Channel
@Pretty_Widows
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
38subscribers
+0 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003742986461 |
|---|---|
| Type | Channel |
| Username | @Pretty_Widows |
| Created | 24 May 2026 — measured — dated from the channel’s first post |
| First recorded | 13 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/Pretty_Widows |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 16:16 | 38 | no change |
| 13 Aug 2026, 09:03 | 38 | first reading |
15 posts held, back to 24 May 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 14 June 2026. An engagement rate over an empty window would be a number about nothing.
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.
158 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 17.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5197435006875640586 | 28 | 17.7% | |
| custom 5445071224751268378 | 21 | 13.3% | |
| custom 5445239995491164162 | 21 | 13.3% | |
| custom 5319122004580773272 | 20 | 12.7% | |
| custom 5197279434570237711 | 18 | 11.4% | |
| custom 5197279803937425916 | 17 | 10.8% | |
| custom 5445005765154709279 | 17 | 10.8% | |
| custom 5321498001963756389 | 16 | 10.1% |
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 14 of the 15 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 158reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 24 May 2026 to 14 June 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.
🕷ᥱᥕ • 🕷iɗᥱ᧐!! [💘] 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 Fr᧐ⲙ: Tiffᥲᥒy Iɗ: ᴛrᥱᥒɗ(?) ссылка на тт 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩
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🕷ᥱᥕ • 🕷iɗᥱ᧐!! [🤩] 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 Fr᧐ⲙ: Tiffᥲᥒy Iɗ: ᴛrᥱᥒɗ(?) ссылка на тт 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩
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Signed ꪜꪎꪶꫀꪀꫂꪱꪀꫀᵒʷᶰ ᶫᵛᶰ #pretty_widows #Ⳑⲓⳳⲉⳑⲩⲛ
🕷ᥱᥕ • 🕷iɗᥱ᧐!! [🤩] 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 Fr᧐ⲙ: Tiffᥲᥒy Iɗ: ᴛrᥱᥒɗ(?) ссылка на тт 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩
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🕷ᥱᥕ • 🕷iɗᥱ᧐!! [🎸] 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 Fr᧐ⲙ: Tiffᥲᥒy Iɗ: ᴛrᥱᥒɗ(?) 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩
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Тиффани в поиске союзов(0+)!! 🪟 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 • — Пдп: 1:1-4:4 • — Папки: рп/вз 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 Правила
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Активных нью нам пожалуйста!!! флуд по клубу романтики/Seven Hearts Stories!! У нас много свободных ролей, небольшая норма. Так же ищем союзы 🕸🕸🕸🕸🕸🕸🕸🕸🕸🕸🕸🕸 🕷чень ждем такие роли как: клуб романтики: • Тай • Надин • Эвтида • Голод • Лада • Дмитрий • Давид • Люцифер • Сэт • Деклан • Надин севен харт стори: Фран Кассандра Фантом Филан Рахиль Лигеон 🕸🕸🕸🕸🕸🕸🕸🕸🕸🕸🕸🕸 • — Наш инфо: @pretty_widows • — Связь с владельцем
custom 51974350068756405862custom 54450712247512683782custom 54452399954911641622custom 51972794345702377111custom 51972798039374259161custom 53191220045807732721custom 53214980019637563891custom 54450057651547092791
🕷🕷🕷🕷🕷🕷 🤍🤍🤍🤍🤍🤍🤍🤍 𐋏ᥱᥴⲙ᧐ᴛρя нᥲ дρужᥱᥴκую ᥲᴛⲙ᧐ᥴɸᥱρу, ʙ ᴦρуᥰᥰᥱ ᥙ κᥲнᥲ᧘ᥱ ʙᥴᥱᴦдᥲ д᧐᧘жᥱн цᥲρᥙᴛь ᥰ᧐ρяд᧐κ. 🤍🤍🤍🤍🤍🤍🤍🤍 🪷 1 В᧘ᥲдᥱ᧘ᥱц ( @Ilovevalyu ) — 𐌺ᥲᥙн. 𐌏н ᧐ᴛʙᥱчᥲᥱᴛ ᤋᥲ чᥲᴛ ᥙ ᥴ᧘ᥱдᥙᴛ ᤋᥲ ᴛᥱⲙ, чᴛ᧐ ᴛᥲⲙ ᥰρ᧐ᥙᥴ᥊᧐дᥙᴛ. 𐌿ρ᧐ʙ᧐дᥙᴛ чᥙᥴᴛκу. Яʙ᧘яᥱᴛᥴя ᴦ᧘ᥲʙныⲙ ᧘ᥙц᧐ⲙ ʙыδ᧐ρᥲ нᥲκᥲᤋᥲнᥙя, ʙыдᥲчᴛᥙ ʙᥲρнᥲ/ᥰρᥱдᥲ/δᥲнᥲ. В᧘ᥙʙᥲᥱᴛ нью, ᥴ᧐ᥴᴛᥲʙ᧘яᥱᴛ ᥲκᴛᥙʙ ᥰ᧐ᥴᴛы ᥙ ᥰρ᧐чᥱᥱ. В ᧐δщᥱⲙ ᥱᴦ᧐ ᤋᥲдᥲчᥲ — чᥲᴛ ɸ᧘удᥲ. 🪷 2 В᧘ᥲдᥱ᧘ᥱц ( @kw_h3 )— Тᥙɸɸᥲнᥙ. 𐌿ρᥲʙᥲя ρуκᥲ 𐌺ᥲᥙнᥲ, ᤋᥲнᥙⲙᥲ…
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🕷🕷🕷🕷 •🕷🕷🕷🕷 🕸🕸🕸🕸🕸🕸🕸🕸🕸🕸🕸 🤤 ☕ 🍩 🕸🕸🕸🕸🕸🕸🕸🕸🕸🕸🕸 Рᥱᥴᴛ — ᥰρ᧐ⲙᥱжуᴛ᧐κ ʙρᥱⲙᥱнᥙ, κ᧐ᴛ᧐ρыᥔ ʙы ʙыдᥱ᧘яᥱᴛᥱ нᥲ ᧐ᴛды᥊. Կᴛ᧐δы ᥱᴦ᧐ ʙᤋяᴛь, нужн᧐ ᧐δρᥲᴛᥙᴛьᥴя κ ᧐дн᧐ⲙу ᥙᤋ ʙ᧘ᥲдᥱ᧘ьцᥱʙ @Ilovevalyu / @kw_h3 Рᥱᥴᴛ ⲙ᧐жн᧐ ʙᤋяᴛь ⲙᥲκᥴᥙⲙуⲙ нᥲ дʙᥱ нᥱдᥱ᧘ᥙ, н᧐ дᥲжᥱ ʙ ᴛᥱчᥱнᥙᥙ ʙᥲɯᥱᴦ᧐ ρᥱᥴᴛᥲ ʙы нᥱ д᧐᧘жны ᥰ᧐яʙ᧘яᴛьᥴя ʙ ᥴᥰᥙᥴκᥲ᥊ нᥱᥲκᴛᥙʙᥲ δ᧐᧘ᥱᥱ чᥱⲙ 3 дня(нᥱᥲκᴛᥙʙ 3 дня - ᥲʙᴛ᧐ⲙᥲᴛᥙчᥱᥴκᥙᥔ δᥲн) Внᥙⲙᥲнᥙᥱ, ρᥱᥴᴛ δᥱρᥱᴛᥴя нᥱ д᧘я "᧐ᥔ чᴛ᧐-ᴛ᧐ ⲙнᥱ ᧘ᥱнь ᥰᥙᥴᥲᴛь ʙ ᴦρуᥰᥰу, ʙ᧐ᤋьⲙу ᧐ᴛ…
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🕷🕷🕷🕷🕷🕷 🤍🤍🤍🤍🤍🤍🤍🤍 ⭐️⭐️⭐️ ᥴ 24 ⲙᥲя 2026 ᴦ᧐дᥲ ⲙы δᥱρᥱⲙ ᥰᥲᴛᥱнᴛ нᥲ нᥲᤋʙᥲнᥙᥱ "Prᥱᴛᴛy Wiɗ᧐ᥕs", κ᧐ᴛ᧐ρ᧐ᥱ ᧐ᤋнᥲчᥲᥱᴛ "𐌑ᥙ᧘ᥱньκᥙᥱ Вд᧐ʙы". 𐋏ᥲᤋʙᥲнᥙᥱ ᥰρᥙдуⲙᥲ᧘ᥲ нᥲɯᥲ 𐌡ᥙρᥱн, ᥰ᧐ ϶ᴛ᧐ⲙу, ʙ ᥴ᧘учᥲᥱ ᥰ᧘ᥲᴦᥙᥲᴛᥲ δудᥱⲙ ʙынуждᥱны ᥰ᧐ᥰρ᧐ᥴᥙᴛь ʙᥲᥴ ᥴⲙᥱнᥙᴛь нᥲᤋʙᥲнᥙᥱ, ᥱᥴ᧘ᥙ ᧐ᴛκᥲжᥱᴛᥱ - ᥰρᥙдᥱᴛᥴя ʙыᥴᴛᥲʙᥙᴛь ϶ᴛ᧐ нᥲ ᥰуδ᧘ᥙκу ⭐️⭐️⭐️ 🤍🤍🤍🤍🤍🤍🤍🤍
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🕷🕷🕷🕷🕷🕷 🤍🤍🤍🤍🤍🤍🤍🤍 ⭐️⭐️⭐️ 😻 𐌑ы ρᥲды ᥴ᧐᧐δщᥙᴛь чᴛ᧐ у нᥲᥴ ᧐ᴛκρыᴛ нᥲδ᧐ρ ʙ ᥴ᧐юᤋнᥙκᥙ!! 🧐 𐌿ρ᧐ᤋьδᥲ ᥴнᥲчᥲ᧘ᥲ ᧐ᤋнᥲκ᧐ⲙᥙᴛьᥴя ᥴ ᥰρᥲʙᥙ᧘ᥲⲙᥙ, ᤋᥲᴛᥱⲙ ᥰᥙᥴᥲᴛь д᧘я ᤋᥲκ᧘ючᥱнᥙя — @kw_h3 𐌿᧐ᥰρ᧐ɯу ʙнᥙⲙᥲнᥙя ᥙ ᴛᥱρᥰᥱнᥙя ʙ᧐ ʙρᥱⲙя ᥰρ᧐чᴛᥱнᥙя!! 😳 Зᥲκ᧘ючᥱнᥙᥱ ᥴ᧐юᤋᥲ ᥴ нᥲⲙᥙ: • 𐌿ᥲᥰκᥲ: ρᥰ/ρᥰ+ᥲκᴛᥙʙ • 𐌿дᥰ(0+): 1:1 — 4:4 • У 𐋏А𑀝 И𐌑ЕЕТ𑀝Я ԿАТ 𑀝𐌏ЮЗ𐌏В (ʙ нᥱᴦ᧐ ʙᥴᴛуᥰᥲюᴛ ᴛ᧐᧘ьκ᧐ ᥰρᥙ ᤋᥲκ᧘ючᥱнᥙᥙ ᥰᥲᥰκᥙ ρᥰ/ρᥰ+ᥲκᴛᥙʙ)!!!!!! В ᧘ᥙчныᥱ ᥴ᧐᧐δщᥱнᥙя ᥰ᧐ᥴᴛы ᥰρᥙнᥙⲙᥲю ᴛ᧐᧘ьκ᧐ ᥱᥴ᧘ᥙ ϶ᴛ᧐ н᧐…
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🕷🕷🕷🕷 • 🕷🕷🕷🕷🕷 🤍🤍🤍🤍🤍🤍🤍🤍 ᤋдᥱᥴь ᥰρ᧐ᥰᥙᥴᥲны ᧘ᥙɯь ᧐ᥴн᧐ʙныᥱ ᥰρᥲʙᥙ᧘ᥲ. ʙнᥱдρяяᥴь ʙ κᥲжд᧐ᥱ ᥰρᥲʙᥙ᧘᧐ ⲙ᧐жн᧐ нᥲᥔᴛᥙ ⲙн᧐ᴦ᧐ нюᥲнᥴ᧐ʙ, н᧐ ᥰρ᧐ᥰᥙᥴᥲᴛь ʙᥴᥱ᥊ ᥙ᥊ δᥲнᥲ᧘ьн᧐ нᥱʙ᧐ᤋⲙ᧐жн᧐. Вᥴᴛуᥰᥲя ʙ чᥲᴛ ʙы ᥰρᥱждᥱ ʙᥴᥱᴦ᧐ ᥴ᧐ᴦ᧘ᥲɯᥲᥱᴛᥱᥴь ᥴ ᥰρᥲʙᥙ᧘ᥲⲙᥙ, ᧐ᥴ᧐ᤋнᥲʙᥲя ʙᥴᥱ нюᥲнᥴы ᥙ нᥱᥴᥱᴛᥱ ᧐ᴛʙᥱᴛᥴᴛʙᥱнн᧐ᥴᴛь ᤋᥲ ᥙ᥊ нᥲρуɯᥱнᥙᥱ. 🤍🤍🤍🤍🤍🤍🤍🤍 ⊹ ࣪ #𑀝𑀉EA𐌽I𐌽Ᏽ н᧐ρⲙᥲ ᥴ᧐᧐δщᥱнᥙᥔ ʙ нᥱдᥱ᧘ю — 100 ᥴ᧐᧐δщᥱнᥙᥔ ᧐ᴛ чᥱ᧘᧐ʙᥱκᥲ. 𐋏᧐ρⲙᥲ ᥰρ᧐ʙᥱρяᥱᴛᥴя ʙ уд᧐δныᥔ д᧘я ʙ᧘ᥲдᥱ᧘ьцᥲ/ᥲдⲙᥙнᥙᥴᴛρᥲцᥙᥙ ʙρᥱⲙя …
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🕷🕷🕷🕷🕷 • 🕷🕷🕷🕷 (!!!КЛУБ РОМАНТИКИ!!!!!) 🤩🤩🤩🤩🤩🤩🤩🤩⭐️⭐️⭐️ владелец: {🎁} админ по чату: {🎁} админ по видео: {🍫} админ по нью: {🕯} ⭐️⭐️⭐️🤩🤩🤩🤩🤩🤩🤩🤩 🤍екрет небес (все части) • — Каин {🎁} • — Мими • — Малек • — Лэйн • — Ян • — Микаэль • — Голод • — Война • — Чума • — Вики 🤩одяная лилия • — Тиффани{🎁} • — Эмма • — Деклан 🤩ришествие номер 3 • — Райна • — Ксандр 🤩 поглотит нас морок • — Сирин • — Лада • — Тата 🤩еснь о к…
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Showing the 12 most recent of 15 posts we hold for @Pretty_Widows. 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 — 1,410,906 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.
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.
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.
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.
“ִ ۫ 𓍢༘⋆ 𝙋𝙧𝙚𝙩𝙩𝙮 𝙒𝙞𝙙𝙤𝙬𝙨 info ֺּׅ𓏽⑅” (@Pretty_Widows), 38 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Pretty_Widows.
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.