Varanasi,

07 Aug (HS): A recent study conducted by the Indian Institute of Technology

(Banaras Hindu University), has provided a scientific affirmation of the

reliability and statistical integrity of Random Number Generators (RNGs)

employed in online card games. The research was led by Dr. Bhaskar Biswas,

Professor and Head of the Department of Computer Science & Engineering at

IIT-BHU, and his team. They deployed internationally accepted methodologies to

assess the randomness and fairness of card shuffling algorithms using real

gameplay data.

“These

results demonstrate a high level of statistical conformity and provide

reassurance about the robustness of RNG implementations in digital card games,”

said Dr. Bhaskar Biswas. “In games such as online rummy, the underlying

randomness must be beyond reproach. Our analysis shows that, when properly

implemented, RNGs can uphold the core principles of fairness and

unpredictability.”

The

study used the ‘Dieharder’ statistical test suite, a globally recognized benchmark

for evaluating RNG quality, to evaluate thousands of card distribution

sequences drawn from historical gameplay logs. Researchers rigorously tested

three months of non-Personally Identifiable Information (non-PII) gameplay data

obtained from RummyCulture, one of India’s leading online skill-based gaming

platforms and the flagship platform of Gameskraft. The analysis spanned both

53-card and 106-card game formats, examining the RNG output across multiple

dimensions of randomness including uniformity, independence, and

unpredictability.

Key

findings from the study include:

For

53-card games, RNGs passed 97.34% of all Dieharder tests and for 106-card

games, RNGs passed 98.25% of the tests.

P-value

distributions, an indicator of randomness quality, were found to be largely

uniform across both formats, with only slight clustering in edge ranges

(0.0–0.1 and 0.9–1.0), which is consistent with theoretical expectations in

truly random datasets.

This

marked a pioneering moment for RummyCulture, making it the first instance in

the skill based Real Money Gaming (RMG) and the broader global gaming ecosystem

where an independent academic institution reviewed actual game data.

The

IIT-BHU team validated the RNGs using Dieharder’s extensive suite, which

includes tests such as:

Birthday

Spacing Test (to detect duplicate values in subsets),

Bitstream

and Rank Tests (to verify bit-level randomness),

Parking

Lot and Minimum Distance Tests (to simulate spatial distribution),

DNA

and OPSO/OQSO Tests (for detecting overlapping sequence anomalies).

Each

of these tests was applied repeatedly with large datasets, and the results

consistently affirmed the absence of bias or predictability in the number

sequences generated. Importantly, the report stresses the regulatory relevance

of these findings. RNGs in digital games are often subject to audits and

certification under frameworks like the NIST standards and the British Remote

Technical Standards (RTS). The IIT-BHU analysis confirms that the RNG systems

studied meet the statistical expectations laid out by these international

benchmarks. This independent study reaffirms RummyCulture's long-standing

commitment to fair play, including prior RNG certifications from globally

competent authorities like iTech Labs(ISO 17025 certified), whose tests have

also affirmed unpredictability, non-repeatability, and uniform distribution,

consistent with Marsaglia's 'diehard' tests for statistical randomness. Reports

like these are essential for upholding ethical standards, building user

confidence, and ensuring the long-term sustainability of the expanding online

gaming industry.

Hindusthan Samachar / Abhishek Awasthi