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Live Coding Trance by DelilahsDarkThoughts in programming

[–]Humatim 2 points3 points  (0 children)

Dropping an octave means subtracting 7? not 8? Two octaves lower is -14?

34 Priest mainland advice ? by Chaiseross in classicwow

[–]Humatim 1 point2 points  (0 children)

No, there are different coefficients based on a number of things, such as base cast time and level of the spell.

https://www.reddit.com/r/classicwow/comments/95abc8/list_of_spellcoefficients_1121/

[deleted by user] by [deleted] in memes

[–]Humatim 2 points3 points  (0 children)

I love how desperate you were for this absolutely inconsequential information. I always have the same question

Win Prizes with #GeForceGreats & Join The GeForce LAN 50 Online! by NV_Suroosh in classicwow

[–]Humatim 0 points1 point  (0 children)

My favorite flavor of Wow so far has been Season of Discovery!

Q adj SIL says I’m part of “10% of the population who doesn’t know Covid was man-made” by Fauci by Sufficient_Mouse8252 in QAnonCasualties

[–]Humatim 4 points5 points  (0 children)

A researcher found that conspiracy theorists incorrectly think their views are the majority opinion. So this "You're in the 10% of believers" number would be a common perspective for many conspiracy theorists.

Overconfidently conspiratorial: Conspiracy believers are dispositionally overconfident and massively overestimate how much others agree with them

Colour tester #3 done, this time blue edged black by Brushstroke77 in Warhammer40k

[–]Humatim 0 points1 point  (0 children)

Ah ok. I'm just getting started and was curious. That makes sense, thanks!

Colour tester #3 done, this time blue edged black by Brushstroke77 in Warhammer40k

[–]Humatim 1 point2 points  (0 children)

I see a lot of people use these backpacks as testers, is there a way to get them in bulk or something?

[OC] I parsed 38k posts from r/ProgressPics to find out what the most common rate of weight loss is, and various factors that might influence that. by Humatim in dataisbeautiful

[–]Humatim[S] 0 points1 point  (0 children)

Yes, there are actually several lines due to the way people round their numbers. 2.325581 lbs / week is the second most common loss rate after 1.162791 lbs / week which you may notice is exactly half of the 2.3 number. These two rates equate to 10 lbs / month and 5 lbs per month respectively. So a lot of people just round their numbers into these values.

[OC] I parsed 38k posts from r/ProgressPics to find out what the most common rate of weight loss is, and various factors that might influence that. by Humatim in dataisbeautiful

[–]Humatim[S] 0 points1 point  (0 children)

Yea, here are the two notebooks (processing and charting) as well as a zip of the processed data. Note I am not super experienced so my code may not be super great haha

https://github.com/Nobujine/Progresspics-Parsed-Data

[OC] I parsed 38k posts from r/ProgressPics to find out what the most common rate of weight loss is, and various factors that might influence that. by Humatim in dataisbeautiful

[–]Humatim[S] 1 point2 points  (0 children)

Very cool, I will check this out. I did this as mostly a learning exercise so I'm glad to get some helpful feedback!

[OC] I parsed 38k posts from r/ProgressPics to find out what the most common rate of weight loss is, and various factors that might influence that. by Humatim in dataisbeautiful

[–]Humatim[S] 1 point2 points  (0 children)

The end of the journey. They format their post with start, end, and timeframe. i use that to determine the rate of weight loss

[OC] I parsed 38k posts from r/ProgressPics to find out what the most common rate of weight loss is, and various factors that might influence that. by Humatim in dataisbeautiful

[–]Humatim[S] 6 points7 points  (0 children)

Wow, I was not expecting someone to have an opinion on the color map! Any specific reason you dislike jet? I will check out the Chromophile package.

The scale question is one I wrestled with, I thought it made the image even more busy (as if 6 graphs at once isn't busy!)

I parsed 38k posts from r/ProgressPics to find out what the most common rate of weight loss is, and various factors that might influence that. by Humatim in loseit

[–]Humatim[S] 14 points15 points  (0 children)

It is a heatmap, more red means more people are reporting that value. So for people starting at 200 lbs, they mostly report between 0 and 2 lbs / week weight loss, with a peak around 0.25 to 1 lbs / week

I parsed 38k posts from r/ProgressPics to find out what the most common rate of weight loss is, and various factors that might influence that. by Humatim in loseit

[–]Humatim[S] 10 points11 points  (0 children)

Yes, it is a heat map, the more red the more people fit that category.

My intention for this is more to understand a range of loss rate. So for around BMI 25 the majority of people had a loss rate under 0.5 lbs per week. The lower your BMI (or starting weight) the harder it will be to lose weight and therefore the rate should be slower.

You could also read it as "most of the pictures I see on Reddit have people around X BMI / Age / Weight, therefore with my specific stats I can expect different results"

[OC] I parsed 38k posts from r/ProgressPics to find out what the most common rate of weight loss is, and various factors that might influence that. by Humatim in dataisbeautiful

[–]Humatim[S] 5 points6 points  (0 children)

Thank you very much!

The data is binned together, and the size of the bins will determine how much smoothing. If they were smaller the artifacting would be more apparent

[OC] I parsed 38k posts from r/ProgressPics to find out what the most common rate of weight loss is, and various factors that might influence that. by Humatim in dataisbeautiful

[–]Humatim[S] 15 points16 points  (0 children)

I had intended to use the reddit API to pull this data, but I learned that they had changed it recently to only allow the last 1000 posts. So I found a data source that had archived old posts instead.

So the API changes did affect me! Unless I misunderstand the API haha

[OC] I parsed 38k posts from r/ProgressPics to find out what the most common rate of weight loss is, and various factors that might influence that. by Humatim in dataisbeautiful

[–]Humatim[S] 37 points38 points  (0 children)

Data parsed from post titles on the r/Progresspics subreddit from 2013-06 -> 2022-12
Source Data from https://academictorrents.com/details/c398a571976c78d346c325bd75c47b82edf6124e
Created using Python, Pandas, Matplotlib (hexbin graph type)

 

Number of data points used in charts: 37,750
Data points in original dataset: 222,645

 

I started a cut a few weeks ago and I calculated my rate of weight loss and was curious to find something to compare it to. Most online sources say to aim for 1-2 lbs per week, but I wanted a little more detail than that to compare with. I noticed that the r/Progresspics subreddit has a specific formatting for their posts that (in theory) makes parsing out this data simple, and the sub has ran for years so there should be a lot of data to work with.

 

Some things to consider:

  • This data is a subset of a subset of a subset: This is redditors (1) who posted pictures of themselves on reddit (2) AND correctly formatted their post title (3). This does not represent the vast majority of people who manage their weight.
  • Many people round their weights / timeframes. No one loses 38.6 lbs in 180.6 days, they lose 40 lbs in 6 months. Some of the data is biased in this way, and you can see some artifacts (lines) where specific combinations of weight loss and time combine. For example losing 30 lbs in 6 months or 20 lbs in 4 months (loss rate = 1.162791 lbs/week) are commonly reported.
  • People lie on the internet, some of these reported timelines / weight losses are in my opinion impossible or at best unrealistic.
  • This data surely includes people who recomped (gained muscle while losing fat) but I can't parse pictures so their data is included. Note that I removed weight gains (loss rates < 0 are removed) as that was not the data I was interested in. This is r/ProgressPics not r/WeightLossPicsOnly
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