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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.

To be blunt, I watch anime more frequently since 2020—because I lost faith in the western entertainment industry. The Last of Us Part 2, Disney Star Wars, and recently, MCU Phase 4, are notable catalysts. They're no longer trustworthy in my eyes; they became a risk. Thankfully, anime is so diverse that you can always find a hidden gem for every disappointment.

That aside, I'd rather have stats with a score greater than 7, rather than having a lower one. Why? It means I've watched a lot of good anime relative to bad ones. It's a good investment. If my stats go below 7, I would watch anime that I've personally picked as part of an insurance plan to compensate such decline. Basically I find someone with a high affinity (>45%) and a low score deviation; then I select anime with good scores. Although it's a technical way of watching anime and is similar to hedging, I have to keep in mind that watching bad anime would cost time—and I'm the guy who wants to have the most satisfaction while spending the least time.

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.


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

------------------ Technical Info (Q1 2024 / Jan – Mar / Winter 2024) ------------------

Expected C/P (completed per plan to watch): 4 to 1
Plan-to-watch turnover (watching per plan to watch): 1 to 5
Average viewing days per year: 13
Expected average ratings increase per year: 0.4%
Average stop loss rating: 6.7
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): 6.66~
Highest 3-average threshold anime: 7.33
Comparable opportunity cost in terms of time spent: One Piece + Naruto + Boruto


------------------ 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.