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11 Idioms for Exhausted from Across the United States

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Just because you’re tired doesn’t mean your language has to be. With some help from our friends at the Dictionary of American Regional English (DARE), we’ve come up with 11 “tired” regional idioms for the next time you’re feeling all-gone, dragged out, done in, or just plain dusted.


A phrase that means totally done in or hanging by a thread. Variations include all in but one’s shoelaces and all in but one’s bootstraps. This term is chiefly used in the North with quotes in DARE from Wisconsin, Vermont, Illinois, New York, and Washington.


This North Central and Upper Midwest expression means “to fail, grow weak or tired, come to nothing.” DARE notes that the “pooh” part might be a corruption of poop. Poop (out), meaning to break down or stop working, originated in the late 1920s, according to the Oxford English Dictionary (OED). The sense of “to tire, exhaust” is from about 1931. The earliest quote in DARE of pooh out is from 1930 when the saying started as college slang and was particularly “common at Oberlin.”


While to wig out means to freak out or get overly excited, to be wagged out or waggy is the opposite. This phrase is especially used in Maine and Massachusetts. A quote from 1877 says it means to be tired or worn out, “as if finished wagging.” A quote from 1968 suggests that waggy is more akin to feeling “mental or physical distress, agitation, discomfort, or illness,” and is similar to streaked, a term used chiefly in New England.

More weary out combos include beat out (especially used in New England), given out (used in the South and South Midland), pegged out (with quotes from Maine, Vermont, Arkansas, and Maryland), and puckered out, which is an alteration of tuckered out.


The next time you’re stiff, unable to move, or just plain exhausted, you can say you’re coopered up. A 1959 quote from Vermont History says the term is “from the days of barrel making or coopering.”

Other enervated idioms that use “up” include gone up, with quotes from Illinois, Iowa, Georgia, New York, and the Mississippi Valley, and janted up, with a quote from Kentucky.


Ausgespielt is the past participle of the German ausspielen, “to play out, play to the end.” In addition to meaning “very tired,” it might refer to something “finished” or “broken,” whether literally (“The potatoes are _____” or “My sewing machine is _____”) or figuratively (“If a man loses interest in a girl and stops seeing her,” the relationship is ausgespielt), according to quotes in DARE.


If you've got a touch of the blahs, you could say you’re feeling shabby. This term you might hear in the South is Scots in origin, says DARE, while shabby—meaning dingy, worn, or faded—might come from the German schäbig, meaning, you guessed it, "shabby."


You could also say you’re feeling goopy, another term for general ickiness. It could also refer to something sticky or smeared, or weather that’s unpleasant. Another meaning for the word goopy, according to the OED, is stupid or “fatuously amorous.”


Limber doesn’t just mean flexible. In the South and South Midland, it might mean limp, weak, and exhausted, and is often used in the phrase limber as a dishrag.


You might get flaxed out from flaxing around. To flax (out) means to become tired or weary, while flax (around) means to hurry and bustle. Flax (out) has quotes from New England and Ohio, and flax (around) is chiefly used in the North and especially New England.


White-eyed, meaning exhausted or worn out, might mainly be heard in the Appalachians. A quote from the Dictionary of Smoky Mountain English says the phrase “began as a description of one who became faint from fieldwork in the sun and gets pale around the eyes and mouth.”


Feeling indisposed? Out of sorts? Exhausted? You could say you’re feeling like you were sent for and couldn’t come. Used especially in the South and South Midland states, one 1993 quote likened the phrase to “what younger people nowadays call ‘a bad hair day.’”

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iStock // Ekaterina Minaeva
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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Nick Briggs/Comic Relief
What Happened to Jamie and Aurelia From Love Actually?
May 26, 2017
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Nick Briggs/Comic Relief

Fans of the romantic-comedy Love Actually recently got a bonus reunion in the form of Red Nose Day Actually, a short charity special that gave audiences a peek at where their favorite characters ended up almost 15 years later.

One of the most improbable pairings from the original film was between Jamie (Colin Firth) and Aurelia (Lúcia Moniz), who fell in love despite almost no shared vocabulary. Jamie is English, and Aurelia is Portuguese, and they know just enough of each other’s native tongues for Jamie to propose and Aurelia to accept.

A decade and a half on, they have both improved their knowledge of each other’s languages—if not perfectly, in Jamie’s case. But apparently, their love is much stronger than his grasp on Portuguese grammar, because they’ve got three bilingual kids and another on the way. (And still enjoy having important romantic moments in the car.)

In 2015, Love Actually script editor Emma Freud revealed via Twitter what happened between Karen and Harry (Emma Thompson and Alan Rickman, who passed away last year). Most of the other couples get happy endings in the short—even if Hugh Grant's character hasn't gotten any better at dancing.

[h/t TV Guide]