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Channel
𝙈𝙖𝙩𝙩𝙚𝙤 𝙏𝙮𝙥𝙚
@matteotype
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
43subscribers
+6 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004315797861 |
|---|---|
| Type | Channel |
| Username | @matteotype |
| Description | Д᧐δρ᧐ ᥰ᧐жᥲ᧘᧐ʙᥲᴛь, я Мᥲᴛᴛᥱ᧐. Здᥱᥴь я δуду ᥰρ᧐ᥴᴛ᧐ ᥰ᧐ᥴᴛᥙᴛь ᥴʙ᧐ё ʍнᥱнᥙᥱ ᥙ ρᥲɜʙᥙʙᥲᴛьᥴя ʙ ᥴɸᥱρᥱ ᴛᥙᥰᥙρ᧐ʙᥲнᥙя. Аʙᴛ᧐ρ нᥱ ᴛᥲκ дᥲʙн᧐ нᥲх᧐дᥙᴛᥴя ʙ ᴛᥙᥰ᧐᧘᧐ᴦᥙях ᥙ ᥰρᥙнᥙʍᥲᥱᴛ κ᧐нᥴᴛρуκᴛᥙʙную κρᥙᴛᥙκу. |
| Created | 1 August 2026 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/matteotype |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 16:31 | 43 | no change |
| 7 Aug 2026, 00:14 | 43 | +6 |
| 6 Aug 2026, 12:04 | 37 | first reading |
Engagement
20 posts held, back to 1 August 2026 — 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.
- ERR · 30 days
- 493.9%
- avg views ÷ 43 subscribers
- Avg views / post
- 212
- 19 posts measured
- Reaction rate
- 5.48%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 20 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 11 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 20 (1 August 2026 – 9 August 2026) |
| Views total | 4,035 |
| Reactions total | 99 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 16:31 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
- Photos
- 10
- Links
- 9
Lifetime counters from Telegram’s own channel header, read 10 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
99 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 46.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5213209137558605882 | 46 | 46.5% | |
| custom 5409331560635728152 | 28 | 28.3% | |
| custom 5213400255013344263 | 10 | 10.1% | |
| custom 5219938844505296663 | 10 | 10.1% | |
| custom 5213045739822796604 | 5 | 5.05% |
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 11 of the 20 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 99reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 1 August 2026 to 9 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
💌о мне так много ненависти к эннеатипу... 💌 я впринципе ненавижу эннеа комьюнити! . 🤩 WELCOME ... 🤩🌟🌟🌟🌟 🌟🌟🌟🌟🌟🤩 🌟🌟❗️ Здесь вы можете забыть о стыде в проявлении ненависти ... Ведь тут мы ждем людей, которые ПОЛНЫ всякого душевного гноя¡!! Независимо от темы, вы можете высказаться ненависть так и об одном человеке с тем или иным эннеатипом, либо же высказать о ВСЕХ персонах, игнорируя то, что это …
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ׁ 🤩 🤩 𝐒𝐯𝐢𝐧𝐨 𝐭𝐲𝐩𝐢𝐧𝐠𝐬 🤩🥹 🤩🤩🤩💻 🤩𝖧𝖺𝗏𝖾 𝗒𝗈𝗎 𝖾𝗏𝖾𝗋 𝗐𝖺𝗇𝗍𝖾𝖽 𝗍𝗈 𝗄𝗇𝗈𝗐 𝗐𝗁𝖺𝗍 𝗒𝗈𝗎𝗋 𝖿𝖺𝗏𝗈𝗎𝗋𝗂𝗍𝖾 𝖼𝗁𝖺𝗋𝖺𝖼𝗍𝖾𝗋’𝗌 𝖾𝗇𝗇𝖾𝖺 𝗂𝗌? 🥹🥹 𝖳𝗁𝖾𝗇 𝖼𝗈𝗆𝖾 𝗍𝗈 𝗎𝗌! 🤩🤩 👩🎓🥹𝖶𝖾’𝗋𝖾 𝗍𝗒𝗉𝗂𝗇𝗀 𝗂𝗇𝗍𝖾𝗋𝖾𝗌𝗍𝗂𝗇𝗀 𝖼𝗁𝖺𝗋𝖺𝖼𝗍𝖾𝗋𝗌 𝖿𝗈𝗋 𝗎𝗌. 𝖶𝖾 𝗈𝗇𝗅𝗒 𝖼𝖺𝗋𝗋𝗒 𝗈𝗎𝗋 𝗈𝗐𝗇 𝗏𝗂𝗌𝗂𝗈𝗇 𝗈𝖿 𝗍𝗁𝖾 𝖼𝗁𝖺𝗋𝖺𝖼𝗍𝖾𝗋. 𝖮𝗎𝗋 𝗈𝗉𝗂𝗇𝗂𝗈𝗇 𝗆𝖺𝗒 𝖻𝖾 𝗐𝗋𝗈𝗇𝗀/𝖽𝗂𝖿𝖿𝖾𝗋𝖾𝗇𝗍 𝖿𝗋𝗈𝗆 𝗒𝗈𝗎𝗋𝗌🤩‼️ 🥹🤩 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐨𝐧 🤩 🤩 🤩 𝖬𝗉 🤩 𝖠𝖽𝗆𝗂𝗇𝗌 🤩 𝖧𝖺𝗌𝗁𝗍𝖺𝗀𝗌. 🤩
🐝🌻🔤🔤🔤🔤🔤🔤🔤 🔤🔤🌻🐝 ➿➿➿𝓜𝓲𝓮𝓵𝓹𝓸𝓹𝓼 𝓣𝔂𝓹𝓲𝓷𝓰𝓼➿➿➿ ▫️🔤 мы умеем . .🐝 😻прекрасно типировать и объяснять свои типирования аргуменями 😻хорошо и вежливо общаться с подписчиками 😻крепко держать ваше полотенце, если вы SX5 😻смешно щитпостить и шутить 😻уважать каждое мнение и позицию 😻доходчиво и понятно пояснять за SO4 и SP2 😻делиться свежей информацией по поводу политики и цен на жилье 😻плакать и трястись, если кто-то не согласен с н…
🥹mobile legends | mlbb🪽 🔤ᥙчᥙ 🌟 IEE SX7 ELFV🌟 🪽 #iee #sx7 #elfv #mlbb
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🦢🤩🤩🤩🤩🤩🤩🤩🩸🩸🩸 🕸🕸🕸🤍élyr typings ♠️ ◟ 🤩🤩Приветствуем вас на нашем канале! Тут вы сможете ознакомиться с информацией про типологии. 🩸 😀😁😂🤣😃😄😅😆 😉😊😋😎😍😘😗😙 🖤🖤Здесь мы делимся 🖤🖤нашим мнением касательно 🖤🖤типологии персонажей, 🖤🖤музыки и реальных личностей. 🌟🌟🐇ипируем по следующим типологиям: Эннеаграмма, Психософия, Юнг, Соционика, Мбти, Большая Пятерка. ♠️ Для типирования по Психософии мы используем обе…
❗️Нᥲᥰ᧐ʍᥙнᥲю, чᴛ᧐ ᥴᥰᥙᥴ᧐κ дᥙнᥲʍᥙчᥱᥴκᥙᥔ. Вы ʍ᧐жᥱᴛᥱ ᧐ᴛᥴ᧘ᥱжᥙʙᥲᴛь κᥲждыᥔ дᥱнь ᥴʙ᧐ᥔ ᥰ᧐ρяд᧐κ ʙ ᧐чᥱρᥱдᥙ.
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🥹Д᧘я ʙᥴᥱх, κᴛ᧐ ᥰρᥙᥴы᧘ᥲᥱᴛ ᧐ᴛʙᥱᴛы нᥱᥲн᧐нᥙʍн᧐: ʙ ᥴᥰᥙᥴκᥱ я δуду цᥱнɜуρᥙᴛь δ᧐᧘ьɯую чᥲᥴᴛь ʙᥲɯᥱᴦ᧐ нᥙκᥲ д᧘я ᥴ᧐хρᥲнᥱнᥙя ʙᥲɯᥱᥔ κ᧐нɸᥙдᥱнцᥙᥲ᧘ьн᧐ᥴᴛᥙ. Уɜнᥲᴛь ᥴᥱδя ᥴʍ᧐жᥱᴛᥱ ᥰ᧐ ᥰᥱρʙ᧐ᥔ ᥙ ᥰ᧐ᥴ᧘ᥱднᥱᥔ δуκʙᥱ ᥙ κ᧐᧘ᥙчᥱᥴᴛʙу ᥴᥙʍʙ᧐᧘᧐ʙ. Иᥴκ᧘ючᥱнᥙᥱ: нᥙκнᥱᥔʍы, κ᧐ᴛ᧐ρыᥱ нᥙκ᧐ʍу нᥙчᥱᴦ᧐ ᥴ᧐δ᧐ᥔ нᥱ ᥴκᥲжуᴛ (нᥲᥰρᥙʍᥱρ ".")
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🥹Инɸ᧐ρʍᥙρ᧐ʙᥲнᥙᥱ ᧐ ᴛ᧐ʍ, κᥲκ ʙыᴦ᧘ядᥙᴛ ᧐чᥱρᥱдь нᥲ дᥲнныᥔ ʍ᧐ʍᥱнᴛ 1. 🌟 2. 🍰 3. 🎐 4. 5. 🦷 6. 🚖 7. 🧌 8. ᕙ(@°▽°@)ᕗ 9. 🐖 10. 🐌 11. нᥱᥲн᧐н н****ɜ 12. 🖤🤍 13. 🎟️ 14. 💐 15. 🪦 16.🍷🥩 17. 🐭 18. 🦐 19. 🐲 20.🌸 21.🕊 Эᴛ᧐ ʙᥴᥱ, κᴛ᧐ ᧐ᴛᥰρᥲʙᥙ᧘ ᧐ᴛʙᥱᴛы.
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🥹Оᴛчёᴛ ᧐ ᥰᥱρʙ᧐ʍ днᥱ ᴛᥙᥰᥙρ᧐ʙᥲнᥙᥔ. Вᥴᥱᴦ᧐ чᥱ᧘᧐ʙᥱκ — 19 𐌿ρᥙᥴ᧘ᥲ᧘ᥙ ᧐ᴛʙᥱᴛы — 7 𐌿᧐чᴛᥙ ɜᥲκ᧐нчᥙ᧘ ᴛᥙᥰᥙρ᧐ʙᥲᴛь ᧐дн᧐ᴦ᧐, ᥴ᧐ᥴᴛᥲʙ᧘яю ʙ᧐ᥰρ᧐ᥴы д᧘я уᴛ᧐чнᥱнᥙя ᥰᥴᥙх᧐ᥴ᧐ɸᥙᥙ нᥲ ɜᥲʙᴛρᥲ. В ᧐чᥱρᥱдᥙ 6. Зᥲʙᴛρᥲ, дуʍᥲю, ᥴᥰρᥲʙ᧘юᥴь ᥴ ᥱщё ᴦдᥱ-ᴛ᧐ дʙуʍя ᧘юдьʍᥙ. Эᴛ᧐ ᥰρ᧐ᥴᴛ᧐ чᴛ᧐δы ʙᥴᥱ ᥰρᥙδ᧘ᥙɜᥙᴛᥱ᧘ьн᧐ ᥰρᥙκᥙну᧘ᥙ ʙ ᴦ᧐᧘᧐ʙᥱ ʙρᥱʍя ᧐жᥙдᥲнᥙя. Зᥲ нᥱдᥱ᧘ю я д᧐᧘жᥱн ᥴᥰρᥲʙᥙᴛьᥴя ᥴ᧐ ʙᥴᥱʍᥙ (нᥲдᥱюᥴь)
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🥹У ʍᥱня ᥰ᧐яʙᥙ᧘ᥴя ᥰᥱρʙыᥔ ᧐ᴛɜыʙ. Сᥰᥲᥴᥙδ᧐ ɜᥲ ʙыᥴ᧐κую ᧐цᥱнκу ʍ᧐ᥱᥔ ρᥲδ᧐ᴛы. Вᥲɯᥙ ᧐ᴛɜыʙы ᧐чᥱнь ᥰ᧐ʍ᧐ᴦᥲюᴛ, ᴛᥲκ κᥲκ я ʙ ϶ᴛ᧐ʍ дᥱ᧘ᥱ ᧐ᴛн᧐ᥴᥙᴛᥱ᧘ьн᧐ нᥱдᥲʙн᧐. Буду ρᥲд н᧐ʙыʍ ɜᥲяʙκᥲʍ.
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Showing the 12 most recent of 20 posts we hold for @matteotype. 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 — 327,789 of 1,169,250entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 3 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.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“𝙈𝙖𝙩𝙩𝙚𝙤 𝙏𝙮𝙥𝙚” (@matteotype), 43 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/matteotype.
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.