Channel
@letstherapys
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,764subscribers
-35 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002636273918 |
|---|---|
| Type | Channel |
| Username | @letstherapys |
| Created | Between 1 March 2025 and 28 May 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/letstherapys |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 23:48 | 2,764 | -21 |
| 10 Aug 2026, 10:38 | 2,785 | -9 |
| 7 Aug 2026, 12:00 | 2,794 | -5 |
| 6 Aug 2026, 22:45 | 2,799 | first reading |
13 posts held, back to 28 May 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof 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 13 posts for this entry, the most recent from 25 November 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 3 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.
1,690 reactions across 13 posts, in 8 distinct kinds. The most used accounts for 51.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💋 | 863 | 51.1% | |
| 🕊 | 284 | 16.8% | |
| 💅 | 147 | 8.70% | |
| 🍓 | 122 | 7.22% | |
| 💘 | 112 | 6.63% | |
| ☃ | 88 | 5.21% | |
| 💯 | 62 | 3.67% | |
| 🦄 | 12 | 0.71% |
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 13 of the 13 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 1,690reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 28 May 2025 to 25 November 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
ما به تنهایی توانایی از بین بردن یک ایگو رو نداریم؛ به زبون دیگه توانایی تغییر خردجمعی رو نداریم ولی میتونیم از خودمون شروع کنیم. روی خودمون تمرکز کنیم و تبدیل به ورژنهای بهتری از گذشته و بهترین ورژنهامون بشیم. وقتی از یک جمع ده نفره، دو نفر این موضوع رو شروع کنن، اون هشت نفر دیگه که در ارتباط با اونها هستند هم تاثیر قرار میگیرند. اون زمان شاید خردجمعی حاصل بشه و دنیا از ایگومحور بودن خارج بشه. پس سری بعد که خواست…
💯35🍓10
الان داشتم درباره ایگوها در ماه نو مطالعه میکردم و به نظرم خیلی با این ویدئو مرتبط میومد. بخش بزرگی از زندگی ما بر پایه ایگوها بنا شده، ایگو شامل همه چیز از زندگی ما میشه از رفتارها و گفتارهای کوچیک و روزمره ما که حتی متوجه اونها نیستیم تا تبعیض جنسیتی بین مرد و زن، همگی اینها شامل ایگو هستند. زمانی که ایگو از بین بره شما احساس عدم امنیت میکنید، حس میکنید دنیا به پایان رسیده و هیچ راهی برای ادامه زندگی ندارید اما …
🍓31🦄3💯2
📿 How to stop making life hard 🤩 ویدئوی بالا از جیلز توسط چنل Let's Therapy ترجمه و ساب شده، موضوع صحبتش درباره این هست که چطور زندگی رو سخت نگیریم🤩 let's therapy 🤩
💋173🍓4💯3🕊2
File, posted without a caption
🍓49🦄4💅3💘1
🌟 How to stop overthink 🤩 ویدئوی بالا از لیز توسط چنل Let's Therapy ترجمه و ساب شده، موضوع صحبتش درباره این هست که چطور اورثینک رو متوقف کنیم▫️ let's therapy 🤩
💋228💘4🍓3💅3🕊1
Video message, posted without a caption
💋105🍓8💘2🕊2
🧴How to never feel embarrassed again 🌸 ویدئوی بالا از لیز توسط چنل Let's Therapy ترجمه و ساب شده، موضوع صحبتش درباره این هست که چطور دوباره هرگز احساس خجالت نکنیم💋 let's therapy 🐚
💋189🍓4💯4🦄4☃2💘2
استوری پنجم:داداش، اون بمباران عشقی هم یه جایی باید تموم بشه، نه؟ چطور میتونی یک سال منو با عشق خفه کنی و بعد بگی رابطهمون جعلی بوده؟ تو خودت فیکی. اون ویدیوی عذرخواهی مسخرهت که گفتی: «وقتی دارم سعی میکنم درستش کنم چشمزخم نزنید به ما» — خودت همون چشمزخمی، لعنتی! استوری ششم: من باید از همون اول به فالورهام گوش میدادم!!! اونها مدام بهم میگفتن یه چیزی دربارش درست نیست!!! فالورهام به من وفاداری بیشتری نشون می…
💋168💅12💘3🕊1
استوری سوم: چطور ممکنه با من ویدیو بگیری و همزمان فکر کنی وقت خوبیه برای تلاش برای خیانت؟ اون دختر برام ویس فرستاده که همیشه فکر میکرده اون پسره عجیبه و هیچوقت نمیخواستهش، و شوکه شده وقتی دیده با من نامزد کرده چون سالها طرفدار من بوده. خجالتآورترین چیز اینه که خواستی خیانت کنی و حتی تو اونم رد شدی... استوری چهارم: برادر یه کتاب کامل برام نوشته با ۲۶ تا دلیل که چرا دوستم داره، اونم سه ساعت وقت گذاشت، تو روز تو…
🕊109💯13💅9💘3
استوری اول: چطور ممکنه نزدیک یه میلیون دلار برای من خرج کنی، حاضر نباشی بیشتر از یه هفته بدون من باشی، و نذاری رابطهمون از راه دور و لانگ دیستنس باشه تا وقتی کارهای ویزای من درست بشه چون میخوای همیشه کنارم باشی، مجبورم کنی آپارتمانم رو واگذار کنم و باهات به همه جای دنیا نقلمکان کنم و توی AirBNB بمونیم تا ویزا درست بشه... چهار روز پیش کنار هم خوابیدیم، تو توی هواپیما برام پیام فرستادی که چقدر دلت برام تنگ شده و چق…
💅117🕊4🍓3
استوری سوم: از اینکه مجبورم درباره شایعهها یا سوءتفاهمهای احمقانه توضیح بدم متنفرم، ولی الان خودم دارم یه دوره سخت رو میگذرونم و اینکه بیان سراغم با این حرف که «اون وقتی باهاش وارد رابطه شد مجرد نبود» واقعاً اذیتم میکنه. مدرک؟؟؟؟؟ منم خیلی دوست دارم بدونم، واقعاً!! اینترنت فقط برای خنده و شوخی چیزهایی رو میسازه، واقعاً عجیبه! ترجمه توییت: فکر میکنم دلیلش اول ویدیوی آخرت باشه. تو گفتی که هر دوتون بعدش وارد راب…
💘78🍓4🕊1
استوری اول: میخوام یه چیزی رو روشن کنم، چون پیامهایی دریافت کردم و دروغهایی داره پخش میشه: لندون کاملاً سینگل بود وقتی منو ملاقات کرد. ما هر دو توی رابطهای نبودیم. نمیدونم مردم چطور به چنین نتیجهای رسیدن یا چه کسی اینو ساخته، اما قطعاً اگر اون از اول سینگل نبود، من هرگز باهاش وارد رابطه نمیشدم. وقتی چهار سال پیش اولین بار توی اینستاگرام آشنا شدیم، چند روزی با هم حرف زدیم و بعد از اون من وارد یه رابطه شدم، اون…
☃86💯5🍓4💘1
Showing the 12 most recent of 13 posts we hold for @letstherapys. 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 — 541,714 of 1,336,469entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 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.
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.
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.
“let's therapy” (@letstherapys), 2,764 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/letstherapys.
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.