حالا هم هروقت تو به «سس مایونز» که از ترکیب دو کلمهی فرانسوی تشکیل شده، گفتی «چربآبهی تخم مرغآلود شده» من هم برای انتخاب کلماتم مسئولانه تر عمل میکنم. 💞🎀💞🎀💞
💘151🐳20🍓7

Channel
@susansgarden
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
14,015subscribers
+101 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001376621257 |
|---|---|
| Type | Channel |
| Username | @susansgarden |
| Created | 7 December 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/susansgarden |
Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 41% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 17:58 | 14,015 | -34 |
| 16 Sept 2026, 12:55 | 14,049 | -17 |
| 14 Sept 2026, 18:38 | 14,066 | -20 |
| 13 Sept 2026, 05:57 | 14,086 | -23 |
| 11 Sept 2026, 05:01 | 14,109 | -29 |
| 8 Sept 2026, 06:39 | 14,138 | +8 |
| 5 Sept 2026, 02:57 | 14,130 | +7 |
| 3 Sept 2026, 09:43 | 14,123 | -23 |
| 2 Sept 2026, 03:54 | 14,146 | -18 |
| 1 Sept 2026, 00:24 | 14,164 | -22 |
| 31 Aug 2026, 00:17 | 14,186 | -16 |
| 30 Aug 2026, 01:56 | 14,202 | -43 |
| 29 Aug 2026, 01:18 | 14,245 | +46 |
| 27 Aug 2026, 22:25 | 14,199 | +420 |
| 26 Aug 2026, 21:58 | 13,779 | -10 |
| 25 Aug 2026, 21:53 | 13,789 | +3 |
| 24 Aug 2026, 20:46 | 13,786 | -15 |
| 23 Aug 2026, 09:48 | 13,801 | -13 |
| 21 Aug 2026, 23:57 | 13,814 | -1 |
| 20 Aug 2026, 17:43 | 13,815 | first reading |
53 posts held, back to 26 July 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 51 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 53 (26 July 2026 – 2 September 2026) |
| Views total | 65,010 |
| Reactions total | 3,382 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 19:05 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.
14,674 reactions across 53 posts, in 4 distinct kinds. The most used accounts for 42.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😭 | 6,199 | 42.2% | |
| 💘 | 4,297 | 29.3% | |
| 🍓 | 3,544 | 24.2% | |
| 🐳 | 634 | 4.32% |
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 53 of the 53 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 14,674 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 most recent posts we hold, published 26 July 2026 to 2 September 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.
حالا هم هروقت تو به «سس مایونز» که از ترکیب دو کلمهی فرانسوی تشکیل شده، گفتی «چربآبهی تخم مرغآلود شده» من هم برای انتخاب کلماتم مسئولانه تر عمل میکنم. 💞🎀💞🎀💞
💘151🐳20🍓7
حالا من خودم بیشترین احترام رو واسه ادبیات فارسی قائلم و عاشقشم و بهش افتخار میکنم و تا به حال پیش نیومده حتی یک غلط املایی هم کسی ازم بگیره. تو نوجوونیم همیشه شعر میخوندم و انسانی خوندم و ادبیات فارسیم عالی بود. واسه همین این وصلهها به من نمیچسبه :))) ممنون💞🎀💞🎀💞🎀
🍓140💘39
و این فقط مختص زبون فارسیهم نیست. تو ایتالیاییهم هزاران کلمهی انگلیسی وجود داره. بخاطر سوشال مدیا و تبادل فرهنگی، خیلی از کلمات رو با هم رد و بدل کردیم. بنظرم اینجور چیزها خاصیت دنیای جدید و مدرنه. دقیقاً با همون منطق که دورهی قاجار و بخاطر تبادل فرهنگی با فرانسه، صدها کلمهی فرانسوی وارد فارسی شد.
💘117🍓22
خیلی طبیعیه که تو هر زبون، کلمات خارجی هم اومده باشن. مشکلی هم نداره. مثلاً میدونستی بدون اینکه متوجه باشی، تو مکالماتت صدها کلمهی فرانسوی داری استفاده میکنی؟ «مرسی، مانتو، پالتو، شوفاژ، آسانسور، آباژور، لوستر، مبل، دکور، ویترین، کنسول، پارکت، موزاییک، گاراژ، اتوبوس، تاکسی، بودجه، بورس، مایونز، شنیون،…» همشون فرانسویان
🍓159💘9🐳7
نظر من اینه البته شاید شما نظر دیگهای داشته باشین
🍓91💘8
عزیزم خو بگو پرستارشم یا مراقبشم یا هر کلمه دیگه ای چرا زبان پارسی رو پاس نمیدارین😭😂😂 بیبی سیتر اخه
🍓60💘6
پرستار بهم این حسو میده که انگار مریضه و من بهش دارو میدم گاهی باید بپذیریم بعضی کلمات تو زبون ما یکسری معانی رو درست نمیرسونن. این نقص زبان فارسی هم نیست. بعضی مسائل فرهنگیان و در فرهنگ ما خیلی رایج نبودن.
💘164🍓25🐳1
بچهها من بیبیسیتر این نینیام بچهی من نیست🤣🤣🤣
😭167🍓17💘12
دیروز تو بغل من بود و بیرون بودیم، داشت گریه میکرد و مردم بهمون نگاه میکردن حالا کلهی این بچه زردِ زرد، من مشکیِ مشکییی! استرس داشتم مردم فکر کنن بچهی مردم رو دزدیدم که داره گریه هم میکنه :))))
😭249🍓10💘7🐳6
و البته نصف دیگهی روز هم من هستم و این جوجهی زردم💞
🍓157😭40💘12
واقعی ترین تصویری که از من دیده بشه این ایام همینه. چند روز مونده به امتحان مهمم، موهای ژولیده، آیپدم که همیشه دستمه و وقتی بازش میکنم اتوماتیک جزوهام باز میشه، لاکی که پاک شده و حوصلهای که دیگه داره به انتهاش میرسه.
💘130🍓5😭4
امتحان هرچی سخت تر، ارزش غذایی کمتر 👍🏻 کافئین بیشتر👍🏻 پیتزا آماده👍🏻
💘174😭30🍓6🐳1
Showing the 12 most recent of 53 posts we hold for @susansgarden. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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.
This channel appears in 9 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“شوشن در ایتالیا” (@susansgarden), 14,015 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/susansgarden.
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.