all 33 comments

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[–]A_normal_numan 31 points32 points  (12 children)

I expected ketamine to be more popular.

Also it seems crazy to me that anyone would buy crack over the internet.

[–]NanoStuff 5 points6 points  (0 children)

Yea, some people are nuts. A few dollars of grocery baking soda is enough for a lifetime of home made crack.

[–]antioxidant_666 1 point2 points  (0 children)

Ketamine is very hard to find , dealers which are mainly from China do not ship from their country because it is very risky .

[–]fofs77 3 points4 points  (8 children)

That was my first thought too.

Ketamine is awesome

[–]kittenTakeover -2 points-1 points  (0 children)

Did you know that crack has a racist history? It was typically bought by black people because it was a cheaper form of cocaine, and it was given something like a 100x stronger jail sentence.

[–]juche 7 points8 points  (1 child)

One of these is not labeled.

Orange one near the bottom.

[–]Theriley106OC: 2[S] 12 points13 points  (0 children)

Good catch! It looks like that is supposed to be GHB or gamma-Hydroxybutyric acid, and it makes up 1.63% of total mentions.

[–]ThisApril 15 points16 points  (1 child)

The data collected is impressive, and I'm glad you did it.

The presentation is a pie chart, which I think is a cardinal sin, here.

I guess I would have liked to see them ordered somehow, or presented in a way to easily see the relative popularity of the drugs.

And having them grouped by type would have been nice, too. I don't know drug types well enough, but I'd expect that, maybe, "uppers", "downers", or "opium derivatives" or similar groups might be interesting.

As it is, what I get from this chart is the MDMA, LSD, Cocaine, and maybe marijuana are fairly popular on DarkNetMarkets.

[–]microscone 1 point2 points  (0 children)

I agree. The Data is splendid, and the question asked is totally interesting. But the Viz is not up to par with the other two. Colors are repeated but for no logical "grouping" reason(it made me think MDMA and Marijuana had something to do with each other). I think the author, who is clearly clever, could have come up with a better eay of displaying the data. Really cool work, though.

[–]Theriley106OC: 2[S] 4 points5 points  (6 children)

I analyzed ~2,000,000 /r/DarkNetMarkets comments/posts, and counted the occurrences of DEA Drug Slang/Code Words to visualize the most popular substances being discussed on the forum.

If anyone is interested in the data surrounding the visualization. I was able to grab the comment/post data from the Reddit Bigquery Dataset published by /u/Stuck_In_the_Matrix

DEA Drug Slang Words were grabbed using OCR on the DEA Resource Center PDF Handout and compiled into JSON

Python was used for interacting with all of the datasets, and the visualization was created using Chart.js

[–]Stuck_In_the_Matrix 2 points3 points  (2 children)

Great work! That's really interesting!

[–]Theriley106OC: 2[S] 1 point2 points  (1 child)

Thank you so much!

Also, awesome work with the Reddit BigQuery data set! I've been using it a ton over the past few days!

[–]Stuck_In_the_Matrix 1 point2 points  (0 children)

I'm glad you are finding cool uses for it. My goal when I first started the project was to give people such as yourself access to a ton of data to do cool analysis like you have done.

Also, I have just recently released December Reddit comments and submissions. Let me know if you have any ideas / suggestions / etc.

[–]AndThenThereWasBro 0 points1 point  (2 children)

Sorry but where can I find this data? The reddit bigquery does not seem to work unfortunately.

[–]sweatyuncle_steve 0 points1 point  (1 child)

I think you might have used too many of all of the drugs..