Channel
@tatyanafedulina
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
214subscribers
+4 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001711080867 |
|---|---|
| Type | Channel |
| Username | @tatyanafedulina |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 3 times, most recently 15 September 2026 |
| On Telegram | t.me/tatyanafedulina |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 07:25 | 214 | +3 |
| 23 Aug 2026, 19:15 | 211 | +1 |
| 8 Aug 2026, 11:02 | 210 | no change |
| 7 Aug 2026, 14:14 | 210 | first reading |
8 posts held, back to 27 July 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 4 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.
30 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 36.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5314493296851053769 | 11 | 36.7% | |
| custom 5278332094580302939 | 9 | 30.0% | |
| custom 5278303786450849894 | 6 | 20.0% | |
| custom 5325774148713072812 | 3 | 10.0% | |
| custom 5384512714158662079 | 1 | 3.33% |
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 are Telegram’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 7 of the 8 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 30 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 27 July 2026 to 4 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.
- проснуться утром и выйти босиком по траве вокруг чисты воздух, поле и тишина, рядом река, ты бежишь не на работу, а берешь сап и сплавляешься по реке смотрю на фото с этих выходных на девичнике и хочется прожить заново 📍Афрейм Уютные вечера
8/8 Круговая (сегодня предпоследняя🔥) ➡️6 упражнений ➡️4 круга каждому ➡️45 сек работа Отдых: между упражнениями 2-3 вдоха между кругами 1 мин
custom 53144932968510537693custom 52783037864508498941custom 52783320945803029391
// Еда для либидо, его и ее очень наглядное фото попалось, и я сразу захотела вам поделиться питания напрямую определяет состояние наших горомонов, а затем и работу всей системы проверяйте, есть совпадения с вашим рационом?
custom 52783037864508498943custom 52783320945803029391custom 53144932968510537691
- девушки по этому списку продуктов сразу поймут, какой сегодня день календаря😬 📌этот день всегда сопровождает меня жуткими болями (жуткими сказано очень мягко) месяц назад я снова вернулась к теме своего женского здоровья, кажется, нашла верный путь и вот, сегодня тот день, когда я, как большинство моих знакомых подруг, могу сказать, что чувствую себя так, как будто ничего и нет 📌а еще этот день всегда вызывает у…
custom 52783320945803029393custom 53144932968510537691custom 53257741487130728121
7/8 Тренировка МТД (мышцы тазового дна) ➡️Описание для видео 1-6 1,3 ⬆️создать вытяжение позвоночника; 🔽ВДОХ 👉🏻колено внизу; ▶️ВЫДОХ 👉🏻бедро назад/ в сторону. 2, 4 ⬆️создать вытяжение позвоночника (взгляд на край коврика); ⬆️ВЫДОХ через рот (губы трубочкой)👉🏻разгибание бедра+вращение наружу+ слегка сжимать мышцы тазового дна; ⬇️ВДОХ носом👉🏻исходное подожение+ мышцы тазового дна в исходном положении (слегка расслаб…
custom 52783320945803029392custom 53144932968510537692custom 52783037864508498941
«чудо вода»😐 два единственно верных ингредиента: мои дорогие, качаем пресс, рационально питаемся и никакой маркетинг вас не возьмет💪🏻
custom 53144932968510537692custom 52783320945803029391
Японскую воду-оземпик завезли в Россию — производитель обещает, что минералка помогает сжигать жир всего с одной бутылки в день 🤔 В ней нет сахара и калорий, зато есть экстракт рисовых отрубей, который и обеспечивает нужный эффект Пока чудо-водой торгуют только в Краснодаре. Народ уже требует развезти новинку по всей стране
custom 53257741487130728122custom 53845127141586620791
6/8 3:20 ➡️6 упражнений ➡️Каждое упражнение выполнять 3 подхода по 20 повторений Повторений: 15 новичкам 20 повторений, кто давно на спорте Отдых: между подходами 2-3 вдоха между упражнениями 1 мин Только после того, как выполнили все подходы первого упражнения👉🏻переходить к следующему упражнению ⬆️ВЫДОХ делаем при подъемах вверх/ скручивании/ сгибании ⬇️ВДОХ делаем внизу/ при опускании/ расслаблении
custom 53144932968510537692custom 52783037864508498941custom 52783320945803029391
Showing the 8 most recent of 8 posts we hold for @tatyanafedulina. 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.
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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“Tatyana Fedulina” (@tatyanafedulina), 214 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/tatyanafedulina.
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.