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Channel

Нумерология с Ириной Чайкой

@numero_chayka

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

13,627subscribers

-368 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002026714993
TypeChannel
Username@numero_chayka
DescriptionКак использовать силу чисел для саморазвития, раскрытия талантов и улучшения всех сфер жизни✨ Ведическая нумерология простыми словами🤝
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/numero_chayka

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 69% 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 1 other registered channel. 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@astro_chayka/760211 Aug 2026, 10:08 UTC@numero_chayka/1782 · this entry11 Aug 2026, 10:09 UTC1.00under a minute
@astro_chayka/765125 Aug 2026, 10:08 UTC@numero_chayka/1805 · this entry25 Aug 2026, 10:09 UTC1.0072 seconds
@astro_chayka/765325 Aug 2026, 11:00 UTC@numero_chayka/1806 · this entry25 Aug 2026, 11:02 UTC1.002 minutes
@astro_chayka/781228 Oct 2026, 07:01 UTC@numero_chayka/1876 · this entry28 Oct 2026, 07:03 UTC1.002 minutes
@astro_chayka/781328 Oct 2026, 10:12 UTC@numero_chayka/1877 · this entry28 Oct 2026, 10:13 UTC1.00under a minute
@astro_chayka/781528 Oct 2026, 10:36 UTC@numero_chayka/1879 · this entry28 Oct 2026, 10:36 UTC1.00under a minute
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
ChannelMatching postsText overlapTypical gapPublished first
@astro_chayka33 (8/8 hand-verifiable sample passed)1.0072 seconds@astro_chayka (30–3)

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. 27 of the 30 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 73 comparable posts for this entry, running 30 July 2026 to 11 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 @astro_chayka. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 12 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.

Growth

13,62713,99513,8117 August 2026 — 13,995 subscribers7 August 2026 — 13,995 subscribers9 August 2026 — 13,991 subscribers11 August 2026 — 13,983 subscribers12 August 2026 — 13,971 subscribers13 August 2026 — 13,967 subscribers14 August 2026 — 13,963 subscribers16 August 2026 — 13,955 subscribers17 August 2026 — 13,950 subscribers18 August 2026 — 13,944 subscribers19 August 2026 — 13,938 subscribers20 August 2026 — 13,933 subscribers21 August 2026 — 13,930 subscribers23 August 2026 — 13,924 subscribers24 August 2026 — 13,915 subscribers25 August 2026 — 13,900 subscribers27 August 2026 — 13,896 subscribers27 August 2026 — 13,890 subscribers29 August 2026 — 13,884 subscribers29 August 2026 — 13,880 subscribers31 August 2026 — 13,877 subscribers1 September 2026 — 13,875 subscribers2 September 2026 — 13,872 subscribers3 September 2026 — 13,866 subscribers5 September 2026 — 13,862 subscribers8 September 2026 — 13,850 subscribers11 September 2026 — 13,840 subscribers13 September 2026 — 13,833 subscribers14 September 2026 — 13,830 subscribers16 September 2026 — 13,825 subscribers19 September 2026 — 13,818 subscribers25 September 2026 — 13,802 subscribers4 October 2026 — 13,773 subscribers8 October 2026 — 13,749 subscribers13 October 2026 — 13,728 subscribers14 October 2026 — 13,716 subscribers15 October 2026 — 13,708 subscribers16 October 2026 — 13,709 subscribers17 October 2026 — 13,710 subscribers18 October 2026 — 13,709 subscribers19 October 2026 — 13,704 subscribers20 October 2026 — 13,703 subscribers21 October 2026 — 13,702 subscribers22 October 2026 — 13,700 subscribers23 October 2026 — 13,703 subscribers26 October 2026 — 13,696 subscribers27 October 2026 — 13,700 subscribers28 October 2026 — 13,696 subscribers29 October 2026 — 13,692 subscribers30 October 2026 — 13,691 subscribers31 October 2026 — 13,684 subscribers2 November 2026 — 13,685 subscribers3 November 2026 — 13,683 subscribers4 November 2026 — 13,681 subscribers5 November 2026 — 13,680 subscribers6 November 2026 — 13,677 subscribers7 November 2026 — 13,670 subscribers9 November 2026 — 13,668 subscribers11 November 2026 — 13,645 subscribers13 November 2026 — 13,627 subscribers7 August 202613 November 2026
60 measurements spanning 98 days, net -368. 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 13,572–14,050 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
13 Nov 2026, 17:5613,627-18
11 Nov 2026, 00:4713,645-23
9 Nov 2026, 08:0013,668-2
7 Nov 2026, 23:5913,670-7
6 Nov 2026, 23:0913,677-3
5 Nov 2026, 21:0713,680-1
4 Nov 2026, 19:3013,681-2
3 Nov 2026, 16:1813,683-2
2 Nov 2026, 16:3513,685+1
31 Oct 2026, 19:5713,684-7
30 Oct 2026, 19:4913,691-1
29 Oct 2026, 21:5613,692-4
28 Oct 2026, 18:1813,696-4
27 Oct 2026, 15:0713,700+4
26 Oct 2026, 15:2813,696-7
23 Oct 2026, 15:5413,703+3
22 Oct 2026, 19:1113,700-2
21 Oct 2026, 18:0913,702-1
20 Oct 2026, 11:3613,703-1
19 Oct 2026, 12:3713,704first reading

Engagement

91 posts held, back to 30 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 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.14%
avg views ÷ 13,627 subscribers
Avg views / post
428
23 posts measured
Reaction rate
1.62%
reactions ÷ views · ER floor
Posts in window
23
of 91 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 16 of 23 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held91 (30 July 2026 – 11 November 2026)
Views total9,844
Reactions total114
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 08:38 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
985
Videos
52
Links
320

Lifetime counters from Telegram’s own channel header, read 15 November 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.

Video runtime
5m 08s
Average length
1m 17s

Measured directly from 4 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

1,194 reactions across 73 posts, in 14 distinct kinds. The most used accounts for 80.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤95680.1%
🔥937.79%
🙏625.19%
👍322.68%
❤‍🔥181.51%
🥰141.17%
🕊60.503%
👌40.335%
😍30.251%
🤗20.168%
✍10.084%
👏10.084%
🤔10.084%
🦄10.084%

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 74 of the 91 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 1,194 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 91 most recent posts we hold, published 30 July 2026 to 11 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: 6 of 23 posts held from the last 30 days (26.1%) 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).

11 Nov 2026, 11:04 UTC322 viewsread 15 November 2026
Photo

🔤🔤🔤🔤 🔤🔤🔤🔤🔤🔤⭐️ Ирина Чайка уже показывает денежные знаки на ладонях. Присоединяйтесь к эфиру «Есть ли у вас знаки миллионера?» прямо сейчас. Заходите скорее👇 https://vedantica.getcourse.ru/web/millioner1111

11 Nov 2026, 10:44 UTC311 views4 reactionsread 15 November 2026
Photo

Через 15 минут мы начнём искать шесть денежных знаков на ладонях💰 Будем смотреть не только на линии, но и на то, как они сочетаются: что связывают с устойчивым заработком своим трудом, что — с умением вести дело, а что — с идеями, которые человек стремится воплотить. Подготовьте фотографии обеих рук, хорошее освещение и лист для заметок. Выберите один вопрос о деньгах, который сейчас для вас особенно важен. В конце…

😍2🕊1🤗1

11 Nov 2026, 10:09 UTC198 views2 reactionsread 15 November 2026
Video message

Video message, posted without a caption

❤2

11 Nov 2026, 10:09 UTC231 views3 reactionsread 15 November 2026

А вдруг на вашей ладони есть знак миллионера, а вы об этом даже не знаете?😳 Дорогие мои, сегодня в 14:00 мск встречаемся на практикуме по хиромантии «Есть ли у вас знаки миллионера? Что ладонь расскажет о деньгах?»💰 Сегодня мы будем искать на ваших ладонях: — Знаки миллионера и денежного потенциала. — Линии достатка и финансовых возможностей. — Необычные символы, которые в хиромантии связывают с богатством и успех…

❤3

11 Nov 2026, 07:24 UTC260 views3 reactionsread 15 November 2026
Photo

Есть ли на вашей ладони знаки миллионера? Вы когда-нибудь задумывались, почему одним людям деньги приходят через собственное дело, другим — через знания, а третьим приходится долго искать свой путь? Сегодня в 14:00 мск приглашаю вас на второй день практикума «Есть ли у вас знаки миллионера? Что ладонь расскажет о деньгах?». Вместе найдём шесть признаков, которые в хиромантии связывают с достатком: зерно пшеницы, ч…

👍3

11 Nov 2026, 04:05 UTC329 views17 reactionsread 15 November 2026
Video

11.11 - особый день по нумерологии! Мастер число, не пропустите!

❤16🔥1

10 Nov 2026, 11:00 UTC371 viewsread 15 November 2026

😂👍👍❤️👌😅😊😊😍😘 Ирина Чайка уже в эфире «Ведьма ли вы? Тайны судьбы на ладони». Ищем тайные знаки на ладони 🔮 Сегодня будем искать мистический крест, квадрат учителя, печать целителя, кольца мага и другие знаки, которые говорят о необычных способностях. Будем практиковаться на ваших руках. Присоединяйтесь сейчас — возьмите свои руки и приготовьтесь удивляться знакомым линиям🤩👇 https://vedantica.getcourse.ru/web/vedma1

10 Nov 2026, 10:26 UTC340 viewsread 15 November 2026

А вы знаете, какие тайные способности скрыты на ваших ладонях? Дорогие мои друзья, уже совсем скоро мы с вами встретимся на практикуме «Ведьма ли вы? Тайны судьбы на ладони». И я приготовила для вас кое-что особенное! Сегодня мы будем рассматривать ваши ручки и искать 10 сильных знаков, которые в хиромантии связывают с необычными способностями: — склонностью к эзотерике и духовным знаниям; — даром целительства; — …

10 Nov 2026, 10:26 UTC251 views2 reactionsread 15 November 2026
Video message

Video message, posted without a caption

🔥2

10 Nov 2026, 07:14 UTC345 viewsread 15 November 2026
Photo

Есть ли у вас магические способности? 🔮Ответ может быть на вашей ладони А вы когда-нибудь всматривались в линии на своей ладони и думали: почему у одного человека они складываются в крест, а у другого — в необычный квадрат? В традиции хиромантии такие рисунки связывают с интуицией, способностью помогать людям и передавать знания. Сегодня в 14:00 мск приглашаю вас на первый день практикума по хиромантии «Ведьма ли в…

8 Nov 2026, 11:50 UTC459 views31 reactionsread 15 November 2026
Video

Про божественный смысл числа 3

❤19🔥6🕊5🦄1

5 Nov 2026, 17:36 UTC649 views5 reactionsread 15 November 2026
Photo

Почему астрологи так любят хиромантию? Потому что в индийской хиромантии есть такие любимые планеты и стихии. И таким образом появляется возможность сопоставлять символику карты с признаками на ладони, что помогает в некоторых местах понять свои планеты и соответвенно судьбу глубже. Я всегда соединяла астрологию и хиромантию. Мне интересно смотреть, как одна тема раскрывается в обеих системах. Возьмём Юпитер. В астр…

❤5

Showing the 12 most recent of 91 posts we hold for @numero_chayka. 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.

Forward network

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

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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“Нумерология с Ириной Чайкой” (@numero_chayka), 13,627 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/numero_chayka.

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.