Telegram RegisterThe public register of Telegram

Channel

привет я женя

@killthismovie

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

200subscribers

+3 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004485988564
TypeChannel
Username@killthismovie
Descriptionwritten and directed by @cann3berge 18+
CreatedBetween 1 June 2026 and 2 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 August 2026
Measurements held3
On Telegramt.me/killthismovie

Growth

197200198.56 Aug 2026, 06:35 — 197 subscribers6 Aug 2026, 15:13 — 200 subscribers7 Aug 2026, 04:02 — 200 subscribers6 Aug 2026, 06:357 Aug 2026, 04:02
3 measurements taken within a single day, net +3. 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 197–200 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 04:02200no change
6 Aug 2026, 15:13200+3
6 Aug 2026, 06:35197first reading

Engagement

6 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
66.5%
avg views ÷ 200 subscribers
Avg views / post
133
6 posts measured
Reaction rate
18.2%
reactions ÷ views · ER floor
Posts in window
6
of 6 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
WindowRolling 30 days · latest post in window 6 August 2026
Posts held6 (2 August 20266 August 2026)
Views total798
Reactions total145
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 04:02 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
139
Links
6

Lifetime counters from Telegram’s own channel header, read 7 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.

Reaction mix

145 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 39.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 52175735072311417965739.3%
custom 52177371326002174794430.3%
custom 52177744988156937914430.3%

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 areTelegram’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 6 of the 6 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 145reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 2 August 2026 to 6 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

6 Aug 2026, 11:40 UTC86 views36 reactionsread 7 August 2026
Photo

🌟 пост про трилогию ти веста «х» ; [ пишу про фильмы в хронологическом порядке истории: pearl (2022) – x (2022) – maxxxine (2024), хотя сняты они в порядке: x – pearl – maxxxine ] я обожаю миа гот и думала, что эта трилогия тоже очень зайдет мне, но по итогу лучшим фильмом цикла оказался «pearl» (2022), он является предысторией бабки из «х» (2022). для меня он также, наверное, самый страшный в серии. было очень жут

custom 521773713260021747914custom 521757350723114179612custom 521777449881569379110

6 Aug 2026, 10:04 UTC90 views21 reactionsread 7 August 2026

200 ПОДПИСЧИКОВ!!! 🤩

custom 521757350723114179611custom 52177371326002174795custom 52177744988156937915

3 Aug 2026, 15:28 UTC150 views25 reactionsread 7 August 2026
Photo

wasabi, 2001 gérard krawczyk откладывала этот фильм несколько лет, наверное, и совершенно не пожалела о том, что всё-таки решила посмотреть его!! не люблю боевики, но это было очень вайбово. не уверена, что смогу объективно высказаться о нем, потому что вайб японии нулевых мне дороже даже если в нем нет никаких глубоких смыслов, метафор и прочего, то его просто очень приятно смотреть. полная ерунда, но такая родная

custom 521773713260021747910custom 52175735072311417969custom 52177744988156937916

2 Aug 2026, 19:16 UTC164 views15 reactionsread 7 August 2026
Photo

🌟 навигация с важными постами и прочими штуками 📎небольшой пост-знакомство [ думаю, что позже перепишу его и побольше расскажу о себе ] ; 📎навигация по жанрам ; 📎предложка фильмов [ + можете кидать в анон ] ; 📎чут-чут про кинокритику ; мои списки на лб: 📎мои любимые фильмы ; 📎фильмы, упоминаемые/используемые в треках овсянкина ; 📎рекомендации подписчиков ; хештэги: #review@killthismovie – полноценный ревью

custom 52175735072311417966custom 52177371326002174795custom 52177744988156937914

2 Aug 2026, 13:25 UTC168 views28 reactionsread 7 August 2026
Photo

the scent of green papaya, 1993 trần anh hùng боже, храни фильмы, в которых ничего не происходит 🙏🙏 люблю повседневность и настоящность в фильмах, а этот фильм кажется ну очень настоящим и невероятно красивым!! [ решила даже побольше скринов прикрепить ] лично мне такие медленные и спокойные фильмы помогают справиться с тревожностью сам фильм рассказывает о жертвах и одиночестве вьетнамских женщин, для которых сем

custom 521777449881569379113custom 52175735072311417969custom 52177371326002174796

2 Aug 2026, 07:59 UTC140 views20 reactionsread 7 August 2026

★ мне нечего делать, буду отсматривать крик, начиная со второй части [ первую люблю и помню очень хорошо, а вот последующие части не смотрела ни разу ] потом напишу ревью про франшизу в целом, и в каком состоянии для кинематографа и хоррор-жанра я нашла её в наши дни ; что будете смотреть сегодня? 😬

custom 521757350723114179610custom 52177744988156937916custom 52177371326002174794

Showing the 6 most recent of 6 posts we hold for @killthismovie. 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.

Citation-graph rank

Citation-graph rank — 316,121 of 1,169,250entries 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.

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

Named by 4 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.

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 7 August 2026 — this entry's latest reading, not the date you are reading this.

“привет я женя” (@killthismovie), 200 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/killthismovie.

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.