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Library of Congress

15 Fun Phrases Popularized During Prohibition

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Library of Congress

Prohibition ended in 1933, but the colorful colloquialisms it brought about will live on forever.

1. Blind pig

An illegal drinking establishment, a.k.a. a speakeasy, that attempted to evade police detection by charging patrons a fee to gaze upon some sort of exotic creature (i.e. a blind pig) and be given a complimentary cocktail upon entrance. Also known as a blind tiger.

2. Juice joint

Yet another term for an illegal drinking establishment.

3. Jake walk

A paralysis or loss of muscle control in the hands and feet, due to an overconsumption of Jamaican ginger, a.k.a. Jake, a legal substance with an alcoholic base. The numbness led sufferers to walk with a distinct gait that was also known as Jake leg or Jake foot.

4. Ombibulous

A term made up by writer H.L. Mencken to describe his love of alcohol; he noted, “I'm ombibulous. I drink every known alcoholic drink and enjoy them all.” Mencken was also fond of referring to bootleggers as “booticians” and is alleged to have invented the term “boozehound.” 

5. Skid road

A precursor to the term “Skid Row,” a skid road was the place where loggers hauled their goods. During Prohibition, these “roads” became popular meeting places for bootleggers.

6. Brick of wine

Oenophiles looking to get their vino fix could do so by simply adding water to a dehydrated block of juice, which would become wine. (And you thought a box of wine was bad!)

7. Bathtub gin

A homemade—and often poorly made—gin that was preferably served in a bottle so tall that it could not be mixed with water from a sink tap, so was mixed in a bathtub instead. Though the phrase references gin specifically, it came to be used as a general term for any type of cheap homemade booze.

8. White lightning

The whiskey equivalent of bathtub gin; a highly potent, illegally made, and poor-quality spirit.

9. Teetotaler

A person who abstains from the consumption of alcohol. The phrase is believe to have originated within the Prohibition era’s temperance societies, where members would add a “T” to their signatures to indicate total abstinence (T+total-ers). 

10. Dry

A noun used in reference to a man or woman who is opposed to the legal sale of alcoholic beverages. Bureau of Prohibition agents were often referred to as Dry Agents (though corruption among this crew ran rampant). As an adjective, it describes a place where alcohol is not served. 

11. Wet

The opposite of dry, a wet is a person who is for the legal sale of alcoholic beverages or a place where liquor is in full supply.

12. Whale

A heavy drinker. 

13. Blotto

Extremely drunk, often to the point of unconsciousness.

14. Hooch

Low-quality liquor, usually whiskey. The term originated in the late 1800s as a shortened version of “Hoochinoo,” a distilled beverage from Alaska that became popular during the Klondike gold rush. The phrase came back into heavy use in the 1920s. 

15. Giggle water

An alcoholic beverage.

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iStock // Ekaterina Minaeva
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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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May 23, 2017
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