Case (
case) wrote in
fandomsecrets2015-05-01 06:46 pm
[ SECRET POST #3040 ]
⌈ Secret Post #3040 ⌋
Warning: Some secrets are NOT worksafe and may contain SPOILERS.
01.

[Once Upon a Time]
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02.

[Tree of Savior]
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03.

[Disturbed's 'Indestructible']
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04.

[Whitechapel]
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05.

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06.

[Bill Bailey]
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07.

[Total War: Warhammer]
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08.

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09.

[Morph]
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10.

[Harry Potter]
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11.

[FFXIV, RuPaul's Drag Race]
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12.

[Monstrous Regiment by Terry Pratchett]
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13. [SPOILERS for Nightcrawler, Gone Girl]

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14. [SPOILERS for Devil Survivor]

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15. [SPOILERS for Age of Ultron]

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16. [SPOILERS for Broadchurch]

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17. [WARNING for incest, abuse, suicide, and probably necrophilia]

[Sankarea]
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18. [WARNING for abuse]

[Steven Universe]
Notes:
Secrets Left to Post: 00 pages, 000 secrets from Secret Submission Post #434.
Secrets Not Posted: [ 0 - broken links ], [ 0 - not!secrets ], [ 0 - not!fandom ], [ 0 - too big ], [ 0 - repeat ].
Current Secret Submissions Post: here.
Suggestions, comments, and concerns should go here.

no subject
I don't think that's the limit of it. For instance, if rape rates are significantly higher for people serving the military--that's a trend that would be perfectly plausible to incorporate into a fantasy setting, unless the fantasy society or military structure is so drastically different that there's a plausible reason why it would differ.
That's why 'most people' actually do think the 1-in-whatever stat really does mean 1-in-whatever without taking the context into account at all.
'Most people' is not that relevant when talking about fandom spaces, which are disproportionately more educated than the general population. A lot of the information that allows one to truly understand research methods and statistics is picked up in college.
no subject
(Anonymous) 2015-05-02 04:13 am (UTC)(link)And FWIW, I have two degrees and neither of them taught the first thing about statistics. I chose to self-study myself later, but not everyone is going to bother.
no subject
Of course not. You can see where I talk about that phenomenon here. I do think having actual knowledge of research and statistics methods does help in being able to understand and critique statistical data one is presented with, even if it doesn't make you immune to bias or framing. You might at least be able to say "hmm this looks fishy. I want to see the methodology before I believe this" whereas someone with no education in research methods would have less of a chance of spotting methodological flaws because they have no training in watching for them.
And FWIW, I have two degrees and neither of them taught the first thing about statistics. I chose to self-study myself later, but not everyone is going to bother.
Generally, the social sciences, the humanities, and STEM fields are ones in which people will have picked up information about research and stats. Not everyone has a degree in one of those areas, but those make up a lot of the college graduates.
Mind sharing what you have your degrees in?