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Channel

𝕴𝖓𝖋𝖔〝ࣻ𝗡𝖮𝖷𝖤𝖫𝖫𝖤

@NOXELL_1NF0

On this record: Previous handles · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

386subscribers

+7 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1003623068741
TypeChannel
Username@NOXELL_1NF0
Created26 December 2025measured — dated from the channel’s first post
First recorded8 August 2026
Last confirmed live16 September 2026
Measurements held8
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/NOXELL_1NF0

Previous handles

@NOXELL_1NF0 was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.

@FRSO_INFO
held 8 August 20268 August 2026

Growth

379416397.57 August 2026 — 379 subscribers8 August 2026 — 379 subscribers15 August 2026 — 392 subscribers22 August 2026 — 416 subscribers28 August 2026 — 412 subscribers14 September 2026 — 390 subscribers14 September 2026 — 390 subscribers16 September 2026 — 386 subscribers3867 August 202616 September 2026
8 measurements spanning 39 days, net +7. 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 373–422 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 01:39386-4
14 Sept 2026, 10:22390no change
14 Sept 2026, 09:47390-22
28 Aug 2026, 18:14412-4
22 Aug 2026, 14:57416+24
15 Aug 2026, 08:56392+13
8 Aug 2026, 06:16379no change
7 Aug 2026, 19:19379first reading

Engagement

39 posts held, back to 26 December 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
79.4%
avg views ÷ 386 subscribers
Avg views / post
307
20 posts measured
Reaction rate
1.81%
reactions ÷ views · ER floor
Posts in window
20
of 39 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 10 of 20 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 1 September 2026
Posts held39 (26 December 20251 September 2026)
Views total6,130
Reactions total56
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Sept 2026, 10:22 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.

Reaction mix

56 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 35.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 52287399068046902152035.7%
custom 52312107757202702181832.1%
custom 52314150014151948521832.1%

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 are Telegram’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 10 of the 39 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 56 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 39 most recent posts we hold, published 26 December 2025 to 1 September 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

1 Sept 2026, 17:44 UTC567 views5 reactionsread 14 September 2026
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🤍 🥹😴🥹𝗕𝗜𝗥𝖳𝖧𝗗𝖠𝗬𝗦🥹 🎁🥹дни 𝗽𝗼жд𝗲ния 𝘆ч𝗮стник𝗼в 𝘆к𝗮з𝗮ны ниж𝗲 🌺〝𝗪𝗶𝗻𝘁𝗲𝗿 ..✘ Б𝗮𝗽б𝗮𝗽𝗮 — 𝟬𝟲.𝟭𝟮. ..✘ З𝗮𝗽янк𝗮 — 𝟮𝟰.𝟭𝟮. ..✘〝ࣻ𝗡𝖮𝖷𝖤𝖫𝖫𝖤 — 𝟮𝟲.𝟭𝟮. ..✘ Ст𝗽𝗮нник — 𝟮𝟮.𝟬𝟭. ..✘ 𝗢д𝗲тт𝗮 — 𝟭𝟳.𝟬𝟮. 🎁〝𝗦𝗽𝗿𝗶𝗻𝗴 ..✘ 𝗔льб𝗲д𝗼 — 𝟮𝟬.𝟬𝟯. ..✘ 𝗔йн𝗼 — 𝟭𝟵.𝟬𝟰. ..✘ Ски𝗽к — 𝟮𝟲.𝟬𝟰. ..✘ С𝗮нд𝗲й — 𝟭𝟮.𝟬𝟱. 💎〝𝗦𝘂𝗺𝗺𝗲𝗿 ..✘ К𝗼лл𝗲й — 𝟬𝟮.𝟬𝟳. ..✘ Ит𝗲𝗽 — 𝟬𝟳.𝟬𝟳. ..✘ Т𝗲м𝗲нь — 𝟭𝟰.𝟬𝟳. ..✘ Нигилюкс𝗮 — 𝟯𝟭.𝟬𝟳. 🌙〝𝗔𝘂𝘁𝘂𝗺𝗻 ..✘ П𝗮нт𝗮л𝗼н𝗲 — 𝟬𝟲.𝟬𝟵. ..✘ Кинич

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1 Sept 2026, 17:44 UTC508 views6 reactionsread 14 September 2026
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🤍 🥹😴🥹𝗕𝗢𝖳𝗦🥹 зд𝗲сь к𝗽𝗮тк𝗮я н𝗮виг𝗮ция п𝗼 б𝗼т𝗮м. @NOXELLBOT — б𝗼т для вст𝘆пл𝗲ния в𝗼 фл𝘆д. 🎁 @NOXELLESHOPBOT — б𝗼т для п𝗼к𝘆пки т𝗼в𝗮𝗽𝗼в. 🐈‍⬛ @noxellhelpbot — б𝗼т п𝗼дд𝗲𝗽жки/б𝗽𝗮ть 𝗽𝗲ст/п𝗽𝗲дл𝗼жить св𝗼и ид𝗲и/п𝗼д𝗮ть ж𝗮л𝗼б𝘆. 🍭 @Noxellunionbot — з𝗮ключить с𝗼юз. 🌙 @Evernibot — 𝗮н𝗼н б𝗼т для связи с вл𝗮д𝗲льц𝗲м. 💎 В𝗮жн𝗼! н𝗲 сп𝗮мьт𝗲 в б𝗼т𝗮 чт𝗼бы в𝗮м 𝗼тв𝗲тили. 𝗲сли б𝗼ты н𝗲 𝗽𝗮б𝗼т𝗮ют, т𝗼 н𝗮пишит𝗲 личн𝗼 @Ever

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1 Sept 2026, 17:43 UTC391 views6 reactionsread 14 September 2026
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🤍 🥹😴🥹𝗣𝗔𝖳𝖤𝗡𝗧🥹 с 1.09.26 у н𝗮с ст𝗼ит п𝗮т𝗲нт н𝗮... н𝗮зв𝗮ни𝗲, ссылки, б𝗮нн𝗲𝗽𝗮, т𝗲кст𝗼в𝗼𝗲 𝗼ф𝗼𝗽мл𝗲ни𝗲, стик𝗲𝗽ы, иници𝗮лы, ид𝗲ю фл𝘆д𝗮, б𝗼т𝗼в. В𝗮жн𝗼! ид𝗲и б𝗽𝗮ть м𝗼жн𝗼, 𝗮 н𝗲 к𝗼пи𝗽𝗼в𝗮ть п𝗼лн𝗼стью.

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1 Sept 2026, 17:43 UTC321 views6 reactionsread 14 September 2026
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🤍 🥹😴🥹𝗜𝗡𝖨𝖳𝗜𝗔𝗟𝗦 🥹 иници𝗮лы м𝗼жн𝗼 ст𝗮вить в ник или 𝗼пис𝗮ни𝗲 для п𝗼дд𝗲𝗽жки п𝗽𝗼𝗲кт𝗮. п𝗽и з𝗮х𝗼д𝗲 их ст𝗮вить н𝗲𝗼бяз𝗮т𝗲льн𝗼. 〝ࣻ𝗡𝗼𝘅 -〝ࣻ𝖭𝗼𝗑 -〝ࣻ𝗡𝗢𝗫 -〝ࣻ𝗡𝟰𝟬𝟰 -〝ࣻ𝖭𝟦𝟢𝟦 д𝗼п.п𝗽иписки : ᵃᵈᵐ , ᵗʳᶜᵏ

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1 Sept 2026, 17:43 UTC260 views6 reactionsread 14 September 2026
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🤍 🥹😴🥹𝗨𝗡𝖨𝖮𝗡𝗦🥹 с н𝗮ми м𝗼жн𝗼 з𝗮ключить с𝗼юз. мы п𝗽иним𝗮𝗲м бинг𝗼 и вс𝗲гд𝗮 𝗽𝗮ды н𝗮чин𝗮ющим п𝗽𝗼𝗲кт𝗮м. 🥹 н𝗮ши 𝘆сл𝗼вия с𝗼юз𝗮🥹 списки сл𝗲дящих : 🥹💎🥹— принимает союзы. 🥹😴🥹— не принимает союзы. Т𝗲м𝗲нь -💎 С𝗮нд𝗲й -💎 для с𝗼юз𝗮 пис𝗮ть — @Noxellunionbot

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1 Sept 2026, 17:43 UTC222 views6 reactionsread 14 September 2026
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🤍 🥹😴🥹𝗔𝗕𝖮𝖴𝗧 𝗨𝗦🥹 зд𝗲сь н𝗲мн𝗼г𝗼 инф𝗼𝗽м𝗮ции 𝗼 н𝗮с. д𝗮нны𝗲 𝗼бн𝗼вляются. н𝗮ш𝗲 н𝗮зв𝗮ни𝗲 〝ࣻ𝗡𝖮𝖷𝖤𝖫𝖫𝖤 — NOXELLE (б𝗲з ш𝗽ифт𝗮). н𝗮 𝗽𝘆сск𝗼м к𝗮к н𝗼кс𝗲лл/н𝗼кс𝗲лль 𝘆 н𝗮с 𝗲сть в𝗮лют𝗮, б𝗼ксы, г𝗲йм ч𝗮т и к𝘆𝗽𝗮т𝗼𝗽ств𝗼. н𝗲д𝗮вн𝗼 был п𝗲𝗽𝗲н𝗮б𝗼𝗽. 𝗼лд𝗼в м𝗮л𝗼 и 𝗼тк𝗽ытый к𝗼лл𝗲ктив. н𝗮м 𝟲 м𝗲сяц𝗲в! 𝟮𝟬𝟬 в л𝗮йф𝗲. 𝟯𝟬𝟬 в л𝗮йф𝗲. 🌺🥹𝘆 н𝗮с 𝗲сть з𝗮писи с н𝗮шими 𝘆п𝗼мин𝗮ниями, ит𝗼г𝗮ми 𝗮сс𝗼ци𝗮ций для н𝗮с и 𝗼тзыв𝗮ми. (𝗼тк𝗽ыв𝗮𝗲

custom 52287399068046902152custom 52312107757202702182custom 52314150014151948522

Showing the 12 most recent of 39 posts we hold for @NOXELL_1NF0. 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.

Mentions

Named by 70 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. The 22 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

𝐋𝐢𝐟𝐞 ๛ 𝐒𖤓𝐍𝐇𝐀𝐑
@sonharlife · 109
3 posts
UNIONS / 𝐵𝑒𝓁𝓁𝒶𝒹𝑜𝓃𝓃𝒶 𝒻𝓁𝑜𝑜𝒹
@BELLADONNAUNION · 13
2 posts
﹫𝗡.𝐀̄𝐑͟𝐀𝑲͟𝐀〞ⁱⁿᶠᵒ
@NARAKAinf · 225
2 posts
𝗟𝗜𝗙𝗘 — 📼ꢾ 𝑽@𝑴𝑷𝑰𝑹𝑬 𝑪𝑨𝑺𝑺𝑬𝑻𝑬. .
@vampirecase · 29
2 posts
ᏞᏆᎰᎬ ᏟᎻᎪNNᎬᏞ / wᴀᴛᴇr ᴛrᴀin flᴏᴏd 🌊
@watertrainlife · 110
2 posts
𝘀𝘂𝗻𝗱𝗮𝘆 𝘂𝗻𝗶𝗼𝗻
@ED_sundayunion · 3
1 post
𝐔.ۨ𝐍ۧ𝐈ۜ𝐎𝐍۪𝐒 𝐄.ۨ𝐕ۧ𝐎ۜ𝐈𝐑۪𝐄
@evorAMOR · 11
1 post
INFO 𝗛ΞᒪᒪSᑕᗩⱣE
@H_S_Info · 224
1 post
𝗛𝗔𝗧𝗥𝗘𝗗ᵘⁿⁱᵒⁿˢ
@HDR_unions · 8
1 post
аоаоа союзы черного лебедя
@MLB_BS · 2
1 post
союзы анимешника
@MOZEaxm · 1
1 post
[РЕСТ!] 𝗟𝗜𝗙𝗘:: ᯓ 𝘗𝘦𝘳𝘧𝘦𝘤𝘵 「𝗖𝗥𝗜𝗠𝗘!」
@PerfectCrime_LIFE · 93
1 post
𝒩.𝑒𝑤 𝑒𝑟𝑎 | 𝑃𝑒︩︪𝑎𝑟𝑙 ¡ 𝘭𝘪𝘧𝘦
@Pl_lI1 · 372
1 post
Закрыто...•—𝗦𐌳𐍛𝗶𐌏𐍂🪽 Life
@Savior0Life · 50
1 post
˖ ࣪ ٬ ุ๋ ⸱ 𓄼 ℑ𝔥𝔯𝔢𝔢 ℌ𝔢𝔞𝔳𝔢𝔫 𝔒𝔣𝔣𝔦𝔠𝔦𝔞𝔩𝔰 ᶫᶦᶠᵉ 𓄹 ˖ ࣪ ٬ ุ๋ ⸱
@thr33_Heaven_0ficcia1ls_lif3 · 103
1 post
﹫ A‌ָ࣪𝗡:ꓷ֕𝐄 ⃟🌺 𝗠ָ࣪𝖠𝖫𝖨֕𝖭ℰ𝖫‌𝖫𝖤 ❜ : 𝐔𝗇𝗂𝗈𝗇𝗌
@unions_AML · 5
1 post
𝗨𝗡𝗜𝗢𝗡𝗦 𝗛𝗔ݔ‌𝖄𝗧𝗜» 𝗖𝗜𝗥𝗖𝗨𝗦
@unions_hayti · 15
1 post
.︪︩ 𝆬⃝ ✶𝐔𝐍𝐈𝐎𝐍𝐒|𝐒𝐄𝐂𝐑𝐄𝐓 𝐂𝐈𝐓𝐘●♬
@unions_scrtct · 1
1 post
𝐋𝐈𝐒𝐓 𝐎𝐅 𝐔𝐍𝐈𝐎𝐍𝐒
@unions_thoma · 5
1 post
☎️ ࣽ 𝙐𝙣𝙞𝙤𝙣𝙨 ও 𝘾𝙖𝙧𝙙 𝘍𝘭𝘰𝘰𝘥 #𝗖𝗙
@UnionsCardFlood · 1
1 post
𝗞𝗮𝗳𝗸𝗮'𝘀 𝘂𝗻𝗶𝗼𝗻𝘀.
@unionskafkk · 4
1 post
ᐯミR̲𝗦𝙰R̲ᗣ hyacine
@versara_list_hya · 1
1 post

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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“𝕴𝖓𝖋𝖔〝ࣻ𝗡𝖮𝖷𝖤𝖫𝖫𝖤” (@NOXELL_1NF0), 386 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/NOXELL_1NF0.

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.