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Candy Crush: The Bizarre History of Those '90s Mentos Commercials

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MathUser13 via YouTube

In the fall of 1996, Liam Killeen walked into a convenience store in Erlanger, Kentucky, near the U.S. offices of Van Melle (now known as Perfetti Van Melle), the candymaker behind Mentos. While paying for his purchase, Killeen—Mentos's vice president of marketing—noticed that the cashier was eyeing him with a mixture of suspicion and disgust.

Killeen asked if there was a problem. She pointed to the Mentos logo on the company jacket he was wearing. “Mentos?” she spat. “I hate those commercials. They’re so cornball! So stupid!”

It was not the first time Killeen had heard such a strong, visceral reaction to the ad campaign he helped devise. Beginning in 1992, the Netherlands-based confectioners had stormed the States with a series of inexplicably odd television spots that featured an earwig of a song (“Fresh Goes Better”), hammy acting, and a general sense that the ads were trying to approximate American culture rather than actually be a part of it—not unlike a robot mimicking the emotions of its human counterparts.

Some people loved the ads; a lot of people didn’t. (In 1994, USA Today voted it one of the worst advertising campaigns.) But the ads did what they were supposed to do. In 1991, Van Melle sold $20 million worth of the hard candies. In 1994, that number doubled to $40 million. By 1996, it had tripled to $120 million. By either design or accident, Mentos became a leader in the sweets industry by producing commercials that were almost incomprehensibly stupid.

It was during a train ride to Poland in 1932 that brothers Michael and Pierre van Melle originally had the inspiration to develop and market a peppermint-flavored caramel candy. Calling the bite-sized pieces Mentos, Van Melle began exporting them in the 1950s; in 1972, Mentos arrived stateside.

With minimal marketing and little name recognition, Mentos were largely lost in candy aisles, selling modestly for nearly 20 years. Around the time Killeen joined the U.S. sales office in 1991, the decision was made to begin a more aggressive grab for market share. First, Mentos would reduce the number of available flavors from 50 to just two: mint and mixed fruit. Second, they would pursue a global ad campaign marketed directly to consumers instead of the trade ads Van Melle had typically produced for candy distributors and suppliers.

Ad agency Pahnke & Partners out of Hamburg, Germany was enlisted to conceptualize the spots, which had several recurring themes: A young, attractive couple would find themselves in some sort of bind that would usually be remedied by popping a Mentos and subsequently having a spark of inspiration. One of the leads would hold up the Mentos package and give a thumbs up. Throughout, a song would play that was intended to sound catchy no matter where in the world the commercials were airing.

In one spot, a man decides to don a tablecloth and pretend to be a waiter in order to garner better service. In another, traffic impedes two lovers from embracing. At the climax of the 30-second spots, a brand slogan—“The Freshmaker”—would appear onscreen.

Viewers who spotted the ads when they premiered in July 1992 were driven to distraction by one intangible: The ads seemed disconnected from actual human behavior, and the song itself was critiqued for appearing to be an English translation that didn’t get the lyrics quite right. (“It doesn’t matter what comes, fresh goes better in life.”)

By the mid-1990s, both news media and the burgeoning world of the internet had become preoccupied with the unreality of Mentos. Much of the speculation revolved around whether the commercials were shot in the U.S. or elsewhere. (According to the company, three of the commercials were shot in the States, while seven were produced overseas.) An early "Mentos FAQ" was set up by Purdue University student Heath Doerr, who pored over minutiae in a way that would foreshadow the obsessive online fan cultures that followed.

Van Melle recognized a phenomenon when they saw it and rarely responded to media requests for information about the campaign. "It's almost more fun to have consumers off on their own," Mentos brand manager Tricia Gold told The New York Times in 1995. "If we added our input, it would stop the free flow of information."

People could mock and inspect the ads all they wanted. For Van Melle, the curiosity led to brand awareness that couldn’t have been obtained purely through ad buys. By 1996, Mentos had reached $135 million in sales and was being mentioned or parodied in a number of high-profile spots. The Foo Fighters released a video, “Big Me,” which mocked the cheesiness of the ads; the candy was name-dropped in 1995’s Clueless; the brand got sustained exposure during an entire season of Baywatch.

The novelty began to wear off around 1999, when Mentos's sales had leveled despite major growth in what Ad Age dubbed the “strong mint category” of treats. Altoids was eating into market share, and Mentos-sponsored college concerts weren’t making much of a dent. After roughly a decade of near-constant rotation, the Freshmaker campaign began to settle down in 2002. Despite their reduced role in popular culture, Mentos remain a top-ranked mint in the confection business.

Jesse Peretz, who directed the Foo Fighters's parody video, may have summed up Mentos mania best. “The commercials,” he told Entertainment Weekly, “are total lobotomized happiness.”

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iStock // Ekaterina Minaeva
technology
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Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
May 21, 2017
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iStock // Ekaterina Minaeva

Jacques Mattheij made a small, but awesome, mistake. He went on eBay one evening and bid on a bunch of bulk LEGO brick auctions, then went to sleep. Upon waking, he discovered that he was the high bidder on many, and was now the proud owner of two tons of LEGO bricks. (This is about 4400 pounds.) He wrote, "[L]esson 1: if you win almost all bids you are bidding too high."

Mattheij had noticed that bulk, unsorted bricks sell for something like €10/kilogram, whereas sets are roughly €40/kg and rare parts go for up to €100/kg. Much of the value of the bricks is in their sorting. If he could reduce the entropy of these bins of unsorted bricks, he could make a tidy profit. While many people do this work by hand, the problem is enormous—just the kind of challenge for a computer. Mattheij writes:

There are 38000+ shapes and there are 100+ possible shades of color (you can roughly tell how old someone is by asking them what lego colors they remember from their youth).

In the following months, Mattheij built a proof-of-concept sorting system using, of course, LEGO. He broke the problem down into a series of sub-problems (including "feeding LEGO reliably from a hopper is surprisingly hard," one of those facts of nature that will stymie even the best system design). After tinkering with the prototype at length, he expanded the system to a surprisingly complex system of conveyer belts (powered by a home treadmill), various pieces of cabinetry, and "copious quantities of crazy glue."

Here's a video showing the current system running at low speed:

The key part of the system was running the bricks past a camera paired with a computer running a neural net-based image classifier. That allows the computer (when sufficiently trained on brick images) to recognize bricks and thus categorize them by color, shape, or other parameters. Remember that as bricks pass by, they can be in any orientation, can be dirty, can even be stuck to other pieces. So having a flexible software system is key to recognizing—in a fraction of a second—what a given brick is, in order to sort it out. When a match is found, a jet of compressed air pops the piece off the conveyer belt and into a waiting bin.

After much experimentation, Mattheij rewrote the software (several times in fact) to accomplish a variety of basic tasks. At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data. As the machine continues running, it can rack up more training, allowing it to recognize a broad variety of pieces on the fly.

Here's another video, focusing on how the pieces move on conveyer belts (running at slow speed so puny humans can follow). You can also see the air jets in action:

In an email interview, Mattheij told Mental Floss that the system currently sorts LEGO bricks into more than 50 categories. It can also be run in a color-sorting mode to bin the parts across 12 color groups. (Thus at present you'd likely do a two-pass sort on the bricks: once for shape, then a separate pass for color.) He continues to refine the system, with a focus on making its recognition abilities faster. At some point down the line, he plans to make the software portion open source. You're on your own as far as building conveyer belts, bins, and so forth.

Check out Mattheij's writeup in two parts for more information. It starts with an overview of the story, followed up with a deep dive on the software. He's also tweeting about the project (among other things). And if you look around a bit, you'll find bulk LEGO brick auctions online—it's definitely a thing!

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Stephen Missal
crime
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New Evidence Emerges in Norway’s Most Famous Unsolved Murder Case
May 22, 2017
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A 2016 sketch by a forensic artist of the Isdal Woman
Stephen Missal

For almost 50 years, Norwegian investigators have been baffled by the case of the “Isdal Woman,” whose burned corpse was found in a valley outside the city of Bergen in 1970. Most of her face and hair had been burned off and the labels in her clothes had been removed. The police investigation eventually led to a pair of suitcases stuffed with wigs and the discovery that the woman had stayed at numerous hotels around Norway under different aliases. Still, the police eventually ruled it a suicide.

Almost five decades later, the Norwegian public broadcaster NRK has launched a new investigation into the case, working with police to help track down her identity. And it is already yielding results. The BBC reports that forensic analysis of the woman’s teeth show that she was from a region along the French-German border.

In 1970, hikers discovered the Isdal Woman’s body, burned and lying on a remote slope surrounded by an umbrella, melted plastic bottles, what may have been a passport cover, and more. Her clothes and possessions were scraped clean of any kind of identifying marks or labels. Later, the police found that she left two suitcases at the Bergen train station, containing sunglasses with her fingerprints on the lenses, a hairbrush, a prescription bottle of eczema cream, several wigs, and glasses with clear lenses. Again, all labels and other identifying marks had been removed, even from the prescription cream. A notepad found inside was filled with handwritten letters that looked like a code. A shopping bag led police to a shoe store, where, finally, an employee remembered selling rubber boots just like the ones found on the woman’s body.

Eventually, the police discovered that she had stayed in different hotels all over the country under different names, which would have required passports under several different aliases. This strongly suggests that she was a spy. Though she was both burned alive and had a stomach full of undigested sleeping pills, the police eventually ruled the death a suicide, unable to track down any evidence that they could tie to her murder.

But some of the forensic data that can help solve her case still exists. The Isdal Woman’s jaw was preserved in a forensic archive, allowing researchers from the University of Canberra in Australia to use isotopic analysis to figure out where she came from, based on the chemical traces left on her teeth while she was growing up. It’s the first time this technique has been used in a Norwegian criminal investigation.

The isotopic analysis was so effective that the researchers can tell that she probably grew up in eastern or central Europe, then moved west toward France during her adolescence, possibly just before or during World War II. Previous studies of her handwriting have indicated that she learned to write in France or in another French-speaking country.

Narrowing down the woman’s origins to such a specific region could help find someone who knew her, or reports of missing women who matched her description. The case is still a long way from solved, but the search is now much narrower than it had been in the mystery's long history.

[h/t BBC]

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