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You are at:Home » How Many Dachshunds Would It Take to Travel to the Moon?
How Many Dachshunds Would It Take to Travel to the
Science April 24, 2026

How Many Dachshunds Would It Take to Travel to the Moon?

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New Scientist - Your go-to source for the latest in science news, technology advancements, health updates, and environmental issues.

Feedback is New Scientist. As a popular platform for those keen on the latest in science and technology, we welcome your insights. To share feedback on topics that interest our readers, please contact us at feedback@newscientist.com.

Moon Wandering

The Artemis II mission recently made headlines as its crew successfully orbited the Moon and returned to Earth. This mission has sparked a variety of discussions—some lighthearted, others intriguing.

Notably, Artemis II achieved a record distance of 406,771 kilometers from Earth—an unprecedented journey. Reader Helen von den Steinen humorously noted the “quirky units of measurement” used in the U.S., sharing a comparison to dachshunds to illustrate this vast distance.

“Lining up 22-inch dachshunds nose to tail would require nearly 728 million well-behaved dogs,” she reported, clarifying that there are only about 900 million dogs globally.

Taking it a step further, the discussion turned to the length of time necessary for a dachshund to walk that distance. “At a brisk pace of 3 miles per hour, it would take over 84,000 hours—equivalent to nearly a decade of walking,” they concluded, even considering constructing “a chain of 2.37 billion Nathan’s Famous hot dogs” to span the distance.

Helen praised the transition between the ‘live dog’ and the ‘hot dog’ as an entertaining comparison. Feedback continues to explore the variability in dachshund sizes and whether that impacts such measurements. Additionally, it was suggested to start with familiar structures like San Francisco’s Golden Gate Bridge to explain monumental distances more effectively.

We also noticed discussions online questioning the authenticity of Artemis II, with some speculating that the crew may have merely been “isolated in a luxury hotel” during the whole mission, as humorously insinuated by screenwriter James Delingpole.

Shifting topics, reader Richard Simmons revisited a prior discussion on the Moon’s composition. He humorously theorized about the Moon being made of cheese, eventually settling on Ceres-sur-Cher, a French cheese that, according to Richard, mirrors the Moon’s surface in color and texture.

Lots of Marathons

In a previous exchange about the term “shed load,” reader F. Ian Lamb introduced “intrinsic relative scaling units,” or ERS units. This concept suggests that such measurements are dependent on context and perception.

Reader Andrew Winkley elaborated on the idea of marathons. While the official distance of a marathon is 42.195 kilometers (26.22 miles), as established in the 1920s, it has broader implications beyond running. Terms like “24-hour dance marathon” or “marathon study session” show that the notion of a marathon can be subjective and activity-dependent.

Declassified Insights

The limitations of AI are well recognized, and informed users are mindful about its applications. A recent study by reporter Matthew Sparks revealed an intriguing use of AI for classifying government documents. The paper, titled Search Advanced Classification for Confidential Documents, discusses the labor-intensive nature of document categorization.

The researchers tested their AI model on U.S. diplomatic cables previously released by WikiLeaks, achieving a 96% accuracy rate in categorizing them as “unclassified” or “classified.”

However, Matt raised crucial concerns: a 96% accuracy rate translates to a potential leak of 4% of top-secret information. Feedback poses important questions regarding AI’s performance compared to skilled humans and the potential biases in classification, especially regarding government documents.

In closing, the use of AI for sensitive classifications raises essential discussions around the balance of efficiency and security.

Have a story for Feedback?

Feel free to share your article with us at feedback@newscientist.com. Don’t forget to include your home address. You can find this week’s and previous feedback on our website.

Source: www.newscientist.com

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