Channel
@whymarketing
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
88,460subscribers
-27,438 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001860095294 |
|---|---|
| Type | Channel |
| Username | @whymarketing |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/whymarketing |
Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 90% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 10:18 | 88,460 | -827 |
| 16 Sept 2026, 23:01 | 89,287 | -788 |
| 15 Sept 2026, 00:20 | 90,075 | -933 |
| 13 Sept 2026, 08:55 | 91,008 | -847 |
| 11 Sept 2026, 12:40 | 91,855 | -1,398 |
| 8 Sept 2026, 18:56 | 93,253 | -2,111 |
| 5 Sept 2026, 12:20 | 95,364 | -1,092 |
| 3 Sept 2026, 17:37 | 96,456 | -908 |
| 2 Sept 2026, 08:07 | 97,364 | -2,047 |
| 1 Sept 2026, 08:07 | 99,411 | -1,013 |
| 31 Aug 2026, 07:57 | 100,424 | -876 |
| 30 Aug 2026, 10:27 | 101,300 | -1,242 |
| 29 Aug 2026, 07:52 | 102,542 | +81 |
| 28 Aug 2026, 09:34 | 102,461 | +1,345 |
| 27 Aug 2026, 11:27 | 101,116 | +3,519 |
| 26 Aug 2026, 09:04 | 97,597 | +3,743 |
| 25 Aug 2026, 09:45 | 93,854 | -910 |
| 24 Aug 2026, 11:55 | 94,764 | +1,218 |
| 22 Aug 2026, 21:24 | 93,546 | +6,424 |
| 21 Aug 2026, 12:43 | 87,122 | first reading |
170 posts held, back to 2 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 93 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 19 September 2026 |
|---|---|
| Posts held | 170 (2 August 2026 – 19 September 2026) |
| Views total | 1,345,320 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 19 Sept 2026, 12:24 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.
Lifetime counters from Telegram’s own channel header, read 19 September 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.
Measured directly from 11 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.
152 reactions across 15 posts, in 10 distinct kinds. The most used accounts for 72.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 110 | 72.4% | |
| 🌚 | 14 | 9.21% | |
| ❤🔥 | 7 | 4.61% | |
| 🕊 | 7 | 4.61% | |
| 💘 | 5 | 3.29% | |
| 🔥 | 5 | 3.29% | |
| 👏 | 1 | 0.658% | |
| 💋 | 1 | 0.658% | |
| 🤔 | 1 | 0.658% | |
| 🤯 | 1 | 0.658% |
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 15 of the 170 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 152 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 170 most recent posts we hold, published 2 August 2026 to 19 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.
Звучит странно и неожиданно, но Balenciaga заколлабилась с SEGA. Бренды выпустили совместную коллекцию, посвящённую главному персонажу SEGA — Сонику. В коллекцию вошли футболки, лонгсливы, худи, а также куртка и кепки. Понятное дело, что на одежде куча элементов с отсылками к вселенной Соника. Что классно — в токийском флагманском магазине Balenciaga бренды установили два винтажных аркадных автомата SEGA Blast City…
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🦆 «Лебединое озеро» прямо на ПЛЕДЕ — бренд РЕЧИ выпустил домашний текстиль по мотивам легендарного балета. На пледе — сцена с Одеттой и заколдованным озером, выполненная в чёрно-белой графике. Стоимость — 15 990 ₽.😄
🚗 Porsche превратила альпийские перевалы в свой личный полигон. Бренд выпустил лимитированный 911 GT3 Bergsport — всего 100 экземпляров. В основе — GT3 Touring с облегчённым пакетом, атмосферным 4,0-литровым мотором и механикой. А снаружи — специальное оформление в альпийском стиле. Правда, купить такой Porsche получится только в Австрии, Франции, Италии или Швейцарии.
Duolingo полезли в лакшери моду. Ребята дропнули коллекцию одежды и аксессуаров для недели моды в Нью‑Йорке, которая обучает правильному произношению премиальных брендов.
🪑 Стул в виде ВОЛОС: всё тот же muddycap показал новую забавную разработку. Ножками служат два фена, а присесть можно прямо на извивающиеся локоны.
Гарвардский экономист выяснил: чем больше времени вы проводите на созвонах и встречах, тем выше шанс получить прибавку. Совещания оказались самым сильным предиктором роста дохода — сильнее индивидуальной работы и даже переписки. Чем чаще вы появляетесь на митах, тем заметнее становитесь для руководства и коллег.
Китайцы нашли способ больше никогда не спорить, чья очередь выносить мусор. Теперь это можно поручить специальному человеку, который за 100 юаней в месяц будет освобождать время клиента даже на такой мелочи. Человеку достаточно выставить мусор за порог — с работником даже не нужно видеться. Причём дело, как говорят сами китайцы, не всегда в лени. Один из клиентов такой службы поделился, что не занимается выносом мус…
Во время трансляции US Open оператор в момент, когда часы показывали 0:07, перевёл камеру на Пирса Броснана, который раньше играл агента 007 в Бондиане. Таким образом Rolex получил отличные охваты, а эти кадры моментально разлетелись по соцсетям. Забавный факт, что до Пирса Броснана Джеймс Бонд носил Rolex, а начиная именно с фильмов с Броснаном — Omega.
Tiffany факапнулись в собственном имени. Финал US Open закончился не только трофеем, но и фейлом: на награде от Tiffany & Co. зрители заметили криво выведенные буквы F и N. Забавно, что компания делает кубки для турнира почти 40 лет, но в этот раз промахнулась в самом святом — в собственном названии. Кто-то без премии останется
🍵 Starbucks решили бороться с чувством одиночества в своих кафе. Компания вкладывает $1 млрд в обновление интерьеров: закупят 25 тысяч стульев, добавят ковры и книги, чтобы сделать пространство менее стерильным и более живым.
Showing the 12 most recent of 170 posts we hold for @whymarketing. 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.
Named by 51 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 23 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.
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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“Маркетинг в деталях” (@whymarketing), 88,460 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/whymarketing.
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.