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"[Anyone who] throws away their individuality is the same as them dying." — Ryo, Bocchi the Rock! (p. 75)

"I have learned that pleasing everyone is impossible, but pissing everyone off is easy and fun as hell." — Hachiman, Oregairu

Oh, and... (for satirical purposes)

"[...] I just really like girls." — Yoko Taro

Because I'm a dude, of course.

However, my stats don't reflect my actual activities, mainly because I forgot what I watched or read prior to 2018. If I watch with my brother, then there's a good chance that I won't log them; he'd finish them without me and spoil everything anyway. That's how I "finished" Breaking Bad and Better Call Saul. Another reason is that my activities are tracked via Aniyomi. As for old manga/LN, I'm just lazy to log them. 😅

I do have to note that animation quality has less weight on how I score things, among others. If the animation looks like the everest of beauty, then it won't matter if everything else is average or downright disappointing. This is my mindset; and this is thanks to The Last of Us Part 2... It depends on the execution of all elements at this point and it's never measured by a simple sum.


Also looking for study partners for CFA level II, and maybe for GRE or GMAT. Or... Nikke/Genshin. Pm me 👌

------------------ Anime Technical Info (Q4 2024 / Oct – Dec / Fall 2024) ------------------

Completion turnover (completed anime for every plan to watch): 1.3 to 1
Average viewing days per years 13.0 (15% YoY)
Average stop loss rating: 6.8
Resistance / 1 Fibonacci retracement level (in ratings): 7.27
Girlfriend possibility index: 0
Gender identity: Square root of the surface elevation of Lake Motosu, Fujikawaguchiko, Minobu, Yamanashi, Japan divided by 1 meter plus 39
Lowest 3-average threshold (watching 3 consecutive anime): 7
Highest 3-average threshold anime: 7.33
Comparable opportunity cost in terms of time spent: One Piece + Naruto + Boruto
Ratings adjusted for dropped anime: 7.25*

------------------ Rating Methods (because objectivity doesn't exist in personal preference) ------------------

My goal: staying subjective while being consistent about it, or doing things in a vacuum.


Leet-Tier Method: A modified tier list that uses a 10-1 ranking order instead of an S-F ranking order. Basically under the assumption that a category holds no variability and stays absolute. I.e., you can't have a decimal rating, since it assumes that you can measure the magnitude of how much 1 anime is better/worse than the other.

Combined with,

Pairwise Comparison Method: Compares an anime with the rest. The winning anime is higher than the losing one; then proceeds to compare with the rest and repeat. A tie would give both the same score. This requires data with a significant range between the highest and lowest ranking anime, and the assumption that every point (1-10) has its own respective ranking, upper limit, and lower limit. For example, Anime A is the best of the 7/10s while Anime B is the worst of the 7/10s; so if we compare with Anime C, C can NEVER be better than A AND worse than B. And I can't say, "I like Anime C more than Anime A but give it a lower ranking;" that destroys the authenticity of my own preference and shows that it is influenced by outside factors / social influence bias (e.g., Anime A getting more praise while Anime C is getting trashed).

Weighted Variance Method + Normality Indicator : Still working on it.


*weighted average that includes dropped anime, with their ratings assumed to be 1/10