Shout out to the cisgender they/thems

A lot of people were very very cute and confused and essentially asked me to decide their gender for them. Eggs? Probably.

UwU I just don't know... I'm totally cis but if someone were to tell me otherwise I guess I could go along with it...

Oh no, I hope they don't pick some cute gender for me

A-are they gonna make me change my pronouns on the bear site? That would be so...!

I think there being only one cis woman on the site comes down to cis women potentially not wanting to reveal that sort of information because men on the internet would inevitably be strange about it.

That said, there's probably only 5-10 more in hiding (if that, even).

It would be interesting to see other instances demographic surveys - have they ever done any?

Wow this site is overwhelmingly AMAB. I knew AMAB people were the majority but I didn't expect it to be that much of a difference.

I guess that's because the site originated from a Reddit community. Would it be worth trying to recruit from more AFAB-dominated communities, like Tumblr or something?

remember when those lemmy nerds were saying we were all faking being a trans inclusive space?

Shoutout to the token cis woman hiding ඞamong usඞ, whoever she is

Got so much respect for the trans posters here, the depression I had growing up stemming from a comparatively light amount of alienation and isolation from my peers took an incredible amount of effort to climb out of, so it seems like an almost supernatural feat to me to be openly trans in these times.

No. Cis woman here if you’re still collecting.

While I get I can't read gender by just asking "Are you trans?" and "Pronouns?", did we not find a single cis woman on this website?

Thanks for doing this, it's very interesting.

We have comparatively few transmen it seems. 3% of the"yes vote" use he/him pronouns, in comparison, 42.4% use she/her.

WE FUCKING DID IT Even though the dataset & stuff is janky, very good results, not entirely surprising.

The amount of gender confusion/questioning in that thread was very cute. Perhaps bugging cis people about their identity more would be productive?

Transfems rule the nation

Almost no cis women, which i suppose is to be expected considering where we came from

Very cool. Great work, and all the love to our trans and questioning comrades. Super great to be part of a place that is so welcoming.

Some people were not cis and did not identify with the words 'transgender' or 'gender diverse'. If I ever do a trans/adjacent survey again, I think I will ask 'Are you cis?'

I know at least one inter person who identifies as cis in spite of medically transitioning. I think the best way to poll gender diversity is if you have trans, inter, nonbinary, questioning and a freeform field for "other" all as not mutually exclusive boxes you can tick.

i just think it's neat!

I'm not a hat

not with that attitude you're not

also i just realized that if i sorted by old i could have gotten the whole data set (i got 300 out of 420ish responses). rip. if anyone else wants to take a gander at it, feel free, im too drunk at this point. its probably roughly the same result, though.

https://hexbear.net/post/2207213

If you think something is fucked, you can do it yourself, the thread is public. Hope you like pie!

Edit: I updated my code, it is now more strict.

Yes: 160
No: 166
Maybe: 37
Total comments gone through: 434

The last few that aren't categories can be gone through manually. I haven't done that.

::: spoiler new code

import requests, json, re

url = "https://hexbear.net/api/v3/comment/list?post_id=2207213&sort=New&limit=50&page="

headers = {"accept": "application/json"}

yes = 0
nos = 0
maybes = 0
comment_num = 0

for i in range(1, 10):
    response = requests.get(url+str(i), headers=headers)
    comments = json.loads(response.text)["comments"]
    
    for comment in comments:
        if comment["comment"]["removed"] == False and comment["comment"]["deleted"] == False:
            comment_num += 1
            comment_content = comment["comment"]["content"]
            if re.search('^(\n?::: spoiler )?no(?!\w)', comment_content, re.IGNORECASE):
                nos += 1
            elif re.search('^(\n?::: spoiler )?yes(?!\w)', comment_content, re.IGNORECASE):
                yes += 1
            elif re.search('^(\n?::: spoiler )?maybe(?!\w)', comment_content, re.IGNORECASE):
                maybes += 1
            else:
                print(comment_content)
                print("-----")

print(f"{yes}, {nos}, {maybes}, {comment_num}")

:::

---

::: spoiler old comment Yes: 150
No: 223
Maybe: 23
Total comments gone through: 436

::: spoiler code

import requests, json, re

url = "https://hexbear.net/api/v3/comment/list?post_id=2207213&sort=New&limit=50&page="

headers = {"accept": "application/json"}

yes = 0
nos = 0
maybes = 0
comment_num = 0

for i in range(1, 10):
    response = requests.get(url+str(i), headers=headers)
    comments = json.loads(response.text)["comments"]
    
    for comment in comments:
        if comment["comment"]["removed"] == False and comment["comment"]["deleted"] == False:
            comment_num += 1
            comment_content = comment["comment"]["content"]
            if re.search('no', comment_content, re.IGNORECASE):
                nos += 1
            elif re.search('yes', comment_content, re.IGNORECASE):
                yes += 1
            elif re.search('maybe', comment_content, re.IGNORECASE):
                maybes += 1

print(f"{yes}, {nos}, {maybes}, {comment_num}")

:::

Hell yeah

Here is a link to the original thread for posterity: Informal Site Survey: Are you transgender or gender diverse? Yes, no, or maybe?

What is gender diverse?

I may be what that is, but I want to make sure I have the right definition.

I am definitely autigender or genderqueer, I feel.

I had an n of 346.

::: spoiler included and excluded

• included: only where the first word was "yes","no","maybe"
• had intended to be case insensitive but realized after everything was done that I accidentally excluded 2 people who answered in all caps
• below in method, this is fixed so if you follow it you will get slight variation
• included: first listed pronoun only (otherwise too complicated)
  • eg: [he/him, comrade/them] = he, [she/her, they/them] = she
  • in Methods spoiler it includes a way to get all 4 if you want but it would need to be cleaned up
• excluded: text in spoilers (too complicated)
• excluded: accounts not on hexbear.net (no pronouns)
• excluded: deleted replies

---

:::

::: spoiler method

• opened the thread and scrolled to the end, I think maybe selecting "chat" button at the top lets you get more responses? Also I tried sorting a couple different ways and copying everything as later it is deduplicated
• note: am using firefox on linux with extensions that might affect the results; I didn't think to disable or anything at the beginning but I would if I were to repeat
• selected all responses and copy to clipboard
• go to https://regex101.com/
• paste in the Test string text box
• on left sidebar select Function > List
• in the Regular expression field (above Test string), paste: /^(\w+) \[(\w+).*\](.*\n.*\n+)(no|yes|maybe)/gim
• in the List field, (below Test string), paste $1;$2;$4;\n
• here I used ; (semi colon) as column delimiter (used semicolon instead of , (comma) for compatibility when scraping all 4 pronouns)

expected output is like this:

useruseruser1;he;Yes;
useruseruser2;he;No;
useruseruser3;he;no;
useruseruser4;she;Yes;
useruseruser5;he;No;

• copy and paste the contents of List text box into a text file results.csv and save

Set up spreadsheet

• use a regular text editor (like notepad.exe on windows) to create a plain text file called template.csv
• paste the following:

"number","UID","pron","ans","concat","pron count","pron count %","ans count","ans count %","cat count","cat count %","keep","n"
"=RANDBETWEEN.NV(10000,99999)",,,,"=CONCAT(C2,""-"",D2)","=COUNTIF(C:C,C2)","=ROUND(F2/$M2,3)*100","=COUNTIF(D:D,D2)","=ROUND(H2/$M2,3)*100","=COUNTIF(E:E,E2)","=ROUND(J2/$M2,3)*100",1,"=COUNTIF(L:L,1)"

• Launch LibreOffice Calc (open source Excel)
• File > Open and select template.csv It should open the text import dialogue. Important settings:
  • Separated by: comma (uncheck the others)
  • String delimiter: " (double quotation marks)
  • Other options: CHECK Evaluate formulas
• This should give you a 2 row spreadsheet
• You might want to use File > Save As to save it as ODS format which allows more features compared to csv. I name this file combined.ods.

Open results

• File > Open and select results.csv. It should open the text import dialogue. Important settings:
  • Separated by: semicolon (uncheck the others) note this is different than the previous step!!
• You should get a new spreadsheet document with 3 colulmns:
  • Column A: usernames
  • Column B: Pronouns
  • Column C: Response (Yes/No/Maybe)
• Drag to select all the text
• Copy to clipboard
• Close this file (once the next part works)

Put results in template

• Go back to your other file, combined.ods
• Select all content of row 2
• drag to fill down several hundred rows (however many results you have)
• Place cursor in cell B2 (blank under column heading UID
• Paste clipboard
• You should get 300something rows inserted to columns B, C, D
• You must delete the extra template rows (otherwise your n will be wrong)
• You must manually edit the column called n (the last column, actually it is column number M) so that each value is 1. by default it will start to count so the values will because 1, 2, 3 etc. Should be 1,1,1.
  • This column controls whether the row is included in the data. If you set the value for 0 it will be excluded. So you can keep data you want to exclude in the sheet.

Now you must know how to use a spreadsheet. I suggest fixing all the answers to be the same case otherwise Yes and yes might be different in some circumstances.

Briefly the columns are: -A: number: assigns a random number so the file can be shared without publishing usernames - anonymizes data but lets you keep a record of how you got the results. How to:

• open a copy of file
• delete the column UID
• sort by column number (otherwise results will still be in the order as on the page and it might be possible to infer information)
• I didn't include it in the template but I actually also checked there were not any duplicate numbers also; you should do this
• B: UID: user name
• C: pron: first pronoun
• D: ans: the answer provided -E: concat: combines columns C and D. Expected output like she-Yes. This is respresented in "Pronoun answer combinations" -F: pron count, H: ans count, J: cat count: absolute number of each -G: pron count %, I: ans count %, K: cat count %: the count value of each as a % of *n* -L: keep: whether to include this line (explained elsewhere) -M: n`: total number of included rows

---

:::

::: spoiler method variation: to capture all 4 pronouns as above except:

• in the Regular expression field (above Test string), paste: /^(\w+) \[(.*)\](.*\n.*\n+)(no|yes|maybe|deleted)/gim

expected output is like this:

useruseruser1;he/him, they/them;Yes;
useruseruser2;he/him;No;
useruseruser3;he/him, des/pair;no;
useruseruse4r;she/her;Yes;
useruseruser5;he/him;No;

subsequent instructions such as the spreadsheet may need adjustment

:::

---

---

RESULTS

For some reason the markdown tables are black text on black text dark grey background on my computer. I can't seem to fix that it's a problem with the website theme. Idk I'm tired of this by now.

---

::: spoiler table: total answer %

ans count %	ans
46.8%	No
43.9%	Yes
9.2%	Maybe
:::

::: spoiler csv: total answer %

percent,answer
46.8%,No
43.9%,Yes
9.2%,Maybe

:::

::: spoiler table: Pronoun answer combinations %

percent	pronoun	answer
35.8%	he	No
25.1%	she	Yes
7.5%	they	Yes
4.3%	comrade	No
3.5%	none	No
3.2%	he	Maybe
3.2%	any	Maybe
2.9%	comrade	Yes
2.6%	he	Yes
2.3%	any	Yes
1.7%	any	No
0.9%	they	No
0.9%	it	Yes
0.9%	fae	Yes
0.6%	they	Maybe
0.6%	she	No
0.6%	she	Maybe
0.6%	none	Yes
0.6%	comrade	Maybe
0.3%	ze	Yes
0.3%	xey	Yes
0.3%	undecided	Maybe
0.3%	none	Maybe
0.3%	love	Yes
0.3%	fae	Maybe
0.3%	e	Yes
0.3%	e	Maybe
:::

::: spoiler csv: Pronoun answer combinations %

percent,pronoun,answer
35.8%,he,No
25.1%,she,Yes
7.5%,they,Yes
4.3%,comrade,No
3.5%,none,No
3.2%,he,Maybe
3.2%,any,Maybe
2.9%,comrade,Yes
2.6%,he,Yes
2.3%,any,Yes
1.7%,any,No
0.9%,they,No
0.9%,it,Yes
0.9%,fae,Yes
0.6%,they,Maybe
0.6%,she,No
0.6%,she,Maybe
0.6%,none,Yes
0.6%,comrade,Maybe
0.3%,ze,Yes
0.3%,xey,Yes
0.3%,undecided,Maybe
0.3%,none,Maybe
0.3%,love,Yes
0.3%,fae,Maybe
0.3%,e,Yes
0.3%,e,Maybe

:::

::: spoiler table: Pronoun answer %

pron count %	pron
41.6%	he
26.3%	she
9%	they
7.8%	comrade
7.2%	any
4.3%	none
1.2%	fae
0.9%	it
0.6%	e
0.3%	ze
0.3%	xey
0.3%	undecided
0.3%	love
:::

::: spoiler csv: Pronoun answer %

percent,pronoun
41.6%,he
26.3%,she
9%,they
7.8%,comrade
7.2%,any
4.3%,none
1.2%,fae
0.9%,it
0.6%,e
0.3%,ze
0.3%,xey
0.3%,undecided
0.3%,love

:::

Does "active Hexbear users" mean this is being compared against a more general metric of site-wide user activity, or is it treating the total responses in the survey post as the amount of active users?

Some people were not cis and did not identify with the words 'transgender' or 'gender diverse'. If I ever do a trans/adjacent survey again, I think I will ask 'Are you cis?'

yeah, probably a decent chunk of us where a more specific label would be more useful but might not exist, or primarily identifying with the umbrella terms might imply something inaccurate or inconvenient.

I forgot to vote!

Yes.

Thank you

Yes

No

this rules thank you

Where was the poll posted originally? I guess I missed it.

This is cool 😎