San Francisco's Church of 8 Wheels was almost razed. Now it's reopening at a reduced capacity. sfgate.com/sf-culture/art…
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📅︎ Nov 06 2020
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San Francisco's Church of 8 Wheels was almost razed. Now it's reopening at a reduced capacity. sfgate.com/sf-culture/art…
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📰︎ r/bayarea
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📅︎ Nov 06 2020
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Church of 8 Wheels is reopening at limited capacity with new sanitation features sfgate.com/sf-culture/art…
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📅︎ Nov 07 2020
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Church of 8 Wheels Redilicious Skates
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📅︎ Jul 14 2020
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Church of 8 Wheels may be bulldozed for development datebook.sfchronicle.com/…
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📅︎ Mar 08 2020
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Church of 8 Wheels may be bulldozed for development datebook.sfchronicle.com/…
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📰︎ r/bayarea
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📅︎ Mar 08 2020
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The church of 8 wheels in San Francisco. Its an old church converted into a skating rink.
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👤︎ u/minniex77
📅︎ Sep 24 2019
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Otis McDonald | Church of 8 Wheels youtube.com/attribution_l…
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👤︎ u/mssol
📅︎ Jun 24 2019
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Sister Rampage from the Church of the 8 Wheels in San Francisco for the Pride Parade [OC] [1367x2048]
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📰︎ r/HumanPorn
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📅︎ Feb 08 2018
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Looking for black-owned newbie skates! Reviews on Church of 8?

Hi! I’m new to this sub so please let me know if this is against the rules - hopefully this isn’t too generic of a question!

I’m trying to buy a first pair of skates - I used to skate all the time when I was little but it’s probably been two years since I’ve been on a rink now! I really want to buy black-owned but I’m also 1) very impatient and don’t want to order pre-sale and 2) have pretty large feet for a woman (11) which tends to limit my options!

Has anyone had experience with Church of 8 skates? They seem to match my criteria pretty well but I can’t tell how high the toe stop is. I’d change out the wheels for some outdoor work. Any general thoughts would be appreciated!

Here’s a link in case that helps :) Thanks so much! https://www.rolligion.store/product-page/church-of-8-wheels-redilicious-skates

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📅︎ Jan 14 2021
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Black skaters, Black-owned businesses and stories to follow and support

I posted this as a comment over on the Black Lives Matter sticky, but I want this to be it's own post so it reaches as many people as possible. If you have more businesses and skaters you'd like to add, please comment below and I'll add them to this list! ^Looking ^especially ^hard ^for ^women ^or ^NB ^skaters!!


Trying to find information about Black skaters on Google is plain difficult and sad, I’d say over 90% of results are listings for buying black skates, or stock images of Black people skating. It goes to show how little representation the sport offers Black culture, when Black culture and music is so deeply integrated into the sport.


Here's a list of Black skaters, Black-owned businesses and stories to follow and support:

>Before the rest of the world knew who they were, the pioneers of rap, including Dr. Dre, Queen Latifa, and N.W.A., got their starts performing in rinks, Skateland, a well-known rink in Northridge, was the venue for a memorable N.W.A performance later depicted in the biopic Straight Outta Compton. Source.

... keep reading on reddit ➡

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👤︎ u/p3p3ron
📅︎ Jun 16 2020
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8 second rule for wheels

i just bought some new light up hybrid wheels from church of 8 wheels. i usually go by the rule that the wheels should freely spin for about 8 seconds. these don’t, and i can’t even loosen them a lot without them wiggling around. i’m using the bearings that came with my moxie gummies for these and i never had a problem with those spinning. i tried them on my wood floors and i could move around fine but i have very limited space so it’s hard to tell. is it a mistake on my end or is this just how light up wheels are?

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📅︎ Sep 22 2020
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Places to ~get weird~ in sf

Hi guys!! Planning a bday party for my friend... theme is let’s get weird.... basically wearing whatever the hell we want and going to the weirdest places in the city, but first we are roller skating at the church of 8 wheels. Any suggestions on places nearby or around the city that would be fun to take a big group to? It’ll be around 15 of us in silly outfits looking for a good time (music, dancing, games, alcohol, etc) thanks in advance!!

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📰︎ r/AskSF
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👤︎ u/mmthmb
📅︎ Nov 11 2019
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It's here! The Bay Area Bassheads Guide to the Bay Area for Baynectar/Be Interactive

Welcome to the Guide to the Bay Area for Baynectar/Be Interactive, brought to you by the Bay Area Bassheads!

Hi guys! We're so excited to have you all visit us in beautiful Northern California (and also super fucking excited to finally have a show here, lol <3 ).

We have collaborated to put together this in-depth guide for you to use when you visit our beautiful home. We hope you love it and it helps you out immensely, and if you have any questions or need more suggestions, feel free to reach out!

At only 49 square miles, San Francisco is a small city, but don’t worry: there is no shortage of things to do and see here. Locals refer to San Francisco as “SF”, or “The City,” but never “San Fran” or “Frisco.” That’s a dead ringer for an out-of-towner and for some reason it makes native San Franciscans hella bent out of shape.

The Bay Area also includes the East Bay (Oakland, Berkeley, Albany, Richmond, San Leandro, etc.), which is a short BART ride away (more on transportation later).

The venue is located in the Tenderloin district of the city right next to the Civic Center. Please be advised: the Tenderloin is notorious for being a dangerous neighborhood. Which leads to this first and most important point…

SAFETY:

San Francisco is a beautiful city. However, you will notice quickly that there is a particularly massive homeless population here, especially in the Civic Center/Tenderloin district. A large portion of the homeless in the Bay Area are SEVERELY mentally ill and/or suffering from severe addiction. I’m gonna mom you for a bit:

PLEASE. BE. CAREFUL.

Do NOT walk anywhere alone if you can avoid it, and DEFINITELY do not walk around fucked up and making a scene. Don’t wear headphones, walk with your phone out, or walk alone. Don’t have large pieces of jewelry on that will make you a target. Mentally unstable people do some pretty jarring shit sometimes, so if you're not used to being around heavy drug addicts, it can potentially be very uncomfortable. Don’t engage, don’t taunt, be respectful. Be smart, be careful and you’ll be gucci.

Alright now back to the fun stuff.

WHAT TO WEAR:

The Bay Area’s weather is fucking weird. Ever heard the saying “the coldest winter I ever spent was a summer in San Francisco”? Well that shit is true (even if Mark Twain didn’t actually say it). It’s cold. Wear layers and close-toed shoes. It’s warmer in the East Bay than it is in SF, so if you’re staying in the East Bay and it seems super warm, t

... keep reading on reddit ➡

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📰︎ r/bassnectar
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📅︎ Sep 15 2018
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Birthday Party (20s-30s) Ideas in San Francisco?

What are some great ideas for celebrating an adult's birthday in San Francisco?

compiling the list here for easy reference :)

In San Francisco

  • Southern Pacific
  • Lawn games at Fort Mason
  • bar crawl
  • house party
  • day drinking at Anina (I'll update this thread when I hear back if you can reserve tables)
  • Arcade bar (Coin-Op in SoMa, Brewcade in the Castro, Emporium on Divis.)
  • Spin (ping-pong bar)
  • Free events at the SF Symphony
  • DIY (check out Verlocal.com, Groupon, etc.)
  • Urban Putt (although this is not great for groups, better for a date IMHO)
  • Barebottle Brewing Company in the Dogpatch (they let you bring outside food like a cake! But Yelp tells me you have to spend $50 to reserve a table)
  • Southern Pacific (tables are first come first serve)
  • Picnic at GG Park, Dolores, Duboce Park, Lafayette Park *A show at a smaller venue, ie Bottom of the Hill, the Independent, etc
  • bonfire at Ocean Beach
  • rent a private room at Banya , which I think is open to midnight. The private room would be for like....drink, music and cake or whatever and then you go down for the spa stuff
  • roller skating at Church of 8 wheels
  • Harmonic Brewery
  • AsiaSF
  • Tiki Bar
  • Drag Show
  • Escape room
  • Natoma Cabana (you can rent out the loft for 20-40 people)

Day trip

  1. wine tasting in Healdsburg
  2. wine tasting on Treasure Island
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📅︎ Feb 12 2018
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‘MAGA’ hat-wearing swordsman in SF arrested, bail set at $1 million, police say

This is the best tl;dr I could make, original reduced by 60%. (I'm a bot)


> Leor Bergland, a 30-year-old San Francisco resident, was taken into custody after officers observed him Wednesday in a restaurant near Eddy and Larkin streets in the Tenderloin, according to San Francisco police.

> Around 10 p.m. Friday, March 29, a 27-year-old Berkeley man was standing near the intersection of Fillmore and Oak streets by the Church of 8 Wheels when he saw Bergland wearing the MAGA hat, which is popular among many President Trump supporters.

> The man swatted the hat off Bergland&#039;s head, police said, prompting him to pull out a sword and cut the victim&#039;s left hand.

> Scott Sweeney, 24, said he saw Bergland about 30 minutes before the attack wearing the hat and carrying the sword tucked into the back of his jacket.

> &quot;In my mind, I didn&#039;t think it was a real sword until we came out later and police were on the scene and there was blood and the hat on the ground,&quot; he said.

> Police issued conflicting reports in the days that followed on who was wearing the Make America Great Again hat.


Summary Source | FAQ | Feedback | Top keywords: Bergland^#1 police^#2 hat^#3 man^#4 sword^#5

Post found in /r/politics, /r/justneckbeardthings and /r/ArrestsWeb.

NOTICE: This thread is for discussing the submission topic. Please do not discuss the concept of the autotldr bot here.

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📰︎ r/autotldr
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👤︎ u/autotldr
📅︎ Apr 04 2019
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Surprise date night with my girlfriend

Hi SF,

I'm new to the Bay Area (East Bay) and I'm trying to plan a surprise night out for my girlfriend for our anniversary.

I'm telling her tonight that I am going to take her on a surprise trip. My plan is to go to SF and take her to some cool and unique places. Ideally, dinner, then an experience, then some sort of theme bar. I'm not very good at planning routes through a city though, so any help would be much appreciated! Here are some ideas:

Church of 8 Wheels

Mirror Maze

Something from here or here

And as for restaurants, there are so many that I don't even know where to start. We like everything- the more culturally-obscure or interesting, the better; preferably under $20 per entree though since I don't make very much and we would be glad to try something new.

Any sort of plan would be really helpful! What are your suggestions?

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📰︎ r/AskSF
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📅︎ Mar 24 2016
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Chaos and Mayhem: A Sexy Space Babes Story: part 1

This is a story set in the Sexy Space Babes universe, written by the wonderful /u/BlueFishcake. They own the whole thing, I just got permission to write in it. That said, hope you enjoy!

The Stoned Elephant wasn’t just the most popular bar in Grimmsville, Maryland. It was the only bar in Grimmsville, Maryland. It was little wonder, then, that it was the preferred hangout of old people, young people, and everybody in between.

I’d gotten off work, finally, and, well… the Stoned Elephant was the only place to go on a Friday night.

“I love this song!” some guy yelled as I parked my car. That guy must’ve been really hollering; I could hear him across two lanes of cars. Whatever. This was a bar, not a church. He could be loud if he wanted. I went inside and got my beer.

Like all the best bars, the air was choked with the smell of cigarettes and booze. I saw the college kids wooping it up with their jaeger, and the old guys in the corner playing cards as the speaker over their head played tinny Motorhead.

And then I saw him.

“Uncle Bill?” I scooted closer. “Uncle Bill!” I couldn’t believe this! William “B.J.” Judd was back!

The old badass looked over at me, and instantly a smile crawled across his face. “Tom!” he yelled. “How’re you? Still in college?”

“Nah.” I shook my head. “Grad school now. Gonna be a preschool teacher!”

“Aw, that’s great, man!” Okay, let me explain real quick. Uncle Bill wasn’t actually my uncle. He was a friend of my parents and resident capital C capital O capital G Cool Old Guy around here. He’d gone off to Vietnam back in the seventies and then never really left the army. He’d fought his way through Vietnam, Panama, Grenada, Iraq, Afghanistan, and God knew where else. Just some old badass who’d found a home.

“I thought you were still in Afghanistan.”

Uncle Bill shook his head. “Nah, they decided seventy was officially too old for that.” The silence got a little awkward after that, so I changed the subject.

“Hear about all those things astronomers found? Like… they just appeared out beyond Pluto’s orbit. Just, fuckin… they were there one day.” The astronomical community had been having a field day with them- mostly because they seemed to be slowing down. I took a sip of my beer and waved one of the waitresses over. “Put whatever he’s having on my tab.”

“Hey, thanks kid. Yeah, I saw that. I think they’re spaceships.” He took a drink of his own beer. “Ominous, right?” Soon as he said that, the lights went dark. The music

... keep reading on reddit ➡

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📰︎ r/HFY
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📅︎ Jan 11 2021
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The 19 best things to do in San Francisco, according to people who live there
  1. The best cure for a sweet tooth is a visit to Mr. Holmes Bakehouse, a bakery that's famous for its hybrid desserts and drool-worthy Instagram. We recommend the sushi croissant.
  2. Some of the best views of the Golden Gate Bridge are to be had on the rocky and windswept shoreline trails at Lands End. Wear sneakers. The hike includes many stairs.
  3. And don't miss the rock labyrinth at Lands End for a memorable photo.
  4. Forget the "Full House" home. Take a stroll down Billionaires Row in San Francisco's most exclusive neighborhood to see the homes of tech titans like Larry Ellison and Jony Ive.
  5. On Thursday nights, the California Academy of Sciences stays open late for adults-only special events. Take a yoga class in the aquarium, see the stars at the planetarium, or grab a cocktail and mingle with the nearly 46 million scientific specimens on site.
  6. Church of 8 Wheels is a roller disco like no other. On Friday and Saturday nights, skaters (many in costume) fill the rink located inside a 120-year-old former Catholic church.
  7. Allbirds, the startup behind the "world's most comfortable shoes," has a small pop-up store in Jackson Square. You can try on the wool sneakers to see if they meet the hype.
  8. GameVibes at the Folsom Street Foundry is a gamer's paradise. Thursday and Friday nights, players flock to the bar for video games, board games, and everything in between.
  9. Drink your way through history with a tour at Anchor Brewing Company, San Francisco's original craft brewery. The tour ends with a beer tasting in the taproom.
  10. Sing Alongs at the historic Castro Theater are possibly the most fun you'll have at the movies. The theater screens musicals, ranging from "Mary Poppins" to "Moana," with subtitles so the audience can join in. Dress up as your favorite character to win prizes.
  11. San Francisco may not have invented the burrito, but it arguably perfected it. Wander the Mission District for the best shopping, people-watching, and burritos the city has to offer.
  12. We recommend Papalote Mexican Grill or Taqueria Cancún for a less touristy experience.
  13. The Alemany Farmers' Market is sometimes referred to as the "people's market," for its laid-back atmosphere and low prices. It was the first farmers' market in California.
  14. It may be touristy, but happy hour at the Tonga Room & Hurricane Bar is not to be missed. Enjoy the Pacific Rim cuisine and umbrella drinks in this sprawling tiki-themed lounge.
  15. People of all faiths gather to
... keep reading on reddit ➡

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📅︎ Mar 05 2018
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The History of the Entire World, I Guess

hi.

you're on a rock floating in space.

pretty cool, huh?

some of it's water.

fuck it, actually most of it's water.

i can't even get from here to there without buying a boat.

it's sad.

i'm sad.

i miss you.

how did this happen?

a long time ago, actually never, and also now, nothing is nowhere.

when?

never.

makes sense, right?

like i said, it didn't happen.

nothing was never anywhere.

that's why it's been everywhere.

it's been so everywhere you don't need a where.

you don't even need a when.

that's how every it gets.

forget this.

i wanna be something.

go somewhere.

do something.

i want things to change.

i want to invent time and space.

and i know it's possible because everything is here and it probably already happened.

i just don't know when to start.

and that's exactly where it started.

whoah, i paused it.

i think there's a universe now.

what's it made of?

quarks & stuff

ah, that's a thing.

in a place.

don't like it?

try a new place.

at a different time™.

try to stick together, because the world is gonna get bigger.

and emptier.

but it's not empty yet.

it's still very full, and about a kjghpillion degrees.

great news!

the quarks are now happily married, in groups of three called a proton or a neutron

and there's something else flying around too that wants to join in but can't cause it's still too

HOT

great news!

the protons and neutrons are now happily married to each other.

and some of them even doubled up.

great news, the electrons have now joined in

congratulations, the world is now a bunch of gas in space.

but it's getting closer together.

and it's getting closer together.

and it's getting closer toge-

it's a star

new shit just got made!

some stars burn out and die.

bigger stars burn out and die with passion, and make some brand new, way crazier shit.

space dust

which allows newer, more interesting stars to be made, and then die, and explode into

even crazier space dust

so now stars have cool stuff around them, like rocks, ice, and funny clouds, which can make some very interesting things.

like this ball of flaming rocks for example.

holy shit, we just got hit with another ball of flaming rocks.

and it kind of made a mess.

which is

now the moon

weather update:

it's raining rocks from outer space.

weather update:

those rocks might have had water inside them, and now there's hot steam in the sky.

weather update:

cooler temperatures today, and the floor is

... keep reading on reddit ➡

👍︎ 4k
📰︎ r/copypasta
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👤︎ u/thertt8
📅︎ Dec 03 2020
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$GME: Learning from the journey

Hello brothers and sisters in GameStop. My sermon today is an examination of why some of our fellow autists have become millionaires while I continue to live in a cardboard box.

I was an early-ish follower of the $GME faith, but when tribulations came my faith was shaken. I still went to church, but my heart wasn't in it like those we look up to. We must reflect on our failures to grow as followers in Cohen.

This testimony is long (sorry). I needed to force myself to actually examine things so I don't fuck up the next opportunity for tendies. This is my penance.

TLDR: Retard examining why I made small gains off $GME despite being in months ago. I keep track of all my trades. $GME has been a rollercoaster of emotions and opportunities in a very short time, so lots to learn.

Takeaways

  1. I never truly committed or believed in the position. It remained a small % of my portfolio and I was always hedging because being down even a couple % hurt, let alone -20% swings. To find 20X return you have to invest in companies that have significant uncertainty (and volatility). That means persuasive arguments on both sides. If you lack conviction you won't be able to stay in.
  2. Follow those charts and imagine you don't know where we end up. Put yourself in that moment. Holy fuck. Am I buying the dip or catching a falling knife? This has been bumpy and uncertain. We can all pretend this was a sure thing, it wasn't. It still isn't.
  3. We've all heard Fear and Greed rule the market. Its one thing to say that. Its another to feel it and observe it in yourself. My mood on $GME has flipped from "This motherfucking boomer CEO is burning all my $" to "Fat FIRE, this year, motherfuckers" 4 times in as many months. I felt intense emotions (still feeling them during the current run). W/o acclimating to balance that out I think its impossible to make good decisions.
  4. I'm very glad I kept detailed notes on what I was doing. Write down your thoughts and reason for taking a position. Revisit these. We're all retards. But that doesn't mean we can't learn our bad habits and improve. I'm stunned looking back by how often I was paralyzed and couldn't take action.
  5. None of this was obvious. There were strong cases that the business was undervalued. It was a good bet. But it was a bet. (Blasphemy you say? The true prophet, RoaringKitty said on yesterday's stream that as June turned into July and August and no PE firm or other investors stepped in he began to w
... keep reading on reddit ➡

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📅︎ Jan 14 2021
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Analyzing the lyrics of 14,500 Country songs

I am in college studying computer science and when I watched Grady’s lyrical analysis video in late September, I knew I could use my programming skills to automate the collection of lyrics. I was able to create a web-scraping bot to find the lyrics of 14,504 country songs released from 2010-2020. Because I scraped the lyrics in late September, any music released around or after that date is not likely to have made it into the dataset.

I have created a website that shows my findings and presents all the data so you can complete your own analysis if you desire.

Before I discuss my own findings, I need to define a few terms:

  • Popularity – based on recency and number of plays a song has on Spotify.
  • Diversity – the repetitiveness of a song (mostly, I discuss this more on the about page of the website)
  • Uniqueness – how common are the words used in a song. (Ex: common: girl, uncommon: entropy)
  • Stereotype – the percentage of words in a song that are stereotypical. It is broken into six sub-categories: clothing, body, trucks, alcohol, god, lifestyle. The list of words that were deemed stereotypical can be found on the about page of the website.

Overall Trends

In general,

  • More popular songs are more stereotypical.
  • More popular songs are less diverse (more repetitive).
  • More diverse (less repetitive) songs, are more unique (less common words).

Stereotypes:

  • Overall, 3.7% of all words were stereotypical.
  • Overall, 0.1% of all words fell into the clothing sub-category.
  • Overall, 1.7% of all words fell into the body sub-category.
  • Overall, 0.5% of all words fell into the alcohol sub-category.
  • Overall, 0.5% of all words fell into the trucks sub-category.
  • Overall, 0.46% of all words fell into the god sub-category.
  • Overall, 0.4% of all words fell into the lifestyle sub-category.

I think this data proves that the stereotype of country music including words like blue jeans, boots, and cowboy hats is not true. Sure, there are songs like Old Hat by Jon Pardi where 6% of the words fall into the clothing sub-category but they are by FAR the exception, not the rule. On average only 1 out of 1000 words fall into this sub-category.

The most frequent sub-category by far was the body sub-category. Almost 1 out of every 50 words for 14,500 songs fell into this sub-category. For reference only 1 out of every 200 words fell into the alcohol sub-catego

... keep reading on reddit ➡

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📅︎ Jan 12 2021
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Doug the statistician

This goes back more than ten years ago. I got a part time job working for the county. This was in an urban area in California. My job was to call every nonprofit and church organization to ask about their after school programs for youth. It was dull but I got paid and the work wasn’t hard. I used public transportation and my bike to get to work and often arrived late. Sometimes I or c early.

One day, the project director called a staff meeting. He introduced Doug, that statistician in the protect, and told us that Doug had compiled a spreadsheet of our hours. I braced myself for a bumpy ride. But then things took a weird turn. The project leader announced that we had not logged enough hours. If he did not use all the money allotted to this project, his budget would be cut next year. I nearly fell out of my chair.

Every week after that, inflated my hours on my time sheet. As the weeks went on, I got bolder and submitted timesheets saying I worked 9.5 and 11 hour days (actually working no more than 5). Those days required overtime pay at time-and-a-half. No matter what I submitted, I never got push-back.

It was a great summer. In my off hours I practiced pottery and got moderately good on the wheel.

At the end of the project, I learned that the entire study was to produce results that would support a predetermined outcome. We were supplying data to support a use of funds, not investigating a problem to determine a solution. I learned that county government can be a refuge for the incompetent. Later in life I learned that private corporations can also be a refuge for incompetence, but my experience working a county job made a big impression on me.

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📅︎ Jan 02 2021
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Shadowverse Rotation Meta Report. January 3rd

Greetings everyone to the year 2021 and to the Eternal Awakening Expansion! I'll be giving an early meta report in a meta that seems decidedly quite fluid with a lot of things still being developed. No tournament results for now. Thus i will be working off gamewith, shadowverse-wins.com and my own experiences in general.


Forestcraft

In the great woods of Forestcraft where the fairies flitter as beasts go about their business in the deep woods. We find Tweyen being greeted by the assembled Forestcraft leaders (But Arisa who is busy staring at the wall inside of her own) and her impressive archery talent earns her much applause and even some grudging respect from Selwyn.

For Forestcraft We find Aggro Forest at the top followed by Accelerate Forest and a bit of Evo Forest. Additionally there seems to be some experimentation with Loxis in Aggro forest for a more midrange build. Though lacking a clear decklist for that. Forestcraft generally finds itself in a solid position in the current meta already with good deck diversity available to it.

Aggro Forest

The Rage of the Forests, wild, untamed and capable of unleashing savage blows against its enemies, tread carefully against this deck

An aggro deck built around a variety of strong threats. While the deck lost the Elven Pikeman, it gained Walder instead, but overall remains the same. Quite potent and able to take on other aggro decks thanks to some good disruptive tools. Some decks are going a bit slower and including more accelerate cards to take advantage of Walder. Giving the deck some flexibility in building and Tempo Forest may become a more stable individual deck in the future.

Accelerate Forest

A sudden storm from the tree tops, accelerate forests is a deck of deception and cunning blows at unsuspecting opponents

A control combo deck. While the deck did lose some supporting cards, it gained much more wit

... keep reading on reddit ➡

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📅︎ Jan 03 2021
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Take a look at the stars

I was a long haul trucker for twenty years. I saw all manner of strange and uncomfortable things along the road in those years. Animals that were so ravaged by mange that they looked like aliens limping just beside the woodline, and all manner of people walking the highways that looked in some way like those animals. I saw accidents that could have been avoided and ones that could not. I saw people having sex in their cars while they were driving, road rage that became homicides, apparent kidnappings, shadows on the road that were sleep deprived hallucinations, and billboards for churches so extreme they seemed medieval. I remember one; it said in plain black text on a white board, “Beneath this sky, the EYES of GOD are watching you.”

So simple.

And I remember one night.

My truck rattled beneath me. Tens of thousands of pounds of weight blazing forward on long stretches of empty road. I didn’t always appreciate the sheer energy, force, and power of the truck and neither did the drivers of little tin-can Prius’ and Civics that liked to play chicken with a tiger, swerving in and out of lanes and missing me and other truckers by mere feet.

On these long rides, I’d have an audiobook playing, or a podcast, and even in my boredom I would turn on whatever AM radio station I could find and listen out for the local character. It was always a preacher, a shock-jock, or calm classical music. And if I ever found myself paying too close attention to the clinking of empty energy-drink cans rolling back and forth on the passenger side floor, I would roll down both windows no matter the weather, and blast heavy metal music as loud I could to keep me from slipping away.

I was driving a haul through the almost empty roads of deep Maine that November evening. The road had been packed in a steady line all day, but slowly it thinned as vehicles pulled off on the side of the road, idling. The Sun was dipping below the treeline and the reds and oranges of the sunset between the trees looked like a brilliant fire burning in the distance. Each long shadow cast by the trees rolled over me like a steady metronome.

Tick.

Tock.

I passed a car on their right, glaring at them as I did. Two people, a man and a woman who looked like she’d just been woken up. The man pointed to the side of the road, and I watched them pull off in my rearview.

Full steam ahead.

I’ll never know why people stay in the fast lane if they are going to go slow. Many people don’t realize how dan

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📰︎ r/nosleep
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👤︎ u/JSHenri
📅︎ Jan 09 2021
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Grandpa Doesn't Sleep

That was what my mother told me one day, while picking me up from Grandma and Grandpa’s house. I often spent my summer nights there, as I happened to live in the same town as my grandparents, a luxury many other kids didn’t have. During the day, it was everything a kid could hope for: we baked cookies, ate ice cream, visited playgrounds. But at night, whenever I left the spare bedroom to get a drink of water (or take a leak), I could often glimpse Grandpa in the living room, awake in his reclining chair with the light on beside him. Spaced out while watching static flicker on the TV. It occurred to me that I’d never seen him go to bed.

After one too many 3 a.m. trips to the toilet, I finally asked my mother why Grandpa stayed awake in his chair all night. All she said was, “Grandpa just doesn’t sleep. You’ll understand when you’re older.”

By the time I was old enough to understand that my Grandpa suffered from acute and chronic insomnia, I had stopped spending much time with him. Instead, I was sixteen, a junior in high school, and way out of Felicity Alderson’s league. The only time I saw my grandparents were at holidays and funerals. It might sound cruel that I had allowed us to drift apart, that I had inadvertently cut them out of my life when we lived so close in distance, but at a certain point you become too old for playgrounds and cartoons every weekend. Besides, my grandparents were getting old and they had better things to do than look after me.

Things changed when I woke up to a phone call at two in the morning. My heart skipped a beat when I recognized my Grandma’s number, knowing intuitively that late night calls are never a good thing.

“Grandma?”

“Caleb! Oh, Caleb, please get here quick…” She was sobbing. In the background, I could hear things breaking, glass and furniture thrown and smashed. “It’s your Grandpa… he has a gun…” She dissolved into sobs, but I didn’t need to hear anymore. I told her I was on my way and hung up. I was halfway out the door when I realized I needed car keys. Having just acquired a driver’s license, I didn’t own a car, so I had to use my Dad’s. I ran into my parents’ bedroom, blurted something about going to Grandma’s, and fumbled in the dark for the car keys. The next thing I knew, I was speeding down residential streets that were completely dead, not a car among them.

It was dark, of course, but Grandma’s house was easy to spot because the lights were on. Of course they were. Grandpa doesn’t sleep.

I rushed

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📅︎ Jan 04 2021
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Crickets. Stay. Kitchen. Recap of 90DF S08E04

Welcome to another titillating 90DF recrap! If you thought the 90DF crew was going to go on hiatus due to COVID, you were mistaken, because this is front line work, so you’re going to have to start clapping for them along with the grocery store workers and long-suffering Amazon delivery crew every night at 7. Producers of television that should be studied in a lab, thank you for your service, #brave.

Natalie wakes up in Mike’s bachelor shack, freezing and on the hunt for food without fat. Mike shows her how to make French toast, and for reasons he doesn’t explain opts to foul the creation with cinnamon. While they wander around the kitchen, Natalie asks him what she’s supposed to do in the middle of nowhere, alone. Mike says she can unpack, stare into space, question her decisions, get chased by a cougar or bear through the woods, get horribly lost, and then he’ll say he did all he can. This kinda kills Natalie’s appetite, but she manages one bite of dry French toast, before heading to the fridge on the hunt for vegetables. Natalie is disappointed, because she eats healthy, and he knows it.

Natalie might be moody, but let’s take a moment to recognize that Mike is so passive aggressive that he sulks, kills the heater, and neglects to buy groceries just to express how hurt he is about a returned ring.

“Look, I’m just trying to get out of credit card debt,” Mike admits. “If I can get, I dunno, maybe one more season after this, I’ll be in much better shape for wife shopping.”

Natalie finds a lonely carrot in his refrigerator, and wraps it in a blanket and rocks it. “it’s just you and me in middle of nowhere, Mr. Carrot,” she says. “we will sit in corner together, and then I will bite your head off. I’m sorry, it must be this way.”

“I can take you into the woods to go fishing,” Mike offers. “That way you can do two things you hate at once.”

As they drive into town to look at the brick side of several restaurants with “barn” in the name, the post office, and a gas station with smokers arranged around it, living dangerously, Natalie says that she’s read about an amazing waterfall. Mike counters that this waterfall is two or three hours away, and he’d rather make it a full weekend event. Natalie falls quiet for obvious reasons, but Mike professes to be baffled anyway.

Here it is Mike: She asked to do something simple that requires four hours of driving, and you turned it into something complicated that involves a full weekend of planning, just to del

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👤︎ u/fractalfay
📅︎ Dec 29 2020
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/r/QOTSA Official Band of the Week 36: BLACK REBEL MOTORCYCLE CLUB

Take a meal and strip it down to the basics: you have a protein, a starch and a vegetable. Everything else is just sauces and spices. But the complexity of the meal depends on the interplay of all of those factors, and when you get it just right, the magic happens.

Take a car and strip it of everything that makes it safe: walls, windows, wipers, wheels...hell, even the seats and seat belts. You get a crotch rocket that is dangerous as fuck but fun as hell because of that danger.

And that bundle of auto accidents is what we call a motorcycle.

Similarly, if you strip everything away from a song down to one acoustic guitar, the song gets even better. Josh’s recent version of Spinning in Daffodils comes to mind.

No, this week’s band is not Simon and Garfunkel. We are not going full acoustic. But today’s artist is stripped down, straight forward Rock and Roll.

And they are just as dangerous and powerful as the vehicle in their name.

This week we are going to check out BLACK REBEL MOTORCYCLE CLUB.

About Them

I gotta think that if you own a motorcycle, San Francisco is either the best or the worst place in the world. All those hills would certainly make driving interesting.

Yup. This band grew up right in the Golden Gate city, and was founded in 1998 - not that far off from QotSA’s 1996 start date. BRMC are true peers to Josh and the lads, but no one seems to talk about them. They are that band that I will talk to you about incessantly at a party and who you will pretend to be interested in until you can escape the conversation.

Well that all changes today, because you cannot escape. Let’s get talking, boys.

The first sparks of BRMC emerged in 1995 when a 17 year-old Robert Levon Been (also known as Robert Turner) met with Peter Hayes in a San Francisco High School. The two found friendship through a mutual love of 90’s era UK rock such as

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📰︎ r/qotsa
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📅︎ Jan 08 2021
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Mom's cooking

My mom was an incredible woman. She grew up very religious, but fell in love with our dad and had me at 16. Her family kicked her out and when Dad left her after Beck, my little sister, was born, she was completely alone. She had to work three jobs to pay rent and take care of us. We moved around a lot and didn’t have any close friends, but she never let that defeat her. She had a heart so kind and gentle, she was always full of hope and optimism, and we would never see a frown on her face no matter how bad our financial situation was. She was amazingly strong all her life, she was the rock in our ocean of despair and self-pity. She would always make the best out of anything that happened ; when our water got cut off one year, she made up a song with the squeaking sound the sink made and got us kids to play instruments by banging on the rusty pots and pans. It made an absolute ruckus, the downstairs neighbors banged on the ceiling with a broom, and we collapsed laughing on the floor. Mom could never, ever get mad at us, not even when we stole some of her savings to go buy cheap candy at the convenience store. We were often ungrateful little shits, but she never held that against us. She told us that she understood, that it was okay to be upset and jealous of the other kids at school because they got a new TV and videogames and we got a matted teddy bear and watery markers from the toy drive.

It wasn’t easy growing up, but Mom made it all worth it. She saved up our whole childhood, from every paycheck, and encouraged us to make a lot of efforts in school, so with the scholarships, she was able to send us both to a fairly good college. I graduated two years ago and got a job in the field very soon, and with the earnings from my student job, I was able to get Mom a better apartment, close to the one that I share with Beck, who’s in her last year of school, and my cat Luna. It’s small but cozy and Beck decorated it with lots of plants and trinkets she found at the thrift store, she’s very good at that type of stuff. We all remained a close family, seeing each other everyday. It was the best of times.

That was until a few months ago. One morning, I got a call at work from a panicked, crying Beck urging me to come home. I got back a few minutes later to a team of paramedics carrying Mom out of her apartment on a stretcher, unconscious. Turns out Beck had gone to hang out with her on her day off and found Mom lying on the floor of her bathroom. She had su

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📰︎ r/nosleep
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📅︎ Dec 22 2020
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Someone found my exmormon TikTok and tattled to my mom... (a rant)

I’m a 31 year old woman who left the church in August after years of wrestling with it. Recently, I started sharing my experiences with the church on TikTok and got myself a modest following.

My mom called me today in tears because someone called her to tell her about my TikToks and honestly, if that doesn’t totally sum up what it’s like to be a single woman in the church. Someone had to call my mommy to reign me in since I don’t have a husband to keep me in line.

Jesus, take the wheel.

ETA: I’d already told my mom I left the church. This isn’t how she found out. She just didn’t know I had such a bad experience and was upset that the videos could adversely affect my future employment... (lol). She was also concerned about how those videos might hurt someone’s feelings (rather than me talking about my feelings but whatever...). Hope that clears some things up!

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📰︎ r/exmormon
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📅︎ Nov 12 2020
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Christmas at Cainhurst PVP event!

Hi everyone!

New update many people suggested to restrict the area so from now on please ring near the 1st lantern!

Update Event is live! Comment here or on the Discord(listed below) to find other player!

r/sinisterbell, the PvP subreddit for bloodborne would like to invite everyone to its yearly PvP event in Cainhurst!

Update : no longer strongly advised to be in BL 70 since you actually need to be in a NG+ to not kill Logarius.

The comments have pointed out that if you are not in an NG+ and have already killed Logarius your option are a bit limited, however you can still ring your sinister bell and, since lots of people will be beckoning and ringing their sinister bell beforehand, there will be a big pool of potential invades. Therefore even tho it is true that you can’t beckon, there should still be a lot of players around. We didn’t really have an issue with it in the past year. If connectivity problems seem to be an issue then we’ll consider moving the event, but for now it will stay as is!:)

What's a better way to end this shitty year and celebrate Christmas than by firing up Bloodborne and killing a few Vilebloods and/or Executioners!

Here is all the info, which can also be found here

So what is it exactly? We invite you guys to go to Cainhurst, using either the Executioner (Radiance) or Vileblood (Corruption) Oath runes and to ring away your beckoning/small resonant bells! The mechanic between the two runes means you'll be able to fight the other players even without using the sinister bell!

So here are the specifics:

When?

From the 20th through the 31st of December

Where?

Anywhere in the Cainhurst Castle

Rules

  • Healing: Bow to your opponent for a No-Heal duel, else all heals are permitted
  • All non-oath runes are allowed
  • All gems allowed (As always, if you are too OP for the others please consider changing your gems to keep it fun)
  • Vilebloods ring the beckoning bell
  • Executioners ring the small resonant bell

*If you are a Vileblood but have already killed Logarius, ring your Sinister bell (depending on your level that may result in a little fewer matches so consider going in a new NG cycle)

Discord: https://discord.gg/hsvMMA9 (We use it to coordinate

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📰︎ r/bloodborne
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👤︎ u/tyrede0
📅︎ Dec 10 2020
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Crusader Kings 3 Patch 1.1 Notes: What They Actually Mean

Game Balance

  • Just because your dad is an asshole and called you a failure and cast you out of the family doesn't mean no one anywhere in the world will ever let you inherit anything. I mean, he was probably right about you but if you get on a boat to India they probably won't know or care yet.

  • If you spend hundreds of ducats of your own money building a fabulous new church, God's not gonna just be like "sure fine whatever I guess"

  • Lower-rank clan rulers won't get penalties for failing to have an entire harem anime going on.

  • If you are below the waifu quota for your rank, though, God is gonna be twice as mad about it. He tunes in to this show to ship you with various hotties and nothing on heaven or earth will save you if you fail to deliver.

  • Partition was all kinds of fucked up and would often explode from even momentary contact with certain other game mechanics. We're sorry. We're working on it.

  • Courtiers who you had an illicit love child with are less likely to dump the baby in your lap and disappear forever and not even pay child support.

  • Refusing a call to arms now does something, up from basically nothing.

  • It's now much harder to make literally everyone in the world love you just because you read a lot of books on rhetoric. Sorry political youtubers.

  • Characters should now experience a gradual decrease in fertility instead of knocking up all three concubines with quadruplets one day and suddenly having their balls turn to dust and blow away in the wind the next.

  • Greedy characters will no longer gain stress from giving away a city or temple, because as we all know, administering anything that isn't a castle gives poor feudal lords the hurty brain and it's just not practical to expect them to do it.

  • Heresies should no longer replace like 90% of all Catholic counties by two weeks in to every 867 game.

  • Inheritance succession can now go up to 6 generations upwards to find a distant relative rather than just 3 in case, say, you ended up getting the first 20 people in line for the throne killed because you keep forgetting to go click Forbid on the Knights screen.

  • It's now much harder to murder someone you're at war with and practically impossible to abduct them because they've seen the exploit videos, too, and they're not falling for that bullshit again.

  • Knights who are constantly swinging swords around and not getting killed will probably get better at it over time.

  • The Emperor of the HRE or any similarly impr

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👤︎ u/AsaTJ
📅︎ Sep 29 2020
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[Share] My Music Library Index (861GB)

Hello everyone. I made a post about two months ago sharing my library index (646GB at the time). I was working with 400GB of space back then so I went with a request format so people could comment and request titles on my list. However, I have since exceeded that storage space limit through the sheer number of requests I've been getting so I decided to purchase more space to accommodate everyone's needs. As a result, I now have enough space to upload my entire library which is what I have done. Please enjoy!

aHR0cHM6Ly9tZWdhLm56L2ZvbGRlci96bDBtR1FDUSN3S21ORzVlUmdDVmxSeC0wUTlFQS1R

*This keeps coming up on my last post, so I will reiterate it here:

This is not a request post. I'm sharing what I have in my library. Please do not request titles that aren't listed below. Thank you. :)

If there's no quality specified, it's FLAC at 16bit / 44.1 or 48 kHz

[320] MP3 at 320kbps, when this number is 3 digits and not 16/24 it is always MP3 with the number indicating kbps

[24] FLAC at 24 bit, if the sampling rate is higher than 44.1/48kHz it will be specified

[MQA] will be specified after bit-rate

Discographies are studio albums mostly, some include EPs/Mixtapes/Live albums as well

All albums listed are complete, unless otherwise noted.

If there are multiple formats available within an album, they will be in separate sub folders.

Occasionally there will be albums with mixed formats, which will be noted.

There's a small percentage of titles that are labeled in FLAC but are actually upsampled MP3. Unfortunately I'm not quite sure which ones they are. I'd estimate this to be less than 3% of the collection.

Some video content are also included with certain titles.

I think that would be all for now. Please let me know if you have any concerns or questions below.

--------------------------------------------------------------------------------------------------------------------------------------

2 Chainz - Discography (2012-2020)[16~24/96]

2 Pac - 2Pacalypse Now, Strictly 4 My NIGGAZ, Me Against the World, All Eyez on Me, Americaz Most Wanted

8 Mile Original Soundtrack

8Ball - Lost

21 Savage - Slaughter King [320], Savage Mode, Savage Mode II [24]

50 Cent - Discography (2003-2014), Power of the Dollar EP+Unreleased, Guess Who's Back [Mixtape], The New Breed [Documentary CD], Get Rich or Die Tryin' OST, This is 50 [Mixtape], The Kanan Tape [Mixtape], Best Of [Compilation], Singles

112 - 112, Room 112

A Boogie wit da Hoodie

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📅︎ Dec 12 2020
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Respect Red Jacket Lupin the 3rd! (Lupin the 3rd Part 2)

>"That just means the game isn't over yet! The goddess of victory will smile upon me, Lupin III!"

Required listening for this thread

Lupin III is the grandson of Arsène Lupin. He is the world's most wanted gentleman thief. Lupin is acknowledged by virtually every law agency on earth as the world's number one thief. Often in his adventures, he and his colleagues, Daisuke Jigen and Goemon Ishikawa XIII, will take it upon themselves to foil other criminals engaged in more violent crimes. While first glance may imply Lupin as fun-loving, flighty, perhaps even "goofy", his surface façade overcoats a brilliant imagination and a thorough knowledge of a hundred varying sciences. Forever extemporizing and reevaluating, Lupin has been responsible for heists no right-minded individual would believe possible. While arrested and jailed on numerous occasions, typically by his nemesis Inspector Zenigata, he has always managed to escape. He has a fondness for fancy gadgets from time to time plus hands-on experience in many skills a thief would find useful. His infatuation with Fujiko Mine is perhaps his most significant weakness, as it lands him in undesirable situations most of the time.

#Equipment

Exactly what it sounds like. They are released to distract the motion sensors of an extremely secure museum

A rapidly expanding airbag.

Lupin's trademark blue and white boxer shorts double as an emergency parachute.

A small bomb that detonates when shot by Jigen.

A set of balloons that lift an Egyptian death mask display. Lupin also has a larger set they used to steal the Statue of Liberty

A briefcase containing a rapidly expanding balloon filled with knockout gas.

A small, golden coin with his face on it. When thrown, releases a giant Lupin-shaped dummy.

Several large barrels of explosiv

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👤︎ u/CalicoLime
📅︎ Jan 06 2021
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Black skaters, Black-owned businesses and stories to follow and support

I originally posted this to r/Rollerblading but a lot of this information can be useful for quad skaters as well, trying to share this with as many people as possible. If you have more Black-owned businesses you'd like to add, please comment below and I'll add them to this list! The original list is mostly inline skaters, but please recommend anyone to add, ESPECIALLY women and non-binary folk. Thank you!


Trying to find information about Black skaters on Google is plain difficult and sad, I’d say over 90% of results are listings for buying black skates, or stock images of Black people skating. It goes to show how little representation the sport offers Black culture, when Black culture and music is so deeply integrated into the sport.


Here's a list of Black skaters, Black-owned businesses and stories to follow and support:

>Before the rest of the world knew who they were, the pioneers of rap, including Dr. Dre, Queen Latifa, and N.W.A., got their starts performing in rinks, Skateland, a well-known rink in Northridge, was the venue for a memorable N.W.A performance later depicted in the biopic Straight Outta Compton. Source.

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👤︎ u/p3p3ron
📅︎ Jun 16 2020
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Going to Coalesce? Here's is a Guide to the Bay Area, brought to you by Bay Area Bassheads!

Welcome Tipper and friends! We have collaborated to put together this in-depth guide for you to use when you visit our beautiful home. We hope you love it and it helps you out immensely, and if you have any questions or need more suggestions, feel free to reach out!

The Bay Area includes the San Francisco peninsula, the East Bay (Oakland, Berkeley, Albany, Richmond, San Leandro, etc.), the North Bay (Marin, Sausalito, Sebastopol, etc.) and the South Bay (San Jose, Mountain View, Cupertino, etc.).

Map of the Bay Area

The Richmond Craneway is located in Richmond in the East Bay. Please be advised: Richmond is not the safest neighborhood in the world. Which leads to this next, and most important point…

SAFETY:

The Bay Area is insanely beautiful. However, you will notice quickly that there is a particularly massive homeless population here. A large portion of the homeless in the Bay Area are SEVERELY mentally ill and/or suffering from severe addiction. I’m gonna mom you for a bit:

PLEASE. BE. CAREFUL.

Do NOT walk anywhere alone if you can avoid it, and DEFINITELY do not walk around fucked up and making a scene. Don’t wear headphones, walk with your phone out, or walk alone. Don’t have large pieces of jewelry on that will make you a target. Mentally unstable people do some pretty jarring shit sometimes, so if you're not used to being around heavy drug addicts, it can potentially be very uncomfortable. Don’t engage, don’t taunt, be respectful. Be smart, be careful and you’ll be gucci.

Alright now back to the fun stuff.

WHAT TO WEAR:

California may be notorious for warm, balmy weather year-round, but that does not necessarily apply to the Bay Area. The Bay Area’s weather is fucking weird. Ever heard the saying “the coldest winter I ever spent was a summer in San Francisco”? Well that shit is true (even if Mark Twain didn’t actually say it). It’s cold. Wear layers and close-toed shoes. The juxtaposition of the city to the Pacific Ocean means cold, damp fogs are regular occurrences and they will get you when you’re not expecting it and it will make you miserable. *Bonus fact: Bay Area residents call the fog “Karl the fog” and he has his own Twitter account. :)*

PLACES TO STAY:

Finding a place to stay in this area may seem tricky, since Richmond is largely an industrial city. The cities closest to

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📰︎ r/Tipper
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📅︎ Nov 24 2018
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Sword-wielder in ‘MAGA’ hat slashes man outside SF roller rink, police say

This is the best tl;dr I could make, original reduced by 66%. (I'm a bot)


> A sword-wielding assailant wearing a red &quot;Make America Great Again&quot; hat slashed a man in the hand during an altercation outside a popular roller-skating rink in San Francisco&#039;s Western Addition on Friday, officials said.

> Police are searching for the attacker, who fled the scene outside the Church of 8 Wheels on Fillmore and Fell streets, leaving his victim bleeding profusely on the sidewalk outside the crowded skating spot.

> The victim tried to grab the hat, a symbol of President Trump&#039;s 2016 presidential campaign, and the other man whipped out a sword and slashed him, Rueca said.

> Police originally reported that the victim was wearing the hat, but changed their statement late Saturday.

> Scott Sweeney, 24, said he saw a man wearing the recognizable hat with a sword tucked into the back of his jacket about 30 minutes before the attack.

> &quot;In my mind I didn&#039;t think it was a real sword until we came out later and police were on the scene and there was blood and the hat on ground,&quot; he said.


Summary Source | FAQ | Feedback | Top keywords: hat^#1 victim^#2 man^#3 Police^#4 attack^#5

Post found in /r/politics.

NOTICE: This thread is for discussing the submission topic. Please do not discuss the concept of the autotldr bot here.

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👤︎ u/autotldr
📅︎ Mar 31 2019
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Analyzing the lyrics of 14,500 Country songs

I am in college studying computer science and in late September of 2020 I watched this video by youtuber Grady Smith. In the video he analyzed the lyrics of the top 485 songs from 2014-2019. I knew I could use my programming skills to automate the collection of lyrics. I was able to create a web-scraping bot to find the lyrics of 14,504 country songs released from 2010-2020. Because I scraped the lyrics in late September, any music released around or after that date is not likely to have made it into the dataset.

I have created a website that shows my findings and presents all the data so you can complete your own analysis if you desire.

Before I discuss my own findings, I need to define a few terms:

  • Popularity – based on recency and number of plays a song has on Spotify.
  • Diversity – the repetitiveness of a song (mostly, I discuss this more on the about page of the website)
  • Uniqueness – how common are the words used in a song. (Ex: girl: common, entropy: uncommon)
  • Stereotype – the percentage of words in a song that are stereotypical. It is broken into six sub-categories: clothing, body, trucks, alcohol, god, lifestyle. The list of words that were deemed stereotypical can be found on the about page of the website.

Overall Trends

In general,

  • More popular songs are more stereotypical.
  • More popular songs are less diverse (more repetitive).
  • More diverse (less repetitive) songs, are more unique (less common words).

Stereotypes:

  • Overall, 3.7% of all words were stereotypical.
  • Overall, 0.1% of all words fell into the clothing sub-category.
  • Overall, 1.7% of all words fell into the body sub-category.
  • Overall, 0.5% of all words fell into the alcohol sub-category.
  • Overall, 0.5% of all words fell into the trucks sub-category.
  • Overall, 0.46% of all words fell into the god sub-category.
  • Overall, 0.4% of all words fell into the lifestyle sub-category.

I think this data proves that the stereotype of country music including words like blue jeans, boots, and cowboy hats is not true. Sure, there are songs like Old Hat by Jon Pardi where 6% of the words fall into the clothing sub-category but they are by FAR the exception, not the rule. On average only 1 out of 1000 words fall into this sub-category.

The most frequent sub-category by far was the body sub-category. Almost 1 out of every 50 word

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👍︎ 104
📰︎ r/country
💬︎
📅︎ Jan 12 2021
🚨︎ report
Analyzing the lyrics of 14,500 Country songs

I am in college studying computer science and in late September of 2020 I watched this video by youtuber Grady Smith. In the video he analyzed the lyrics of the top 485 songs from 2014-2019. I knew I could use my programming skills to automate the collection of lyrics. I was able to create a web-scraping bot to find the lyrics of 14,504 country songs released from 2010-2020. Because I scraped the lyrics in late September, any music released around or after that date is not likely to have made it into the dataset.

I have created a website that shows my findings and presents all the data so you can complete your own analysis if you desire.

Before I discuss my own findings, I need to define a few terms:

  • Popularity – based on recency and number of plays a song has on Spotify.
  • Diversity – the repetitiveness of a song (mostly, I discuss this more on the about page of the website)
  • Uniqueness – how common are the words used in a song. (Ex: girl: common, entropy: uncommon)
  • Stereotype – the percentage of words in a song that are stereotypical. It is broken into six sub-categories: clothing, body, trucks, alcohol, god, lifestyle. The list of words that were deemed stereotypical can be found on the about page of the website.

Overall Trends

In general,

  • More popular songs are more stereotypical.
  • More popular songs are less diverse (more repetitive).
  • More diverse (less repetitive) songs, are more unique (less common words).

Stereotypes:

  • Overall, 3.7% of all words were stereotypical.
  • Overall, 0.1% of all words fell into the clothing sub-category.
  • Overall, 1.7% of all words fell into the body sub-category.
  • Overall, 0.5% of all words fell into the alcohol sub-category.
  • Overall, 0.5% of all words fell into the trucks sub-category.
  • Overall, 0.46% of all words fell into the god sub-category.
  • Overall, 0.4% of all words fell into the lifestyle sub-category.

I think this data proves that the stereotype of country music including words like blue jeans, boots, and cowboy hats is not true. Sure, there are songs like Old Hat by Jon Pardi where 6% of the words fall into the clothing sub-category but they are by FAR the exception, not the rule. On average only 1 out of 1000 words fall into this sub-category.

The most frequent sub-category by far was the body sub-category. Almost 1 out of every 50 word

... keep reading on reddit ➡

👍︎ 31
📰︎ r/Music
💬︎
📅︎ Jan 12 2021
🚨︎ report
Crickets. Stay. Kitchen. Recap of 90DF S08E04

Welcome to another titillating 90DF recrap! If you thought the 90DF crew was going to go on hiatus due to COVID, you were mistaken, because this is front line work, so you’re going to have to start clapping for them along with the grocery store workers and long-suffering Amazon delivery crew every night at 7. Producers of television that should be studied in a lab, thank you for your service, #brave.

Natalie wakes up in Mike’s bachelor shack, freezing and on the hunt for food without fat. Mike shows her how to make French toast, and for reasons he doesn’t explain opts to foul the creation with cinnamon. While they wander around the kitchen, Natalie asks him what she’s supposed to do in the middle of nowhere, alone. Mike says she can unpack, stare into space, question her decisions, get chased by a cougar or bear through the woods, get horribly lost, and then he’ll say he did all he can. This kinda kills Natalie’s appetite, but she manages one bite of dry French toast, before heading to the fridge on the hunt for vegetables. Natalie is disappointed, because she eats healthy, and he knows it.

Natalie might be moody, but let’s take a moment to recognize that Mike is so passive aggressive that he sulks, kills the heater, and neglects to buy groceries just to express how hurt he is about a returned ring.

“Look, I’m just trying to get out of credit card debt,” Mike admits. “If I can get, I dunno, maybe one more season after this, I’ll be in much better shape for wife shopping.”

Natalie finds a lonely carrot in his refrigerator, and wraps it in a blanket and rocks it. “it’s just you and me in middle of nowhere, Mr. Carrot,” she says. “we will sit in corner together, and then I will bite your head off. I’m sorry, it must be this way.”

“I can take you into the woods to go fishing,” Mike offers. “That way you can do two things you hate at once.”

As they drive into town to look at the brick side of several restaurants with “barn” in the name, the post office, and a gas station with smokers arranged around it, living dangerously, Natalie says that she’s read about an amazing waterfall. Mike counters that this waterfall is two or three hours away, and he’d rather make it a full weekend event. Natalie falls quiet for obvious reasons, but Mike professes to be baffled anyway.

Here it is Mike: She asked to do something simple that requires four hours of driving, and you turned it into something complicated that involves a full weekend of planning, just to del

... keep reading on reddit ➡

👍︎ 146
💬︎
👤︎ u/fractalfay
📅︎ Dec 29 2020
🚨︎ report
Analyzing the lyrics of 14,500 Country songs

I am in college studying computer science and in late September of 2020 I watched this video by youtuber Grady Smith. In the video he analyzed the lyrics of the top 485 songs from 2014-2019. I knew I could use my programming skills to automate the collection of lyrics. I was able to create a web-scraping bot to find the lyrics of 14,504 country songs released from 2010-2020. Because I scraped the lyrics in late September, any music released around or after that date is not likely to have made it into the dataset.

I have created a website that shows my findings and presents all the data so you can complete your own analysis if you desire.

Before I discuss my own findings, I need to define a few terms:

  • Popularity – based on recency and number of plays a song has on Spotify.
  • Diversity – the repetitiveness of a song (mostly, I discuss this more on the about page of the website)
  • Uniqueness – how common are the words used in a song. (Ex: girl: common, entropy: uncommon)
  • Stereotype – the percentage of words in a song that are stereotypical. It is broken into six sub-categories: clothing, body, trucks, alcohol, god, lifestyle. The list of words that were deemed stereotypical can be found on the about page of the website.

Overall Trends

In general,

  • More popular songs are more stereotypical.
  • More popular songs are less diverse (more repetitive).
  • More diverse (less repetitive) songs, are more unique (less common words).

Stereotypes:

  • Overall, 3.7% of all words were stereotypical.
  • Overall, 0.1% of all words fell into the clothing sub-category.
  • Overall, 1.7% of all words fell into the body sub-category.
  • Overall, 0.5% of all words fell into the alcohol sub-category.
  • Overall, 0.5% of all words fell into the trucks sub-category.
  • Overall, 0.46% of all words fell into the god sub-category.
  • Overall, 0.4% of all words fell into the lifestyle sub-category.

I think this data proves that the stereotype of country music including words like blue jeans, boots, and cowboy hats is not true. Sure, there are songs like Old Hat by Jon Pardi where 6% of the words fall into the clothing sub-category but they are by FAR the exception, not the rule. On average only 1 out of 1000 words fall into this sub-category.

The most frequent sub-category by far was the body sub-category. Almost 1 out of every 50 word

... keep reading on reddit ➡

👍︎ 59
💬︎
📅︎ Jan 12 2021
🚨︎ report
Analyzing the lyrics of 14,500 Country songs

I am in college studying computer science and in late September of 2020 I watched this video by youtuber Grady Smith. In the video he analyzed the lyrics of the top 485 songs from 2014-2019. I knew I could use my programming skills to automate the collection of lyrics. I was able to create a web-scraping bot to find the lyrics of 14,504 country songs released from 2010-2020. Because I scraped the lyrics in late September, any music released around or after that date is not likely to have made it into the dataset.

I have created a website that shows my findings and presents all the data so you can complete your own analysis if you desire.

Before I discuss my own findings, I need to define a few terms:

  • Popularity – based on recency and number of plays a song has on Spotify.
  • Diversity – the repetitiveness of a song (mostly, I discuss this more on the about page of the website)
  • Uniqueness – how common are the words used in a song. (Ex: girl: common, entropy: uncommon)
  • Stereotype – the percentage of words in a song that are stereotypical. It is broken into six sub-categories: clothing, body, trucks, alcohol, god, lifestyle. The list of words that were deemed stereotypical can be found on the about page of the website.

Overall Trends

In general,

  • More popular songs are more stereotypical.
  • More popular songs are less diverse (more repetitive).
  • More diverse (less repetitive) songs, are more unique (less common words).

Stereotypes:

  • Overall, 3.7% of all words were stereotypical.
  • Overall, 0.1% of all words fell into the clothing sub-category.
  • Overall, 1.7% of all words fell into the body sub-category.
  • Overall, 0.5% of all words fell into the alcohol sub-category.
  • Overall, 0.5% of all words fell into the trucks sub-category.
  • Overall, 0.46% of all words fell into the god sub-category.
  • Overall, 0.4% of all words fell into the lifestyle sub-category.

I think this data proves that the stereotype of country music including words like blue jeans, boots, and cowboy hats is not true. Sure, there are songs like Old Hat by Jon Pardi where 6% of the words fall into the clothing sub-category but they are by FAR the exception, not the rule. On average only 1 out of 1000 words fall into this sub-category.

The most frequent sub-category by far was the body sub-category. Almost 1 out of every 50 word

... keep reading on reddit ➡

👍︎ 39
💬︎
📅︎ Jan 12 2021
🚨︎ report
Analyzing the lyrics of 14,500 Country songs

I am in college studying computer science and in late September of 2020 I watched this video by youtuber Grady Smith. In the video he analyzed the lyrics of the top 485 songs from 2014-2019. I knew I could use my programming skills to automate the collection of lyrics. I was able to create a web-scraping bot to find the lyrics of 14,504 country songs released from 2010-2020. Because I scraped the lyrics in late September, any music released around or after that date is not likely to have made it into the dataset.

I have created a website that shows my findings and presents all the data so you can complete your own analysis if you desire.

Before I discuss my own findings, I need to define a few terms:

  • Popularity – based on recency and number of plays a song has on Spotify.
  • Diversity – the repetitiveness of a song (mostly, I discuss this more on the about page of the website)
  • Uniqueness – how common are the words used in a song. (Ex: girl: common, entropy: uncommon)
  • Stereotype – the percentage of words in a song that are stereotypical. It is broken into six sub-categories: clothing, body, trucks, alcohol, god, lifestyle. The list of words that were deemed stereotypical can be found on the about page of the website.

Overall Trends

In general,

  • More popular songs are more stereotypical.
  • More popular songs are less diverse (more repetitive).
  • More diverse (less repetitive) songs, are more unique (less common words).

Stereotypes:

  • Overall, 3.7% of all words were stereotypical.
  • Overall, 0.1% of all words fell into the clothing sub-category.
  • Overall, 1.7% of all words fell into the body sub-category.
  • Overall, 0.5% of all words fell into the alcohol sub-category.
  • Overall, 0.5% of all words fell into the trucks sub-category.
  • Overall, 0.46% of all words fell into the god sub-category.
  • Overall, 0.4% of all words fell into the lifestyle sub-category.

I think this data proves that the stereotype of country music including words like blue jeans, boots, and cowboy hats is not true. Sure, there are songs like Old Hat by Jon Pardi where 6% of the words fall into the clothing sub-category but they are by FAR the exception, not the rule. On average only 1 out of 1000 words fall into this sub-category.

The most frequent sub-category by far was the body sub-category. Almost 1 out of every 50 word

... keep reading on reddit ➡

👍︎ 58
💬︎
📅︎ Jan 12 2021
🚨︎ report
Analyzing the lyrics of 14,500 Country songs

I am in college studying computer science and in late September of 2020 I watched this video by youtuber Grady Smith. In the video he analyzed the lyrics of the top 485 songs from 2014-2019. I knew I could use my programming skills to automate the collection of lyrics. I was able to create a web-scraping bot to find the lyrics of 14,504 country songs released from 2010-2020. Because I scraped the lyrics in late September, any music released around or after that date is not likely to have made it into the dataset.

I have created a website that shows my findings and presents all the data so you can complete your own analysis if you desire.

Before I discuss my own findings, I need to define a few terms:

  • Popularity – based on recency and number of plays a song has on Spotify.
  • Diversity – the repetitiveness of a song (mostly, I discuss this more on the about page of the website)
  • Uniqueness – how common are the words used in a song. (Ex: girl: common, entropy: uncommon)
  • Stereotype – the percentage of words in a song that are stereotypical. It is broken into six sub-categories: clothing, body, trucks, alcohol, god, lifestyle. The list of words that were deemed stereotypical can be found on the about page of the website.

Overall Trends

In general,

  • More popular songs are more stereotypical.
  • More popular songs are less diverse (more repetitive).
  • More diverse (less repetitive) songs, are more unique (less common words).

Stereotypes:

  • Overall, 3.7% of all words were stereotypical.
  • Overall, 0.1% of all words fell into the clothing sub-category.
  • Overall, 1.7% of all words fell into the body sub-category.
  • Overall, 0.5% of all words fell into the alcohol sub-category.
  • Overall, 0.5% of all words fell into the trucks sub-category.
  • Overall, 0.46% of all words fell into the god sub-category.
  • Overall, 0.4% of all words fell into the lifestyle sub-category.

I think this data proves that the stereotype of country music including words like blue jeans, boots, and cowboy hats is not true. Sure, there are songs like Old Hat by Jon Pardi where 6% of the words fall into the clothing sub-category but they are by FAR the exception, not the rule. On average only 1 out of 1000 words fall into this sub-category.

The most frequent sub-category by far was the body sub-category. Almost 1 out of every 50 word

... keep reading on reddit ➡

👍︎ 37
📰︎ r/altcountry
💬︎
📅︎ Jan 12 2021
🚨︎ report

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