Literature — 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 94% 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
37 measurements spanning 50 days, net +22. 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 14,899–14,995 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)
Subscribers
Change
24 Sept 2026, 22:19
14,943
+4
18 Sept 2026, 15:57
14,939
+7
16 Sept 2026, 09:18
14,932
-25
14 Sept 2026, 16:15
14,957
-3
13 Sept 2026, 03:40
14,960
-8
11 Sept 2026, 03:16
14,968
+3
8 Sept 2026, 04:56
14,965
+18
4 Sept 2026, 22:38
14,947
+8
3 Sept 2026, 07:38
14,939
-3
2 Sept 2026, 02:45
14,942
-1
1 Sept 2026, 05:25
14,943
-14
31 Aug 2026, 05:53
14,957
-4
30 Aug 2026, 06:49
14,961
+6
29 Aug 2026, 05:47
14,955
-18
28 Aug 2026, 06:54
14,973
-1
27 Aug 2026, 10:23
14,974
-6
26 Aug 2026, 06:57
14,980
+3
25 Aug 2026, 03:56
14,977
+10
23 Aug 2026, 19:39
14,967
-3
22 Aug 2026, 02:29
14,970
first reading
Engagement
77 posts held, back to 12 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.8%
avg views ÷ 14,943 subscribers
Avg views / post
2,650
22 posts measured
Reaction rate
3.88%
reactions ÷ views · ER floor
Posts in window
22
of 77 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
77 (12 July 2026 – 2 September 2026)
Views total
58,390
Reactions total
2,267
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 11:01 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
8,963 reactions across 70 posts, in 10 distinct kinds. The most used accounts for 30.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
2,758
30.8%
👍
2,465
27.5%
❤
1,917
21.4%
👎
742
8.28%
🤔
307
3.43%
💔
247
2.76%
😢
222
2.48%
👏
139
1.55%
🤨
138
1.54%
😡
28
0.312%
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 77 of the 77 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 9,973 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 77 most recent posts we hold, published 12 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.
یه پیرزنی مسوول جلسه[ شعرخوانی] است....پیردختر خیلی نازیه، فقط هنوز فکر میکنه شعر یعنی غروب دلانگیز آفتاب و پرواز کبوتر.
(زنها، بوکوفسکی، گنجشک قرمز)
پ.ن: من معتقدم ضربهای که سهراب سپهری به درک جامعهی ایرانی از شعر زد و گندی که به سلیقهی شعری ما وارد کرد، در تاریخ ادبیات ایران منحصر به فرده. سالها باید بگذره که تاثیر "من قطاری دیدم روشنایی میبرد" شسته بشه و بره.
@hafezbajoghli
من یه کشف زبانشناسی کردم!
در زبان فارسی یک فعل هست که چه مخاطب ما جمع باشه، چه مفرد و چه وقتی که با مخاطب صمیمی صحبت میکنیم و چه وقتی که با احترام با مخاطب مفرد صحبت میکنیم این فعل را جمع بهکار میبریم و معمولن مفردش بهکار برده نمیشه.
فعل "ببخشید"
@hafezbajoghli
دختر مو سیاهی از آن طرف اتاق گفت: آقای چیناسکی، من ترجمهی کتابهاتون رو تو آلمان خوندم. شما تو آلمان خیلی طرفدار دارین.
گفتم: چه خوب. کاشکی این طرفدارا یهخورده جیره مواجیب هم واسمون میفرستادن.
(زنها، بوکوفسکی، گنجشک قرمز)
پ.ن: خیلی قشنگ بیفایده بودن شهرت رو داره توصیف میکنه. حالا گیرم تو یه شهر دیگه یا حتا کشور دیگه هم آدمو بشناسن. که چی؟! این لذت توهم محضه. درسته که تمام لذتهای دنیا متوهمانه است. مثل ثروت. آ…
وقتی زن و شوهرها میان زوجدرمانی و داخل جلسه به جای اینکه اسم طرف مقابل رو بگن، همدیگه رو "این آقا" یا "این خانم" خطاب میکنن، احتمال اینکه بشه برای رابطهشون کاری کرد خیلی کمه.
@hafezbajoghli
گفت حالا ببین، ماهی رو اینطوری میخورن. من بچهی دهاتم. تماشا کن.
(زنها، بوکوفسکی، گنجشک قرمز)
پ.ن: من عاشق ماهیخوردن شمالیهام که با دست میخورن. البته شمالیهای قدیم.... چرا پیتزا و سیبزمینی سرخشده و شیشلیک و جوجهکباب استخوانی رو میشه با دست خورد، ماهی رو نمیشه؟!
@hafezbajoghli
(ادامهی پست قبلی)
نسترن یاد حرف نورولوژیست میفته که گفت مشکل پوریا شوک عصبیه. به ذهنش میرسه که بهتره برادرش توسط یک روانپزشک ویزیت بشه. به پوریا میگه به نظرم خوبه پیش دکتر کتی جون هم بریم. خیلی تعریف دکترش رو میکرد.
با کتی جون تماس میگیره و آدرس دکترش رو ازش میگیره.
- من با منشیش دوستم. خودم برای پوریا وقت میگیرم.
هفتهی بعد در مطب روانپزشک کتی جون.
- روانپزشک: خیلی خوشحالم میبیننتون. چه مشکلی داشتید؟
- هفته…
پوریا دانشجوی مهندسی مکانیک است. با پدر و مادرش زندگی میکند. آخر شب در دستشویی داشت مسواک میزد که متوجه دعوای پدر و مادرش میشود. دعوای آنها بالا میگیرد. پدر، مادر را کتک میزند. پوریا با شنیدن صدای ضجهی مادرش پایش سست میشود و زمین میخورد.
نسترن، خواهر پوریا این صحنه را میبیند و سریع خودش را به پوریا میرساند. صورت پوریا بیحالت است و پلکهایش افتادهاند. نسترن تلاش میکند به پوریا کمک کند که بلند شود ولی نم…
یه چیز دیگهت که ازش خوشم میاد، اینه که خونهت کثافته. روی زمین پره از
بطری آبجو. همهجا آشغال ریخته. ظرفات کثیفه، یه حلقهی گهی هم توی توالتت افتاده. داخل وان حمومت کبره بسته. دور و بر سینک دستشویی پره از تیغای کهنهی زنگزده. شک نداشتم کسمو میخوری.
-پس تو آدما رو از قیافهی خونهشون قضاوت میکنی، هان؟!
- آره. وقتی میبینم خونهی یه مردی مرتبه، میفهمم که یه جای کارش میلنگه. اگه خیلی تر و تمیز باشه، حتمن کونیه.
…
😁105👎30🤨19🤔6❤4👍4😢1
Signed Hafez Bajoghli
Showing the 12 most recent of 77 posts we hold for @Hafezbajoghli. 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.
Posts edited after publishing
@Hafezbajoghli edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
28 August 2026
Most recent edit
28 August 2026
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 6 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.
نباید میماندیم - معین دهاز @nabayad_m · 39,208 Telegram ranks this channel #11 of 88 here — alongside 87 others — read 31 August 2026
نشر میلکان | Milkan @nashremilkan · 30,870 Telegram ranks this channel #21 of 88 here — alongside 87 others — read 6 September 2026
نباید میخواندیم @nabayad_mikhandim · 31,426 Telegram ranks this channel #28 of 78 here — alongside 77 others — read 6 September 2026
دکتر آذرخش مکری @DrAzarakhshMokri · 201,418 Telegram ranks this channel #35 of 78 here — alongside 77 others — read 19 August 2026
غلط ننویسیم @ghalatnanevisimm · 20,973 Telegram ranks this channel #50 of 88 here — alongside 87 others — read 25 September 2026
پانتهآ وزیری @pv44telegram · 23,040 Telegram ranks this channel #52 of 87 here — alongside 86 others — read 19 September 2026
دکتر ظریفی پزشک کودکان @doctor_zarifi · 55,751 Telegram ranks this channel #59 of 87 here — alongside 86 others — read 23 August 2026
کانال آموزشی دکتر مینا صافی @drminasafi59 · 27,126 Telegram ranks this channel #62 of 90 here — alongside 89 others — read 11 September 2026
کلینیک سلامت ژالیا @healthclinic_ir · 22,810 Telegram ranks this channel #63 of 78 here — alongside 77 others — read 19 September 2026
اپلای فنلاند 🇫🇮 مهاجرت مازیار @Apply_Finland · 60,302 Telegram ranks this channel #69 of 69 here — alongside 68 others — read 24 August 2026
آنها @anhaaparat · 65,870 Telegram ranks this channel #70 of 84 here — alongside 83 others — read 22 August 2026
Science Magazine @science_magazine · 22,122 Telegram ranks this channel #82 of 95 here — alongside 94 others — read 21 September 2026
مدرسه پزشکی | امیرمحمد قربانی @schoolofmedicine_ir · 26,542 Telegram ranks this channel #89 of 93 here — alongside 92 others — read 12 September 2026
دیالکتیک علمی @ScientificDialectics · 24,277 Telegram ranks this channel #93 of 95 here — alongside 94 others — read 16 September 2026
طب اورژانس EMERGENCY @med_info · 33,870 Telegram ranks this channel #95 of 95 here — alongside 94 others — read 3 September 2026
This channel appears in 15 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 24 September 2026 — this
entry's latest reading, not the date you are reading this.
“یادداشتهای یک روانپزشک” (@Hafezbajoghli), 14,943 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/Hafezbajoghli.
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.