ON
← Back to feed
Seven Perfect Shuffles Randomize a Deck of Cards. But How Many Sloppy Ones?
United States🔬 Science16 days ago

Seven Perfect Shuffles Randomize a Deck of Cards. But How Many Sloppy Ones?

Mathematicians previously demonstrated that seven perfect riffle shuffles are sufficient to randomize a standard deck of cards. However, this result was based on idealized conditions. New research by Mark Sellke, Jialu Shi, and Jiamin Wang extends this finding to less precise shuffling methods, showing that a similar 'cutoff phenomenon' occurs even when the deck isn't split evenly.

Go to the primary sources (1)

The official sources this coverage is built on. Read them directly to bypass framing.

1 reports

Quanta Magazine logoQuanta MagazineIndependentCenterFactual 98Objective 9716 days ago
Seven Perfect Shuffles Randomize a Deck of Cards. But How Many Sloppy Ones?

Mathematicians previously demonstrated that seven perfect riffle shuffles are sufficient to randomize a standard deck of cards. However, this result was based on idealized conditions. New research by Mark Sellke, Jialu Shi, and Jiamin Wang extends this finding to less precise shuffling methods, showing that a similar 'cutoff phenomenon' occurs even when the deck isn't split evenly.

Bias read (Center): The article discusses a mathematical discovery related to card shuffling techniques. It presents findings from academic researchers without overt ideological framing, focusing on technical details rather than political implications. The content is neutral in tone and does not favor any particular立场.

Why these scores (Factual 98 · Objective 97): The article accurately summarizes the research findings, citing specific mathematicians and their contributions. It provides proper context about the original 1992 proof and the new extension of the cutoff phenomenon. The language remains largely neutral and avoids bias.

Keep the news honest.

ObjectiveNews is reader-funded and ad-free — we show you the bias instead of hiding it. Support independent journalism for €5/month.

Become a Supporter

Related stories