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Channel

alcohol typing

@alcohotypigs

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

2,380subscribers

+66 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003029038694
TypeChannel
Username@alcohotypigs
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/alcohotypigs

Growth

2,3142,3802,3476 August 2026 — 2,314 subscribers6 August 2026 — 2,314 subscribers7 August 2026 — 2,323 subscribers10 August 2026 — 2,351 subscribers13 August 2026 — 2,380 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net +66. 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 2,304–2,390 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 11:182,380+29
10 Aug 2026, 03:212,351+28
7 Aug 2026, 09:262,323+9
6 Aug 2026, 12:162,314no change
6 Aug 2026, 12:072,314first reading

Engagement

22 posts held, back to 3 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.8%
avg views ÷ 2,380 subscribers
Avg views / post
566
21 posts measured
Reaction rate
4.12%
reactions ÷ views · ER floor
Posts in window
22
of 22 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 16 of 21 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 7 August 2026
Posts held22 (3 August 20267 August 2026)
Views total11,882
Reactions total432
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:49 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

432 reactions across 16 posts, in 9 distinct kinds. The most used accounts for 51.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 534376739021367370922351.6%
4811.1%
💯4410.2%
🐳276.25%
👍255.79%
💅255.79%
🦄225.09%
🕊153.47%
🆒30.694%

Custom emoji. One 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 count beside it isTelegram’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 16 of the 22 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 432reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 3 August 2026 to 7 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

7 Aug 2026, 16:41 UTC82 views9 reactionsread 7 August 2026
Forwarded from @SONGTYPINGPhoto

🥹Вот и начинается последний пак - ГАТ ТРИАДА 🥂ХИТ ВОСЕМЬНАДЦАТЫЙ - SP8 ⬇️Ниже представлены песни С АРГУМЕНТАЦИЕЙ выбранные нашими командами на звание самой «блупринтовой» для SP8⬇️ 1⃣Питер - город криминала - DEAD BLONDE 2⃣Up & Down - And One 3⃣United in Grief - Kendrick Lamar 4⃣Therefore i Am - Billie Eilish 5⃣Бесприданница - DEAD BLONDE ❗️Голосуем за самый блупринтовый трек тут

3custom 53437673902136737093🕊2💯1

Signed Fix

6 Aug 2026, 20:34 UTC166 viewsread 7 August 2026
Forwarded from @tpcmmeetPhoto

❌👠🥹🎀elcome to tpcm meet ◟ 🤩 🤍 пространство, предназначенное для выкладывания тейков на тему знакомств в комьюнити типологий. здесь можно найти любые форматы отношений. ❌🤩🤩🥹#friends #relationship #minor #adult #company etc.. 🤩 takebot | support bot | mpr | chat 🤩 more: boost & admin list🤩 🎀 marlen own 🐏 karma & hoho

Signed l♡vely ︎︎︎︎𝓹rincess cyrene

6 Aug 2026, 14:02 UTC263 viewsread 7 August 2026
Forwarded from @typologyartsVideo

TYPOLOGY ARTS CF & DAILY 𓏫⁠⁠⁠ место , где вы сможете поделиться своим творчеством с тпл тематикой или же найти арты по своему типу !!! Не упусти свой шанс и скорее присоединяйся к нам ! 𝗇𝖺𝗏𝗂𝗀𝖺𝗍𝗂𝗈𝗇 ┊ 𝗆𝗉 𝗉𝗈𝗌𝗍 (200+ ; 0+)

Signed l♡vely ︎︎︎︎𝓹rincess cyrene

6 Aug 2026, 12:00 UTC323 viewsread 7 August 2026
Forwarded from @akumatypology

🌫🔤 Акума, веду блог по типологиям ; типирую людей. Мой опыт в сфере типологий уже больше 2 лет, я хорошо знаком с теорией, умею её грамотно применять и помогать в определении типа личности. 🌫MBTI - популярная методика типирования личности, которая выделяет 16 типов на основе четырёх шкал. 🌫Enneargam - типология личности, которая описывает 9 типов, каждый движим своим базовым страхом и желанием (мотивацией). 🌫Psychos

Signed l♡vely ︎︎︎︎𝓹rincess cyrene

6 Aug 2026, 11:46 UTC246 viewsread 7 August 2026
Forwarded from @bizzaretypingsPhoto

welcome to 🔤izzare 🔤ypings: этот канал является сборником наших типирований персонажей. мы не претендуем на объективную истину и не пытаемся навязать свою точку зрения. здесь собраны лишь наши взгляды, наблюдения и аргументация. ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 🌟🔤wner: Bizare LIE SO3 FLVE 17 y/o 03.10 ⚡️ @bizareso3 🌟🔤dmin: Mika LIE SP3 FVLE 20 y/o 08.09 ⚡️ @skheoll переход 🌟навигация 🌟вп пост

Signed l♡vely ︎︎︎︎𝓹rincess cyrene

6 Aug 2026, 11:13 UTC378 views25 reactionsread 7 August 2026
Photo

Админ и влд на сервер зашли

custom 534376739021367370923👍1💯1

Signed Passion

6 Aug 2026, 10:36 UTC505 views58 reactionsread 7 August 2026
Photo

взрослеть не так уж и плохо SP7 #SP7 #MEME

💯33custom 53437673902136737091510

Signed Fix

6 Aug 2026, 08:15 UTC482 views18 reactionsread 7 August 2026
Video message

Video message, posted without a caption

custom 5343767390213673709115💯2

Signed Passion

5 Aug 2026, 14:52 UTC409 viewsread 7 August 2026
Forwarded from @ivorytypesVideo

🥹🤩СМЕРТЕЛЬНЫЕ ДЕБАТЫ: ТПКМ🤩🥹 ✍️ конкурс, где вы можете доказать, что вы ЛУЧШИЙ дебатер в тпкм 🖇️🏆 ПРИЗЫ 1 место — Тг премиум + символический подарок в тг + рассылка в тпкф боте + второй пакет рекламы в тпкф 2 место — 250 зв + первый пакет рекламы в тпкф 3 место — 100 зв + реклама в айворитп, алко и хст (закреп+топ день) 4 место — 50 зв 5 место — 25 зв 🪪РЕГИСТРАЦИЯ: 05.08-16.08 🥹🥹ПРАВИЛА УЧАСТИЯ И ВСЯ ИНФОРМАЦИЯ ТУ

Signed Passion

5 Aug 2026, 13:40 UTC625 views8 reactionsread 7 August 2026
Photo

Йошикава Нобору So9 IS(F) FELV #SO9 #ISF #FELV #GTO

💅8

Signed Δημιουργός

5 Aug 2026, 13:37 UTC620 views6 reactionsread 7 August 2026
Photo

Сугуру Тешигавара Sx5 IN(T) LEVF #SX5 #INT #LEVF #GTO

🕊6

Signed Δημιουργός

Showing the 12 most recent of 22 posts we hold for @alcohotypigs. 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 — 272,599 of 1,480,944entries 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.

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 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.

“alcohol typing” (@alcohotypigs), 2,380 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/alcohotypigs.

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.