecutive rounds

Status: Completed

Total Rounds: 23

Wins: 1

Losses: 22

Total Won: $13.33

View detailed results →

Laetus Points

Total Points: 6720

Points represent participation and determine reward distribution.

Reward Distribution

Experiment #2 has recorded its first winning ticket.

As described in the experiment rules, all winnings are accumulated and later distributed according to final Laetus Points ownership.

Long-term Vision

Each completed experiment expands a growing longitudinal dataset describing human decision-making under uncertainty, behavioral patterns, and Luck Index dynamics.

Rather than focusing on individual lottery outcomes, the long-term goal is to study whether meaningful statistical or behavioral signals emerge over time.