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Channel

АРБИТРАН

@arbtrn

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

10,211subscribers

-167 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001143098993
TypeChannel
Username@arbtrn
CreatedBetween 1 July 2016 and 29 February 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live2 September 2026
Measurements held25
Confirmed unchanged2 times, most recently 2 September 2026
On Telegramt.me/arbtrn

Growth

10,21110,37810,294.56 August 2026 — 10,378 subscribers6 August 2026 — 10,378 subscribers7 August 2026 — 10,373 subscribers8 August 2026 — 10,370 subscribers9 August 2026 — 10,363 subscribers10 August 2026 — 10,359 subscribers11 August 2026 — 10,348 subscribers12 August 2026 — 10,337 subscribers14 August 2026 — 10,324 subscribers15 August 2026 — 10,306 subscribers17 August 2026 — 10,291 subscribers18 August 2026 — 10,281 subscribers19 August 2026 — 10,277 subscribers20 August 2026 — 10,270 subscribers21 August 2026 — 10,259 subscribers22 August 2026 — 10,252 subscribers24 August 2026 — 10,243 subscribers25 August 2026 — 10,239 subscribers26 August 2026 — 10,233 subscribers27 August 2026 — 10,223 subscribers28 August 2026 — 10,220 subscribers29 August 2026 — 10,221 subscribers30 August 2026 — 10,218 subscribers31 August 2026 — 10,215 subscribers1 September 2026 — 10,211 subscribers6 August 20261 September 2026
25 measurements spanning 26 days, net -167. 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 10,186–10,403 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
1 Sept 2026, 11:1810,211-4
31 Aug 2026, 10:4510,215-3
30 Aug 2026, 08:1110,218-3
29 Aug 2026, 06:0810,221+1
28 Aug 2026, 05:5310,220-3
27 Aug 2026, 03:3310,223-10
26 Aug 2026, 06:1210,233-6
25 Aug 2026, 06:4210,239-4
24 Aug 2026, 10:0610,243-9
22 Aug 2026, 21:1410,252-7
21 Aug 2026, 14:0510,259-11
20 Aug 2026, 11:1710,270-7
19 Aug 2026, 08:3510,277-4
18 Aug 2026, 12:0310,281-10
17 Aug 2026, 10:1610,291-15
15 Aug 2026, 18:0410,306-18
14 Aug 2026, 08:1810,324-13
12 Aug 2026, 21:5810,337-11
11 Aug 2026, 19:3610,348-11
10 Aug 2026, 16:2210,359first reading

Engagement

30 posts held, back to 22 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 37 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.2%
avg views ÷ 10,211 subscribers
Avg views / post
1,240
12 posts measured
Reaction rate
1.27%
reactions ÷ views · ER floor
Posts in window
12
of 30 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 28 August 2026
Posts held30 (22 June 202628 August 2026)
Views total14,934
Reactions total190
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 03:33 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

Video runtime
1m 04s
Average length
32s

Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

497 reactions across 30 posts, in 10 distinct kinds. The most used accounts for 36.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18336.8%
🔥17635.4%
👍12825.8%
😱30.604%
🤯20.402%
👌10.201%
👏10.201%
🕊10.201%
😍10.201%
🤩10.201%

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 30 of the 30 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 497 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 22 June 2026 to 28 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

28 Aug 2026, 14:32 UTC914 views15 reactionsread 29 August 2026
Photo

ADEASE Еще один AI-сервис для маркетологов, который фокусируется на аналитике и управлении РК через промптинг. Типа ставится задача "необходимо снизить CPL в FB, разберись" - агент анализирует рекламные кампании и дает рекомендации, что предлагается к изменению и почему. Предложение можно апрувнуть и тогда агент сам внесет изменения в кампании. Раньше в сервисе было доступно только Meta Ads, но недавно добавили ещ

10👍2🔥2😱1

26 Aug 2026, 19:55 UTC≈1,160 views17 reactionsread 29 August 2026
Video

DEVILS APPS МЕНЯЮТ CEO ПОСЛЕ 7 ЛЕТ Об этом сегодня объявили во время affiliate войса на igaming chat. Кто станет новым CEO, пока неизвестно. Никаких подробностей о смене руководства тоже не раскрыли - только написали, что для сервиса начинается новый этап🤔 Оставляем фрагмент с войса 👆 Следим, что они расскажут дальше в канале

🔥85👍3🤯1

26 Aug 2026, 12:22 UTC≈1,110 views15 reactionsread 29 August 2026

MEIGEN В процессе серчинга альтернатив для Higgsfield наткнулся на новый сервис для генерации крео - MeiGen. Внутри доступно множество топовых моделей: 🔺Nanobanana 2 и Nanobanana Pro 🔺GPT Image 2.0 🔺Seedream 4.5 / 5.0 Lite 🔺Midjourney V8.1 🔺Flux 2 Klein 🔺Z Image Turbo Вдобавок к этому, есть интересная фича - с большой библиотекой сгенерированных материалов и промптами к ним. Например, можно найти визуально интерес

9👍3🔥3

26 Aug 2026, 08:05 UTC≈1,100 views15 reactionsread 29 August 2026
Photo

ЛАТАМ И АФРИКА ВСЁ ЕЩЁ ВЕЗЁТ ТАКОЙ ROI, ЧТО НЕУДОБНО ПОКАЗЫВАТЬ💸 Регион давно списали со счетов. Все ушли в перегретые гео драться за place - а мы как приёмка видим, что здесь реально происходит. После ЧМ по всей Латинской Америке идёт дикий окуп. Это не наши догадки — это то, что мы каждый день видим в объёмах команд, которые через нас принимают. Инвест, кредит, фейк казино, гемблинг - все воронки получили новый в

🔥8👍43

24 Aug 2026, 12:01 UTC≈1,100 views22 reactionsread 29 August 2026

ХАЛЯВНЫЙ CHATGPT НА 1 МЕСЯЦ В выходные ChatGPT начали промоакцию с раздачей подписок на 1 месяц бесплатно или на 3 месяца с 50% скидкой. Оффер рандомный и зависит от ГЕО аккаунта + удачи. Чтобы залутать бесплатный ChatGPT (или скидку) идем по следующему плану: 🔺Создаем новый аккаунт 🔺Кликаем по желаемой ссылке выше 🔺Открываем - если все правильно, то ценник будет 0 на первый месяц или кнопка Claim free offer. Есл

🔥12👍52😱2🤯1

24 Aug 2026, 08:02 UTC≈1,150 views8 reactionsread 29 August 2026
Photo

Soft2Bet запустила живое шоу про iGaming В выпусках Soft2Quiz журналистка Эрин Гэллахер разбирается в самых актуальных для индустрии вопросах: от пользовательских привычек до применения ИИ. Основная задача шоу — показать живые и честные мнения участников рынка. Эксперты отвечают на провокационные вопросы, делятся инсайдами и пробуют угадать, куда движется рынок в формате мини-игр вроде «Правда или Ложь». Первый э

4👍2🔥2

20 Aug 2026, 11:22 UTC≈1,280 views16 reactionsread 29 August 2026

PROMPTESSOR Очевидно, что на качество генерации влияет не только выбор модели, но и качество промптов. Недавно увидел прикольный сервис PrompTessor который разбирает промпты детально (с балльной оценкой + указанием сильных и слабых мест) и дает подсказки, что конкретно можно переработать или добавить. У ребят также есть кое-что интересное по фичам: 🔴Самым полезным для арбитрана тут будет - Reverse prompt. Можно ско

8🔥4👍3😍1

13 Aug 2026, 10:03 UTC≈1,400 views17 reactionsread 29 August 2026

DRAMA-КРЕО У белых маркетологов уже вовсю идет копирование трендов в духе "ты клубника, я клубника, как у нас мог родиться банан", так как подобный контент пробивает рекламную слепоту, намного активнее досматривается и имеет высокий конверт. Попробуем разобраться с тем, почему именно этот подход работает (помимо новизны) и как его адаптировать арбитражнику. Основные крючки, на которых держится работа подхода: 1. Тр

🔥9👍52👏1

11 Aug 2026, 14:32 UTC≈1,360 views17 reactionsread 29 August 2026
Photo

FREE ТОКЕНЫ НА $100 НА CLAUDE Один сайт с API -доступом к ИИ-моделям - tabitoken.com в качестве промокампании начал раздавать $100 в токенах, которые можно потратить на топовые модели от Anthropic: 🔺Claude-opus-5-thinking - причем ценник выгодно отличается от стандартного ($3 за 1 миллион токенов на ввод/вывод). 🔺Claude-opus-4-8-thinking - аналогично $1/$5 за миллион токенов на ввод/вывод. Как получить $100? 1. За

👍95🔥3

11 Aug 2026, 10:55 UTC≈1,430 views12 reactionsread 29 August 2026

Нашел самый лучший оффер с высоким чеком за последние месяцы... В @trafffhub каждый день радуют вкусными подборками по заливам. Обширный список продов и гео, лучшие ставки и саппорт 24/7 👉 TRAFFHUB Постят отборные предложения со всех партнерских программ Гембла, крипта, беттинг... В траффхабе твоему трафику найдут самое полезное и продуктивное применение Этот канал должен быть у каждого уважающего себя траффера

👍6🔥42

6 Aug 2026, 11:58 UTC≈1,550 views20 reactionsread 29 August 2026

ПОДХОД "ИЗ ГРЯЗИ В КНЯЗИ" Один из самых древних рекламных подходов, который заключается в том, что герой из бедняка с долгами достигает точки перелома и приобретает богатство. Работает такой подход лучше всего в Tier-3 и в Tier-2 странах. С оговорками можно применять и в Tier-1, так как тут работает сразу несколько мощных психологических крючков, которые привлекают аудиторию: 🔴Если просто показывать в крео красивую

9👍6🔥5

4 Aug 2026, 11:59 UTC≈1,380 views16 reactionsread 29 August 2026

LUX TTS LuxTTS - бесплатный и при этом достаточно качественный софт для преобразования текста в речь с открытым исходным кодом. Функционал у нее не особенно обширный, но хорошо оптимизированный: 🔺Во-первых, модель очень легковесная по современным меркам, ей достаточно ~1 ГБ видеопамяти, так что ее можно установить почти на любой ПК. 🔺Во-вторых, клонирование голоса тут работает на уровне моделей, которые в десятки р

9🔥4👍3

Showing the 12 most recent of 30 posts we hold for @arbtrn. 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 — 798,380 of 1,629,808 entries 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 1 registered channel — 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 1 September 2026 — this entry's latest reading, not the date you are reading this.

“АРБИТРАН” (@arbtrn), 10,211 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/arbtrn.

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.