В нерегулярной ретро-рубрике сегодня Хелена Кристинсен в коипе Криса Айзека «Whiked game» (1989 г.)

Channel
PRAvDA
@pravdatgg
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
7,353subscribers
-89 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001716627767 |
|---|---|
| Type | Channel |
| Username | @pravdatgg |
| Created | 30 August 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/pravdatgg |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 21:01 | 7,353 | -7 |
| 2 Sept 2026, 04:23 | 7,360 | -13 |
| 30 Aug 2026, 05:47 | 7,373 | -18 |
| 27 Aug 2026, 05:14 | 7,391 | -14 |
| 23 Aug 2026, 22:33 | 7,405 | -3 |
| 19 Aug 2026, 20:53 | 7,408 | -8 |
| 16 Aug 2026, 16:25 | 7,416 | -6 |
| 13 Aug 2026, 02:57 | 7,422 | -11 |
| 9 Aug 2026, 18:42 | 7,433 | -8 |
| 6 Aug 2026, 14:41 | 7,441 | -1 |
| 6 Aug 2026, 10:20 | 7,442 | no change |
| 6 Aug 2026, 10:00 | 7,442 | first reading |
Engagement
52 posts held, back to 5 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 15 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.39%
- avg views ÷ 7,353 subscribers
- Avg views / post
- 249
- 34 posts measured
- Reaction rate
- 2.08%
- reactions ÷ views · ER floor
- Posts in window
- 34
- of 52 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. It is computed over the 28 of 34 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 52 (5 August 2026 – 28 August 2026) |
| Views total | 8,463 |
| Reactions total | 147 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 23:18 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
- 23s
- Average length
- 12s
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
211 reactions across 40 posts, in 9 distinct kinds. The most used accounts for 70.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 148 | 70.1% | |
| ❤🔥 | 37 | 17.5% | |
| 😍 | 7 | 3.32% | |
| 👍 | 6 | 2.84% | |
| 💔 | 6 | 2.84% | |
| 🍓 | 2 | 0.948% | |
| 💘 | 2 | 0.948% | |
| 🔥 | 2 | 0.948% | |
| 🥰 | 1 | 0.474% |
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 40 of the 52 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 211 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 52 most recent posts we hold, published 5 August 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
#PRAvDA_GASTRO_NEWS 4 повода сходить в ресторан в эти выходные 💃🏼 • 🍒 Marble × Divage До 6 сентября в бистро на Никитском бульваре подают муссовую вишню с вишней, молочным шоколадом и миндалём. К десерту за 650₽ – бьюти-подарок Divage: пудра или масло для губ, а при заказе от 2000₽ – ещё и mystery-набор. 📍 Никитский бульвар, 10 • 🍣 Fumisawa Sushi – за японской классикой отправляемся на Петровку. В меню – суши и саш…
❤2❤🔥1💔1😍1
Есть уход, к которому хочется возвращаться каждый день ✨ Последний месяц я тестирую пептидную линию ELDAN Cosmetics. В основе формул — омолаживающий трипептидный комплекс, экстракты тимьяна и буддлеи Давида с антиоксидантным действием. Лёгкие текстуры: средства быстро впитываются, не перегружают кожу, оставляя ощущение мягкости и ухоженности. • 💧 Пептидный тоник с комплексом пептидов стимулирует синтез компонентов …
😍4❤🔥1💘1
#утреннее
❤5
Расслабленные костюмы Belle you🤎 Понравился коричневый. С бесконечными московскими дождями – самое то☔️
❤2
#PRAvDA_GASTRO_NEWS Какие планы на последние выходные этого лета? Надеюсь, они будут действительно летними.. 🌞 «Магаданский двор» в «Аляске» 29 августа с 15:00 во дворе гастробара «Аляска» будут отмечать лето по-магадански : лагман из казана, шашлыки, сидровый сабраж и устрицы, приготовленные на углях. 📍 Бобров переулок, 4с1 🎧 Chillrave Daytime в Leveldva 29–30 августа. Обещают автобус, батут, собак и максимально …
❤2🔥1
Моя стратегия ухода за кожей в 47 Не так давно я показывала свои баночки. Сегодня расскажу, что изменилось в моём уходе за кожей за последние месяцы. В моём возрасте кремами и сыворотками я уже, конечно, не ограничиваюсь. Этим летом впервые сделала Новакутан – биоревитализацию на основе гиалуроновой кислоты. Процедура направлена на увлажнение кожи, улучшение её качества и уменьшение мелких морщин. Эффект я заметила…
❤5💘1🥰1
#утреннее Утро – не самое подходящее время для серьезных выводов
❤4
Dior выжимает максимум из четырехлистника ☘️ Очень нравится фактура, хочется трогать, рассматривать и обладать❤️🔥
👍5
#PRAvDA_GASTRO_NEWS ODZU × Asia Beauty Spa: гастрономический SPA-ритуал 🍵 Японский ресторан ODZU и Asia Beauty Spa запустили совместную коллаборацию — гастрономический сет с мини-тартаром из гребешка, тунца и лосося, цитрусовым тартом, японским клубничным ликером и чаем габа. Перед подачей гостям предлагают теплое полотенце с настоем зеленого чая, а завершает ритуал чашка горячего габа. При заказе сета каждый гость…
❤1
Немного роскошеств с утра Tiffany & Co
❤🔥4
#утреннее Кажется, лучший возраст – тот, в котором уже хорошо знаешь, что тебе нравится
❤9👍1
Showing the 12 most recent of 52 posts we hold for @pravdatgg. 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.
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
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@umkatgk · 52,266
Telegram ranks this channel #37 of 53 here — alongside 52 others — read 24 August 2026
@stikery_emodzi_memy · 1,227,481
Telegram ranks this channel #50 of 59 here — alongside 58 others — read 8 August 2026
@evkasup13 · 103,774
Telegram ranks this channel #54 of 54 here — alongside 53 others — read 15 August 2026
@evodays · 387,009
Telegram ranks this channel #57 of 60 here — alongside 59 others — read 10 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“PRAvDA” (@pravdatgg), 7,353 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/pravdatgg.
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.