Gaming — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 2 other registered channels. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (1 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 104 comparable posts for this entry, running 21 July 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 2 channels, the one whose matching posts we hold earliest is @lagertagame — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
64 measurements spanning 98 days, net +2,037. 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 27,581–30,293 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
12 Nov 2026, 00:20
29,931
-11
10 Nov 2026, 00:36
29,942
-15
8 Nov 2026, 13:00
29,957
-3
7 Nov 2026, 10:25
29,960
+15
6 Nov 2026, 10:48
29,945
+18
4 Nov 2026, 13:30
29,927
-12
3 Nov 2026, 12:46
29,939
+1
2 Nov 2026, 15:36
29,938
-6
1 Nov 2026, 19:08
29,944
-21
31 Oct 2026, 21:05
29,965
-15
30 Oct 2026, 19:20
29,980
+6
29 Oct 2026, 15:44
29,974
+4
28 Oct 2026, 16:55
29,970
+40
27 Oct 2026, 17:50
29,930
+57
26 Oct 2026, 14:54
29,873
-6
25 Oct 2026, 12:20
29,879
+9
24 Oct 2026, 13:47
29,870
-4
23 Oct 2026, 13:10
29,874
+34
22 Oct 2026, 14:10
29,840
+45
21 Oct 2026, 06:07
29,795
first reading
Engagement
114 posts held, back to 21 July 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 160 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
57.0%
avg views ÷ 29,931 subscribers
Avg views / post
17,100
32 posts measured
Reaction rate
2.70%
reactions ÷ views · ER floor
Posts in window
32
of 114 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 November 2026
Posts held
114 (21 July 2026 – 12 November 2026)
Views total
546,210
Reactions total
14,768
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 00:04 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
≈1,770
Videos
≈37
Links
≈429
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 36s
Average length
1m 36s
Measured directly from 1 video 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
48,879 reactions across 114 posts, in 14 distinct kinds. The most used accounts for 31.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5215457570117941347
15,459
31.6%
custom 5397645126422009958
12,650
25.9%
custom 5363971169777134680
11,219
23.0%
custom 5264712456931943422
6,962
14.2%
custom 5210916050224316106
870
1.78%
custom 5217489042404310788
529
1.08%
custom 5217807522819241608
502
1.03%
custom 5449910652166515393
296
0.606%
custom 5384566435609613661
150
0.307%
custom 5386742562394515178
83
0.17%
custom 5215536309753381814
75
0.153%
custom 5449891238914339902
47
0.096%
custom 5328001334069206357
28
0.057%
custom 5217838468058611688
9
0.018%
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 are Telegram’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 114 of the 114 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 48,879 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 114 most recent posts we hold, published 21 July 2026 to 12 November 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
Telegram’s own ‘edited’ marker: 4 of 32 posts held from the last 30 days (12.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🍩 БОЛЬШЕ ПОНЧИКОВ С ПОДПИСКОЙ
Любимых историй много, а пончиков всегда хочется ещё больше! С подпиской вас ждут приятные бонусы, дополнительные награды и радости, которые сделают каждое обновление ещё интереснее.
Что вас ждёт с подпиской?
🍩 Увеличенная ежедневная награда;
🤌 Двойной бонус за просмотр рекламы и прохождение серий;
👗 Доступ к образам прошлых обновлений в магазине;
👍 Дополнительная крутка Колеса фортуны…
🤩 КВАСИЛИСА В ВАШИХ ЧАТАХ
Почти 6 000 человек уже познакомились с миром визуальной новеллы «Гардарики: Зов Души». В честь этого события наши друзья, разрабатывающие БОЛЬШУЮ Action RPG в данной вселенной, пополнили свой стикерпак очаровательной Небылью 🤤
Бойкая, харизматичная и невероятно милая, она готова покорять ваши переписки!
Стикеры: https://t.me/addstickers/GardarikiZHabichIKvasilisa
Эмодзи: https://t.me/add…
ОСОБНЯК НА ХОЛМЕ: ОБСУЖДЕНИЕ
В новых сериях героиню ждали неожиданные встречи с теми, кого она никак не ожидала увидеть, да ещё и в совершенно непривычных для неё образах…
Как вы отреагировали на перемещение? Понравилась ли вам свадебная церемония? И самое интересное — кто был вашим избранником на данном мероприятии? И, конечно, особого внимания заслуживает встреча с бабушкой... Разделили ли вы эмоции героини в это…
Тыквенная магия ослабевает 🎃
Уже 12 ноября из колеса пропадут: Юкио, Кристофер, Гаспар, Бертран и Кадзэ
А из магазина исчезнут тематические образы Майкла, Ады и Рейнхарда
Им на замену придут новые красавчики... Уже догадываетесь, кто именно?
Пополнить запас пончиков вы можете на нашем сайте. Успевайте получить любимых фаворитов, пока не стало поздно!
КОГДА ПРОСЫПАЮТСЯ ДРАКОНЫ: ОБСУЖДЕНИЕ
Новые серии оказались особенно богаты на сюжетные развилки! В зависимости от выбранного любовного интереса героиня могла оказаться в совершенно разных ситуациях, а каждый слот мог подарить игрокам свои уникальные моменты и впечатления.
Настало время делиться впечатлениями. Как оцените развитие сюжета? Какие эпизоды вызвали больше всего эмоций? И, конечно, поинтересуемся, смогл…
СМУТА: ЗОВ СЕРДЦА | ОБСУЖДЕНИЕ
Знакомая история, но совершенно новые впечатления 🫴
Для кого-то это возможность вновь встретиться с любимыми героями, а для кого-то — впервые погрузиться в данную новеллу.
Делитесь эмоциями! Какой путь вы выбрали для своей героини? Кто из мужчин оказался мил сердцу? И, конечно, какие изменения вы заметили, если знакомы с оригинальной версией истории? Обсуждаем всё ❤️
🔔 Новые серии уже доступны в приложении!
Пополнить баланс пончиков вы можете на сайте: https://lagerta.games/shop/ 🍩
Желаем всем приятной игры! А обсудить новые серии можно в комментариях или нашем чате, мы рады видеть ваши искренние эмоции ❤️
История уже доступна в приложении ⚡️
Родной дом больше не сулит безопасности, а впереди ждёт жизнь за монастырскими стенами. Не желая мириться с чужой волей, юная девушка решается на отчаянный шаг — бежать, переодевшись мужчиной.
Так она оказывается среди казаков, где каждый день становится испытанием. Здесь ей предстоит научиться жить по новым правилам, завоевать доверие товарищей и любой ценой сохранить свою тайн…
ГАРДАРИКИ: ЗОВ ДУШИ | ОБСУЖДЕНИЕ
«Гардарики: Зов души» — действительно уникальная история, ведь она вышла сразу завершённой! Ждать обновлений не нужно — все 26 серий уже доступны для прохождения совершенно бесплатно ❤️
Самое время делиться впечатлениями! Арка какой героини показалась вам самой захватывающей? Кто из фаворитов запал вам в душу? Какая концовка ждала вас при первом прохождении? И рискнули ли вы собрать…
ВЫХОДИ ЗА МЕНЯ 💍
Именно эти слова, возможно, услышат некоторые из вас в грядущем обновлении...
Но кто решится сделать предложение? И в какой истории прозвучит заветный вопрос?
Узнаем совсем скоро! А пока предлагаем поделиться своими догадками в комментариях ❤️
Showing the 12 most recent of 114 posts we hold for @lagertagame. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Насколько вам было очевидно, что цикл ежедневных наград длится 30 дней, после чего начинается заново?
Всё понятно!58%
Это вообще неочевидно!42%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 114 most recent posts we hold, published 21 July 2026 to 12 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 28 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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.
Seven Hearts Stories – Визуальные новеллы @sevenheartsstoriesofficial · 93,515 Telegram ranks this channel #8 of 69 here — alongside 68 others — read 18 August 2026
Seven hearts stories 💜Файлы|Гайды @sevenheartsstories · 46,214 Telegram ranks this channel #30 of 73 here — alongside 72 others — read 28 August 2026
This channel appears in 2 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Lagerta — интерактивные истории” (@lagertagame), 29,931 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/lagertagame.
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.