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Во всём виноваты Гены

@Welcome_to_the_NHK

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

549subscribers

-2 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-1001357275424
TypeChannel
Username@Welcome_to_the_NHK
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/Welcome_to_the_NHK

Growth

5495515506 August 2026 — 551 subscribers6 August 2026 — 551 subscribers15 August 2026 — 549 subscribers6 August 202615 August 2026
3 measurements spanning 9 days, net -2. 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 549–551 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 06:45549-2
6 Aug 2026, 18:17551no change
6 Aug 2026, 09:24551first reading

Engagement

13 posts held, back to 30 May 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
24.8%
avg views ÷ 549 subscribers
Avg views / post
136
1 post measured
Reaction rate
10.3%
reactions ÷ views · ER floor
Posts in window
1
of 13 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 3 August 2026
Posts held13 (30 May 20263 August 2026)
Views total136
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 18:17 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.

Reaction mix

128 reactions across 13 posts, in 16 distinct kinds. The most used accounts for 25.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁3325.8%
custom 57740636666304968361814.1%
custom 5312255713379110250107.81%
custom 5433693624455931777107.81%
custom 522016654649145963986.25%
custom 528999598021569270286.25%
custom 527848914005945376975.47%
custom 537104201738617656664.69%
custom 543397122537214311764.69%
custom 520849781613293874153.91%
🗿53.91%
😱43.13%
32.34%
custom 612995961185318005321.56%
👍21.56%
custom 577833125780495155310.781%

Custom emoji. 11 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 13 of the 13 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 128reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 30 May 2026 to 3 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

3 Aug 2026, 15:15 UTC136 views14 reactionsread 6 August 2026
Photo

Photo, posted without a caption

😁7custom 57740636666304968364🗿2👍1

Signed Геннадий Д.

8 Jul 2026, 16:15 UTC363 views7 reactionsread 6 August 2026
Forwarded from @ritual_laughter

ПРИВЕТ ИЗВИНИ ЗА БЕСПОКОЙСТВО Привет! Я давно собирался сказать и вот наконец решился Я очень тебя люблю Ты самый красивый и добрый человек на земле У тебя очень классные рилсы И ты в них классная очень Твои тексты, манера съёмки, в целом авторский почерк Платья эти твои винтажные Твоё отношение к животным и к некоторым согражданам И много чего другого, за что я тебя полюбил И всегда любить буду Прости что во

custom 57740636666304968367

Signed Геннадий Д.

6 Jul 2026, 13:08 UTC318 views13 reactionsread 6 August 2026
Video

✍️

custom 537104201738617656662😁2👍1custom 52201665464914596391custom 57783312578049515531

Signed Геннадий Д.

16 Jun 2026, 15:18 UTC466 views6 reactionsread 6 August 2026
Photo

Поймал в сенях огромного комара. Всю жизнь считал таких особо опасными «малярийными» представителями сосущих паразитов. Но, хорошенько рассмотрев своего пленника, я заинтересовался отсутствием длинного хобота, позволяющего комарам прокусывать жертвам кожу. Скормил фотки нейросети и выяснил, что это совершенно безвредное насекомое под названием долгоножка или карамора. Мало того, что долгоножка никого не кусает и не

custom 57740636666304968366

Signed Геннадий Д.

5 Jun 2026, 16:37 UTC477 views17 reactionsread 6 August 2026
Photo

Аудитория приняла в штыки отход от яичного контента. Прошу не беспокоиться, выводы сделаны.

😁10custom 52784891400594537697

Signed Геннадий Д.

5 Jun 2026, 15:41 UTC419 views11 reactionsread 6 August 2026
Photo

Не, ну что бы вы думали? Ещё один залёт, судя по всему через ту же вытяжку. Выглядит уставшим, но за палец держался крепко. Понятия не имею, кстати, что за жук этот жук. В комментариях подсказали, что это золотистая бронзовка. Нашёл на Википедии великолепное описание: Бронзовка золотистая, может быть, и недостаточно изящна, но зато великолепно окрашена и отливает золотом. Кто не видел этого жука, похожего на большо

custom 531225571337911025010🗿1

Signed Геннадий Д.

5 Jun 2026, 11:24 UTC299 views8 reactionsread 6 August 2026
Video

И ещё один залётный. В этот раз через вытяжку в ванной. Грозный птиц, укусил меня за руку и не отпускал!

custom 52899959802156927028

Signed Геннадий Д.

3 Jun 2026, 08:56 UTC299 views9 reactionsread 6 August 2026
Video

Думали, всё? Ан нет!

custom 54339712253721431176🗿2😁1

Signed Геннадий Д.

30 May 2026, 13:25 UTC342 views9 reactionsread 6 August 2026

Примерно то, чем я занимаюсь последние пару месяцев:

😁7custom 52201665464914596392

Signed Геннадий Д.

30 May 2026, 12:03 UTC294 views10 reactionsread 6 August 2026
Video

Так, ну это уже слишком похоже на бехерит…

custom 543369362445593177710

Signed Геннадий Д.

30 May 2026, 05:32 UTC278 views7 reactionsread 6 August 2026

У меня тут, к слову, поинтересовались, как птиц в таких ситуациях ловить. На самом деле всё достаточно просто. Действует базовый принцип: дикая птица намного быстрее человека, но абсолютно не приспособлена к условиям тесного пространства. Её основной инстинкт при наличии опасности — улететь, но маневрировать у неё получается плохо, поэтому рано или поздно она сама себя загоняет в угол. Первого воробья мне удалось за

custom 52201665464914596395😁1custom 57740636666304968361

Signed Геннадий Д.

30 May 2026, 05:14 UTC248 views9 reactionsread 6 August 2026
Video

Оказалось, что их там было двое. Ситх и ученик. 😁

😁5😱4

Signed Геннадий Д.

Showing the 12 most recent of 13 posts we hold for @Welcome_to_the_NHK. 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 — 1,284,107 of 1,481,306entries 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.

“Во всём виноваты Гены” (@Welcome_to_the_NHK), 549 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/Welcome_to_the_NHK.

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.