#35000 and counting

[ghoulpoole]

some song lyrics about the palestine protests.

an old hard country song

is just the thing im needing.

i want you to move your bow

real hard and real slow

til you hear those strings aweeping;

i want you to hit those strings so hard

you coulda sworn you saw them bleeding,

because a hard old song of freedom

is just the thing im needing.

give me an old hard protest song.

i want you to shout your song

real loud and real long,

until your throat is croaking.

i want you out in pissing rain,

shouting til your bones are soaking.

i want you to holler loud and long for grace

while god spits right in

your goddamn face,

because i need the angry songs of

souls long since done and broken.

give me a good old fashioned protest song.

i want to see you here

on these genocidal streets,

to hear you tell those fucking cops

that til we get the justice we deserve,

they won't get a single ounce of peace.

i want you to bang a drum

with deep rage that will never cease.

because a song of POWER

is just the thing im needing.

because a fistful of four-letter words

are the only fucking words worth reading.

because a new type of country song

is just the thing i'm needing.

give me a strong new justice song.

#no justice no peace #free palestine #portland state occupation #portland state university #antiracism #social justice #lyrics #poetry #queer poetry #trans poetry #writeblr #grief #35000 and counting #its a genocide #whether folx want to admit it or not #free gaza #gaza #palestine #gaza genocide

[synthshenanigans]

These tracks do NOT deserve to be the least popular and least viewed Vol.1 tracks

#you don't understand how offended i am at some of these bro/lh #are they all still above 35000? yes Is that still a lot? yes #But compared to other songs tho #my boy Greener??? At only 61?? #Dream at 79?? #frickin TMR at only 37??????? #FUCKING TAKEN FOR A RIDE #AT ONLY 65K #I cant believe it #for comparison Storm&Spring is at 120 and L&N is at 156 #not counting TME trio or Bidding since those ended up being tik tok songs #so they got a bonus 500+k #but like bro #the disrespect #chonny jash #chonnys charming chaos compendium

[minisgatewaytoinsanity]

When you give a fictional architect the task of building the New Inn for Hob and said architect goes wildly off script at the last possible moment, stating he's made a few 'unauthorized changes' and basically constructed Hob's dream apartment above the Inn there's nothing you can do as a writer than roll with it...

There's a separate room best to be used as an office and a large room that could make for a spacious living room with a proper kitchen in one corner. An open staircase leads to the lofty attic that could host the bedroom and – yes, Hob is already planning it in his mind – quite a few bookshelves, artfully draped around the big windows that let light in from three sides.

There are some fixtures in place for what will be an opulent bathroom on one side and the attic comes with a small balcony, just big enough for a cosy seating for two, smartly located on the opposite side of the Inn's terrace to grant some privacy. And Hob immediately realizes that if he places the bed just so he will have a beautiful view and even be able to see the Old Inn.

“Wow, this is, I didn't even know I wanted this,” he sounds a bit smitten and a lot in awe.

“So, you like it?”

“Like is not strong enough a word for this. When can I move in?”

#the sandman #hob gadling #dreamling #hob x dream #writing #fanfic #35000 words and counting

[aymanayyad81]

Hello ! Thanks for your patience with me ! Your contribution is highly valued to help people in need. A month if my campaign and we are still far from the goal, but today is better than a week ago . Your small donation counts and stand beside me gives power and support . A 1000 out of 35000 is too slow to reach the desired goal so please be with me towards ensuring a safe passage for an eight member family. Your donation is considerable and your shares are needed to reach a wider audience that can help reach the goal faster.

Our slogan: let little kids live safely and peacefully .

Thank you all generous donors and contributors.

#still lindigo

[cooltrainererika]

I’m obsessed with Godzilla -1.0 now.

As you can maybe tell by me reblogging posts about it throughout the week lol.

Like oh my god. That movie. That movie.

That climax was the first time my heart was legit beating out of my chest at a movie climax. Most likely because I cared about the characters so much.

Because the human drama. Man, it got me good. My words can’t do it justice, and others have done it way more justice. Go watch it. I beg you. GO WATCH IT.

I commissioned plushies of Shikishima and his found family from a Colombian because there was only merch of Godzilla it was so good and I like the human characters so much. It was so expensive but so worth it. 35000+ yen, guys. And counting!

Unfortunately (fortunately) I can’t write much fanfics about it because it’s a self-contained story, but I hope this fandom grows.

#godzilla minus one #Koichi Shikishima my beloved #he deserves a hug #I like Woobies can’t you tell

[lavenderprose]

#Maggie Talks #Fic #Our Flag Means Death

[gertritude-art]

rough estimate on how long demonvn will take to play? i was imagining it’d only be 1-2 hours long til i saw your progress report saying there were 35000 words in it

I am making the mistake of answering this right before I go to sleep without checking the current word count again. Anyway, I don't have a very good idea at the moment since I have yet to sit down and play everything all the way through, but, hm... I am going to say anywhere in the 1-4 hour range, depending on how fast you read through things? I will give a more specific estimate once I have a chance to do that. In my head it is a very short game, but every time I assume something is fairly short, it always ends up being way longer than I expected, so!!!

#notart #ask #some of that word count is text that needs to be cut... it isnt fully accurate @_@

[untethereddreams]

2022 A Year In Review!

Tagged by @nectargrapes​ :) I’m gonna be guessimating for a bunch of these since adhd makes a month ago and two years ago look the same but here goes!

Top 5 Movies you saw this year:

1. Glass Onion (highly entertaining, I just watched it last night)

2. Fear Street trilogy

3. The Babysitter: Killer Queen

4. Parasite (movie)

5. Holidate

6. Choose or Die

7. A Classic Horror Story

Top 5 TV Shows you watched this year:

1. Who Rules the World

2. Bee and Puppycat: Lost in Space

3. Dorohedoro

4. Parasite (anime)

5. Wednesday (had criticisms but overall a fun show)

Top 5 songs of 2022 (newly discovered):

1. One Headlight by the Wallflowers

2. No Plan by Hozier

3. It's So Easy by Guns N' Roses (VERY nsfw and rude so be warned)

4. Have You Ever Heard the Rain by CCR

5.

Top 5 albums/artists:

1. Hozier

2. AFI

3. P!atD

4. Aerosmith

5.

I really haven't listened to much music this year and what I did listen to were mostly old favourites. I tried to make up for it with extras in some other categories

Top 5 books you read this year (or fanfics, or articles, or anything!)

1. The Hands of the Emperor (reread this 5 times in a row)

2. the Riddlemaster series

3. Hench

4. Lesser Known Monsters of the 21st Century

5. Death-Head's Deal by @niuniente

6. The Refrigerator Monologues

7. The Power of Habit

Top 5 TV/Movie/Book characters of 2022:

1. Kip Mdang from the Hands of the Emperor

2. Benoit Blanc from Glass Onion

3. Helen and Andi from Glass Onion

4. Pretty Polly from The Refrigerator Monologues

5. The Guide from the Mistholme Museum of Mystery, Morbidity, and Mortality

Top 5 Podcasts you listened to:

1. Mistholme Museum of Mystery, Morbidity, and Mortality

2. The Magnus Archives

3. Penumbra Podcast

4. Old Gods of the Appalachia

5. Defunctland (counting this as a podcast since I basically only listened to the videos anyway

5 positive things that happened in 2022, no matter how small!:

1. I graduated from uni with a degree in English Creative Writing! It’s a big deal since I dropped out of my first program (neuroscience) and it took me five years to even start thinking of going back

2. I finished a wire tree commission for a friend and the recipient was super happy with it! Pic below (It’s meant to be mounted on a wall which is why it’s flat on my floor)

3. I wrote over 35000 words on my main wip, all by hand since that’s the only way to beat the deathgrip the internet has on my adhd

4. Moved back in with my partner

5. Made a badass shawl for a good friend of mine and gave it to her when she came to visit.

Tagging @ryns-ramblings​ @eqqautor​ @moondust-bard​ @songsofloke​

#tag games #2022 year in review #took me a while to try and remember things cuz adhd

[tungtung-thanawat]

Started reading a 3500 word fic and three hours later I was like oh this is the longest 3500 word fic I’ve ever read only to check the word count again and it’s actually 35000 😅

[grandpa-cephalopods]

"Ao!" Lutarna called out, "I'm here to drop the bodies off. Got a 35000 count for yah."

"Garrett, I already told you I'm not keen on losing any humans over that bombshell."

"But Ao you said it yourself- I'm the most expendable human here, that's why I chose to be a grunt. At least let me do my job."

"You might be, but you were also a very expensive investment I don't want to throw down the drain, moron. You know what- go ask that Vulture guy instead so I can have my coffee in peace."

"... Gladly."

#ao #garrett #//rp commentary

[dumbhero]

https://www.tumblr.com/lailashaqoura/751169831487799297/donate-to-help-them-to-survive-organized-by-ahmed?source=share

Please help us by sharing the post on your page so that we can collect donations and get out of the war. You are our hope. I will be very grateful to you . ❤️🙏🏼

"this fundraiser is vetted by nabulsi, fallahifag, el-shab-hussein, ibtisams, sayruq"

of course! praying for the safety of you and your family 🙏

i checked and this fundraiser has in fact been verified, they've got 3112/35000 euros so far ! every dollar counts :]

#asks #peace & love to you laila #i'll see about doing a little illustration when i get home from work

[eloreenmoon]

'Rise' (Queer Sci Fi 10th Annual Flash Fiction Contest) by Various Authors #LGBT #Spotlight #ReleaseDay #Anthology

Rainbow Gold Reviews is happy to be a host for this anthology: ‘Rise: Queer Sci Fi 10th Annual Flash Fiction Contest’.    Edited by J. Scott Coatsworth Wednesday, October 25 2023 Other Worlds Ink Cover Artist: J. Scott Coatsworth   Speculative Fiction MM, FF, MF, NB etc Fantasy, Horror, Paranormal, Romance, Science Fiction Anthology/Collection Word Count: 35000 Ace, Bi, Demi, Gay, Intersex,…

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#Anthology #gay romance #LGBT #New Release #new releases #Paranomal #Release Day #sci-fi #Spotlight

[aideemoi]

Rise - the new Queer Sci Fi Flash Fiction Contest Anthology is out!

RISE Queer Sci Fi’s Annual Flash Fiction Contest Anthology Edited by J. Scott Coatsworth Publishing Company: Other Worlds Ink Cover Artist: J. Scott CoatsworthPairings (if a romance): MM, FF, MF, NB etc Genres: Fantasy, Horror, Paranormal, Romance, Science Fiction Story Type: Anthology/Collection Word Count: 35000 LGBTQ+ Identities (if applicable): Ace, Bi, Demi, Gay, Intersex, Lesbian, Poly,…

View On WordPress

[aymanayyad81]

Hello ! Thanks for your patience with me ! Your contribution is highly valued to help people in need. A month of my campaign and we are still far from the goal, but today is better than a week ago . Your small donation counts and your stand beside me gives power and support . A 1000 out of 35000 is too slow to reach the desired goal so please be with me towards ensuring a safe passage for an eight member family. Your donation is considerable and your shares are needed to reach a wider audience that can help reach the goal faster.

#sakura

[pleuvoire]

sometimes i remember i did two half-nanowrimos on the same story that was written longhand a notebook and every time i finished a page i would manually count out the words on it and write the number of words on that page at the top right of the page and then add it to the running total of words so far and write that running total at the top left of the next page. and i did this for like 35000 words. kind of badass of me tbh

#i know there had to have been at least some minor counting errors so i’m always curious what the True word count is

[likeabosch]

Data Management & Visualization: Week 4

Output / Figures:

Code

Import Libraries

import pandas import numpy import seaborn import matplotlib.pyplot as plt

bug fix for display formats to avoid run time errors

pandas.set_option('display.float_format', lambda x:'%f'%x)

Set Pandas to show all colums and rows in Dataframes

pandas.set_option('display.max_columns', None) pandas.set_option('display.max_rows', None)

Import gapminder.csv

data = pandas.read_csv('gapminder.csv', low_memory=False)

Replace all empty entries with 0

data = data.replace(r'^\s*$', numpy.NaN, regex=True)

Extract relevant variables from original dataset and save it in subdata set

print('List of extracted variables in subset') subdata = data[['incomeperperson', 'lifeexpectancy', 'suicideper100th']]

Safe backup file of reduced dataset

subdata2 = subdata.copy()

Convert all entries to numeric format

subdata2['incomeperperson'] = pandas.to_numeric(subdata2['incomeperperson']) subdata2['lifeexpectancy'] = pandas.to_numeric(subdata2['lifeexpectancy']) subdata2['suicideper100th'] = pandas.to_numeric(subdata2['suicideper100th'])

All rows containing value 0 / previously had no entry are deleted from the subdata set

subdata2 = subdata2.dropna() print(subdata2)

Describe statistical distribution of variable values

print('Statistics on "Income per Person"') desc_income = subdata2['incomeperperson'].describe() print(desc_income) print('Statistics on "Life Expectancy"') desc_lifeexp = subdata2['lifeexpectancy'].describe() print(desc_lifeexp) print('Statistics on "Suicide Rate per 100th"') desc_suicide = subdata2['suicideper100th'].describe() print(desc_suicide)

Identify min & max values within each column

print('Minimum & Maximum Income') min_income = min(subdata2['incomeperperson']) print(min_income) max_income = max(subdata2['incomeperperson']) print(max_income) print('')

print('Minimum & Maximum Life Expectancy') min_lifeexp = min(subdata2['lifeexpectancy']) print(min_lifeexp) max_lifeexp = max(subdata2['lifeexpectancy']) print(max_lifeexp) print('')

print('Minimum & Maximum Suicide Rate') min_srate = min(subdata2['suicideper100th']) print(min_srate) max_srate = max(subdata2['suicideper100th']) print(max_srate) print('')

Split up income into percentiles

subdata2['INCGROUPS10']=pandas.qcut(subdata2.incomeperperson, 11, labels=["1=0%tile","2=10%tile","3=20%tile","4=30%tile","5=40%tile","6=50%tile","7=60%tile","8=70%tile","9=80%tile","10=90%tile","11=100%tile"]) inc_dist_percent = subdata2['INCGROUPS10'].value_counts(sort=False, normalize=True, dropna=True) subdata2['INCGROUPS10'] = subdata2['INCGROUPS10'].astype('category') print(inc_dist_percent) print(subdata2)

subdata2['INCGROUPS5K'] = pandas.cut(subdata2.incomeperperson, [0, 5000, 10000, 15000, 20000, 25000, 30000, 35000, 40000, 45000, 50000, 55000, 60000]) subdata2['INCGROUPS5K'] = subdata2['INCGROUPS5K'].astype('category') subdata2['INCGROUPS5K'] = subdata2['INCGROUPS5K'].cat.rename_categories(["2.5k", "7.5k", "12.5k", "17.5k", "22.5k", "27.5k", "32.5k", "37.5k", "42.5k", "47.5k", "52.5k", "57.5k"]) inc_dist_dollar = subdata2['INCGROUPS5K'].value_counts(sort=False, normalize=True, dropna=True) subdata2['INCGROUPS5K'] = subdata2['INCGROUPS5K'].astype('category') print(inc_dist_dollar)

subdata2['LIFEEXPGROUPS5Y'] = pandas.cut(subdata2.lifeexpectancy, [45, 50, 55, 60, 65, 70, 75, 80, 85, 90]) lifeexp_dist = subdata2['LIFEEXPGROUPS5Y'].value_counts(sort=False, normalize=True, dropna=True) subdata2['LIFEEXPGROUPS5Y'] = subdata2['LIFEEXPGROUPS5Y'].astype('category') print(lifeexp_dist)

The following cross table compares income and life expectancy of different groups

print('First, simplified comparison of income and life expectancy') comparison = pandas.crosstab(subdata2['INCGROUPS5K'], subdata2['LIFEEXPGROUPS5Y']) print(comparison)

Univeriate plots

seaborn.countplot(x='INCGROUPS5K', data=subdata2) plt.xlabel('Average Income of Income Group') plt.title('Count distribution of Income per Person')

Biveriate plots

seaborn.catplot(x='INCGROUPS5K', y='lifeexpectancy', data=subdata2, kind="bar", ci=None) plt.xlabel('Income Group') plt.ylabel('Life Expectancy')

seaborn.catplot(x='INCGROUPS5K', y='suicideper100th', data=subdata2, kind="bar", ci=None) plt.xlabel('Income Group') plt.ylabel('Suicide Rate per 100 persons')