Telegram RegisterThe public register of Telegram

Channel

Body Neutral Zone

@bodyneutralzone

On this record: Growth · Engagement · Posts · Citations · Cite this entry

9,179subscribers

-21 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001320761067
TypeChannel
Username@bodyneutralzone
Created20 January 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/bodyneutralzone

Growth

9,1799,2009,189.56 August 2026 — 9,200 subscribers6 August 2026 — 9,196 subscribers10 August 2026 — 9,184 subscribers13 August 2026 — 9,179 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net -21. 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 9,176–9,203 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 01:569,179-5
10 Aug 2026, 02:419,184-12
6 Aug 2026, 22:219,196-4
6 Aug 2026, 04:229,200first reading

Engagement

13 posts held, back to 6 November 2021the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
55.8%
avg views ÷ 9,179 subscribers
Avg views / post
5,120
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
3
of 13 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
WindowRolling 30 days · latest post in window 31 July 2026
Posts held13 (6 November 202131 July 2026)
Views total15,360
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 15:29 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.

Recent posts

31 Jul 2026, 18:29 UTC≈3,010 viewsread 12 August 2026

Миф "настоящие чувства никогда не заканчиваются". Чему в первую очередь учит психолога работа с людьми и их историями? На мой взгляд, главный урок - это насколько наша реальная жизнь отличается от наших же о ней представлений. Например: "все матери безусловно любят своих детей и желают им добра". "Любого человека можно изменить, если очень сильно его любить". "Постоянная строгость, запреты и наказания вырастят из

21 Jul 2026, 14:44 UTC≈5,460 viewsread 12 August 2026

Почему невозможно остановиться "улучшать" себя, если в основе этого процесса лежит дисморфофобия. Одной из задач научной психологии я вижу в её возможностях объяснять глубинные процессы, которые лежат в мотивации, поведении, и помочь людям понимать, что происходит с ними и с другими без осуждения, а с пониманием той боли, которая может за этим стоять. Дисморфофобические расстройства очень полярно стигматизированы.

19 Jul 2026, 12:38 UTC≈6,890 viewsread 12 August 2026

Прошло почти пять лет с последнего поста в этом канале и уж если возвращаться сюда с постом, то стоит поднять вопрос о главном событии, которое обсуждалось и обсуждается в body positive коммюьнити - фармокореволюция в похудении. Мы оставим за скобками медицинскую часть дискуссии, так как это вне моей компетенции, попробуем обсудить психологическую часть. Не так важно о каком препарате идёт речь, но, похоже, та сама

15 Dec 2021, 11:21 UTC≈55,500 viewsread 12 August 2026

ТОКСИЧНЫЕ СЕМЬИ: ОБЯЗАНЫ ЛИ ВЫ ОБЕСПЕЧИТЬ РЕБЕНКУ КОНТАКТ С БАБУШКОЙ? Попытка распутать вопрос, на который нет универсального ответа. Текст – Peg Streep Перевод мой. Основные идеи: - Многим взрослым трудно поддерживать связи со своими родными семьями, а наличие детей лишь усложняет проблему. - Многие взрослые борются с чувством вины из-за того, что отказывают своим детям в контактах с бабушками и дедушками, даже

6 Nov 2021, 17:07 UTC≈30,200 viewsread 12 August 2026

Спасибо Анне за интервью. Помимо сказанного в нём, мне кажется ещё раз важно подчеркнуть, что, к сожалению, тема репродуктивных рисков, к которой, несомненно, относится и тема детей с проблемами со здоровьем, продолжает оставаться в дискуссионном пространстве соцсетей на 99,9% женской темой. Женщины ругаются друг с другом, обвиняют и осуждают, потому что их очевидно захлестывают эмоции, потому что отношение к сексу,

6 Nov 2021, 15:41 UTC≈20,900 viewsread 12 August 2026

Очень душевный получился разговор, большое спасибо ведущим за приглашение! https://podcasts.apple.com/ru/podcast/%D0%BD%D0%B8%D0%BA%D0%B0%D0%BA%D0%BE%D0%B3%D0%BE-%D0%BF%D1%80%D0%B0%D0%B2%D0%B8%D0%BB%D1%8C%D0%BD%D0%BE/id1488479498?i=1000540438242

Showing the 12 most recent of 13 posts we hold for @bodyneutralzone. 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 — 66,744 of 1,169,250entries 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

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.

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

“Body Neutral Zone” (@bodyneutralzone), 9,179 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/bodyneutralzone.

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.