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Channel

Здоровье щитовидной железы

@thyroid_drshefova

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

5,869subscribers

-65 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001822053709
TypeChannel
Username@thyroid_drshefova
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/thyroid_drshefova

Topic

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 6 other registered channels. This entry also sits inside a group of 9 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@thyroid_drshefova/427 · this entry27 Apr 2026, 09:32 UTC@shefova_detox/199821 May 2026, 09:35 UTC1.0024 days
@thyroid_drshefova/429 · this entry23 May 2026, 06:35 UTC@shefova_detox/199925 May 2026, 05:33 UTC1.0047 hours
@shefova_detox/210516 Oct 2026, 10:05 UTC@thyroid_drshefova/495 · this entry16 Oct 2026, 16:05 UTC1.006.0 hours
@shefova_detox/210719 Oct 2026, 11:10 UTC@thyroid_drshefova/498 · this entry19 Oct 2026, 16:10 UTC1.005.0 hours
@shefova_detox/211226 Oct 2026, 08:58 UTC@thyroid_drshefova/502 · this entry26 Oct 2026, 08:59 UTC1.0072 seconds
@shefova_detox/211428 Oct 2026, 10:45 UTC@thyroid_drshefova/504 · this entry28 Oct 2026, 15:45 UTC1.005.0 hours
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
@shefova_detox16 (8/8 hand-verifiable sample passed)1.005.0 hourseven
@dr_shefova_polip14 (8/8 hand-verifiable sample passed)1.0044 hoursthis entry (10–4)
@dr_shefova_endometriosis12 (8/8 hand-verifiable sample passed)1.004 daysthis entry (9–3)
@budumamoy_drshefova9 (8/8 hand-verifiable sample passed)1.0024 hoursthis entry (7–2)
@dr_shefova8 (8/8 hand-verifiable sample passed)1.0025 hoursthis entry (5–3)
@dr_shefova_mioma7 (7/7 hand-verifiable sample passed)1.003.1 hours@dr_shefova_mioma (4–3)

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. 16 of the 17 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 27 comparable posts for this entry, running 8 February 2026 to 4 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 9 channels, the one whose matching posts we hold earliest is @dr_shefova_polip. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, last confirmed 11 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 9 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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

5,8675,9355,9017 August 2026 — 5,934 subscribers7 August 2026 — 5,934 subscribers10 August 2026 — 5,935 subscribers13 August 2026 — 5,934 subscribers16 August 2026 — 5,932 subscribers19 August 2026 — 5,928 subscribers23 August 2026 — 5,929 subscribers26 August 2026 — 5,918 subscribers28 August 2026 — 5,915 subscribers1 September 2026 — 5,918 subscribers9 September 2026 — 5,915 subscribers13 September 2026 — 5,912 subscribers17 September 2026 — 5,899 subscribers25 September 2026 — 5,894 subscribers4 October 2026 — 5,883 subscribers10 October 2026 — 5,880 subscribers14 October 2026 — 5,874 subscribers16 October 2026 — 5,876 subscribers19 October 2026 — 5,877 subscribers22 October 2026 — 5,880 subscribers25 October 2026 — 5,881 subscribers28 October 2026 — 5,875 subscribers1 November 2026 — 5,872 subscribers4 November 2026 — 5,871 subscribers7 November 2026 — 5,867 subscribers10 November 2026 — 5,869 subscribers5,8697 August 202610 November 2026
26 measurements spanning 95 days, net -65. 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 5,857–5,945 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
10 Nov 2026, 17:485,869+2
7 Nov 2026, 13:185,867-4
4 Nov 2026, 02:565,871-1
1 Nov 2026, 00:065,872-3
28 Oct 2026, 22:155,875-6
25 Oct 2026, 10:365,881+1
22 Oct 2026, 16:575,880+3
19 Oct 2026, 14:495,877+1
16 Oct 2026, 22:595,876+2
14 Oct 2026, 09:115,874-6
10 Oct 2026, 17:595,880-3
4 Oct 2026, 23:165,883-11
25 Sept 2026, 11:595,894-5
17 Sept 2026, 02:595,899-13
13 Sept 2026, 07:015,912-3
9 Sept 2026, 19:215,915-3
1 Sept 2026, 00:165,918+3
28 Aug 2026, 22:455,915-3
26 Aug 2026, 02:035,918-11
23 Aug 2026, 02:255,929first reading

Engagement

29 posts held, back to 8 February 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 10 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.29%
avg views ÷ 5,869 subscribers
Avg views / post
311
15 posts measured
Reaction rate
0.83%
reactions ÷ views · ER floor
Posts in window
15
of 29 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 7 of 15 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 4 November 2026
Posts held29 (8 February 2026 – 4 November 2026)
Views total4,659
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 15:51 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

Video runtime
1m 21s
Average length
1m 21s

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

109 reactions across 19 posts, in 2 distinct kinds. The most used accounts for 83.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍9183.5%
🔥1816.5%

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 19 of the 29 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 109 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 8 February 2026 to 4 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: 1 of 15 posts held from the last 30 days (6.67%) 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).

4 Nov 2026, 06:40 UTC105 views4 reactionsread 4 November 2026
Photo

Имбирь и корица при спазмах Для облегчения боли в первые дни цикла можно присмотреться к двум специям. В исследованиях они уменьшали боль и помогали при тошноте, а имбирь ещё и при вздутии и головной боли. ▫️ имбирь: чаще используют в капсулах, начиная с первых дней менструации ▫️ корица: схемы в исследованиях тоже были на первые 3 дня месячных ▫️ обе специи в исследованиях помогали и при обильных кровотечениях …

👍2🔥2

2 Nov 2026, 15:25 UTC206 viewsread 4 November 2026

Имбирь уменьшал боль при первичной дисменорее Дисменорея- выраженный болевой синдром внизу живота, возникающий во время менструации и снижающий качество жизни. В тройном слепом перекрёстном исследовании участвовали 384 женщины 18–26 лет. В течение первых трёх дней менструации они получали имбирь, фенхель или плацебо. Оба растительных препарата уменьшали боль, но наиболее выраженный результат показал имбирь: средн…

31 Oct 2026, 10:05 UTC193 views1 reactionsread 4 November 2026
Forwarded from @drshefovaarhiv

Posted without readable text

👍1

30 Oct 2026, 13:31 UTC283 viewsread 4 November 2026
Photo

Напоминаю, что через 2 дня мы начинаем с вами маленькими шагами идти к одной большой цели! Марафон «Женский баланс» Для тех, кто хочет наконец-то начать работать со своими женскими проблемами, но не ранее не знали как грамотно начать! Особенно если уже хотите начать работать со своими системами детоксикации! Простые, легкие шаги! Чтобы проходить марафон не надо выбирать время, отпуск, находить время от семьи..окол…

30 Oct 2026, 06:10 UTC308 views1 reactionsread 4 November 2026

Витамин D и месячные Низкий витамин D часто встречается у женщин, а в исследованиях описывают, что при его нормализации боль при менструациях уменьшалась. Оптимальный уровень около 50-70 нг/мл поддерживающая доза порядка 2000-4000 МЕ в день Через несколько месяцев от начала приема можно сдать анализ и проверит свой уровень витамина Д Примеры добавок с витамином Д РФ https://spz03.ru/catalog/detail/8259S/ по пр…

🔥1

28 Oct 2026, 15:45 UTC345 views3 reactionsread 4 November 2026

Тихий источник гормональных проблем: пластик и бытовая химия Некоторые вещества из упаковки, косметики и бытовой химии влияют на гормональную систему (эндокринные разрушители). Можно уменьшить нагрузку шагами, которые доступны почти каждой: ▫️ хранить еду и воду в стекле или нержавейке ▫️ не греть еду в пластиковых контейнерах ▫️ выбирать косметику без лишних ароматизаторов ▫️ мыть и чистить уксусом, содой, лимоном…

👍3

26 Oct 2026, 17:38 UTC371 viewsread 4 November 2026
Photo

Через неделю мы начинаем наш марафон «Женский баланс» Я вижу, что идут активные вступления♥️ Это наш второй и последний марафон «Женский баланс» в этом году! Следующий будет примерно через полгода. Успевайте вступить сейчас, чтобы не было обид как с интенсивом по эндометриозу, что не успели принять участие… Стоимость участия 1500₽/20$ https://shefova.online/p/1185d8b/ Сразу после вступления вас уже ждут 3 задания…

26 Oct 2026, 08:59 UTC375 viewsread 4 November 2026

Ужин и сон: простое правило Организм устроен так, что пищеварению ночью лучше отдыхать. Одно из самых простых правил: последний плотный приём пищи за 2-4 часа до сна. Что ещё помогает поддержать работу пищеварительной системы: ▫️ стабильное время приёмов пищи ▫️ последний приём пищи должен быть не перекусом, а полноценным ▫️ 12-14 часов перерыва между ужином и завтраком (не для всех) ⚠️ При беременности, лактац…

23 Oct 2026, 07:31 UTC450 views4 reactionsread 4 November 2026

Хашимото: с чего начать Болезнь Хашимото (аутоиммунный тиреоидит) — это хроническое аутоиммунное заболевание, при котором иммунная система ошибочно атакует щитовидную железу, постепенно снижая её способность вырабатывать гормоны. Диагноз «аутоиммунный тиреоидит» пугает, но у него есть понятный план: ▫️ исключить целиакию и дефициты (йод, витамин D) ▫️ при целиакии безглютеновая диета иногда сильно меняет картину ▫️…

👍4

22 Oct 2026, 07:10 UTC370 viewsread 4 November 2026

Лечить или наблюдать? Диагноз «гипотиреоз» или «тиреотоксикоз» сначала нужно подтвердить, а гормоны не назначают «на всякий случай». Гипердиагностика и избыточное лечение встречаются почти так же часто, как пропущенный диагноз. Что важно знать: ▫️ при лёгких отклонениях иногда помогают изменения образа жизни, их оценивают за 6-12 недель ▫️ если симптомы выраженные или показатели сильно вне нормы, обычно нужна зам…

21 Oct 2026, 08:55 UTC360 viewsread 4 November 2026
Photo

Когда вступаете в чат закрытого канала в телеграм -заходите в дополнительную информацию. Там проходит марафон! Идет 3/30 дней Мы пока на этапе исключения факторов. Но участницы уже получили список добавок, которые мы начнем вводить со 2 ноября. Так что если вступить сейчас, то вы успеваете! А когда вы заходите в сам закрытый канал, то у вас сразу открывается доступ ко всем темам, которые были ранее! И еще: с 23.…

19 Oct 2026, 16:10 UTC362 views1 reactionsread 4 November 2026

Сухой воздух и вирусы 💧 В отопительный сезон воздух в квартире часто слишком сухой. Это ухудшает работу защиты слизистых, и вирусам проще удерживаться и распространяться. Что можно сделать: ▫️ следить за влажностью в комнате, ориентир выше 40% ▫️ поставить увлажнитель там, где проводите больше времени ▫️ проветривать ▫️ пить достаточно воды и высыпаться Простая бытовая мелочь, которая реально снижает риск заболеть.

👍1

Showing the 12 most recent of 29 posts we hold for @thyroid_drshefova. 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

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.

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.

🌱🥑 Детокс - канал DR.SHEFOVA
@shefova_detox · 31,137
Telegram ranks this channel #3 of 71 here — alongside 70 others — read 6 September 2026
Dr.Shefova / Доктор Шефова
@dr_shefova · 69,236
Telegram ranks this channel #5 of 88 here — alongside 87 others — read 20 August 2026
Эндометриоз/Аденомиоз/Эндометриоидные кисты dr.shefova
@dr_shefova_endometriosis · 19,497
Telegram ranks this channel #9 of 66 here — alongside 65 others — read 1 October 2026
Доктор Виктория Орлинская
@cardiodokstories · 162,333
Telegram ranks this channel #27 of 88 here — alongside 87 others — read 12 August 2026
Doctor Razumnaya
@doctor_razumnaya · 49,102
Telegram ranks this channel #48 of 90 here — alongside 89 others — read 26 August 2026
🦋 Библиотека АИТ
@ms_hashimoto · 19,523
Telegram ranks this channel #56 of 91 here — alongside 90 others — read 1 October 2026
Эндокринолог ❤️ Ольга Павлова 💊 Диабет
@dia_dietolog_olga_pavlova · 58,564
Telegram ranks this channel #75 of 91 here — alongside 90 others — read 22 August 2026

This channel appears in 7 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Здоровье щитовидной железы” (@thyroid_drshefova), 5,869 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/thyroid_drshefova.

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.