Photo, posted without a caption

Channel
Отзывы Подгорнова Ольга ✨Проводник.Нумеролог
@olga11otz
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
1subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002259405198 |
|---|---|
| Type | Channel |
| Username | @olga11otz |
| Description | Здесь вы увидите отзывы о моих нумерологических консультациях по методу ТМС, чтении Хроник Акаши и другие 🫶🏻 |
| Created | Between 1 October 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/olga11otz |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 06:31 | 1 | no change |
| 9 Aug 2026, 03:47 | 1 | first reading |
Engagement
20 posts held, back to 19 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 800.0%
- avg views ÷ 1 subscribers
- Avg views / post
- 8.0
- 20 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 20
- of 20 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 20 (19 July 2026 – 12 August 2026) |
| Views total | 160 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 06:31 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
- Photos
- 27
- Videos
- 1
Lifetime counters from Telegram’s own channel header, read 15 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.
Recent posts
Photo, posted without a caption
ООО, Олечка благодарю🩷🩷🩷🩷🩷 Супер, как всё верно! Поставила цель- уйти с найма! Интересно с Вами. Душевно и тепло❤️😍💓
Photo, posted without a caption
Классно! Значит мы чем-то похожи с вашей дочерью 😍 Даю обратную связь: действительно, всю жизнь в найме, нормально себя чувствовала, но в последнее время чувствую что уже не хочу возвращаться после декрета в найм. Очень интересно, как перекликается астрология и ваш метод! И классно что тоже есть показатели на занятие астрологией💫 Это мое любимое дело! Благодарю вас за разбор🙏
Олечка, благодарю тебя от души и за чтение Хроник Акаши, и за разбор моей теневой матрицы судьбы! ❤️ Всё, что ты сказала, каждое твоё слово было просто прямое попадание в самую точку, каждое твоё слово было абсолютно про меня! Было такое ощущение, что ты меня знаешь уже давно, настолько точно ты описала меня и события в моей жизни, я до сих пор под впечатлением! Благодаря тебе я по новому посмотрела на себя и свои сп…
Вчера делала разбор для прекрасной девушки ❤️ А в субботу читала для нее Хроники Акаши ! И всегда очень приятно получать обратную связь ❤️ Отзыв ниже о разборе 5 главных значений в матрице ТМС по дате рождения и о чтении Хроник Акаши. Благодарю за доверие ❤️ #отзыв #нумерология #хроникиакаши #5885
Олечка, просто даже добавить нечего... Простооо 1000000% про меня. Я хочу движа, перемещения, везде ездить, что-то смотреть, изучать... Но не сидеть в офисе каждый день с 8 до 5, это меня удручает прям и забирает всю мою энергию... Ну ничего, мне надо чуть чуть там побыть и я со всем своим сердцем, с необычайным счастьем напишу заявление об увольнении 😅
Оля, благодарю за разбор Матрицы моего сына. Он действительно упрямый, про тягу к знанию - посмотрим, надеюсь, что так и будет. Благодарю за подсказки касаемо подсказок его будущих профессий. По поводу движения, учту, велосипед и самокат у него есть😊 спасибо за твои подсказки, буду ими пользоваться🤗❤❤ а также благодарю за поддержку и советы🙏🙏🙏
Благодарю Ольгу за разбор! Подсветила те моменты , которые объяснили некоторые моменты в моей жизни, в частности, отношения с наймом и внутреннее стремление к свободе. А также подтвердила то, что чувствовалось сердцем, но откладывалось. 💖
Оленька, я хочу поблагодарить тебя, что ты запустила такой важный и глубокий марафон Благодарностей ❤️🔥❤️🔥❤️🔥 Это действительно очень важно, благодаря ему, я стала больше замечать мелочей, за которые и не грех поблагодарить, а раньше это мне казалось обыденностью. 😊 Я благодарю пространство, Творца, Вселенную, что наши души встретились, мы подружились и теперь взаимодействуем, поддерживаем и помогаем друг другу.…
Олечка, благодарю за Марафон благодарности🙏❤❤❤ он научил меня замечать, фиксировать и благодарить каждый день всех, кто хоть как - то делал меня хоть чуточку, а было, что и очень, счастливой. Конечно, я научилась благодарить себя, Высшие Силы, моих Хранителей, сына, маму, подруг, учителей и в целом саму жизнь за те подарки, которая она преподносит, если их замечать❤❤❤🙏🙏🙏 Я буду продолжать писать ежедневно благодарнос…
Showing the 12 most recent of 20 posts we hold for @olga11otz. 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 — 923,205 of 1,481,217entries 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.
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.
“Отзывы Подгорнова Ольга ✨Проводник.Нумеролог” (@olga11otz), 1 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/olga11otz.
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.