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Channel

✷ ´𝑷𝒊𝒗𝒑𝒊 ´ . ꕀᰍ!!

@fresylove

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry

53subscribers

+0 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003438757484
TypeChannel
Username@fresylove
DescriptionЯ отрицательно отношусь к ЛГБТ (экстремистской организацией на территории РФ) и не поддерживаю его.
CreatedBetween 1 November 2025 and 23 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live10 August 2026
Measurements held2
On Telegramt.me/fresylove

Growth

539 Aug 2026, 13:32 — 53 subscribers10 Aug 2026, 09:16 — 53 subscribers9 Aug 2026, 13:3210 Aug 2026, 09:16
2 measurements taken within a single day. 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 52–54 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 09:1653no change
9 Aug 2026, 13:3253first reading

Engagement

17 posts held, back to 23 November 2025the 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.

ERR · 30 days
74.8%
avg views ÷ 53 subscribers
Avg views / post
39.7
3 posts measured
Reaction rate
16.8%
reactions ÷ views · ER floor
Posts in window
3
of 17 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 10 August 2026
Posts held17 (23 November 202510 August 2026)
Views total119
Reactions total20
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 09:16 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
18
Links
1

Lifetime counters from Telegram’s own channel header, read 10 August 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.

Reaction mix

410 reactions across 17 posts, in 24 distinct kinds. The most used accounts for 18.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 54091103182803771217518.3%
custom 54116107709306995406916.8%
custom 54114487218146181155513.4%
custom 5408929160854801077317.56%
custom 5397695055416819663204.88%
custom 5411097251755885870204.88%
custom 5456112421733171111174.15%
174.15%
🍓133.17%
custom 5291850413950133604122.93%
custom 5213091013073076246112.68%
💋102.44%
custom 540217913012286221792.20%
custom 544488530420698665292.20%
custom 522470780009711959581.95%
custom 544497095014983229081.95%
custom 520208250938224966851.22%
custom 535745789052743386051.22%
custom 522436038878248744340.976%
custom 544957224310329778040.976%
4 further kinds81.95%

Custom emoji. 17 of the rows above are 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 17 of the 17 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 410reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 23 November 2025 to 10 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
5
across the posts below
Posts paid on
1
of 17 we hold a reading for · 6%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @fresylove. 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 17 most recent posts we hold for this entry, published 23 November 2025 to 10 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

10 Aug 2026, 08:03 UTC12 views7 reactionsread 10 August 2026

🤓⌨🤩: признаюсь честно, у меня нет идей... Я пытаюсь сделать баннер с Суа, НО ВСЁ МИМО, фффф. Заказы и то легче делать. Постараюсь к др сделать хоть, что-то, но лучше не верьте этой дуре.😭 И не бейте, ну пж #щп

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10 Aug 2026, 08:00 UTC11 views7 reactionsread 10 August 2026
Forwarded from @shushumyPhoto

ㅤ 𝜜SS͟✶C𝛊’𝐚___𝚻I𝖮N ⑉ 𝐈o. 0𝟴 ﹫𝜷ы, 𝜅ак ⲅP𝝔ко — 𝑷иꪔс𝐤ий 𝜧и𝛗. ㅤ ㅤㅤ ㅤ 16 ⎯ 𓉘 𝟭7 𓉝 𝜹. ронь ⑉ 𝜦ита ﹍﹫𝐀𝗑𝖾𝗅. ㅤ:ᅠ(ᅠ𝓢 ) ᅟ𝗈𝗏𝖾 ㅤㅤ─ㅤ𐚁 ㅤㅤ𝜰. ᥴ᧘᧐ʙᥙя !.. 01' . 𝜹ыть подписанным на канал 02. ' 𝝅ереслать пост на канал (10+) / 3 друзьям. 03' . 𝝒е отписываться до и после результатов. ㅤᤫ‌ 𝕷‌𝗢𝖵𝗘 | ࣮ ֹ 𝗦𝗧𝗔𝕹

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21 Jul 2026, 12:56 UTC96 views6 reactionsread 10 August 2026

🎶🤓🪦🟥🟧: больше никогда не верьте этой дуре. Я умерла в домашних делах и флуде. Щас делаю заказ и после буду ебашитт работу на конкурс. Надеюсь вы очень меня ждёте, ну пж. Я честно шо нибудь вам сделаю крутое, как только разберусь с делами.🥹 Переоформление канала тоже будет, правда.. А, ещё я делаю щас косплей на фем Ким Солыма. Надеюсь хоть кто-то шарит... Как научусь надевать линзы иии куплю кое-шо, сразу вам покажу

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26 Jun 2026, 14:32 UTC196 views24 reactionsread 10 August 2026

🎶🌟🍭🤍: Я ЖИВАЯ, ЕЕЕ. Всего две 4!! Грустно, конеш, но жизнь зла, так шо, теперь я свободна птица, которая пытается восстановиться, лол. Щас попытаюсь сделать хоть что-то. Извиняюсь за то, что нихуя не выкладывала... 😕 #щп

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25 Apr 2026, 13:13 UTC447 views19 reactionsread 10 August 2026
Photo

🐃🍉🧦🧦🌲🪟 🪑 🪦🔤🔤🔤🔤🔤🔤💋 ੭୧ .🌟 ㅉ ✨ 。 ┄ 🌟 ✦✧ . 🪦🥹 📷🏠 - 𝑀𝑦 𝐻𝑒𝑟𝑜 𝐴𝑐𝑎𝑑𝑒𝑚𝑖𝑎 🥹🥹❤️🥹☕️🥹🥹 🪦🥹🐈‍⬛𝒉𝒂𝒓𝒂𝒄𝒕𝒆𝒓: 𝐾𝑎𝑡𝑠𝑢𝑘𝑖 𝐵𝑎𝑘𝑢𝑔𝑜𝑢.🍒 🥹👟: 💅🥹🥹 🪦🥹.🐭𝒚 𝒄𝒉𝒂𝒏𝒏𝒆𝒍: @fresylove 🌟🌟 🪦🤩📞: Знаю, что это уже вторая обработка с мга. Осд я если что не бросила, просто сейчас хочется развиваться в разных фд и один из них мга. Надеюсь баннер вам понравился! Делала его на заказ знакомой. マン . ≧﹏ ᭡᭡ ਈਓ 🪦🤩📞: обᴩᴀбо

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22 Apr 2026, 18:25 UTC353 views31 reactionsread 10 August 2026
Photo

🏝🐃🪟🍉🐃🏝🎂🐮🍉 🪑🏝 🌟🌟🌟🌟🌟🌟🌟🌟 𝟢꯭ 🥹 。 토끼 𓂃 ദ 🪦🥹📷🏠 - 𝐻𝑜𝑛𝑘𝑎𝑖 𝑆𝑡𝑎𝑟 𝑅𝑎𝑖𝑙 🥹🥹🐟🥹🍅🥹 🪦🥹. 🐈‍⬛𝒉𝒂𝒓𝒂𝒄𝒕𝒆𝒓: 𝑆𝑡𝑒𝑙𝑙𝑒😋 🥹🦕🥹🥹🤩🥹 🪦🥹.🐭𝒚 𝒄𝒉𝒂𝒏𝒏𝒆𝒍: @fresylove 👻👻👻 🌸😏🪦🌟: Воот, начала доделывать обработки, которые планировала, хаха. Как вам? 🤩🤩🤩 🌻😆🪦🌟: обᴩᴀбоᴛᴋᴀ будᴇᴛ ʙ ʙидᴇ ɸᴀйᴧᴀ ʙ ᴋоʍʍᴇнᴛᴀᴩиях. ʍожно иᴄᴨоᴧьзоʙᴀᴛь дᴧя ᴀʙы ᴀᴋᴋᴀунᴛᴀ. дᴧя дᴩуᴦих цᴇᴧᴇй ᴛоᴧьᴋо ᴄ оᴛʍᴇᴛᴋой ★☆ ° 🌟 てる 。 🤩 ⁺ ( ?? ) 、 🪦🥹 𝑎𝑢𝑡ℎ𝑜𝑟 𝑜𝑓 𝑡ℎ𝑒 𝐴𝑟𝑡

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18 Apr 2026, 05:24 UTC396 views30 reactionsread 10 August 2026
Photo

🪦❤️😁🧐🧐😂😐 🤩 🔤🔤🔤🔤🤩 𓂃☆ 🪦 𝘇 🪦𐰁 . 🪦 ⁺ 🪦🥹 📷🏠 - 𝑀𝑦 𝐻𝑒𝑟𝑜 𝐴𝑐𝑎𝑑𝑒𝑚𝑖𝑎 🥹🤩🥹🥹 🪦🥹. 🤩𝒉𝒂𝒓𝒂𝒄𝒕𝒆𝒓: 𝐼𝑧𝑢𝑘𝑢 𝑀𝑖𝑑𝑜𝑟𝑖𝑦𝑎🍒 🥹🤩🥹🥹 🪦🥹.🤩𝒚 𝒄𝒉𝒂𝒏𝒏𝒆𝒍: @fresylove 🪦🪦🪦🪦🪦🪦 🌟🤩🤩: давно уже ничего не делала, но вот, нашла силы для баннера знакомой, поэтому вот.. Хехе, оцените пожалуйста. Я тем временем, до сих пор пробую себя в разных стилях, хаха! 🥺 ✩𓂃 ✨ 𓂃 . 🤩🤩🤩: обᴩᴀбоᴛᴋᴀ будᴇᴛ ʙ ʙидᴇ ɸᴀйᴧᴀ, но иᴄ

custom 540911031828037712113🍓6custom 53574578905274338604custom 54114487218146181152custom 54116107709306995402custom 54021791301228622171custom 54111877724866145511custom 54495722431032977801

9 Jan 2026, 09:45 UTC≈3,410 views59 reactions5 Starsread 10 August 2026
Photo

🏝🐃🪟🍉🐃🏝🎂🐮🍉 🤩 🍊🍊🍊 🌟🌟🌟🌟🌟🌟🌟🌟🌟📖 🎧 𓈒❛ ✫࣪ ⭐️ 𝅄 𝂅🤩 ໑ 𝂅ׄ 𝂅🤩 🪦1️⃣. 🔤🔤 - 🤩𝑡𝑟𝑎𝑛𝑔𝑒𝑟 𝑇ℎ𝑖𝑛𝑔𝑠 🤍🤍🤍 🪦2️⃣. 🤩𝒉𝒂𝒓𝒂𝒄𝒕𝒆𝒓: 𝐹𝑒𝑚 𝑊𝑖𝑙𝑙 𝐵𝑦𝑒𝑟𝑠🤩 - 𝐹𝑒𝑚 𝑀𝑖𝑘𝑒 𝑊ℎ𝑒𝑒𝑙𝑒𝑟🤩 🤍🤍🤍 🌟🌟3️⃣.🔤𝒚 𝒄𝒉𝒂𝒏𝒏𝒆𝒍: @fresylove 🤩⭐️📚: Начала пробовать себя в разных стилях, чтобы в итоге найти свой, хаха. В этот раз решила, что лучше всего подойдёт что-то связанное с комиксами, хоть я и не шарю в них. Так же пробую играться со шрифтами (давно

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4 Jan 2026, 09:07 UTC670 views35 reactionsread 10 August 2026
Photo

🏝🐃🪟🍉🐃🏝🎂🐮🍉 🔠🔠🔠 🔤🔤🔤🔤🔤🔤🔤🔤🤩 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 🌟𝑒𝑏𝑢𝑡 𝑜𝑟 𝑑𝑖𝑒- 🔤🔤 ◟◟✿゙ 🤩 𝅄۫ ◠ 🤩.⟡ ׁ ᪶ ִ ִ୭ 🌟𝒉𝒂𝒓𝒂𝒄𝒕𝒆𝒓: 𝑃𝑎𝑟𝑘 𝑀𝑢𝑛𝑑𝑎𝑒🐶 — 𝐿𝑒𝑒 𝑆𝑒𝑗𝑖𝑛 𝐵🐻 😀😀😀😀😀😀😀😀🤩🤩 🤩 🤩 𓈒❛ ✫࣪ 🤩 𝅄 𝂅🤩 ໑ 𝂅ׄ 𝂅🪦🌟𝒚 𝒄𝒉𝒂𝒏𝒏𝒆𝒍: @fresylove 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 🪦🤩🤩🤩🤩:Очень люблю эту новеллу и мангу, хоть и в ру фд, произведение не сильно популярное. Сам баннер был создан для конкурса, но мне разрешили его выложить, хаха😚 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩: 🪦🤩🤩🤩🤩:обᴩ

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31 Dec 2025, 21:00 UTC523 views25 reactionsread 10 August 2026
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Всех с 🔤🔤🔤🔤🔤 🔤🔤🔤🔤🔤🌟 🪦🪄🪄🪄🪄🌟🌟 Я безумно рада тому, что данный новы год я встречаю с вами, людьми, что не смотря на все мои действия сейчас все равно интересуются моим контентом. Вы моя опора и поддержка, благодаря которой я все ещё веду этот канал и показываю свое творчество интернету. Спасибо вам большое за все! Я очень хочу вас видеть рядом с собой в 2026, надеюсь этот год пройдёт для вас уютно и удачно. А теперь, мн

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31 Dec 2025, 21:00 UTC543 views20 reactionsread 10 August 2026

Ты так же слушаешь мой бред про разные произведения, помогаешь чем можешь и показываешь свое доверие. Спасибо тебе большое, я очень рада дружить с тобой. Ты комфортный и приятный человек, с которым я хочу общаться ближе и быть рядом, как поддержка и подруга. Цем цем цем тебя 7. 𝓸𝓽𝓱𝓮𝓻𝓼𝓲𝓭𝓮 ролка. Это тот самый флуд, что заставил меня радоваться дням и понимать, что не все так плохо с ролевыми и флудами, хаха. Очень пр

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29 Dec 2025, 16:13 UTC443 views26 reactionsread 10 August 2026
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🔠🔠🔠🔠🔠🔠🔠🔠🔠 🌟 𝐹𝑒𝑚 🔤🔤🔤 🔤🔤🔤🔤🔤🪦 𑁯ᰍ 🖤 𓂃 🍇 日ぼ 🖤 ⁺ ୨ 🤍𝑚𝑛𝑖𝑠𝑐𝑖𝑒𝑛𝑡 𝑅𝑒𝑎𝑑𝑒𝑟 - 🔤🔤 ₊⠀੭ .🌟 ˚༝ (!)🪦🤍𝒉𝒂𝒓𝒂𝒄𝒕𝒆𝒓: 𝐾𝑖𝑚 𝐷𝑜𝑘𝑗𝑎 🌟 🌟୭₊ ˚ 🌟🌟🌟 ✿ 彡 ꒱ ꒱ 🌟. ࿐ 🌟🌟⠀ׄ⠀ 𖥔 ୭ ୭ 🌟 止る!! 🪦🤍𝒚 𝒄𝒉𝒂𝒏𝒏𝒆𝒍: @fresylove 🪄🪄🪄🪄🌺🪽🪽🖇️🤍🤍 Сначала это была просто лёгкая аватарка для инфо канала,🌟 но в итоге мне не совсем понравилось по вайбу, поэтому я решила выложить сюда. Вдруг вам захочется использовать.🌟 Я все равно на данный момент занята

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Showing the 12 most recent of 17 posts we hold for @fresylove. 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 — 1,111,649 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.

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

“✷ ´𝑷𝒊𝒗𝒑𝒊 ´ . ꕀᰍ!!” (@fresylove), 53 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/fresylove.

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.