Personal blog — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 69% 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.
Growth
29 measurements spanning 33 days, net -156. 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 23,091–23,293 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
8 Sept 2026, 02:38
23,114
-20
4 Sept 2026, 21:17
23,134
-10
3 Sept 2026, 09:03
23,144
-9
2 Sept 2026, 01:58
23,153
+4
1 Sept 2026, 03:09
23,149
-3
31 Aug 2026, 05:46
23,152
-6
30 Aug 2026, 06:36
23,158
-4
29 Aug 2026, 05:33
23,162
+2
28 Aug 2026, 09:03
23,160
-6
27 Aug 2026, 05:34
23,166
-8
26 Aug 2026, 09:05
23,174
-3
24 Aug 2026, 09:43
23,177
-5
22 Aug 2026, 18:33
23,182
+3
21 Aug 2026, 11:53
23,179
-6
20 Aug 2026, 08:22
23,185
-4
19 Aug 2026, 11:54
23,189
-7
18 Aug 2026, 14:52
23,196
-5
17 Aug 2026, 16:56
23,201
-10
16 Aug 2026, 14:15
23,211
-24
14 Aug 2026, 20:44
23,235
first reading
Engagement
28 posts held, back to 24 April 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
53.4%
avg views ÷ 23,114 subscribers
Avg views / post
12,300
7 posts measured
Reaction rate
6.44%
reactions ÷ views · ER floor
Posts in window
7
of 28 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
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
28 (24 April 2026 – 2 September 2026)
Views total
86,350
Reactions total
5,563
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 11:10 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
20,555 reactions across 26 posts, in 10 distinct kinds. The most used accounts for 68.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
14,102
68.6%
👍
2,123
10.3%
💔
1,833
8.92%
😁
621
3.02%
🥰
616
3.00%
❤🔥
583
2.84%
💯
300
1.46%
🕊
191
0.929%
👎
138
0.671%
🎉
48
0.234%
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 26 of the 28 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 20,555 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 24 April 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.
Dear RES colleagues,
Today marks Nowruz, the Persian New Year - a celebration of the first day of Spring, renewal, hope, and new beginnings. This morning, we set our Haft-Seen table at home (photo attached), a tradition that symbolizes growth, resilience, and the promise of brighter days ahead.
This year, Nowruz feels especially symbolic and meaningful to me. With the ongoing war in Iran, it has been a difficult ti…
دوتا خوشحالی یوتیوبی با شما شریک بشم.
یکی اینکه دیشب فهمیدم یوتیوب قابلیت دوبله همزمان رو فعال کرده. یعنی من وقتی ویدیوی فارسی آپلود کنم همزمان ترجمه فارسی به انگلیسی که از یک سال و نیم پیش داشت، الان صدا هم میگذاره روش. یک انگلیسی زبان ویدیوی فارسی منو باز میکنه و صدای انگلیسی میشنوه. من خیلی منتظر این فیچر بودم چون تکنولوژی اجزای تشکیل دهندهاش مدتها بود جود داشت. همین دیشب رفتم توی ستینگ کانال و قابلیت auto dubbi…
از طریق کار، من با یک coach کار میکنم یک خانوم کانادایی هست. خیلی هم کارش خوبه.
اوایلی که جنگ ماه فوریه شروع شد من باهاش جلسه داشتم. حالم واقعا بد بود. اومد نکات معمولی که همه میدونیم مثل "روی چیزهایی تحت کنترل تمرکز کن" رو دوره کنه...گفتم لین، من همه اینا رو بلدم. تو هم میدونی خود تنظیمی خوبی دارم. اما فکر کن ظرفیت روح من شصت واحد استرس بوده. بعد یهو یه شبه باید صد و شصت واحد حمل کنم. نمیتونم. دنبال این نیستم که تو …
مانیشا دختر من سه روز دیگه میره اول دبیرستان. دبیرستان هم معمولی نیست. باید امتحان میداد، قبول میشد. دولتی هم هست.
در نتیجه فرض من اینه که دورش کلی بچه درسخون خواهند بود و فشار رقابت بالاست.
به عنوان مادرش میخوام سختکوش و تلاشگر باشه اما دیدگاهش به زندگی درست بمونه.
سر ناهار گفتم مانیشا میری مدرسه درس بخون، سعی کن نمرههات خوب بشه. اما نمرهات بد شد اشکالی نداره...ازش یاد بگیر.
این فرق آدمهای موفق و بقیه است. آد…
دو سه سالیه که من دیگه در روزمره زندگی افکار خود سرزنشگری تقریبا اصلا ندارم. یعنی یک حالتی از شفای درون که شمای پرفکشنیست باورتون نمیشه شدنی باشه ولی شده...به غیر از این چند روز.
حالا بیایین داستانش رو بگم.
من چهارده ماه پیش کارم رو عوض کردم. شرکت جدید، سوییسری یکی از بزرگترین و معتبرترین شرکتهای بیمه اعتباری دنیاست. این یعنی چی؟ یعنی وقتی من وارد گردهمایی مدیران هلدینگ (دویست نفر) و گردهمایی مدیران شرکت زیر مجمو…
Belonging without sameness
تعلق داشتن بدون شبیه بودن.
مخاطب این پست دوستان مهاجر هستند.
در طی سالهای اخیر مواردی بوده دیدم توی جلسه مشورتی دوستی چقدر ناراحته که لهجه انگلیسیش خوب (نیتیو) نیست.
دوست دیگه ناراحته که ممکنه در جامعه میزبان کسی که مثلا اروپایی یا آمریکایی هست بهشون به دید نژاد پرستانه نگاه بکنه.
مدل ذهنی که من میخوام به شمای مهاجر پیشنهاد بدم تعلق داشتن بدون شبیه بودن هست.
شما زمانی میرسه که وارد جم…
Masculinity vs Toxic Masculinity
مانیشا دختر من دو هفته دیگه میره اول دبیرستان. نشونده بودمش و میگفتم ببین آدمهایی هستند مثل Nick Fuentes یا Andrew Tate که محتوایی تولید میکنند که ممکنه پسرهای دورت نسبت بهشون آسیب پذیر باشند چون الگوی خوب و مدرنی از مردانگی دورشون نداشتهاند.
بعد گفتم ببین من یه تعریف جمع و جور از فرق مردانگی و مردانگی سمی در یک تحلیل رادیویی شنیدم شاید به دردت بخوره:
مردانگی: وقتی مردی با خدمت کر…
دوستان من یک نکتهای رو این چند هفته در گفتگوهایی با دوستان تکرار شد اینجا خدمتتون بگم محض هدیه. شاید در این شرایط بحرانی کمکی کرد.
با توجه به شرایط بسیار مشکلی که ایرانیها در همه جای دنیا و مخصوصا داخل ایران دارند مدیریت میکنند یک الگوی فکری که من فکر میکنم در این شرایط تابآوری شما رو بیشتر میکنه و کمک میکنه استقامت روحی بیشتری داشته باشید و در تصمیمگیری آزادی عمل و شفافیت فکری بیشتری داشته باشید اینه که حواستون…
توی انگلیسی دوتا اصطلاح داریم nice و kind
فکر میکنم بهترین ترجمه برای نایس بشه دلپذیر بودن ولی کایند بشه مهربان بودن
تفکیک این دوتا خیلی مهمه.
دلپذیر بودن وابسته به تایید دیگری هست. ما باید یه جوری رفتار کنیم که برای دل بقیه خوش بیاد. مهربان بودن ارزش محور هست. ما مهربان هستیم چون فکر میکنیم ارزش گذاشتن به دیگران کار درستی هست
دلپذیر بودن خود-محور هست. ما سعی میکنیم دلپذیر باشیم که دیگران ما رو دوست داشته باشند. …
عزیزان، این رو اینجا بگم که همه ببینند. یک عده قلیلی در این جمع هر از گاهی جو رو متشنج میکنید، دوباره هم شروع کردید. ادامه پیدا کنه برای آرامش اعصاب بقیه کامنتها رو دوباره خواهم بست.
گفتم پست بنویسم که دیده بشه.
👍281❤147💯10👎7🕊7💔3❤🔥1
Showing the 12 most recent of 28 posts we hold for @pv44telegram. 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.
Forward network
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.
Mentions
Named by 4 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.
Appears in Telegram’s recommendations for other channels
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.
_poune_ @Poonehmoghimi · 42,947 Telegram ranks this channel #42 of 78 here — alongside 77 others — read 28 August 2026
گفت و چای | فهیم عطار @fahimattar · 42,971 Telegram ranks this channel #43 of 96 here — alongside 95 others — read 28 August 2026
تسهیلگری در زندگی @gildaborojerdi · 28,502 Telegram ranks this channel #54 of 69 here — alongside 68 others — read 9 September 2026
نشر میلکان | Milkan @nashremilkan · 30,979 Telegram ranks this channel #56 of 88 here — alongside 87 others — read 6 September 2026
Mehrsasharoleslam @mehrsasharoleslam · 36,424 Telegram ranks this channel #57 of 92 here — alongside 91 others — read 1 September 2026
Anousha @anousha_eternal · 82,653 Telegram ranks this channel #59 of 85 here — alongside 84 others — read 18 August 2026
دکتر آذرخش مکری @DrAzarakhshMokri · 201,472 Telegram ranks this channel #60 of 78 here — alongside 77 others — read 19 August 2026
دکتر ظریفی پزشک کودکان @doctor_zarifi · 55,895 Telegram ranks this channel #79 of 87 here — alongside 86 others — read 23 August 2026
دکتر محمدرضا سرگلزایی drsargolzaei @drsargolzaei · 35,962 Telegram ranks this channel #84 of 95 here — alongside 94 others — read 2 September 2026
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.
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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“پانتهآ وزیری” (@pv44telegram), 23,114 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/pv44telegram.
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.