Boyish giggles: The analytics from 1 week of activity on a meme website SmokeyBaxter Follow May 9, 2018 · 4 min read

I want to be completely transparent. On May 2nd, DrDisRespect finally had enough and took to Twitter to vent his frustration with pixels and the Twitch communities using them. “Boyish giggles”, was a phrase he tweeted as a response. Similar to covfefe (at a much smaller scale), “Boyish giggles” was a super unique phrase. Once I saw it, I instantly thought to purchase the domain name and make something incredibly stupid.

Upon launching, the website boyishgiggles.com was an instant success, a true example of 15 minutes of fame. But what are the numbers? Over the week I have collected myriad data that shows how memes spread, who finds humor in it, and what kind of platform they use.

For data collection I used Google Analytics (googlesen) and logs from the web server. Over the course of a week 30,000 sessions were created by 25,973 new users [1], and almost 50,000 unique IPs were used [2].

Continents

Europe had the strongest showing, with 12,664 (48.85%) users strong. The Americas were next, with 10,713 (41.32%). Oceania and Asia had 2,435 (9.39%). Lastly, Africa had the lowest amount at 114 ( 0.44% VI LOST ZULUL) [1]

Top Cities

London — 366 users

Sydney — 310

Helsinki — 302

New York — 277

Melbourne — 258

Stockholm — 253

Brisbane — 170

Toronto — 158

Los Angeles — 158

Although the cities listed aren’t too interesting, I thought it was cool that Australia had three cities on the list even though they made up 5.04% of total users [1].

Top Countries

United States — 8,632 (33.24%) users

United Kingdom — 2,503 (9.64%)

Germany — 1,570 (6.05%)

Canada — 1,389 (5.35%)

Sweden— 1,340 (5.16%)

Web Browser

Chrome — 69.06%

Safari — 14.43%

Firefox — 5.80% (OMEGALUL)

Wii Internet Channel — <0.0033%

Who even uses Firefox anymore? It’s getting sad. There was one user who accessed the site with the Wii Internet Channel.

Age

18–24 was 56.90% of total viewership, 25–44 showcased 42.74%. Which leaves us with our oldest viewers, ages 45–54 (0.36%) don’t seem to enjoy infidelity memes like the rest of us. These stats coincide with Twitch’s average audience, meaning the website did not spread outside the Twitch circle [3].

Gender

Gender diverges from Twitch’s norm [4]. This truly shows who finds humor in a streamer’s infidelity and it’s not women. Of the user who viewed the website, 98.04% of them were men. Let’s say we take our sample size and bring it to a total of 100 people, if DOC were to chose two people at random to cheat with back to back, he would have a 0.02% chance of picking two women.

back to back

Social Media

There was a lot of social media interaction, namely Reddit and Twitter. Below is the most popular tweet (as in bringing users into the site) [5].

normies FeelsWeirdMan

import re as reeeeeeeeeeeee



with open('access.log.total', 'r') as text_file:

data = text_file.read().replace('

', '')



index = [m.start() for m in reeeeeeeeeeeee.finditer("https://t.co/", data)]

twitter = [data[i:i+23] for i in index] # find twitter urls



count = {}



for n in twitter:

if n in count:

count[n] += 1

else:

count[n] = 1

Above is Python code I used to find the total amount of twitter interaction.

There was also a huge flow of users directly from Reddit. Four threads/comments brought the most:

Reddit linked almost 17,000 users to boyishgiggles.com, which is well over 50% of total engagement. [5]

Youtube engagement brought in 1,426 users, Googlesen brought 935, and Facebook had 340. [5]

Final Thoughts

There was one user from Uganda and also one user who used the Wii Internet Channel. This is not a coincidence. BRUCE U IS COMING ZULUL.

I BELIEVE ZULUL — KAZERKE

If you’re interested in more stupid things I’ll make in the future please follow me on Twitter (DON’T SMASH IT).

— Smokey Baxter

[1] “Google Analytics Solutions — Marketing Analytics & Measurement,” Google Search. [Online]. Available at: https://www.google.com/analytics/. [Accessed: 09-May-2018].

[2] Smokey Baxter. (2018). Information provided in Apache log files, using client IP. [online] [Accessed 9 May 2018].

[3] Statista. (2016). Distribution of Twitch users worldwide as of 3rd quarter 2016, by age group. [online] Available at: https://www.statista.com/statistics/634057/twitch-user-age-worldwide/ [Accessed 9 May 2018].

[4] Statista. (2018). Distribution of Twitch users worldwide as of 3rd quarter 2016 by gender. [online] Available at: https://www.statista.com/statistics/633937/twitch-user-gender-worldwide/ [Accessed 9 May 2018].

[5] Smokey Baxter. (2018). Information provided in Apache log files, using referrer header. [online] [Accessed 9 May 2018].