
writer? gimmick spawner? l #mityosha ⚛️🐾 dumps l i may often rep late but i love interacting TT
anxiety hell
Joined July 2022
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lei. ˖˚⊹ ꣑ৎ | MITYA HAVER retweeted
so does that mean, since Mitya grew up in a teplo oasis, he used to have a tan? a soft, steady one, and in early childhood his chubby cheeks were always red because they got sunburnt
his parents probably sighed wistfully over his paleness >
lei. ˖˚⊹ ꣑ৎ | MITYA HAVER retweeted
Observations on Specialist Mitya
#GenshinImpact #Mitya
Mitya is a rare genius, and you'd be hard-pressed to find another scholar quite as mischievous as he is.
Which is probably why every new hire ends up paying him just a little more attention than usual.
Here are some observations from a newly hired researcher. Let's see what they found~
lei. ˖˚⊹ ꣑ৎ | MITYA HAVER retweeted
seeing people already dismiss the symbol on mitya's hair as red herring or redundant after his bg story is revealed when i've been saying that it's about something bigger than just "angel pattern"
the symbol means to emphasize that his character embodies the concept of reason!
#mityosha short threadfic ;
about alyosha and teplo oasis
Every time Mitya sees Alyosha, he reminds him of home.
From the golden of his eyes, reminiscent of the abundant shiny Fairy Wormwoods. The mint of his hair, like the tips of lanternberry trees leaves.
lei. ˖˚⊹ ꣑ৎ | MITYA HAVER retweeted
Replying to @sandrionette
or: the implication of mitya going out of his way to commission some artist for custom merch of his rebel friend with a dog and his bodyguard to match with his merch of the prima ballerina and prima donna of the korolevskiy troupe 😭
lei. ˖˚⊹ ꣑ৎ | MITYA HAVER retweeted
Mitya's character trailer: ✅
Alyosha mukbang compilation: ✅✅✅✅✅✅✅
hoyo heard my cries for alyosha allowing himself to just be moe not worry abt money n eat his comfort foods
lei. ˖˚⊹ ꣑ৎ | MITYA HAVER retweeted
Watch mitya's trailer or else
Character Trailer - "Mitya: Everything's in Order" | Genshin Impact
#GenshinImpact #Mitya
Any experiment involving energy comes with its share of risks, so everyone on the job needs to stay sharp at all times.
So it never hurts to ask yourself a few questions. Is the schedule still under control? Are the data likely to stay stable? And, just to be safe, is there any chance you might finish ahead of schedule?









































