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Channel

⸮ 𝐊ℐ𝐋𝐋𝐈𝑵𝐆 ᛝ 𝗂𝗇𝖿𝗈 ⸝⸝

@infoKILLING

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

4subscribers

+1 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003791429161
TypeChannel
Username@infoKILLING
Descriptionᛝ 𝖽𝗆 :: @D3ATHBR1NG3R^᪲᪲ ⏝︶ 𝐚𝒏ℴ𝐧 :: @killingANONbot⃕ ͠aʀⲧ ⲥʀ :: @libelle92 ; @akomyon ; @odadozkin ; @kasyaandkotya .
Created9 August 2026measured — dated from the channel’s first post
First recorded13 August 2026
Last confirmed live13 August 2026
Measurements held3
On Telegramt.me/infoKILLING

Growth

343.59 August 2026 — 3 subscribers10 August 2026 — 4 subscribers13 August 2026 — 4 subscribers9 August 202613 August 2026
3 measurements spanning 4 days, net +1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3–4 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 06:304no change
10 Aug 2026, 07:154+1
9 Aug 2026, 14:493first reading

Engagement

9 posts held, back to 9 August 2026the 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.

ERR · 30 days
3384.4%
avg views ÷ 4 subscribers
Avg views / post
135
8 posts measured
Reaction rate
46.4%
reactions ÷ views · ER floor
Posts in window
9
of 9 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 6 of 8 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held9 (9 August 202611 August 2026)
Views total1,083
Reactions total478
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 06:30 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Links
4

Lifetime counters from Telegram’s own channel header, read 13 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.

Reaction mix

478 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 25.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 546088897941711746112225.5%
custom 545870398352475100512025.1%
custom 546082799517647951311924.9%
custom 546082565441929927711724.5%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 6 of the 9 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 478reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 9 August 2026 to 11 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

9 Aug 2026, 18:46 UTC184 views84 reactionsread 13 August 2026
File

⏝︶🤩 ⃫🤩🤩 ゙⃞ 🤩͠ 🤩🤩ᵗ᷒ᰰ

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9 Aug 2026, 18:41 UTC183 views73 reactionsread 13 August 2026

Posted without readable text

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9 Aug 2026, 18:16 UTC175 views86 reactionsread 13 August 2026

⠀ ⃫🤩🤩⃕𝘩ℯ𝘳𝘦 𝘺ℴ𝘶 𝘤𝒂n 𝘦𝘹𝘱𝓇𝒆𝘴𝘴 𝒚𝘰𝓊𝘳 𝐨𝐩𝒊𝐧𝒾𝐨𝐧 𝘢𝒷𝒐𝘶𝘵 𝒎𝒆 𝒐𝓇 𝘮𝘺 𝒊𝓃𝒇𝒐 ꒷꒦🤩🤩゙⃞ 𓌔 𓈒 🤩🤩͠ 𝐟𝐥𝐨𝐨𝐝 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐝𝐞𝐥𝐞𝐭𝐞𝐝 ⌣⏝ 🤩

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9 Aug 2026, 18:10 UTC168 views79 reactionsread 13 August 2026

⠀𓌔 𓈒 🤩 ⌢⏜ 𝐥𝐨𝐯𝐞 𖹭 𝐥𝐢𝐬𝐭 🤩🤩 . . 🤩 ⌣︶@𝒽𝑒𝑙𝑙𝑒𝒏𝑑𝑒𝑟🤩, @𝑘𝑟𝑖𝒆𝑚𝒽𝑖𝑙𝑑🤩, 🤩 @𝒍𝑖𝓁𝑦𝑎🤩, @𝒆𝑐𝒽𝑜🤩, @𝑓𝒊𝑛𝓎𝑎🤩, @𝑗𝑎𝒸𝒌🤩, @𝑙𝑒ℴ𝑛𝒂🤩, @𝒽𝑜𝑠𝒽𝑖𝒏𝑜🤩, @𝑐𝒓𝑎𝒻𝑡𝑖🤩, @𝑎𝒗𝒶𝑛🤩, @𝑗𝒊𝓂𝑚𝑦🤩, @𝑘ℯ𝑛𝒊𝑜🤩, @𝑎𝓈𝑦𝒂🤩 . . 🤩🤩🤩 ᛝ 🤩𝂅ׄ 𝗍𝗁𝖾 𝗈𝗋𝖽𝖾𝗋 𝗱𝗼𝗲𝘀 𝗻𝗼𝘁 𝗺𝗮𝘁𝘁𝗲𝗿⃕🤩🤩^᪲᪲

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9 Aug 2026, 18:04 UTC164 views78 reactionsread 13 August 2026

🤩 ᛝ 𝐚𝒏ℴ𝐧 𖣃 𝗽𝗹𝒶𝘆𝗹𝒊𝘀𝘁 𖣃 𝗉𝒂𝖼𝓀𝗌 𖣃 𝐬𝒽𝒑𝆭 🤩ᵗ᷒ᰰ 🤩𝗽𝒾𝒄𝘀 𖣃 𝐩𝐨ℯ𝒎𝐬 𖣃 @𝑱𝑫𝑯.𝗱𝗮𝗶𝓁𝒚⃕🤩 ゙⃞ ⏜⌢ 🤩⃫ 𝐚𝐧𝐨𝐭𝐡𝐞𝐫 𝐭𝐠𝐜 & 𝐥𝐢𝐧𝐤𝐬 ⸝⸝ 🤩🤩 ゙⃝

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9 Aug 2026, 17:57 UTC157 views78 reactionsread 13 August 2026

🤩🤩🤩𝐊𝐈𝐋𝐋𝐈𝐍𝐆‌‌ᩘ🤩‌‌⃫ ‌𝗼𝗻𝗹𝘆 𝗦𝗛𝗘ޫ🤩 ゙⃞ 🤩𝆭 𝆺𝅥aⲛⲧⲓ‌sⲏⲓⲣⲣⲉr᳤🤩᳦𝟣𝟤.𝟤𝟪⇆𝟣𝟩 𝗒.𝗈‌ ᛝ 🤩ᛝ🤩 ゙⃝ 𝖽𝗆 ⬪ @D3ATHBR1NG3R⃕🤩ᵗ᷒ᰰ 🤩⟢ 𝐃𝐍𝐈 𝗐/ 𝗆𝖾 𝗂𝖿 𝗎‌𝗋 :: 𝘳𝘶𝘴𝘴1𝘢𝘯_𝘨4𝘯𝘨, 🤩𝘬𝘴𝘦𝘯‌𝘰𝘯𝘢 𝘧𝘢𝘯, 𝘳𝘦𝘭𝘪𝘨𝘪𝘰𝘶𝘴 𝘧𝘢‌𝘯𝘢𝘵𝘪𝘤, 𝘥𝘢𝘳𝘬𝘴𝘩𝘪𝘱𝘱𝘦𝘳, 𝘧𝘬𝘯 𝘬𝘳𝘪𝘦𝘮 !!🤩゙⃞🤩۪۪۪

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Showing the 9 most recent of 9 posts we hold for @infoKILLING. 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

Citation-graph rank — 880,204 of 1,480,688entries 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.

Mentions

Named by 2 registered channels — 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.

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.

Cite this entry

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“⸮ 𝐊ℐ𝐋𝐋𝐈𝑵𝐆 ᛝ 𝗂𝗇𝖿𝗈 ⸝⸝” (@infoKILLING), 4 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/infoKILLING.

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.