SShortSingh.
Back to feed

The centuries-old reason why coins have ridged edges

0
·1 views

The ridged edges found on coins were introduced centuries ago as a measure to prevent theft of precious metals from currency. Dishonest individuals would shave or clip the edges of metal coins to collect valuable material while keeping the coins in circulation. By adding ridges, authorities could easily detect any tampering, since shaving would remove the pattern. In modern times, ridged edges serve additional purposes, including helping people identify coins by touch and improving grip. They also play a role in contemporary anti-counterfeiting efforts, making coins harder to replicate fraudulently.

Read the full story at Times of India

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
IndiaTimes of India ·

India vs England 5th T20I toss delayed after Indian team stuck in traffic

The coin toss for the fifth T20I between India and England at Southampton's Rose Bowl was delayed due to an unexpected reason. The Indian team got caught in traffic while travelling to the venue, pushing back the scheduled start. Live visuals later confirmed the team had arrived at the ground. The toss was rescheduled for 7:15 PM IST, with the match set to begin at 7:30 PM IST. No further delays were announced at the time of the update.

0
IndiaTimes of India ·

Kevin O'Leary flags AI adoption and data centers as top opportunities for young entrepreneurs

Shark Tank investor Kevin O'Leary has advised young people to focus on two key areas: helping small businesses adopt AI tools and developing data center infrastructure. He believes both sectors hold significant growth potential in the coming years. Many smaller companies currently lack the expertise needed to implement AI effectively, creating a clear service opportunity. Meanwhile, data center construction is struggling to keep pace with surging demand for AI infrastructure. This gap is already attracting substantial investment into AI-related infrastructure projects.