CLOSE

Mister Rogers' Epic 9-Part, 4.5-Hour Interview

In 1999, Karen Herman interviewed Fred Rogers for the Archive of American Television. The resulting nine-part (roughly four-and-a-half hour) interview spans the career of the man we've come to know as Mister Rogers. Throughout, Rogers conveys the same gentle, honest wisdom we all expect from the best neighbor ever. It's truly a joy to see such a thoughtful long-form discussion, and Herman truly knows her stuff (she is Director of the Archive, which is affiliated with the Academy of Television Arts & Sciences -- best known for its Emmys).

Because the interview is so long, you may want to bookmark this and enjoy it in segments over the coming week. Each segment is about half an hour long. You can also watch it with interview annotations (click the "Interview" tab below the video) on the Archive of American Television site.

The Archive puts the interview in context:

Fred Rogers (1928-2003) was interviewed for four-and-a-half hours in Pittsburgh, PA. Rogers described his work as the creator and host of Mister Rogers’ Neighborhood, which began its run in 1968. He described the show’s evolution, which started with Mister Rogers which he produced in Canada for the CBC. He described each aspect of the show including the origin of his trademark sweaters. He described his early years in television working as a floor manager for NBC on such shows as NBC Opera Theatre, The Kate Smith Hour, and The Gabby Hayes Show. He detailed his move into public television in 1953 with his work as the program director for WQED, Pittsburgh. He described his first children’s program The Children’s Corner (1954-61 WQED; 1955-56 NBC), which introduced several puppets later used on Mister Rogers. He talked about the importance of children’s programming and his longevity as a childrens’ show host. The interview was conducted by Karen Herman on July 22, 1999.

Part 1

"In those days you didn't speak your feelings as much as express them artistically. ... And so I was always able to cry or laugh or say I was angry through the tips of my fingers...on the piano."

Part 2

"I saw this new thing called television, and I saw people throwing pies in each other's faces, and I thought, this could be a wonderful tool for education! Why is it being used this way? So I said to my parents, 'You know, I don't think I'll go into seminary right away. I think I'll go into television.'"

Part 3

On producing his first show, "The Children's Corner" for the CBC.

Part 4

"Deep and simple are far, far more important than shallow and complicated and fancy."

Part 5

How the first "Mister Rogers" show, "Children's Corner," came to NBC.

Part 6

How the show was put together in the US based on work done previously in Canada for the CBC.

Part 7

Lots of topics here, but most gripping is his discussion of the special episode after RFK's assassination. To parents: "The best you can do is to include your children in your own ways of dealing with grief, because your children will know anyway, without you saying anything, how you're feeling."

Part 8

Funding the show; TV's responsibility to children; his visit to the Soviet Union.

Part 9

Parodies of Mister Rogers; fame; music; retirement; and death.

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

Original image
Stephen Missal
crime
arrow
New Evidence Emerges in Norway’s Most Famous Unsolved Murder Case
May 22, 2017
Original image
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]

SECTIONS
BIG QUESTIONS
BIG QUESTIONS
JOB SECRETS
QUIZZES
WORLD WAR 1
SMART SHOPPING
STONES, BONES, & WRECKS
#TBT
THE PRESIDENTS
WORDS
RETROBITUARIES