y'all can stop sending me asks about whether i consider femboy a slur btw, this is stupid fucking discourse. just like any other label it is okay to use for yourself, be it as a gender non conforming guy, a non binary person or even a transfem, but just randomly applying it to other people is obviously shitty and can be done with derogatory intent. most use of the word, especially in queer spaces, such as on tumblr, is self describing or about people who self describe as such. you don't have to be comfortable with the term yourself, or with being called that, but that doesn't mean other people using it for themselves or referring to people who use it for themselves is somehow derogatory. we also don't have discourse about whether tomboy is a slur now do we?
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Today my therapist introduced me to a concept surrounding disability that she called "hLep".
Which is when you - in this case, you are a disabled person - ask someone for help ("I can't drink almond milk so can you get me some whole milk?", or "Please call Donna and ask her to pick up the car for me."), and they say yes, and then they do something that is not what you asked for but is what they think you should have asked for ("I know you said you wanted whole, but I got you skim milk because it's better for you!", "I didn't want to ruin Donna's day by asking her that, so I spent your money on an expensive towing service!") And then if you get annoyed at them for ignoring what you actually asked for - and often it has already happened repeatedly - they get angry because they "were just helping you! You should be grateful!!"
And my therapist pointed out that this is not "help", it's "hLep".
Sure, it looks like help; it kind of sounds like help too; and if it was adjusted just a little bit, it could be help. But it's not help. It's hLep.
At its best, it is patronizing and makes a person feel unvalued and un-listened-to. Always, it reinforces the false idea that disabled people can't be trusted with our own care. And at its worst, it results in disabled people losing our freedom and control over our lives, and also being unable to actually access what we need to survive.
So please, when a disabled person asks you for help on something, don't be a hLeper, be a helper! In other words: they know better than you what they need, and the best way you can honor the trust they've put in you is to believe that!
Also, I want to be very clear that the "getting angry at a disabled person's attempts to point out harmful behavior" part of this makes the whole thing WAY worse. Like it'd be one thing if my roommate bought me some passive-aggressive skim milk, but then they heard what I had to say, and they apologized and did better in the future - our relationship could bounce back from that. But it is very much another thing to have a crying shouting match with someone who is furious at you for saying something they did was ableist. Like, Christ, Jessica, remind me to never ask for your support ever again! You make me feel like if I asked you to call 911, you'd order a pizza because you know I'll feel better once I eat something!!
Edit: crediting my therapist by name with her permission - this term was coined by Nahime Aguirre Mtanous!
Edit again: I made an optional follow-up to this post after seeing the responses. Might help somebody. CW for me frankly talking about how dangerous hLep really is.
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AO3 Ship Stats: Year In Bad Data
You may have seen this AO3 Year In Review.
It hasn’t crossed my tumblr dash but it sure is circulating on twitter with 3.5M views, 10K likes, 17K retweets and counting. Normally this would be great! I love data and charts and comparisons!
Except this data is GARBAGE and belongs in the TRASH.
I first noticed something fishy when I realized that Steve/Bucky – the 5th largest ship on AO3 by total fic count – wasn’t on this Top 100 list anywhere. I know Marvel’s popularity has fallen in recent years, but not that much. Especially considering some of the other ships that made it on the list. You mean to tell me a femslash HP ship (Mary MacDonald/Lily Potter) in which one half of the pairing was so minor I had to look up her name because she was only mentioned once in a single flashback scene beat fandom juggernaut Stucky? I call bullshit.
Now obviously jumping to conclusions based on gut instinct alone is horrible practice... but it is a good place to start. So let’s look at the actual numbers and discover why this entire dataset sits on a throne of lies.
Here are the results of filtering the Steve/Bucky tag for all works created between Jan 1, 2023 and Dec 31, 2023:
Not only would that place Steve/Bucky at #23 on this list, if the other counts are correct (hint: they're not), it’s also well above the 1520-new-work cutoff of the #100 spot. So how the fuck is it not on the list? Let’s check out the author’s FAQ to see if there’s some important factor we’re missing.
The first thing you’ll probably notice in the FAQ is that the data is being scraped from publicly available works. That means anything privated and only accessible to logged-in users isn’t counted. This is Sin #1. Already the data is inaccurate because we’re not actually counting all of the published fics, but the bots needed to do data collection on this scale can't easily scrape privated fics so I kinda get it. We’ll roll with this for now and see if it at least makes the numbers make more sense:
Nope. Logging out only reduced the total by a couple hundred. Even if one were to choose the most restrictive possible definition of "new works" and filter out all crossovers and incomplete fics, Steve/Bucky would still have a yearly total of 2,305. Yet the list claims their total is somewhere below 1,500? What the fuck is going on here?
Let’s look at another ship for comparison. This time one that’s very recent and popular enough to make it on the list so we have an actual reference value for comparison: Nick/Charlie (Heartstopper). According to the list, this ship sits at #34 this year with a total of 2630 new works. But what’s AO3 say?
Off by a hundred or so but the values are much closer at least!
If we dig further into the FAQ though we discover Sin #2 (and the most egregious): the counting method. The yearly fic counts are NOT determined by filtering for a certain time period, they’re determined by simply taking a snapshot of the total number of fics in a ship tag at the end of the year and subtracting the previous end-of-year total. For example, if you check a ship tag on Jan 1, 2023 and it has 10,000 fics and check it again on Jan 1, 2024 and it now has 12,000 fics, the difference (2,000) would be the number of "new works" on this chart.
At first glance this subtraction method might seem like a perfectly valid way to count fics, and it’s certainly the easiest way, but it can and did have major consequences to the point of making the entire dataset functionally meaningless. Why? If any older works are deleted or privated, every single one of those will be subtracted from the current year fic count. And to make the problem even worse, beginning at the end of last year there was a big scare about AI scraping fics from AO3, which caused hundreds, if not thousands, of users to lock down their fics or delete them.
The magnitude of this fuck up may not be immediately obvious so let’s look at an example to see how this works in practice.
Say we have two ships. Ship A is more than a decade old with a large fanbase. Ship B is only a couple years old but gaining traction. On Jan 1, 2023, Ship A had a catalog of 50,000 fics and ship B had 5,000. Both ships have 3,000 new works published in 2023. However, 4% of the older works in each fandom were either privated or deleted during that same time (this percentage is was just chosen to make the math easy but it’s close to reality).
Ship A: 50,000 x 4% = 2,000 removed works
Ship B: 5,000 x 4% = 200 removed works
Ship A: 3,000 - 2,000 = 1,000 "new" works
Ship B: 3,000 - 200 = 2,800 "new" works
This gives Ship A a net gain of 1,000 and Ship B a net gain of 2,800 despite both fandoms producing the exact same number of new works that year. And neither one of these reported counts are the actual new works count (3,000). THIS explains the drastic difference in ranking between a ship like Steve/Bucky and Nick/Charlie.
How is this a useful measure of anything? You can't draw any conclusions about the current size and popularity of a fandom based on this data.
With this system, not only is the reported "new works" count incorrect, the older, larger fandom will always be punished and it’s count disproportionately reduced simply for the sin of being an older, larger fandom. This example doesn’t even take into account that people are going to be way more likely to delete an old fic they're no longer proud of in a fandom they no longer care about than a fic that was just written, so the deletion percentage for the older fandom should theoretically be even larger in comparison.
And if that wasn't bad enough, the author of this "study" KNEW the data was tainted and chose to present it as meaningful anyway. You will only find this if you click through to the FAQ and read about the author’s methodology, something 99.99% of people will NOT do (and even those who do may not understand the true significance of this problem):
The author may try to argue their post states that the tags "which had the greatest gain in total public fanworks” are shown on the chart, which makes it not a lie, but a error on the viewer’s part in not interpreting their data correctly. This is bullshit. Their chart CLEARLY titles the fic count column “New Works” which it explicitly is NOT, by their own admission! It should be titled “Net Gain in Works” or something similar.
Even if it were correctly titled though, the general public would not understand the difference, would interpret the numbers as new works anyway (because net gain is functionally meaningless as we've just discovered), and would base conclusions on their incorrect assumptions. There’s no getting around that… other than doing the counts correctly in the first place. This would be a much larger task but I strongly believe you shouldn’t take on a project like this if you can’t do it right.
To sum up, just because someone put a lot of work into gathering data and making a nice color-coded chart, doesn’t mean the data is GOOD or VALUABLE.
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