8 measurements spanning 7 days, net -76. 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 46,089–46,187 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 15:26
46,100
-22
12 Aug 2026, 12:55
46,122
-14
11 Aug 2026, 09:44
46,136
-13
10 Aug 2026, 08:01
46,149
-9
9 Aug 2026, 05:03
46,158
-5
8 Aug 2026, 07:40
46,163
-8
7 Aug 2026, 09:30
46,171
-5
6 Aug 2026, 16:07
46,176
first reading
Engagement
9 posts held, back to 3 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 19 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
15.3%
avg views ÷ 46,100 subscribers
Avg views / post
7,040
9 posts measured
Reaction rate
14.1%
reactions ÷ views · ER floor
Posts in window
9
of 9 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
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
9 (3 August 2026 – 12 August 2026)
Views total
63,380
Reactions total
8,928
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 23:53 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
Photos
967
Videos
895
Links
99
Lifetime counters from Telegram’s own channel header, read 13 August 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.
Video runtime
1m 55s
Average length
38s
Measured directly from 3 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
8,928 reactions across 9 posts, in 10 distinct kinds. The most used accounts for 46.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,106
46.0%
😁
2,169
24.3%
🔥
1,387
15.5%
🎉
730
8.18%
👍
254
2.84%
🥰
163
1.83%
👏
93
1.04%
🤩
16
0.179%
😱
9
0.101%
😢
1
0.011%
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 9 of the 9 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 8,928reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 3 August 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.
Как мы вдруг оказались в Петербурге?
Это долгая история и уходит она корнями в юность Чарльза. Тогда, в 17 лет, он ушел из дома и не вернулся. Тяга к путешествиям забыла ему дорогу к дому и обещала интересную жизнь, полную приключений.
Автостопом по Австралии, жизнь в Японии, работа в Китае, фотографии во Вьетнаме, Ямал, Корсика, Антарктика… С ним можно было играть в города и страны и точно знать, что проиграешь.
И…
2 года назад в одном из роддомов Уфы родился беляшик Кристофер Шарль.
Коренной уфимец, считай)
И как-то сразу стало понятно, что жизнь уже не будет прежней, потому что в семье появился настоящий лев.
Не тот лев, который красиво лежит в саванне, наблюдая за антилопами. А тот, который с первых месяцев решил, что антилопы — это мы.
Да, Кристофер быстро освоился в должности главы семьи.
Говорит он пока не всё. Но, как …
Все, вернула мам Гале мужа и внука.
Галя от переизбытка чувств даже слезу пустила. Натерпелась за два дня. Наотдыхалась. Создавала в доме уют.
Муж Витя потом долго задумчиво смотрел на этот уютный отгрызенный косяк двери.
«А это ты чем так?», - спросил осторожно.
«Топором», - ответила Галя и подставила мужу тарелку с борщом.
Такая любовь 🥰
🔺Начало там🔺
В это время папа спокойно посапывал себе в городской квартире, когда неожиданно раздался звонок домашнего телефона. Он проснулся, но решил не подходить.
«Кому нужен я — позвонит мне на мобильный», — логично рассудил он и перевернулся на другой бок.
После пятого звонка (и заканчивающегося терпения у опаздывающего на работу соседа) папа наконец поднялся и лениво произнес:
— Алё…еж твою налево
Поэтому в…
Решила я тут маму спасти.
От мужицкого ига и кухонного деспотизма.
(У меня вообще сильно развит комплекс спасательницы. Мне дай только волю — побегу спасать даже тех, кто об этом не просил)
Тут дело было так.
Приехала я на дачу с провизией из города, а там мам Галя с внуком и мужем сидят. И такой глазик у нее грустный, и такой пар из ноздрей клубится, и такие вопросы риторические:
— И кто траву убирать будет?! Я ту…
Любите ли вы спать так, как люблю это делать я?😍
Конечно, любите. Кто ж не любит))
Хотя считается, что человек проводит во сне треть жизни. (Правда, тот, кто это придумал, скорее всего, не человек-мать😅)
И только в Уфе у меня получается выспаться. Здесь за мой сон отвечают две женщины.
Галя и Вера.
Галя — моя мама. Волшебная женщина, которая забирает Кристофера на дачу со словами:
— Всё. Иди уже наконец выспись.
И…
Какой там Париж, у нас тут доставка по России началась и своя перекличка городов. 😉
Уфа, Москва, Санкт-Петербург, Калининград, Екатеринбург, Ростов-на-Дону..
Девчонки вовсю посылочки получают. 🤗
Курьеры Pony, если увидите сегодня женщину, которая пытается обнять и расцеловать вас прямо в подъезде, — не пугайтесь. Расслабьтесь и получайте удовольствие) Это, скорее всего, наша😆
Это Чарльз прислал картинки из Парижууу.
Гуляет там без меня, грустит.
На третьем фото особенно заметно — уже даже нимб в штанах светится😂
Как-никак почти месяц без жены.
Говорит, без меня всё не то и всё не эдак. Со мной гулять веселее.
Конечно, веселее. Я через каждые парижские пятьсот метров на террасах кафе обязательно устраивалась: то жý доранж просить изволила, то капуччино, то бокальчик розé.
Потому что попив…
❤788😁149🔥131👍51🥰11🤩8
Showing the 9 most recent of 9 posts we hold for @ira_khay. 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
@ira_khay edited 2 posts 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
8 August 2026
Most recent edit
8 August 2026
Citation-graph rank
Citation-graph rank — 151,679 of 1,189,255entries 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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Ira_khay” (@ira_khay), 46,100 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/ira_khay.
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.
