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African-American Appreciation Thread - Not Actually an Appreciation Thread
I've seen a few comments wondering why niggers are so stinky, and since I've also noticed they are stinky, I decided to look into it.
A study was done in 2016 named "The Effect of Ethnicity on Human Axillary Odorant Production". And while the study confirmed they are objectively stinky (at least compared to east asians and whites), scientists aren't sure exactly why.
Body odor is caused by volatile organic compounds (vocs), with the two main compounds being: 1. E-3M2H (E-3-methyl-2-hexenoic acid)
2. 3H3M (3-hydroxy-3-methylhexanoic acid).
African Americans create the most E-3M2H and 3H3M compared to east asians and whites.
They also tested eight smaller volatile acids, which influence body order to a lesser degree. Niggers typically scored higher on these as well.
But what specific gene or pathway causes black people to create so much more of these volatile compounds? Scientists aren't sure, and even though they weren't able to tie their odor to a specific gene, in the last paragraph of the study they still say:
"Overall, our findings suggest that an individual’s ethnicity has
a significant impact on human axillary odor production."
And yes, I have tried to find newer research that attempts to find why niggers are so stinky, but I haven't found any.
I've seen a few comments wondering why niggers are so stinky, and since I've also noticed they are stinky, I decided to look into it.
A study was done in 2016 named "The Effect of Ethnicity on Human Axillary Odorant Production". And while the study confirmed they are objectively stinky (at least compared to east asians and whites), scientists aren't sure exactly why.
Body odor is caused by volatile organic compounds (vocs), with the two main compounds being: 1. E-3M2H (3-hydroxy-3-methylhexanoic acid) 2. 3H3M (3-hydroxy-3-methylhexanoic acid).
African Americans create the most E-3M2H and 3H3M compared to east asians and whites.
They also tested eight smaller volatile acids, which influence body order to a lesser degree. Niggers typically scored higher on these as well. Ver archivo adjunto 9253952
But what specific gene or pathway causes black people to create so much more of these volatile compounds? Scientists aren't sure, and even though they weren't able to tie their odor to a specific gene, in the last paragraph of the study they still say:
"Overall, our findings suggest that an individual’s ethnicity has
a significant impact on human axillary odor production."
And yes, I have tried to find newer research that attempts to find why niggers are so stinky, but I haven't found any.
Used to work with a few extremely large black guys in various jobs, bar security and the like. Its been my experience that the bucks of this sort just have an inherent musk to them. One was a College D1 defensive tackle. He could very clearly be straight out of the shower and still have that negro stink to him (no shade, he was quite a clean individual and a rare negro that showed up to work on time and did his job). I currently live next door to a family of groids from Africa. The odor they leave as a whole is what I experienced from the college DT x10, it wafts through the general area they inhabit. Repulsive.
When I worked fast food, I remember one time a jacket was in the break room. Normally you wouldn't care; it was just one of the members who accidentally left their jacket behind. They'll pick it up another time. This time I did care because it smelt like body odour, and that's all you could smell in the break room... We had to throw 6 boxes of drinks away because the BO had clung to the boxes overnight.
My manager just instructed me to throw the jacket away and said that we'd buy them a new one if they complained. Lo and behold, a few days later and the only african nigger in the store was bitching about how someone "stole" his jacket.
The mystery of the smelly jacket and the absent nigger had been solved.
Posts By Month How many posts landed in each calendar month across the thread's whole life. Peaks mark the thread's hottest stretches; valleys are its quiet spells.
Cumulative Posts The thread's total post count as it grew over time. Steep sections are bursts of activity; flat sections are lulls. The final height is the thread's total size.
Unique Posters By Month How many different people posted in each month - the thread's breadth of participation, as opposed to raw volume. A tall bar means the month drew a wide crowd.
First-Time Posters By Month How many people made their FIRST post in the thread each month. Early months are naturally high; later spikes mean the thread pulled in fresh blood (a viral moment, a link from elsewhere).
Reaction Totals Every reaction type ranked by how many were given across the whole thread. This is the thread's emotional fingerprint at a glance.
Top Posters The 15 most prolific posters by raw post count. Labels show exact totals.
Longest Posts On Average The top 15 users by average words per post, quoted text excluded. Only users with at least 3 posts qualify. Each user's total post count is shown next to their name.
Spotlight Reactions By Month Month-by-month counts for the spotlight reactions. Crossovers show the thread's mood shifting - for example a month where Dumb overtakes Winner.
Reaction Use Over Time All reactions given each month, stacked by type (top 8 types shown). The total height is the month's overall engagement; each band's thickness is that reaction's share of it.
Positive vs Negative Reactions Positive reactions (Like, Winner, Informative, Feels, ...) against negative ones (Dumb, Dislike, Horrifying, ...) month by month. Where the lines converge, the thread was at its most divisive; a wide gap means broadly well-received months.
Media Mix What people actually posted besides text. Attachments are classified by file extension, so an attached .jpg counts as an image and an attached .mp4 as a video.
Posts By Hour And Day When the thread is alive: post counts by day of week (rows) and hour of day in UTC (columns). Bright cells are the thread's prime time.
Top Link Hosts The domains the thread links to most. A quick read on where the thread gets its receipts, videos, and outside reading.
Tracked Word Groups How many posts matched each configured word/phrase group (the regex groups in CONFIG). Edit CONFIG['word_patterns'] to track different themes.
Common Meaningful Words The thread's vocabulary: top words after removing quoted text, filler words, and folding plurals. Only words used by at least 5 different people count.
Word Cloud The same common-word data as a cloud: bigger type means more uses. Purely for flavor.
Page Activity Posts (left axis, blue) and total reactions (right axis, red) for every page of the thread. Pages where red spikes above blue held unusually reaction-heavy moments.
Post Length vs Reactions Each dot is one post: how long it was against how many reactions it drew. Media-only posts with zero words are excluded so the text-length relationship isn't distorted.
Most Posts Total The thread's 15 biggest posters. For each: total posts, total reactions received, and - for six spotlight reactions - the count received plus what share of that user's overall reactions it makes up.
Highest Share Of Posts With A Informative What fraction of a user's own posts got at least one Informative. A user needs at least 5 posts to appear here.
Highest Share Of Posts With A Thunk-Provoking What fraction of a user's own posts got at least one Thunk-Provoking. A user needs at least 5 posts to appear here.
Best And Worst Posters A composite Poster Score for everyone with more than 10 posts. The formula: 40% net reactions per post (positive minus negative), 25% hit rate (share of posts that got any reaction), 20% positivity (positive vs negative balance), 10% reaction variety, 5% post length. Each part is standardized against the qualifying group, so 0 is average.
Top Posters (Best Scores) The highest composite scores among qualifying users.
Widest Reaction Range Posts The posts that drew the largest variety of DIFFERENT reaction types. The last column lists every reaction the post received with its count. Post numbers link to the posts.
Common Meaningful Words The thread's most-used words. Quoted text, filler words, and plural duplicates are removed, and a word only counts if at least 5 different people used it. 'Users' is how many distinct people used the word.
Rank
Word
Uses
Posts
Users
1
black
7,548
3,799
651
2
nigger
6,843
3,801
540
3
white
5,323
2,833
498
4
time
2,491
1,823
403
5
shit
2,057
1,567
377
6
year
2,050
1,398
320
7
fucking
1,746
1,270
300
8
video
1,731
1,321
338
9
back
1,520
1,193
326
10
right
1,377
1,088
286
11
african
1,173
834
290
12
police
1,168
739
197
13
women
1,156
787
237
14
take
1,153
911
249
15
fuck
1,143
917
297
Tracked Word Groups
The configurable regex groups, with what they ACTUALLY matched: the top variations and how much of the group's total each one accounts for. Everything past the top variations is rolled into one row.
George Floyd 161 total matches from 69 users. The variations below are what the regex actually caught in the text.
Rank
Variation
Instances
Share of group
1
floyd
161
100%
Nigger 7,389 total matches from 563 users. The variations below are what the regex actually caught in the text.
Rank
Variation
Instances
Share of group
1
nigger
3,853
52%
2
niggers
3,294
45%
3
nigs
126
2%
4
nig
116
2%
Sheboon 249 total matches from 91 users. The variations below are what the regex actually caught in the text.
Rank
Variation
Instances
Share of group
1
sheboon
182
73%
2
sheboons
59
24%
3
she-boons
5
2%
4
she-boon
3
1%
Post Milestones Who made each 1,000th post. Position is counted in strict post-ID order over the scraped posts; posts deleted before the scrape are not counted, so numbering can differ slightly from the forum's live counter.
Honorary Dontavius Enward Washington Award With the most sophisticated part of the analysis, factoring in over two dozen variables, every person's posts ITT were assessed with stylometrics. After factoring in dozens of data points, the code selects the person ITT most likely to secretly be a you-know-what.
Damn, here I thought I was being an arch racist but FACTS & LOGIC have shown that not to be the case. I hereby resolve to be even more of a nigger hater in the 2nd half of 2026 and beyond.
lol well technically speaking with them out of business everybody's banned from Spirit Airlines now. Rare nigger W though to actually score a coveted Actual Ban™ from Spirit though while they were still operating though.
I've started a folder to collect examples of them using computers and AI. Please post all you've got.
I look forward to the day that an AI company gets hacked and we get to see what people are saying to chatGPT and the like. I bet it's such a demoralizing experience to have admin access at one of these companies, and to have assumed you can use the queries as training data in the future, only to look at the data and realize that a lot of it is retards struggling to express their thoughts.
Keep in mind, these people don't have an internal monologue. As a result, having to articulate something concrete requires System 2 activation, and we know how that usually goes.
Anyway, thread tax: Some of these you'll have seen before, but the scary music really sells it. Also warning for a dick in the first clip.
The Irish who dug New Orleans' drainage canals were slaves in all but name, but no one told them. They were paid, but only in pennies and the cheapest booze and food. If they weren't happy, they were free to go back to enjoying the potato famine in Ireland.
Fun fact, lots of those "no Irish or dogs" signs came from New Orleans shops and bars.
Same thing with the Northeastern mill towns. Workers had to live in company towns packed 6 to a bedroom and got paid in company Monopoly money that could only be used at stores that marked prices up for everything. If they didn't like it, they could quit and go back to the London slums.
Louisiana also had a lot of German indentured servants where their paperwork kept conveniently getting forgotten when their term was up. They also picked cotton and died from malaria.
House niggers had it better than those people, but only niggers could ever be slaves because niggers say so. Das rite cracka.
Best And Worst Posters A composite Poster Score for everyone with more than 10 posts. The formula: 40% net reactions per post (positive minus negative), 25% hit rate (share of posts that got any reaction), 20% positivity (positive vs negative balance), 10% reaction variety, 5% post length. Each part is standardized against the qualifying group, so 0 is average.
Samreen Akhtar was considered one of the brightest new barristers on the circuit as she built a profile by speaking out against prejudice suffered by young black and Asian aspiring lawyers.
It isn't prejudice when you hominids continue to prove over and over again that every single stereotype about you and your inexpicably-numerous enablers is completely accurate.
BTW, for those unfamiliar with the Bonglander's usage of the term "Asian", it refers to Mohammedans ー mostly Pakistani ー not Chinese, Japanese, and such. Very interestingly, the article does not capitalise the word "black". Some word goblin just earned himself an extra struggle session for that crime.
This. This is why niggers and other mammalian trash can kill whites in the UK (and Europe, etc.) with near-impunity.
