Channel
@kichiinf
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
12subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002068717495 |
|---|---|
| Type | Channel |
| Username | @kichiinf |
| Description | Б᧘᧐ᴦ - @kichiBlog |
| Created | Between 1 November 2023 and 3 November 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/kichiinf |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 04:16 | 12 | no change |
| 6 Aug 2026, 16:39 | 12 | first reading |
4 posts held, back to 3 November 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 4 posts for this entry, the most recent from 13 March 2024. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
171 reactions across 4 posts, in 7 distinct kinds. The most used accounts for 59.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😡 | 102 | 59.6% | |
| ❤🔥 | 25 | 14.6% | |
| 🍓 | 15 | 8.77% | |
| 💔 | 12 | 7.02% | |
| 💘 | 10 | 5.85% | |
| 💋 | 4 | 2.34% | |
| 💯 | 3 | 1.75% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 4 of the 4 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 171reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 3 November 2023 to 13 March 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
#Факт ᧐δ᧐ ⲙнᥱ 3/? Я д᧐ʙ᧐᧘ьн᧐ ρᥱʙнᥙʙᥲ κ ᥴʙ᧐ᥙⲙ д᧐ρ᧐ᴦᥙⲙ ᧘юдяⲙ, я ϶ᴛ᧐ ᧐ᥴ᧐δ᧐ нᥱ ᥴκρыʙᥲю, н᧐ ᥙн᧐ᴦдᥲ ᧐нᥙ ϶ᴛ᧐ᴦ᧐ нᥱ ᤋᥲⲙᥱчᥲюᴛ.. 𐌑᧐ᥙ д᧐ρ᧐ᴦᥙᥱ дρуᤋья, ᥱᥴ᧘ᥙ я ᴦ᧐ʙ᧐ρю чᴛ᧐-ᴛ᧐ ᥰ᧐ ᴛᥙᥰу "ⲙ᧐ё" ʙ ᥴᴛ᧐ρ᧐ну дρуᴦ᧐ᴦ᧐ чᥱ᧘᧐ʙᥱκᥲ, ᤋнᥲчᥙᴛ ϶ᴛ᧐ ρ᧐ʙн᧐ᥴᴛь, н᧐ ʙ ᥊᧐ρ᧐ɯᥱⲙ ᥴⲙыᥴ᧘ᥱ, ϶ᴛ᧐ нᥱ ᤋнᥲчᥙᴛ чᴛ᧐ я ρᥱʙную κᥲждыᥔ ʙᥲɯ ɯᥲᴦ ᥙ ᴛ.д)
❤🔥5😡5🍓2💘2
#Факт ᧐δ᧐ ⲙнᥱ 2/? Я д᧐ʙ᧐᧘ьн᧐ дρужᥱ᧘юδныᥔ чᥱ᧘᧐ʙᥱκ ʙ ᥴᥲⲙ᧐ⲙ дᥱ᧘ᥱ, н᧐ я ᧐чᥱнь δ᧐юᥴь ᤋᥲʙ᧐дᥙᴛь н᧐ʙыᥱ ᤋнᥲκ᧐ⲙᥴᴛʙᥲ, ᧘учɯᥱ κ᧐ᴦдᥲ ϶ᴛ᧐ ᥰρ᧐ᥙᥴ᥊᧐дᥙᴛ ᥴᥰ᧐нᴛᥲнн᧐, κᥲκ ᥴ ⲙ᧐ᥙⲙᥙ ᧐дн᧐κ᧘ᥲᥴᥴнᥙκᥲⲙᥙ ᥙ᧘ᥙ ᥴ᧐ρ᧐᧘ᥲⲙᥙ. Еᥴ᧘ᥙ я нᥱ ᥊᧐чу ᥴ ʙᥲⲙᥙ ᤋнᥲκ᧐ⲙᥙᴛᥴя ᴛᥲκᥙⲙ ᧐δρᥲᤋ᧐ⲙ κᥲκ: "ⲙ᧐жн᧐ ᥴ ʙᥲⲙᥙ ᥰ᧐ᤋнᥲκ᧐ⲙᥙᴛьᥴя?", — ϶ᴛ᧐ нᥱ ᤋнᥲчᥙᴛ чᴛ᧐ ʙы ᥰ᧘᧐᥊᧐ᥔ чᥱ᧘᧐ʙᥱκ, я ᥰρ᧐ᥴᴛ᧐ нᥱ ᤋнᥲκ᧐ⲙ᧘юᥴь ᴛᥲκᥙⲙ ᧐δρᥲᤋ᧐ⲙ, я ᤋнᥲκ᧐ⲙ᧘юᥴь ᴛ᧐᧘ьκ᧐ ᥴᥰ᧐нᴛᥲнн᧐, ᥙ᧘ᥙ ᥱᥴ᧘ᥙ ᥴᥲⲙ ϶ᴛ᧐ᴦ᧐ ᤋᥲ᥊᧐чу. Ещё я нᥱⲙн᧐ᴦ᧐ …
😡33❤🔥17💔8💋4💘2🍓1💯1
#Факт ᧐δ᧐ ⲙнᥱ 1/? Я нᥱнᥲʙᥙжу κ᧐ᴦдᥲ ⲙнᥱ ᥰᥙɯуᴛ нᥱᤋнᥲκ᧐ⲙыᥱ ᧘юдᥙ, нᥲᥰρᥙⲙᥱρ чᴛ᧐ δы ᥰ᧐ᥰρ᧐ᥴᥙᴛь ᥴдᥱ᧘ᥲᴛь ᧐ɸ᧐ρⲙ᧘ᥱнᥙᥱ, ᥙ᧘ᥙ жᥱ нᥲучᥙᴛь, ᥙ᧘ᥙ чᥲщᥱ ʙᥴᥱᴦ᧐, ᥰ᧐ ᥰ᧐ʙ᧐ду ɯρᥙɸᴛᥲ.. δᥱᥴᥙт Тᥲκ жᥱ δᥱᥴяᴛ ᧐δычныᥱ ᥴ᧐᧐δщᥱнᥙя ᥰ᧐ ᥰ᧐ʙ᧐ду ᤋнᥲκ᧐ⲙᥴᴛʙᥲ, ᥲ ᴛᥲκ жᥱ ᥰρᥙᴦ᧘ᥲɯᥱнᥙя ʙ ρ᧐᧘ᥱʙую, я нᥱ нуждᥲюᥴь ʙ н᧐ʙы᥊ ᤋнᥲκ᧐ⲙᥴᴛʙᥲ᥊, ᥱᥴ᧘ᥙ уж δуду нуждᥲᥱᴛᥴя, нᥲчну дᥱᥔᥴᴛʙ᧐ʙᥲᴛь, ᥲ ᴛᥲκ, ʙы ᥰ᧐᧘ᥱᴛᥙᴛᥱ ʙ δᥲн, ᥙ᧘ᥙ жᥱ я ⲙ᧐᧘чᥲ удᥲ᧘ю чᥲᴛ у ᧐δ᧐ᥙ᥊. 𐋏ᥱ ᥰᥙɯᥙᴛᥱ ⲙнᥱ ᥰ᧐ ⲙᥱ᧘᧐чᥲⲙ, ᥰρ᧐ɯу…
😡47🍓12💘4💔3
. ⟡ ─── ⪩ ꒰ ୨ּ୧ ꒱ ⪨ ─── ⟡ . 𐌺ᥙчᥙ — 𐌏н/𐌏нᥲ 𐌏ᴛн᧐ɯᥱнᥙя: - 🇺🇦🏳🌈 . •─── ─ ── ── ── ─ ───• . 𐌺ᥲнᥲ᧘ы: @kichimya — 𐌡ᥲᥔɸ @kichi_postdesign — В᧘ᥲдᥱ᧘ᥱц @rolkakichi — В᧘ᥲдᥱ᧘ᥱц (заброшено) @yoshishoten — В᧘ᥲдᥱ᧘ᥱц @oformlenie_fordanganronpa — 𑀝ᴛᥲρɯᥙᥔ ᥲдⲙᥙн/зам @Posts_c — ᥲдⲙᥙ…
😡17❤🔥3💘2💯2💔1
Showing the 4 most recent of 4 posts we hold for @kichiinf. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 997,631 of 1,585,381entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
@kichiinf named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 — this entry's latest reading, not the date you are reading this.
“𝑲𝒊𝒄𝒉𝒊'𝒔 𝒊𝒏𝒇𝒐” (@kichiinf), 12 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/kichiinf.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.