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Channel

АПОЛЛО

@apollo_main

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

28,989subscribers

-96 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002824980256
TypeChannel
Username@apollo_main
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/apollo_main

Growth

28,98929,08629,037.57 August 2026 — 29,085 subscribers8 August 2026 — 29,086 subscribers9 August 2026 — 29,081 subscribers10 August 2026 — 29,071 subscribers11 August 2026 — 29,073 subscribers12 August 2026 — 29,063 subscribers13 August 2026 — 29,032 subscribers14 August 2026 — 29,010 subscribers16 August 2026 — 28,989 subscribers7 August 202616 August 2026
9 measurements spanning 9 days, net -96. 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 28,974–29,101 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 06:0428,989-21
14 Aug 2026, 18:4729,010-22
13 Aug 2026, 07:5429,032-31
12 Aug 2026, 08:3229,063-10
11 Aug 2026, 08:1329,073+2
10 Aug 2026, 04:5229,071-10
9 Aug 2026, 03:1129,081-5
8 Aug 2026, 04:0829,086+1
7 Aug 2026, 16:4529,085first reading

Engagement

21 posts held, back to 8 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
45.5%
avg views ÷ 28,989 subscribers
Avg views / post
13,200
6 posts measured
Reaction rate
1.98%
reactions ÷ views · ER floor
Posts in window
6
of 21 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held21 (8 April 202612 August 2026)
Views total79,190
Reactions total1,568
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 04:42 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

15,552 reactions across 21 posts, in 18 distinct kinds. The most used accounts for 39.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6,14939.5%
3,34121.5%
🔥1,89012.2%
❤‍🔥1,87312.0%
👍9386.03%
custom 53979778876031826047524.84%
💯1170.752%
🥰1080.694%
👏1020.656%
🤔980.63%
custom 5249274755332191410780.502%
🤩340.219%
🤯180.116%
🐳170.109%
😍130.084%
🏆100.064%
🍌90.058%
custom 539803385532201733150.032%

Custom emoji. 3 of the rows above are 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 21 of the 21 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 15,552reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 8 April 2026 to 12 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

12 Aug 2026, 14:14 UTC≈6,790 views142 reactionsread 16 August 2026

Когда я курил, у меня в голове была одна железобетонная установка: "Никотин помогает мне расслабиться, приносит удовольствие и я КАЙФУЮ от самого ритуала курения" НО ЭТО ЗАБЛУЖДЕИЕ! Потому что слова "УДОВОЛЬСТВИЕ" в этой формуле нет ПО ОПРЕДЕЛЕНИЮ! Ведь это два разных процесса с разной физиологией: 🟢 "Удовольствие" - обслуживают маленькие и хрупкие зоны мозга. 🔴 "Желание" - обслуживает мощнейшая дофаминовая сист

🔥79custom 53979778876031826043026❤‍🔥3👍2custom 52492747553321914102

6 Aug 2026, 19:22 UTC≈11,900 views248 reactionsread 16 August 2026
Photo

🤩 Как бросить ЛЮБУЮ вредную привычку (полный гайд) 👉 ЧИТАТЬ

132❤‍🔥66🥰24🔥14custom 53979778876031826047🤩4👍1

31 Jul 2026, 11:15 UTC≈17,000 views412 reactionsread 16 August 2026

Я дымил круче паровоза. Мой каждый третий вдох был с молекулой никотина, а любой день я начинал и заканчивал затяжкой. Причем очень даже стабильно и без пропусков. «Дисциплина» - скажет кто-то «Долб**бизм» - отвечу я Потому что одним утром я просыпаюсь, смотрю на свое тело, и вижу что похож на скелет больше, чем на человека. 58кг костей, слезающие ногти, погнутые суставы пальцев, а футболка покрыта следами крови

👍186🔥10477❤‍🔥23custom 524927475533219141011🤯7🤔4

24 Jul 2026, 10:55 UTC≈16,600 views329 reactionsread 16 August 2026

Вот эта полка, которую вы сейчас видите - это то, что мне удалось загрузить в свой мозг еще в универе лет до 20-ти. Я ненавидел учиться, но обожал читать. Друзей было немного, на вписки не ходил, поэтому сидел дома и развлекал сам себя. Так еще и заменял скучные универские домашки и всякую нудятину на то, что мне РЕАЛЬНО нравилось. Мой принцип отбора книг был до усрачки простым: 1) Я находил интересную тему или ув

195❤‍🔥63💯32👍17custom 52492747553321914109custom 53979778876031826047🤔6

24 Jul 2026, 10:55 UTC≈10,800 views199 reactionsread 16 August 2026
Photo

Photo, posted without a caption

❤‍🔥103custom 539797788760318260452🤔19🔥8custom 52492747553321914108👏63

17 Jul 2026, 13:41 UTC≈16,100 views238 reactionsread 16 August 2026

🤩 КАК ВЫЖАТЬ ВЕСЬ ПОТЕНЦИАЛ ТЕЛА И МОЗГА (принципы, программа, добавки) В прошлом посте разобрались, ЗАЧЕМ вообще нагружать мышцы. Вывод был простой: нагрузка не только делает твое тело сильнее, НО и мозг - умнее 🤓 Остался главный вопрос: КАК тренироваться и ЧТО дать организму, чтобы выжать весь его потенциал. Для этого дела нам важно разобрать 3 пункта: - Программа - Добавки - Режим Что забавно, почти все споты

157❤‍🔥38👍25🔥85🍌3🥰2

14 Jul 2026, 15:30 UTC≈14,000 views226 reactionsread 16 August 2026

Ребятки, чето я заработался 🤧 Про вас не забыл, вторую часть поста уже пишу ♥️ Кстати о работе💅 Если кому-то интересно почитать мои мысли и наработки про IT, копирайтинг, дизайн, монтаж и нейронки - то напоминаю, что у меня есть экспертный канальчик 👉 ТЫК

155❤‍🔥33👏18🤯8🔥7custom 52492747553321914105

4 Jul 2026, 13:33 UTC≈22,600 views613 reactionsread 16 August 2026

🤩 КАК ТРЕНИРОВАТЬ ТЕЛО, ЧТОБЫ УМНЕЛ МОЗГ Честно говоря, я НЕНАВИЖУ тренировки... Меня хватает на 20-30 минут. И не потому что устаю. А просто становится смертельно СКУЧНО. По этой самой причине в моем сознании фраза "Ходить в зал 3 раза в неделю" - звучит страшнее пытки. Если и могу себя заставить - то дай бог на полгодика. Ну а в какой-то момент я даже пытаться перестал. Потому что мне искренне ПОФИГ на наличи

389👍90custom 539797788760318260458🔥42❤‍🔥21🐳9custom 52492747553321914104

24 Jun 2026, 16:58 UTC≈22,800 views554 reactionsread 16 August 2026
Voice message

"Сложных" задач НЕ БЫВАЕТ! И сейчас я это докажу...

316custom 539797788760318260494💯80👍49custom 52492747553321914107🥰6🤩2

19 Jun 2026, 15:01 UTC≈28,700 views830 reactionsread 16 August 2026

Не поверите ни за что... Новое видео готовлю

❤‍🔥378custom 5397977887603182604253🔥136🤩28👍1311🤔11

16 Jun 2026, 12:43 UTC≈33,500 views331 reactionsread 16 August 2026

🤩 Лучший минерал для мозга, кожи, волос, пищеварения (и даже СДВГ) В мире добавок и биофакинга есть свои любимчики: - Омега 3, - Витамин D, - Креатин, - Магний... О них тебе наваливают из каждого утюга. Только вот почему-то все молчат про ОДИН минерал, дефицит которого может сильно испортить жизнь: от выпадения волос до тревожности и даже депрессии. По отдельности - хер ты додумаешься, что проблема в нём. Но прав

192👍72❤‍🔥34🔥15custom 539797788760318260411custom 52492747553321914104🤯3

5 Jun 2026, 13:09 UTC≈26,900 views308 reactionsread 16 August 2026

Похоже, со мной что-то не так... Вслух это говорить не принято. Но где-то между двадцатью и тридцатью эта мысль накрывает почти каждого. Кажется, будто весь остальной мир живет по другим правилам. У всех уже карьера, дело жизни, бизнес, семья и дети. Кто-то вообще с пятнадцати лет уже на полвека вперед распланировал, и в ус не дует. А я всегда был полной противоположностью таких ребят... Для справочки👇 Хоть како

191❤‍🔥53custom 539797788760318260440👍9🤔7🔥4custom 52492747553321914104

Showing the 12 most recent of 21 posts we hold for @apollo_main. 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.

Posts edited after publishing

@apollo_main edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
14 August 2026
Most recent edit
14 August 2026

Citation-graph rank

Citation-graph rank — 340,261 of 1,481,217entries 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.

Named by

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

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

“АПОЛЛО” (@apollo_main), 28,989 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/apollo_main.

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.