vastava

In which I use data to compare Star Wars Legends and Canon, and explore the repercussions of non-canonizing much of the Star Wars extended universe.

Live through the wild events of 2020, through the lens of the most popular articles on Wikipedia.

In which I determine the slang words that took over the Internet in 2020, using Google Trends and data science!

In which I use data to compare the channel growths of Shane Dawson and Jenna Marbles six months after the pair made apology videos and left Youtube for past offensive content.

Given the current brawl between Reddit and Wall Street, I wanted to make an animated timeline of the "meme stock" share prices at the center of it, and also of various trading subreddits' growth.

In which I debunk Spiffing Brit's latest video about how community posts are supposedly a "glitch" that can be used to game Youtube's recommendation algorithm.

In which I scraped and analyzed a ton of Rotten Tomatoes data to examine why Wonder Woman 1984's Rotten Tomatoes score dropped so quickly, and whether or not this has happened for other films.

Animated data visualization of the best-selling manga issues by week. Data was scraped from Oricon's weekly top 10 ranking of manga sales, and was auto-translated using Google Translate's API.

In which I use manga sales and anime viewership data to analyze Attack on Titan's insane popularity.

In which I debunk the 2020 Vision channel, a new internet hoax that can seemingly "predict" a celebrity death before it happens, and has a lot of people freaked out. I use my background in data science, open source investigation and Youtube studio to get to the bottom of this mystery!

In which I point out an emerging trend in superhero television of surreal stylistic shows that center around mental health, trauma etc. Minor spoilers for Wandavision, Doom Patrol, Legion and Umbrella Academy!

In which I explain why BitClout is a horrible idea, seems like a scam and has many disturbing implications for creators and their fans! Bad stuff let's discuss

In which I analyze the evolution of Youtuber takedown (from diss tracks to the 40 minute callout video) videos with data!

In which I talk about why I love UC Berkeley, and struggle with it as an institution.

In which I ...