Channel
@ifilla
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
305subscribers
+1 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001633807272 |
|---|---|
| Type | Channel |
| Username | @ifilla |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 3 times, most recently 12 September 2026 |
| On Telegram | t.me/ifilla |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Aug 2026, 14:24 | 305 | +1 |
| 13 Aug 2026, 14:18 | 304 | no change |
| 13 Aug 2026, 06:03 | 304 | first reading |
20 posts held, back to 24 March 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 20 posts for this entry, the most recent from 10 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
226 reactions across 19 posts, in 12 distinct kinds. The most used accounts for 51.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 117 | 51.8% | |
| ❤ | 40 | 17.7% | |
| 💯 | 28 | 12.4% | |
| 😁 | 16 | 7.08% | |
| 👍 | 15 | 6.64% | |
| 👏 | 4 | 1.77% | |
| ⚡ | 1 | 0.442% | |
| ❤🔥 | 1 | 0.442% | |
| 🍓 | 1 | 0.442% | |
| 🎉 | 1 | 0.442% | |
| 👻 | 1 | 0.442% | |
| 🤣 | 1 | 0.442% |
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 19 of the 20 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 226 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 24 March 2026 to 10 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ifilla. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 24 March 2026 to 10 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Друзья, напоминаю - завтра у нас стартует распродажа. Мы подготовили для вас лучше предложение в нашей истории — и по деньгам, и по составу пакетов. И даже сделали для вас ДВАДЦАТЬ новых программ. Я думаю, что это лучшее, что мы можем для вас сделать этим летом! Вся информация будет в канале распродажи - подписывайтесь, чтобы узнать все подробности: https://t.me/wt_rasprodazha
👏2
Кто что спрашивал у меня про мои программы кроме Кошки, на платформе стартует завтра распродажа, возможно там есть и мои программы
👏2
Читаю обработку трёх потоков Кошки Иишкой. От скромности я не помру это точно, ну какая же крутая она у меня получилась!
🔥15
Переварил первое впечатление. Это было реально очень круто! Спасибо всем, кто причастен! Ира - огонь в прямом и переносном смысле). Фил - и вправду жёсткий чертяга. Легко моет проехаться катком. Но я реально подумываю сходить к нему в августе. Два дня пролетели просто на одном дыхании. Мой изначальный скепсис улетучился за первые 15 минут. И как бы полезно это не было для продаж, это, в первую очередь, про нас с вами…
🔥8❤2
Провела очный тренинг- очень люблю это действо. И очень могу) в середине сентября начнём лингвистику
🔥6❤1
Вы же хотите, чтобы мы с Филатовой в воскресенье в 19 часов провели вебинар для вас? Вы же понимаете, что выше не вопрос, а утверждение? Вы же огонёк влупите и мы сделаем. А огоньков надо 300. А темой который вы интересуетесь, будет - как остаться человеком в этом море адского хаоса, и не потерять уважение к себе, когда люди вокруг массово меняют сексуальную ориентацию. Что мне поможет уважать себя. не теряя в д…
🔥22
Огоньки собираем у Фила в канале
Photo, posted without a caption
😁15❤3🎉1👍1🔥1🤣1
Как вы знаете, сейчас настали интересные времена. Это время, когда люди более осознанно, более тщательно подходят к покупкам. И покупают в основном у тех, кого лучше знают, кому больше доверяют, у тех, кто лучше и качественнее доносить выгоды сделки с вами до покупателей. И сейчас как никогда на первое место выходят ваши личные персонализированные навыки общения, навыки презентации, навыки доносить смысл, навыки уст…
🔥6
А вот и живой открытый тренинг, кто соскучился, добро пожаловать!
❤2
В Москве, ура, тоже весна! Не забудьте понюхать цветы! Только бережно, не ломая ветки! Это правда важно! И замечать весну и быть бережным
🔥18
Ещё одна попытка! А давайте потренируемся в присоединении? -важный инструмент в работе с конфликтами, при работе с возражениями, очень полезен для дружбы и построении семьи! - Да за такие деньги, меня на руках должны были носить, а вы мне какое-то гавно прислали, а не то, что я хотел! - я конечно вас внимательно выслушал, стелите вы хорошо, но мне надо подумать и посоветоваться со своими! -И вообще! Петя стопроцен…
🔥9
Showing the 12 most recent of 20 posts we hold for @ifilla. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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 28 August 2026 — this entry's latest reading, not the date you are reading this.
“Вся правда о нас” (@ifilla), 305 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/ifilla.
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.