Announcement, Recruitment, Discussion Thread | Looksmax.org Historical Data Exploration

Do you want to get notified when I release the eye-opening results?


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thecel

thecel

morph king
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I’ll scrape data from a statistically random sample of .org threads throughout the forum’s history to discover trends. I’ll find evidence-based answers to the following questions:
  • Is the forum going to shit?
  • Is the forum rising or declining?
  • Are reacts and reputation more scarce than before?
  • Is the average post quality decreasing?
  • Is the forum being innundated by greycels?
Vote in the poll if you want me to mention you in the results thread.
 
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@enchanted_elixir @Ellipsis
 
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the avg post quality is decreasing
 
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The looksmax section has 100% gone to shit
 
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How will you test for these questions? Average like count?
 
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the avg post quality is decreasing

Let’s find out.

The forum has a little over 700,000 threads.

I will gather data from 1,400 threads. 200 samples from every set of 100,000 threads in chronological order.

I’ll make a graph that shows the average length and reading level for each of the 7 groups of 100K threads.

Let’s see if the metrics are going upwards or downwards.
 
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it definitely went to shit and the quality has decreased a lot

u can tell by the dates of the best of the best section

all threads from years ago
 
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How will you test for these questions?

The site assigns every thread an ID number in ascending order. Currently there’re a little more than 700,000 threads here.

I will gather data from 1,400 threads. 200 samples from every set of 100,000 threads in chronological order.

I’ll measure key metrics in every sampled thread, including but not limited to:
  • number of replies
  • number of reacts
  • number of unique members participating in the thread
  • body text length
  • replies’ texts’ lengths
  • reading level
  • sentence capitalization
  • frequency of incel language e.g. rope, cope, subhuman, incel, Chad, Stacy
  • account ages of participating members
  • proportion of uncapitalized sentences
  • what subforum the thread is in
 
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the avg post quality is decreasing
There's nothing left to say. At his point it shouild be obvious that 90% of attractiveness comes from race and phenotype, which can't be changed. Softmaxxing is a meme and surgeries are better discussed with a doctor.
 
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The site assigns each thread an ID number in ascending order. Currently there’re a little more than 700,000 threads here.

I will gather data from 1,400 threads. 200 samples from every set of 100,000 threads in chronological order.

I’ll measure key metrics in every sampled thread, including but not limited to:
  • number of replies
  • number of reacts
  • number of unique members participating in the thread
  • body text length
  • replies’ texts’ lengths
  • reading level
  • sentence capitalization
  • frequency of incel language e.g. rope, cope, subhuman, incel, Chad, Stacy
  • account ages of participating members
  • proportion of uncapitalized sentences
You are G
 
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it definitely went to shit and the quality has decreased a lot

u can tell by the dates of the best of the best section

all threads from years ago
Because pretty much everything that matters has already been widely discussed here. What's the point of making guides on something everyone knows
 
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Let me guess: niggas been saying that the forum is shit and all the “good users” have left for years. I bet it’s all the same.
 
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It’s gone to shit relative to 2020-2021 or lookism but 2018-2019 was equally low quality just less people
 
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2020 golden era
 
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‘mirin autism
 
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The site assigns every thread an ID number in ascending order. Currently there’re a little more than 700,000 threads here.

I will gather data from 1,400 threads. 200 samples from every set of 100,000 threads in chronological order.

I’ll measure key metrics in every sampled thread, including but not limited to:
  • number of replies
  • number of reacts
  • number of unique members participating in the thread
  • body text length
  • replies’ texts’ lengths
  • reading level
  • sentence capitalization
  • frequency of incel language e.g. rope, cope, subhuman, incel, Chad, Stacy
  • account ages of participating members
  • proportion of uncapitalized sentences
  • what subforum the thread is in
Whoa, mirin the parameters for this experiment.

How long do you estimate this will take you? If you ever want assistance I'm more than glad to help out on this.
 
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Whoa, mirin the parameters for this experiment.

How long do you estimate this will take you?

Long as fuck. A major concern I have is the load placed on the .org servers and if I’ll get IP-banned for loading 1,400 threads in too short of a time.

In the final graphs, there’ll be 7 bins (groups of 100K threads) per graph, and the visual widths of the bins will be proportional to the length of time each bin takes up in the timeline of Looksmax history. Like this:

MG0F7.jpg


Major historical events, such as Lookism’s death, will be indicated.

If you ever want assistance I'm more than glad to help out on this.

:love:
 
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@Ellipsis

Average word count of the 1st post in a thread that contains a “dnr” reply

Do you think the above metric is increasing, decreasing, or flatlined?
 
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@Ellipsis

Average word count of the 1st post in a thread that contains a “dnr” reply

Do you think the above metric is increasing, decreasing, or flatlined?
I'd say peaked sharply in early years and then flatlined, or maybe currently increasing slightly.
 
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Is the average post quality decreasing?
Interesting thread, but you’d need to list the criteria for what constitutes a quality post or not.
 
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Interesting thread, but you’d need to list the criteria for what constitutes a quality post or not.
I feel like the concept of "quality" in this situation could be adequately defined by the metrics outlined previously:
The site assigns every thread an ID number in ascending order. Currently there’re a little more than 700,000 threads here.

I will gather data from 1,400 threads. 200 samples from every set of 100,000 threads in chronological order.

I’ll measure key metrics in every sampled thread, including but not limited to:
  • number of replies
  • number of reacts
  • number of unique members participating in the thread
  • body text length
  • replies’ texts’ lengths
  • reading level
  • sentence capitalization
  • frequency of incel language e.g. rope, cope, subhuman, incel, Chad, Stacy
  • account ages of participating members
  • proportion of uncapitalized sentences
  • what subforum the thread is in
The term "quality" is gonna be inherently subjective, but since most established users here have a general, "built-in" sense of what a good quality thread is and a bad quality thread is, it shouldn't be too difficult to outline or describe in the post-experiment discussion.
 
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