I am a second year university student, and my exam for this module is tomorrow, so I realise this is particularly short notice, but I'm looking for last minute help to try to understand a specific part of maths relating to the statistical ensembles.

In my statistical physics module this year, we study the classical microcanonical ensemble, and the canonical ensemble and grand canonical ensemble, both of those with classical and quantum applications.

In each of these ensembles, I have particular difficulty performing the integrals necessary to find the auxiliary functions, whether that be sigma or Z (subscript N) in the microcanonical and canonical cases, and the partition function Z in the grand canonical case.

I'm essentially just looking to see if anyone can recommend any online resources like websites or videos that explain performing these integrals and how to approach it, if those resources exist. I think my lack of understanding here comes from not being taught how to do the integrals as in depth as I possibly should have been.

Many thanks in advance.

Does anyone know how one can derive the microcanonical, canonical and grand canonical ensembles using gibbs entropy?

So in my thermo class, I learned about partition functions, first on the microscopic scale. Then the professor touched upon the canonical ensemble, but didn't really talk much about it, or really derived other concepts from it. So my question is:

What is the purpose of the canonical ensemble? What can it tell us, that the microscopic analysis cannot, and why?

Note: Haven't covered the "grand canonical ensemble" yet, so try not to talk about that, if that's possible? Thanks!

In a project I'm working on, we'd like to show that certain stereotyped brain areas (represented by shapes at certain locations) are reproducible enough in terms of shape and location to be "classified".

Currently, we apply the Mann-Whitney U test separately on the distances between areas and a landmark-based area metric to each pairwise comparison (with Bonferroni correction) between all identified areas. Independently, I constructed and cross-validated an ensemble classifier that applies k-Nearest Neighbors and a convolutional network trained on the shapes; I tested the trained classifier against one on shuffled labels (the null hypothesis) as a permutation test. Of course, the construction of the Ensemble classifier was informed by priors that would elicit good performance (that shape and location were important) but so was the statistical test.

Is there a compelling reason to use one or the other irrespective of p-value/classifier performance. Is there some resource that describes a theoretical framework of how and when a classifier can/should be used in equivalent or superior capacity to a more traditional statistical test? I was able to find almost no resources on this although this comes close.

Thanks in advance.

Edit 1: Reuploaded images since they weren't processing correctly.

Introduction

This is a continuation of my previous post (which can be found here), which used a web scraper to analyze the metadata of all works under the Minecraft fandom of Archive of Our Own.

Here, I will be analyzing all fics involving Dream, GeorgeNotFound, Sapnap, and/or BadBoyHalo. I included BadBoyHalo primarily to see if the statistics would differ with a content creator who has firmer boundaries than Dream, George, or Sapnap, plus BadBoyHalo has interacted extensively with the "core" trio.

Once again, I am using the ao3-api by Armindo Flores and Python to scrape work metadata from Archive of Our Own.

Methodology

This post is divided into two overarching sections: a rating and warning breakdown - which is identical to the rating breakdown from my last post - and a tag breakdown.

The rating breakdown is largely the same from last time, but in light of some of the comments pointing out correctly that taking a sample of the most viewed fics will results in sampling bias, I have reworked the tag breakdown.

Whereas the last time I only took a sample of the top 800 fics by views and analyzed the tags of those 800 fics due to rate limitations, my new scraper can run overnight to extract the tag metadata of all fics.

As for any concerns that this analysis will miss variants of the characters names, AO3's tagging system allows tags to be merged when filtering or searching for them. So while a fic involving Dream may tag 'dream' or 'clay', all fics with the character tag 'dream' will show up under searches for the overarching character tag ''Clay | Dream (Video Blogging RPF)."

However, tag, character, and relationship names extracted from the fic metadata won't be merged, so various permutations of relationships and the character names will be counted separately in the breakdown.

Rating and Warnings

Rating distribution of each measured fandom in %

The chart above is the rating distribution (by percentage) of 8 categories: each member of the Dream Team and four other fandoms (Harry Potter as a 'standard' fictional fandom, BTS and Men's Hockey RPF as a reference to other fandoms bas

Inspired by u/ PopeDarthPaul's post, I decided a year ago to start reviewing the many films I watch. Bit by bit, writing these short reviews, became my main creative project for 2021.

The combination of being retired, and alone, plus Corona, enabled me to happily watch an average of nearly 3 films per day, and reverted me to the old days 40 years ago, when I studied Film at the University of Copenhagen under Peter Schepelern, and learned about semiotics, history & film theories.

I enjoyed this year tremendously, and intend to continue spending (“wasting”) my time exploring old and new films alike.

Below are some statistics and a short list of a few curious finds.

I called my project “1,000 films” but ended up seeing a total of 'only' 885. Out of these, 122 were documentaries, 41 Shorts and 10 were stand-ups.

I thought of myself as an an all-round cineast, versed in world cinema, interested to discover rare gems old and new. But sadly, after looking at my end-year summery, I realized that this was not the case and I am far from a completist: Only 302 were “foreign films” and at least 198 (22%, and usually of my best-rated films) were films I had seen before, sometimes more than 2-3 times.

Of the “foreign” films, 64 were French, 43 were from the UK, 40 from Denmark, 19 each were Japanese and Italian, 13 from Germany, 10 from Sweden, 9 each from Poland & Israel, 6 each from Iran, Mexico and Norway. Others were from Argentina, Armenia, Austria, Brazil, Catalonia, Chile, Holland, Hong Kong, Hungary, Iceland, India, Korea, Lebanon, Mongolia, Romania, Spain, Turkey, Uganda, USSR and Venezuela.

Initially I was hoping to take a sizable bite out of the many films I hadn't seen before. But the field is much too vast: There are too many masterpieces in Russian, Thai, Arabic, Flemish, Mandarin, Portuguese, Swiss and what-not that I may never be able to see.

In the process, I also fell prey to “NEWS”, the 'Never-Ending Watchlist Syndrome', and ended up with a saved list of over 400 more selections waiting to be consumed.

The year was, to my surprise, also heavily populated by newer films, with 98 from 2021, 73 from 2020, a total of 406 from the last 10 years, and only 61 from before 1960. So, not much of Film-History flair either.

Of the individual directors, I was mostly taken by Anders Thomas Jensen (10 films), Agnès Varda (6), Céline Sciamma (4), A

While Antaria’s senses weren’t quite as sharp above water as they were below, she was still more than capable of taking in the all too familiar acrid stench of oily smoke and melted metal.

The sharklike Edixi woman felt her tail twist from side to side in contentment as she took in the aftermath of her regiment’s most recent victory. They’d caught the Imperials completely by surprise, and now the landscape was littered with the remains of their soldiers and machines.

Were it that I didn’t have to share my victory with others, she thought, grey skinned features twisting into a scowl as she watched a pair of Roach pirates scrambling over the still smoldering hulk of an Imperial IFV in search of possible salvage.

While she could well understand the reason for it, she still couldn’t quite accept the alien’s actions. The dead deserved respect. The enemy had fought and died with honor.

…Though as another unmistakable crackle of gunfire rang out from across the battlefield, she found she envied them that fact.

She envied them the simplicity of it. They had died with an enemy before them and their allies beside. A clear-cut division between the two.

Were that my own service were so simple, she thought.

“How is the mop up proceeding?” she asked, turning to her second.

The other woman, a fellow Edixi - the same as all her fellow soldiers that had joined her in this operation - stood crisply at attention.

“It proceeds at pace,” the Major responded. “Those units that escaped the initial engagement are quickly being run down by our exos or are expected to run into our other forces who have just reported seizing control of the other two landing sites with minimal losses.”

Antaria nodded. Just as planned. Still…

“I hear some hesitance in your voice, Major.”

The woman shuffled a bit in place, head tendrils twitching in place as she subtly shifted her weight from foot to foot - which was a signifier as great as any as to just how uncomfortable the other woman was.

Edixi did not shuffle. They stood straight. Proud. At all times.

“It’s the…” the woman paused as another crackle rang out, a frown twisting her features.

Not that Antaria blamed her for that. The lasers used by most species across the galaxy were all but silent when they fired. But the sound when they hit flesh? Well, the pop was rather unmistakable.

Still, they were soldiers and were more than accustomed to that particular nuance of warfare. If Antaria were to guess, it was the context more

New data from the Canadian Housing Statistics Program show that more than 4 in 10 properties in Iqaluit are not owned by individuals. This is partly because of the presence of government entities, which own 21.5% of all properties.

Check out the Housing Statistics Portal for the most up-to-date housing indicators and more.

[We are Canada’s national statistical agency. We are here to engage with Canadians and provide them with high-quality statistical information that matters! Publishing in a subreddit does not imply we endorse the content posted by other redditors.]

***

Les nouvelles données du Programme de la statistique du logement canadien montrent que plus de 4 propriétés sur 10 n’appartiennent pas à des particuliers à Iqaluit. Cela s’explique en partie par la présence d’entités gouvernementales qui sont propriétaires de 21,5 % de l’ensemble des propriétés.

Visitez le Portail de statistiques sur le logement pour obtenir les plus récents indicateurs de logement et plus encore.

[Nous sommes l’organisme national de statistique du Canada. Nous sommes ici pour discuter avec les Canadiens et les Canadiennes et leur fournir des renseignements statistiques de grande qualité qui comptent! Le fait de publier dans un sous-reddit ne signifie pas que nous approuvons le contenu affiché par d'autres utilisateurs de Reddit.]

Before you begin reading, I would like to note that I graduated in 2020 and enrolled in college in the fall of 2020. I figured some of my stats might help some people on here. A lot of my application focused on some local awards, honors, extracurriculars, opportunities, etc.

also i’m sorry this isn’t perfect i’m going based off of memory for some things and i applied 2 years ago <3

Demographics

• Gender: F
• Race/Ethnicity: Hispanic
• Residence: Upstate NY
• Income Bracket: 18k (family of 4)
• Type of School: Public; Suburban
• Hooks (Recruited Athlete, URM, First-Gen, Geographic, Legacy, etc.): First-Gen, Hispanic (born in an indigenous part of a South American country, moved here when I was 8), Low-Income, worked for the local Broadway Theater League(?)

Intended Major(s): Half of the schools applied were for Philosophy, the other half was for Stage Management (I didn't know if I wanted to pursue academia yet or not, and already had some connections to the theater tech world)

Academics

• GPA (UW/W): 93 UW, School didn't do weighted
• Rank (or percentile): School did not rank, but I think I was like 20/360 for my class
• # of Honors/AP/IB/Dual Enrollment/etc.: Freshman year all regents (not accelerated) classes besides Spanish 2H. Spanish 3H, Global 10H, English 10H, APUSH, APLANG, Spanish 4H, AP Spanish, APGOV, and the advanced Wing Ensemble for 3 years. Self-studied for AP Human Geography, AP PSYCH, and AP LIT. Dual Enrollment involved Syracuse University and the local community college, which included Academic Writing, Statistics, Sociology, and Gender &amp;amp; Sexuality.
  • I would like to note here something that set me apart was that I've taken college courses at the local community college and R1 University since I was 14, with one course at the CC in the fall and spring and 2 courses in the summer at the R1 through a summer pre-college program. GPA at R1 was a 4.0, CC was a 3.92. All through scholarships/grants.
• Senior Year Course Load:
  • Fall: Academic Writing, Golf + Racquet, Wind Ensemble, Sociology, AP GOV, Statistics, AP Spanish, Gender &amp;amp; Sexuality. Did not take an outside college course to focus on college apps.
  • Spring: Mosaics, Outdoor Experience, Wind Ensemble, Health II, AP GOV, Statistics, AP Spanish, Physics. Took Sign Language II at the CC. Pandemic hit this semester.

Standardized Testing

• SAT: 1450 (800 RW, 650 M). Took 8 times, got a 1260 the first time fall semester juni

The Consumer Price Index (CPI) rose 4.7% on a year-over-year basis in October, up from a 4.4% increase in September. This was the largest increase since February 2003. Excluding energy, the CPI rose 3.3% year over year, matching the increase in September. Here are some other key highlights:

• On a monthly basis, the CPI rose 0.7% in October, the largest gain since June 2020 (+0.8%), when energy prices began to recover following steep declines during the early months of the pandemic. On a seasonally adjusted monthly basis, the CPI rose 0.5%.
• Energy prices were up 25.5% year over year in October, primarily driven by an increase in gasoline prices. Compared with October in the previous year, consumers paid 41.7% more for gasoline, as shortages in other energy sources, such as coal and natural gas, led major economies to use more oil for power generation. This contributed to higher prices at the pump.
• Prices for meat products (+9.9%) continued to rise in October, as fresh or frozen beef (+14.0%) and processed meat (+8.5%), which includes bacon (+20.2%), put upward pressure on prices. Labour shortages that have slowed down production, ongoing supply chain challenges and rising prices for livestock feed continued to factor into higher prices for meat.

To learn more about inflation in Canada, visit the Consumer Price Index portal to find all CPI data, publications, interactive tools, and announcements highlighting new products and upcoming changes to the CPI in one convenient location.

[We are Canada’s national statistical agency. We are here to engage with Canadians and provide them with high-quality statistical information that matters! Publishing in a subreddit does not imply we endorse the content posted by other redditors.]

***

L’Indice des prix à la consommation (IPC) a augmenté de 4,7 % d’une année à l’autre en octobre, après avoir progressé de 4,4 % en septembre. Il s’agit de la hausse la plus marquée depuis février 2003. Sans l’énergie, l’IPC s’est accru de 3,3 % d’une année à l’autre, ce

I don't want to step on anybody's toes here, but the amount of non-dad jokes here in this subreddit really annoys me. First of all, dad jokes CAN be NSFW, it clearly says so in the sub rules. Secondly, it doesn't automatically make it a dad joke if it's from a conversation between you and your child. Most importantly, the jokes that your CHILDREN tell YOU are not dad jokes. The point of a dad joke is that it's so cheesy only a dad who's trying to be funny would make such a joke. That's it. They are stupid plays on words, lame puns and so on. There has to be a clever pun or wordplay for it to be considered a dad joke.

Again, to all the fellow dads, I apologise if I'm sounding too harsh. But I just needed to get it off my chest.

This is a list of acts that are potentially playing OSLs 2022. I intend to update this list via edit from now until the lineup drop. If you want to add someone to this list just comment below and I will modify the list and credit your handle next to the edit. If you want to find someone in particular quickly I suggest you use ctrl F.

The list is seeded by user suggestions, predictions, and festivals with historically consistent crossover. All festivals used to seed the list have a 5 act or greater share rate over the course of the last four years.

• Festival Key:

• Ok = Okeechobee: March 3rd-6th

• Co = Coachella: April 15th-17th & 22nd-24th

• Ha = Hangout: May 20th-22nd

• BC = Boston Calling: May 27th-29th

• Fo = Forecastle: May 27th-29th

• GB = Governors Ball: June 10th-12th

• BKS = Best Kept Secret: June 10th-12th

• Bo = Bonnaroo: June 16th-19th

• RW = Rock Werchter: June 30th-July 3rd

• Lo = Lollapalooza: July 28th-July 31st

• Os = Osheaga July 29th-31st

• Fi = Firefly: September 22nd-25th

POTENTIAL HEADLINERS

• Abba (added by /u/amwoods13 on 11/2/21)
• AC/DC (added by /u/sconce2600 on 11/2/21)
• Adele (added by /u/marblebluevinyl on 11/1/21)
• Aerosmith (added by /u/amwoods13 on 11/2/21)
• Arcade Fire (added by /u/mik3l16 on 11/2/21)
• Beyonce (added by /u/amwoods13 on 11/2/21)
• Billy Joel (added by /u/bababooey7789 on 11/1/21)
• Bruce Springsteen (added by /u/amwoods13 on 11/2/21)
• Bruno Mars (added by /u/amwoods13 on 11/2/21)
• Dead & Company (added by /u/jeemsta on 11/3/21)
• Diana Ross (added by /u/amwoods13 on 11/2/21)
• The Eagles (added by /u/Drugba on 11/6/21)
• Eminem (added by /u/amwoods13 on 11/2/21)
• Fleetwood Mac (added by /u/musicfestivelguy94 on 11/4/21)
• Frank Ocean (added by /u/emilyinstantly on 11/2/21)
• Genesis (added by /u/amwoods13 on 11/1/21)
• Green Day (added by /u/amwoods13 on 11/2/21)
• Harry Styles (Co)
• Imagine Dragons (RW) (added by /u/amwoods13 on 11/2/21)
• J. Cole (Bo)
• Jay-Z (added by /u/amwoods13 on 11/2/21)
• Jonas Brothers (added by /u/amwoods13 on 11/2/21)
• Justin Timberlake (added by /u/amwoods13 on 11/2/21)
• Kanye West (Co)
• Katy Perry (added by /u/amwoods13 on 11/2/21

Drive My Car is the sixth film to win these three awards circles. I wanted to look how the past films that won them did at the Oscars. First lets be clear, all the past 5 films were Best Picture Nominees, but all were also American films. The data is below but here is some simple statistics, these five films averaged 8.8 (round up to 9) nominations per film, with average of 3.8 (round up to 4) wins per film.

• Goodfellas: Nominations- 6, Wins- 1 (Supporting Actor)
• Schindler's List: Nominations- 12, Wins- 7 (Picture, Director, Adapted Screenplay, Score, Film Editing, Cinematography, Art Direction)
• LA Confidential: Nominations- 9, Wins- 2 (Supporting Actor, Adapted Screenplay)
• The Hurt Locker: Nominations- 9, Wins- 6 (Picture, Director, Original Screenplay, Film Editing, Sound Editing, Sound Mixing)
• The Social Network: Nominations-8, Wins- 3 (Adapted Screenplay, Film Editing, Original Score)

Some interesting tidbits, all but Goodfellas won screenplay (lost to Picture winner Dances With Wolves) and all five were nominated for Picture, Director, Screenplay, and Film Editing. Looking at other big societies with these five films: 3 of them were NBR Top film (all made top 10), 2 won their Golden Globe category (again all nominated), and 3 of them won BAFTA Best Film (all nominated again).

The last big thing to look at imo is the 4 big guilds (PGA, DGA, SAG Ensemble, and WGA). I've included these below with a * next to the film if it won the award. Note that PGA didn't give nominations for its first award in 1990 and SAG ensemble didn't start until 1995 (after Goodfellas and Schindler's List).

• Goodfellas (DGA, WGA)
• Schindler's List (PGA*, DGA*, WGA*)
• L.A. Confidential (PGA, DGA, WGA*, SAG)
• The Hurt Locker (PGA*, DGA*, WGA*, SAG)
• The Social Network (PGA, DGA, WGA*, SAG)

So what does this imply for Drive My Car? Ultimately not much in terms of wins except to watch out for it especially in Adapted Screenplay, I can't see it winning but I'd be shocked if it isn't nominated at this point. I think at this point watching what the guilds do is our next big thing. If it can get into WGA (if eligible) and one at least of PGA/DGA, its a lock for Picture imo. I personally have it in 10th spot for Picture over a third netflix film, Nightmare Alley, and blockbusters like No Way Home and No Time to Die. I think it may sneak into Director also over either Branagh (most likely) or PTA.

I will say that this is slightly misleading now that I am looking back. Only 26 colleges were applied to, but there were 30 decisions total. This was for class of 2025, but I didn't post in the past because even though it's been more than 6 months, I can't say I'm over these results. I'll add more in the note at the end. To those of you that recognize me, please ignore this and do not send this around. I still am not over my college decisions so I would rather this stay anonymous.

Demographics

• Gender: Male
• Race/Ethnicity: Asian - Han/Hui/Uyghur Chinese
• Residence: Southern California
• Income Bracket: Middle-upper class (did not apply for financial aid)
• Type of School: Competitive Californian public school
• Hooks (Recruited Athlete, URM, First-Gen, Geographic, Legacy, etc.): Legacy at Cornell

Intended Major(s): This is going to get very complicated. I was basically undecided but I applied Astronomy + Religion/Philosophy at almost every university except computer science at UCs (mainly because it is easier to transfer out of CS than transfer into CS at UCs, as opposed to private schools where you don't have to declare your major later, especially that CS was something that interested me)

Academics

• GPA (UW/W): 3.9/4.5
• Rank (or percentile): Unranked
• # of Honors/AP/IB/Dual Enrollment/etc.: 17 APs, 5 courses taken through UCSD summer session (linear algebra, multivariable calculus, vector calculus, organic chemistry 2, organic chemistry 3)
• Senior Year Course Load: 4 APs

Standardized Testing

• SAT I: N/A
• ACT: 35 (35E, 35M, 34R, 36S)
• SAT II: Math II (800), Chemistry (800), Chinese with listening (800)
• AP/IB: Basically all 5s (for the pre-senior year APs) except for a 3 in AP US History and a 2 in AP Music Theory
• Other (ex. IELTS, TOEFL, etc.):

Extracurriculars/Activities

It's been too long for me to remember the details of what I put.

1. Quizbowl - Team captain and led team to 14th place at nationals; ranked top 10 in regular season; coached teams and players - even made youtube videos to help people study
2. Academic Competition Federation - I wrote quizbowl questions for the main college quizbowl organization (I am the first high school student to write for their Regional's tournament, which is the qualifying tournament for the college national championship)
3. Science Olympiad - Was on school's varsity Science Olympiad team. I coached the event Astronomy where all 5 teams from my school swept the top 5 pla

Our new article from the Canadian Housing Statistics Program shows that a larger proportion of properties built in Yukon between 1971 and 1990 are located in census subdivisions close to mining sites, compared with other construction periods. This was partially because of growth in the mining industry.

Here are some more key findings:

• In total, over half (59.3%) of the housing stock in these areas was built between 1971 and 1990.
• Among the properties built since 2006 in Yukon, 81.4% are in the census agglomeration of Whitehorse, where population growth is higher than in the territory as a whole.

Check out the Housing Statistics Portal for the most up-to-date housing indicators and more.

***

Le nouvel article de notre Programme de la statistique du logement canadien montre qu’au Yukon, une plus grande proportion des propriétés construites de 1971 à 1990 sont situées dans des subdivisions de recensement à proximité de sites d’extractions minières comparativement à d’autres périodes de construction. Cela s’explique en partie par la croissance de l’industrie minière.

Voici quelques autres faits saillants :

• Au total, plus de la moitié (59,3 %) du parc immobilier dans ces régions a été construit de 1971 à 1990.
• Parmi les propriétés construites depuis 2006 au Yukon, 81,4 % sont situées dans l’agglomération de recensement de Whitehorse, où la croissance de la population est plus forte que celle de l’ensemble du territoire.

Visitez le Portail de statistiques sur le logement pour obtenir les plus récents indicateurs de logement et plus encore.

Do your worst!

I'm surprised it hasn't decade.

Yes, I know it's a provocative title (intentionally), but if you think this post is geared towards you, I want to assure you that it's likely not. Statistically, it's not.

This post is for the 10% and fewer (the vocal minority) who are review-bombing this thing into oblivion.

Now, if you have honest, genuine, and thoughtful complaints about the show, I get that. I truly do. In fact, I respect you. I have a few issues as well.

But if you're leaving the lowest review possible because it's too "woke" (it's not) or because it's "nothing" like the books (false), then you're clearly still in the anger stage of grief and I hope you quickly snap out of it.

I'm not going to go on about why we should review-bomb the show (even though we shouldn't) so we don't self-sabotage it, because there are plenty of other posts on that in this thread. However, I do want to emphasize that if the show gets canceled (and if it does, review-bombers will have played a role), you are truly delusional if you think we'll get another shot at a legitimate adaptation in our lifetime.

Here's a hot take that I'm going to thoroughly defend:

I think this is a brilliant adaptation. While I wouldn't call the show a masterpiece, I would call it a masterful adaptation. I'm going to give some specific examples below about the choices the show makes vs. what is printed in the books.

Before I start diving deep into the details as to why it's a masterful adaptation (and again, a brilliant one at that), I want you to truly think about how Amazon has treated not only the show, but US as a fandom.

Seriously. Have you seen the Twitter account? Not only do they engage with fans, they do so in a way that it's clear it's not some intern social media manager. Whoever is managing their social media is fans of the books. The way they use references... it's clear that these people have READ the books and have a thorough understanding. It would be impossible for a noob to use some of these references and inside jokes. And that's just the people doing the social media marketing.

That should tell you a lot about the passion and therefore intentions behind the creative decisions being made.

Another example is the soundtrack. We're getting five... FIVE... full albums from Lorne Balfe just for season 1. As a composer, I can tell you that this is virtually unheard of in the industry. We got the conceptual album, and we're getting 1 full album for every two episodes in season 1. **Let me

Hey! I'm not a regular in the subreddit, so I'm not entirely sure if this is an appropriate place to put fanmeta like this. Mods, go ahead and take this down if this isn't the right place for this kind of post. I originally posted this to tumblr, but thought it might be of interest to fans elsewhere, too.

My friends and I have been on an enstars kick since the EN localization was announced. We're big into shipping and fanfiction, so we wanted to see what the most popular couples were for enstars. I recalled that a Japanese twitter user I follow posted some enstars pixiv tag statistics a few months back, so we thought it would be fun to compare the stats for fanfiction posed to pixiv to fanfiction posted to the English fic site, Archive Of Our Own. So here's the most popular 20 ships to write fanfiction about on both Pixiv and AO3:

https://preview.redd.it/eyp88rjt0k981.png?width=845&format=png&auto=webp&s=d4d11f7610a92c7b57782e78240553f8fa3edd91

Plaintext version of the chart in pastebin here. Top 8 ships have been highlighted in different colors for easy comparison. Ships in red text are only present in the top 20 of one site or the other.

Note: I'm just reproducing the top 20 ships on each site based on number of works, and make no claims about whether any ship is good or bad or anything in between.

Measures taken to make the datasets more comparable:

• While the tweet I'm getting my Pixiv stats from included illustration, comic, and fanfiction information, I'm explicitly only using the number of works for each ship in the " 小説 " or short story category. Go check out that tweet if you want to see the most popular ships on Pixiv overall!
• Pixiv stats initially had both positions for each ship listed separately (e.g., ShuMika was listed separately from MikaShu). These have been combined, and they were reordered based on this, in order to make it the same as how AO3 sorts ships. The order of the names in each ship was made the same as how the ship is listed on AO3 (mostly), which is alphabetical by surname.
• AO3 search had the "gen" category excluded (meaning it was only ship fics) to make it more comparable to the enstars bl tag being used in the pixiv stats, which would only have shippy works.
• Under the assumptio

For context I'm a Refuse Driver (Garbage man) & today I was on food waste. After I'd tipped I was checking the wagon for any defects when I spotted a lone pea balanced on the lifts.

I said "hey look, an escaPEA"

No one near me but it didn't half make me laugh for a good hour or so!

Edit: I can't believe how much this has blown up. Thank you everyone I've had a blast reading through the replies 😂

It really does, I swear!

Because she wanted to see the task manager.

Heard they've been doing some shady business.

They’re on standbi

Hi everyone! This post was obviously inspired by u/momo2503 (go check out their post here). I really liked the idea of the post, but I thought it would make more sense for a college freshman to do it so the class of 2022 can be more informed going into the admissions cycle.

I'm currently a freshman at [university], and I was always curious on how accurate this sub actually is. Since I never actually posted a chance me when I was a high school senior, let's see if you all can predict which colleges I got into! I'll post the results of my admission in a week or two, and I'll also talk about my admission file (PART TWO HERE)

Demographics: Male, East Asian (Chinese), US Citizen (Michigan), private college prep school (around 150 in class), no finaid

Intended Major(s): Computer Science

ACT/SAT/SAT II: SAT 1590 (Math 800 EWR 790), ACT 36 (36 in all categories), 800 in SAT Math II and Chemistry subject tests

UW/W GPA and Rank: (4.0/4.0 unweighted, my school doesn't do weighted GPA). Ranked around top 2-3 in class.

Coursework: I took an all-honors course load, pretty much all the hardest courses my school has to offer.

AP Classes: Chinese, European History, Chemistry, US History, BC Calculus, Physics C Mechanics, Physics C E&M, Computer Science A (all 5)

Took AP Spanish, AP Gov, and AP Statistics in senior year

Awards:

1. Qualifier for 2020 Regeneron ISEF (Cancelled due to COVID-19), 1st place at Michigan Science and Engineering Fair (11th grade)
2. 3rd Place at Michigan Science and Engineering Fair, 2nd place at Science and Engineering Fair of Metro Detroit (10th grade)
3. National Spanish Exam Gold Medal (9, 10, 11th grade)
4. National Merit Scholarship Semifinalist (11th grade)
5. Association of Chinese Americans Best All-Around Scholarship (12th grade)

Extracurriculars:

Paid Work:

Research Assistant at T20 university. Conducted research in monocular depth estimation with convolutional neural networks, collaborated with graduate researchers. I'm pretty sure I was the first high schooler to work in the AI labs at the university. (11th grade).

AI and Python Instructor, small company. This company was started by my friend's mom during quarantine and basically just consisted of online classes. I designed a course on deep learning t

BamBOO!

I’m currently a junior in high school and wondering if I am somewhat qualified to get into these reach schools. I have not gotten the best grades until now, primarily because of mental health issues that I’ve worked on, and are no longer impacting my schoolwork. I currently have all As in my hardest course load of high school years, and I’m hopeful and determined that it will carry on to the end of my high school career. Here are my stats:

Background: Black (Somali) Muslim, First Generation student coming from a low-income and immigrant household, suburban public school in Minnesota

Honors/AP/IB/Dual Enrollment Courses:
Middle School+Freshman Year: Honors Intermediate Algebra, Honors Geometry, Honors Advanced Algebra, Honors English 9, Honors Physics, Honors Precalc, Honors Civics

Sophomore Year: Honors Spanish 3, Honors English 10, Honors Chem, APUSH, AP Stats (missed AP exam, will be taking junior year as self-study),
(I took AP Calc ABC, but had to drop because of schedule changes and low grade, will take the AP exam as a senior)
AP Exam Score: APUSH-3

Junior Year: Honors Orchestra, IB English 11 HL, IB Biology SL, AP US Gov, IB Spanish 4 SL, IB Theory of Knowledge, Honors African American History, AP Euro/IB History HL 11 (counts as the first year of IB History while being AP Euro)

AP Exams: AP US Gov, AP Euro, AP Psych (self-study, not offered), AP Stats (self-study, missed AP Exam)

Senior Year Courses: Honors Orchestra, IB English 12 HL, IB Middle East/African Studies HL 12, IB Spanish 5 HL, College Honors Microeconomics, College Honors Public Speaking, AP Physics 1, Honors Debate II, Physical Geography (@ local CC), Drugs & Health (@ local CC)

IB Exams: IB English HL, IB History HL, IB Spanish HL
AP Exams: AP Lang, AP Physics 1, AP Spanish Lang, AP Calc BC (self-study, missed exam/class), AP Environmental Science (self-study, finish lab requirement)

I will also receive a bilingual seal in Spanish from the state of Minnesota, and potentially finish an Associate of Arts the summer after graduation.

GPA and Rank: will end junior year with a 3.1/3.2 unweighted (out of 4) and a 3.2/3.3 weighted, still probably in the bottom 50%

Extracurriculars:
Chamber Orchestra (most selective orchestra of my school, rehearsals in the mornings, ensemble contests, and small gigs)
Presidential Volunteer Service Award Gold(3x)
Debate Team (Varsity/Unofficial Captain for 3 years)
Lacrosse (nothing worthy, sophomore-se

1. APUSH
2. AP Gov (AP Comp Gov Sem 1, AP US Gov and Politics Sem 2)
3. Honors English 11
4. AP Physics 1
5. Honors FST (Functions, Statistics, Trigonometry, this course is essentially pre-calcus)
6. Wind Ensemble (Band)
7. Peer Tutoring (an elective where you can tutor other kids in previous courses you’ve taken)
8. Possibly another elective or i’ll just do a study hall

Pilot on me!!

Does anyone know how one can derive the microcanonical, canonical and grand canonical ensembles using gibbs entropy?

Edit 1: Reworded some sentences and phrases for clarity.

Edit 2: As a clarification, the tags, relationship, and character numbers are all out of the 800 most viewed fics (about the top 1% of fics) in the Minecraft Fandom, NOT the total amount of fics with those tags in the fandom. As a rough extrapolation, you can multiply the numbers by 100 (for just the Minecraft Fandom) or 200 (to encompass the Video Blogging RPF fandom) to get a general idea about the absolute number of fics with that tag/relationship in the fandom (or just search that tag).

I'm aware that sampling the 800 most popular fics, as opposed to random sampling, will result in bias, but that's a choice I made consciously to include the opinion of the readers (through views) in this analysis. People who write fanfiction do tend to be more passionate than readers, given that they put in the time to write about their favorite fandoms, so I think factoring the number of views a fic gets helps represent the broader MCYT fandom, as opposed to just the community of MCYT fanfiction writers.

Introduction

Outside of this subreddit, I have seen multiple complaints that the fandom excessively sexualizes content creators and that MCYT has trouble reigning in their fanbase from creating pornographic content of them.

However, is that idea merely based on anecdotal evidence and a few problematic stans being extremely vocal, or is there a larger problem with the community?

Instead of working On my own time, I decided to scrape Archive of Our Own to see if the reputation MCYT fanfiction has for sexualizing content creators is warranted, and I've compiled my findings below.

I used the ao3-api by Armindo Flores and Python to scrape the Minecraft fandom on Archive of Our Own.

If you want to explore the results further, here's a link to the data I scraped from AO3: https://www.dropbox.com/sh/glp7i7hrdg5ncth/AACWkueaWw_Nvi8SdIjLK9ala?dl=0

Ratings and Warnings

The easiest indicator of sexualized and pornographic content is the rating and warnings the AO3 uses for fanfiction. For those who aren't aware, the rating system classifies works into 4 categories (plus an Unrated category) that indicates what audience is the work appropriate for. General and Teen tend to be family friendly and lack anything more explicit than hugging and kissing (or cut to black if sex is mentio