Telegram RegisterThe public register of Telegram

Channel

Personal Witches

@personal_witches

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

7,699subscribers

-2 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-1001416770816
TypeChannel
Username@personal_witches
CreatedBetween 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/personal_witches

Growth

7,6997,7047,701.57 August 2026 — 7,701 subscribers7 August 2026 — 7,701 subscribers11 August 2026 — 7,704 subscribers14 August 2026 — 7,699 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net -2. 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 7,698–7,705 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 05:367,699-5
11 Aug 2026, 03:247,704+3
7 Aug 2026, 11:157,701no change
7 Aug 2026, 11:107,701first reading

Engagement

10 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 12 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
10.9%
avg views ÷ 7,699 subscribers
Avg views / post
842
10 posts measured
Reaction rate
12.9%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 12 August 2026
Posts held10 (5 August 202612 August 2026)
Views total8,419
Reactions total1,090
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:13 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.

Reaction mix

1,090 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 27.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 525849839946383183130227.7%
custom 528090331970172092419918.3%
custom 539084889902182498116214.9%
custom 530781373364753424315514.2%
custom 538910282731227973012311.3%
custom 5188349909799044198635.78%
custom 5262895818909719581444.04%
custom 5262843725251384904423.85%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 10 of the 10 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 1,090reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 5 August 2026 to 12 August 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
1
across the posts below
Posts paid on
1
of 10 we hold a reading for · 10%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @personal_witches. 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 10 most recent posts we hold for this entry, published 5 August 2026 to 12 August 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.

Recent posts

12 Aug 2026, 08:32 UTC522 views76 reactionsread 12 August 2026

Posted without readable text

custom 530781373364753424345custom 525849839946383183116custom 52628437252513849047custom 51883499097990441985custom 53891028273122797303

11 Aug 2026, 13:45 UTC797 views104 reactionsread 12 August 2026
Photo

пожалуйста, поделитесь артикулами wb, ozon на черные стеллажи для книг или полки. цвет венге тоже очень подойдёт. моя домашняя библиотека перестала умещаться в привычных местах для этого отведенных. хотелось бы упростить доступ к книгам и сделать хранение удобным.

custom 528090331970172092461custom 539084889902182498124custom 530781373364753424319

11 Aug 2026, 12:01 UTC863 views40 reactionsread 12 August 2026
Photo

сегодня рекомендую вам заглянуть в кладовую с настоящими винтажными сокровищами ✨ Alerose Boutique – онлайн винтажка с одеждой в разных стилях - от более феминного винтажа с рюшечками и ярких вещей из 80-х, до магического Whimsigothic, лесного Goblincore и разных других эстетик 🖤 • Размерный ряд от XS до 3XL • Вещи из качественных тканей • Доставка по РФ и СНГ ˗ˏˋ зайти в гости ˎˊ˗ ✨

custom 525849839946383183123custom 53078137336475342436custom 53891028273122797306custom 52628958189097195813custom 52809033197017209242

11 Aug 2026, 08:41 UTC911 views114 reactionsread 12 August 2026
Photo

Photo, posted without a caption

custom 525849839946383183170custom 539084889902182498132custom 526289581890971958112

10 Aug 2026, 04:02 UTC501 views108 reactionsread 10 August 2026

ребята, почему в tg так сильно просел актив? что случилось? я не меняю тематику и стиль постов вот уже почти 15 лет, это точно не взаимосвязано. все уходят в inst, vk? или это норм тенденция и все расслабленные подписчики tg стали ещё расслабленнее?)

custom 518834990979904419858custom 530781373364753424329custom 539084889902182498121

8 Aug 2026, 17:12 UTC935 views128 reactionsread 10 August 2026
Photo

последнее время я только жаловалась на новые фильмы. исправляюсь и хвалю эту картину)

custom 525849839946383183167custom 528090331970172092433custom 539084889902182498125custom 52628437252513849043

7 Aug 2026, 07:16 UTC≈1,080 views158 reactionsread 10 August 2026
Photo

наконец-то пятница

custom 538910282731227973090custom 526284372525138490432custom 526289581890971958128custom 52809033197017209248

6 Aug 2026, 07:33 UTC≈1,230 views164 reactionsread 10 August 2026
Photo

Photo, posted without a caption

custom 525849839946383183191custom 539084889902182498136custom 538910282731227973024custom 53078137336475342438custom 52809033197017209245

6 Aug 2026, 03:37 UTC678 views65 reactionsread 8 August 2026
Forwarded from @jeanpaul0123Photo

Ребята, всем привет. Этим летом количество хвостов в кошкином доме увеличилось до 16. Нам постоянно что-то нужно: еда, наполнитель, средства обработки, лекарства, бытовая химия, средства дезинфекции помещений. Я очень рассчитываю на вашу помощь. Вы можете скинуть любой донат для ребят или купить рекламу в моих пространствах. Я буду рада любой копеечке. Сбер 2202200652861319 Анастасия Петровна А, с пометкой "кошкин до

custom 530781373364753424342custom 528090331970172092413custom 525849839946383183110

5 Aug 2026, 13:03 UTC902 views133 reactions1 Starread 8 August 2026
Photo

Нона Лиммен (Nona Limmen) родилась в 1986 году в голландском городе Бевервийк, живет в Амстердаме, но координаты миров её фотографического творчества вряд ли можно обозначить на карте нашей реальности. Сказочные персонажи, туманные ландшафты, руины, статуи, скелеты, клубы дыма... Мрачная атмосфера её пленочных фотографий завораживает, затягивает, обволакивает. Настоящие чёрные жемчужины для тех, кто ценит макабрическ

custom 528090331970172092477custom 525849839946383183125custom 539084889902182498124custom 53078137336475342436custom 52628958189097195811

Showing the 10 most recent of 10 posts we hold for @personal_witches. 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.

Citation-graph rank

Citation-graph rank — 138,286 of 1,350,102entries 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Personal Witches” (@personal_witches), 7,699 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/personal_witches.

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.