🌏 Хроники освобождения Земли от глубинного государства
🩵 ТГ-канал моей Школы: @dolgorukaya_kurs
💙 ВК: https://vk.ru/telo_sveta
❤️ Ютуб http://www.youtube.com/@SotisProject
Регистрационный номер 5141005741
Created
23 October 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Health & wellness — 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 96% 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 why it has no browse page of its own yet.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
32 measurements spanning 43 days, net -226. 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 26,325–26,619 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 01:37
26,359
-2
15 Sept 2026, 17:40
26,361
-10
14 Sept 2026, 03:56
26,371
-2
12 Sept 2026, 13:15
26,373
-24
10 Sept 2026, 08:36
26,397
-16
7 Sept 2026, 03:40
26,413
-18
4 Sept 2026, 10:38
26,431
-11
2 Sept 2026, 20:36
26,442
-3
1 Sept 2026, 22:26
26,445
-7
31 Aug 2026, 19:54
26,452
-3
30 Aug 2026, 20:43
26,455
-12
29 Aug 2026, 18:54
26,467
-2
28 Aug 2026, 19:38
26,469
-3
27 Aug 2026, 22:55
26,472
-6
25 Aug 2026, 22:45
26,478
-5
24 Aug 2026, 23:33
26,483
-2
23 Aug 2026, 10:36
26,485
-8
21 Aug 2026, 23:54
26,493
-9
20 Aug 2026, 17:08
26,502
-5
19 Aug 2026, 17:42
26,507
first reading
Engagement
168 posts held, back to 3 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.90%
avg views ÷ 26,359 subscribers
Avg views / post
2,340
70 posts measured
Reaction rate
2.52%
reactions ÷ views · ER floor
Posts in window
70
of 168 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 67 of 70 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 22 September 2026
Posts held
168 (3 August 2026 – 22 September 2026)
Views total
164,133
Reactions total
3,941
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Sept 2026, 04:51 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
≈14,000
Videos
≈6,750
Links
≈10,000
Lifetime counters from Telegram’s own channel header, read 23 September 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
53m 14s
Average length
1m 26s
Measured directly from 37 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
12,603 reactions across 160 posts, in 40 distinct kinds. The most used accounts for 48.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6,163
48.9%
🔥
2,022
16.0%
👍
1,470
11.7%
🙏
613
4.86%
😁
502
3.98%
🤔
376
2.98%
👏
272
2.16%
🤣
221
1.75%
💯
185
1.47%
🥰
185
1.47%
🤡
95
0.754%
👎
90
0.714%
😍
64
0.508%
👀
54
0.428%
🤯
42
0.333%
🕊
35
0.278%
🤩
29
0.23%
⚡
26
0.206%
😨
24
0.19%
🤨
21
0.167%
20 further kinds
114
0.905%
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 160 of the 168 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 12,603 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 168 most recent posts we hold, published 3 August 2026 to 22 September 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
20
across the posts below
Posts paid on
18
of 167 we hold a reading for · 11%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @reiki_dolgorukaya. 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 168 most recent posts we hold for this entry, published 3 August 2026 to 22 September 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.
На работу теперь только так: в Китае теперь можно купить даже летающую тарелку — местный стартап выпустил аэромобиль в виде НЛО за примерно 10 млн рублей.
iUFO разгоняется до 50 км/ч и летает 15 мин на одной зарядке. Максимальная высота ограничена 30 метрами, а из фишек есть автопилот и возможность посадки на воду.
Использовать аппарат предлагают для обзорных экскурсий и шоу.
TECH INSIDER в ТГ | в MAX
переходи⤴️
✅ WATCH: Вы видите подлинные кадры с Венеры, сделанные аппаратом "Венера-13" 1 марта 1982 года, когда советская автоматическая межпланетная станция «Венера-13» совершила успешную посадку на поверхность планеты и передала первые в истории цветные панорамные изображения Венеры.
👆Как раз в тему новый фильм Стивена Спилберга «День Разоблачения» (2026).
Он интересен, на мой взгляд, не сюжетом (сюжет там слабый), а тем, что в нем показано, НАСКОЛЬКО сложно донести до общественности правду об НЛО. Что как раз делает сейчас Трамп, раскрывая эти документы в приемлемом для людей формате, постепенно.
✅ 18 сентября правительство обнародовало новые материалы об НЛО, включая кадры, связанные с наблюдением неопознанных объектов в штате Юта в 1952 году, а также более свежие видеозаписи. Некоторые случаи так и остались неразгаданными.'
🇸🇰 🇺🇦 🇷🇺 Украина совершила ошибку, послушав "русофобный Запад" и не заключив мир с Россией в 2022 году, заявил премьер Словакии Фицо.
По его словам, стратегия Запада победить Россию при помощи конфликта на Украине "провалилась и абсолютно безуспешна".
🔴 Спутник Ближнее зарубежье в MAКС
🇷🇺 Россия стала самой "кошачьей" страной мира.
Кошки живут в 59% российских семей — это самый высокий показатель в рейтинге за 2024–2026 годы.
В топ-3 также вошли Румыния и Индонезия.
🔴 Спутник Ближнее зарубежье в MAКС
👍 В Южной Корее многие грузчики используют гидравлический подъёмник, чтобы спускать домашние вещи и мебель напрямую между грузовиком и балконом, избегая узких лестниц и лифтов.
TECH INSIDER в ТГ | в MAX
переходи⤴️
Showing the 12 most recent of 168 posts we hold for @reiki_dolgorukaya. 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.
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 2 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.
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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@reiki_dolgorukaya named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@dolgorukaya_sotis named in 3 posts, 27 August 2026 – 1 September 2026 · confirmed gone 25 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@sotisproject named in 3 posts, 27 August 2026 – 1 September 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 12 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Полина Сухова. Переход в 5 D Измерение. @Transitiontothe5D · 41,633 Telegram ranks this channel #2 of 90 here — alongside 89 others — read 28 August 2026
Эра Водолея @AgeofAquariusuncensored · 28,490 Telegram ranks this channel #4 of 95 here — alongside 94 others — read 9 September 2026
Хранители и Вершители @alphaingenium · 103,565 Telegram ranks this channel #7 of 89 here — alongside 88 others — read 15 August 2026
Ключи Мастерства @kluchimasterstva · 30,801 Telegram ranks this channel #9 of 92 here — alongside 91 others — read 6 September 2026
Hyperborea @hyperboreaX · 58,265 Telegram ranks this channel #11 of 92 here — alongside 91 others — read 22 August 2026
ПОРА ПРОСНУТЬСЯ | Прогрессивная макро психология @vselenamaster_ps · 74,737 Telegram ranks this channel #11 of 92 here — alongside 91 others — read 19 August 2026
БЕЗ «УМНЫЕ» ПРОРОЧЕСТВА @crazyprophecies · 107,060 Telegram ranks this channel #12 of 91 here — alongside 90 others — read 15 August 2026
Валерий Синельников. Школа Здоровья и Радости @SinelnikovChanel · 30,208 Telegram ranks this channel #14 of 96 here — alongside 95 others — read 7 September 2026
Злой эколог @zloyecolog · 111,510 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 14 August 2026
Елена Балацкая LIVE @balatskaja · 21,572 Telegram ranks this channel #15 of 90 here — alongside 89 others — read 23 September 2026
Влад Фридом @vladfreedomevolve · 43,420 Telegram ranks this channel #15 of 92 here — alongside 91 others — read 28 August 2026
Исцеляющие Медитации @livanda_meditation · 30,600 Telegram ranks this channel #18 of 94 here — alongside 93 others — read 9 September 2026
Ада Кондэ - личный канал - Ada Conde @Adaconde1 · 125,344 Telegram ranks this channel #19 of 93 here — alongside 92 others — read 13 August 2026
Лига Свободных Душ @novostizhizn · 24,519 Telegram ranks this channel #20 of 91 here — alongside 90 others — read 16 September 2026
Светлана Драган @svetlanadragan · 114,995 Telegram ranks this channel #22 of 96 here — alongside 95 others — read 14 August 2026
KATIA TXI @KatiaTxiLive · 103,515 Telegram ranks this channel #23 of 83 here — alongside 82 others — read 15 August 2026
Переход в ТАК. ДОМ @prostovtak · 25,528 Telegram ranks this channel #29 of 94 here — alongside 93 others — read 14 September 2026
Vadim Zeland Official @VadimZeland_Official · 43,408 Telegram ranks this channel #30 of 89 here — alongside 88 others — read 28 August 2026
Таро Юлия Петрова Official @taroyuliapetrova · 29,088 Telegram ranks this channel #35 of 79 here — alongside 78 others — read 9 September 2026
Школа Михаила Агеева @ageevschool · 53,871 Telegram ranks this channel #40 of 91 here — alongside 90 others — read 24 August 2026
Пробуждение сейчас! @GenWake · 22,262 Telegram ranks this channel #42 of 87 here — alongside 86 others — read 21 September 2026
Lee — Вибрации @lee_vibrations · 29,770 Telegram ranks this channel #43 of 89 here — alongside 88 others — read 8 September 2026
Фабулы Исаева 🎧 Нейроакустика — библиотека 🔈 @svobodnue_fabulu · 50,829 Telegram ranks this channel #45 of 73 here — alongside 72 others — read 10 September 2026
Обретение силы любви @obreteniesilylubvi · 33,317 Telegram ranks this channel #46 of 90 here — alongside 89 others — read 4 September 2026
This channel appears in 33 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Евгения Долгорукая” (@reiki_dolgorukaya), 26,359 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/reiki_dolgorukaya.
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.