Telegram RegisterThe public register of Telegram

Channel

крисгринпис 🐉

@krisgreenpeace

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

2,110subscribers

-8 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001208793899
TypeChannel
Username@krisgreenpeace
Created18 May 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/krisgreenpeace

Growth

2,1102,1182,1147 August 2026 — 2,118 subscribers7 August 2026 — 2,118 subscribers15 August 2026 — 2,110 subscribers7 August 202615 August 2026
3 measurements spanning 7 days, net -8. 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 2,109–2,119 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 02:282,110-8
7 Aug 2026, 20:312,118no change
7 Aug 2026, 19:532,118first reading

Engagement

10 posts held, back to 4 March 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
15.6%
avg views ÷ 2,110 subscribers
Avg views / post
330
1 post measured
Reaction rate
17.0%
reactions ÷ views · ER floor
Posts in window
1
of 10 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 31 July 2026
Posts held10 (4 March 202631 July 2026)
Views total330
Reactions total56
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 20:31 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
57s
Average length
29s

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

662 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 31.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💘21131.9%
💔11216.9%
custom 52512499893168082858613.0%
custom 52535831959406242407010.6%
custom 52517075622476231016910.4%
custom 5327870642509351062639.52%
custom 5343690093687234996355.29%
custom 5292171153517856137162.42%

Custom emoji. 6 of the rows above are 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 10 of the 10 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 662reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 4 March 2026 to 31 July 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.

Telegram Stars

Stars received
1,290
across the posts below
Posts paid on
9
of 10 we hold a reading for · 90%
Most on one post
1,000
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @krisgreenpeace. 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 10 most recent posts we hold for this entry, published 4 March 2026 to 31 July 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.

Recent posts

31 Jul 2026, 12:16 UTC330 views56 reactionsread 7 August 2026
Video message

Video message, posted without a caption

custom 525124998931680828535💘14custom 52517075622476231017

Signed Kristina

9 Jul 2026, 14:43 UTC794 views54 reactions10 Starsread 7 August 2026
Photo

Рейтинг сценаристов клуба романтики 😧 Уже ждет вас в тик-токе! Кажется, присутствует потенциал открыть очередной портал в ад 📼

💘32custom 532787064250935106212custom 52517075622476231016custom 52512499893168082854

Signed Kristina

8 Jul 2026, 11:42 UTC737 views54 reactions11 Starsread 7 August 2026
Photo

🌟🌟 Тренд на found footage-хорроры возвращается? Как игрок, травмированный Геншином, я ненавижу, что троп «найденного манускрипта» корпораты так и не переосмыслили. А потому историю или игровой лор нам рассказывают лишь через книжки, свитки или сны. Зато есть кино и инди-игры, которые развивают его уже в стилистике ‘найденных плёнок’.🌟 И, кажется, в ближайшие годы нас ждет новый виток found footage: не только в свеж

custom 525170756224762310131💘19custom 52512499893168082853custom 53278706425093510621

Signed Kristina

2 Jul 2026, 11:47 UTC839 views54 reactions10 Starsread 7 August 2026
Photo

Как же я обожаю переосмысление Alice in Wonderland 💋 Льюис Кэролл в принципе оставил нам настоящее сокровище: в оригинальном произведении скрыто бесконечное множество смыслов и пасхалок. 🙌 🌟🌟🌟🌟🌟🌟🌟 Но Алиса от Американа Макги занимает особое место в моём сердце. 🦿 Не то чтобы я любила платформеры (я вообще их ненавижу), но благодаря истории и проработке героини эта игра покорила меня навеки! 🌟🌟Скоро ещё

💘33custom 525124998931680828510custom 52517075622476231017custom 53278706425093510623💔1

Signed Kristina

2 Jul 2026, 09:50 UTC771 views89 reactions50 Starsread 7 August 2026

авторка так расстроилась из-за концовки бензочела, что перестала вести канал, верите? 😕 каждый раз, когда возвращаюсь сюда после таймскипа, чувствую себя как Саске во время побега из Конохи…

💔59💘13custom 525124998931680828510custom 53278706425093510626custom 52517075622476231011

Signed Kristina

24 Mar 2026, 19:46 UTC≈1,810 views85 reactions65 Starsread 7 August 2026
Photo

☺️ «Человек-Бензопила 2» официально ВСЁ 🔚 Ощущения такие, будто мне разбили сердце, лол. Я очень не хочу прощаться с этой историей, хотя давно пора. Чувствовалось, что Фуджимото очень старается не растерять свой авантюризм и не убить в себе творца. 🤩🤩 Если кратко, общее впечатление от манги хорошее: это было смешно, динамично, с большим количеством отсылок и тропов. Отдельная благодарность за Асу, в которой я увид

💔47custom 525124998931680828520custom 525358319594062424014custom 52517075622476231014

Signed Kristina

19 Mar 2026, 07:46 UTC≈1,360 views47 reactions1,000 Starsread 7 August 2026
Forwarded from @podcastbakaPhoto

🪚 Человек-бензопила: История Резе | Романтика против экшена Полнометражная экранизация «Человека-бензопилы» с помпой прокатилась по миру, собрав отличную кассу. Но действительно ли это классный фильм? В новом бонусном выпуске обсуждаем, почему у тайтла сменился режиссер? Каким получился образ Резе по сравнению с мангой? Стоит ли смотреть фильм случайным зрителям? И можно ли назвать «Человека-бензопилу» — главной ро

💘25custom 525358319594062424010custom 53278706425093510628custom 52512499893168082852custom 52517075622476231012

Signed Kristina

18 Mar 2026, 12:39 UTC≈1,140 views57 reactions62 Starsread 7 August 2026
Photo

Я впервые посмотрела все фильмы, номинированные на «Оскар», и пожалела об этом 📼📼 С одной стороны, я с трепетом отношусь к подобным церемониям, ведь номинанты, по сути, являются выжимкой основных страхов и надежд общества. Или даже формой бунта :), как это было с #OscarSoWhite, что позволило нам увидеть больше репрезентации разных культур и рас. Но с другой, «Оскар» всегда был политизированной премией с акцентом на

custom 525358319594062424037💘11custom 53278706425093510628custom 52517075622476231011

Signed Kristina

6 Mar 2026, 07:31 UTC≈1,750 views100 reactions32 Starsread 7 August 2026
Photo

я знаю, что это идеальный пейринг, но не могу доказать..

💘53custom 532787064250935106224custom 525170756224762310110custom 52535831959406242406💔5custom 52512499893168082852

Signed Kristina

4 Mar 2026, 13:52 UTC≈1,270 views66 reactions50 Starsread 7 August 2026
Photo

🤩 Как я изучаю кинематограф: Auteur Theory × Star Studies × Corpus Analysis Я убеждена, что кино сравнимо с погружением в коллективный сон, а самое важное в нём — персональная интерпретация смыслов самим зрителем. Но есть еще один вариант, самый интересный — найти ‘личное’ автора и сопоставить с собственным опытом просмотренного. Именно поэтому я переадаптировала классические методы анализа кино и выстроила систему,

custom 534369009368723499635custom 529217115351785613716💘11custom 52535831959406242403custom 53278706425093510621

Signed Kristina

Showing the 10 most recent of 10 posts we hold for @krisgreenpeace. 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.

Citation-graph rank

Citation-graph rank — 1,323,595 of 1,480,688entries 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

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.

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.

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.

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

“крисгринпис 🐉” (@krisgreenpeace), 2,110 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/krisgreenpeace.

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.