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 30 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
5 measurements spanning 64 days, net +12. 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 187–203 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Oct 2026, 10:17
201
+8
30 Sept 2026, 07:17
193
+3
14 Aug 2026, 19:15
190
+1
8 Aug 2026, 12:02
189
no change
7 Aug 2026, 08:51
189
first reading
Engagement
20 posts held, back to 21 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 1 page of 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 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 27s
Average length
2m 27s
Measured directly from 1 video 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.
Reaction mix
25 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 88.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
22
88.0%
👍
3
12.0%
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 12 of the 20 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 25 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 21 July 2026 to 7 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.
Ben çürümüş bir asayım
Zindanlara yol eyledi dert beni
Çarmıha gerilmiş bir İsayım
Çivilere zapt eyledi dert beni
من عصایی پوسیده ام
درد راهم را به زندان ها انداخت(اشاره به موسی)
عیسایی به صلیب درآمده ام
درد مرا در گیر ِ میخ ها انداخت
Pirsultanı da darda gördüm
Dar ağaca vur eyledi aşk beni
Hacı Bektaşı kırda gördüm
Bir ceylana pir eyledi aşk beni
پیرسلطان' را هم بر دار دیدم
عشق مرا مفتون چوبه ی دار ک…
لازم نیست گوش کنید،
فقط منتظر شوید.
حتی لازم نیست منتظر شوید،
فقط بیاموزید که آرام و ساکن و تنها باشید.
جهان آزادانه خود را به شما پیشکش خواهد کرد تا نقاب از چهره اش بردارید.
انتخاب دیگری ندارد؛
مسرور، گِرد پای شما خواهد گشت.
#فرانتس_کافکا
@chem_poem
...نمیدانم چرا هرچه بیشتر میگذرد با تو یکرنگتر میشوم، انگار هر لحظه، هر نفس با تو هم اختتر میشوم و بیشتر درکت میکنم...
آهااای زندگی بی حساب کتاب من!
مثل تو میرقصم، مثل تو پرواز میکنم و مثل تو زمین میخورم... با تو یادمیگیرم و با تو تجربه میکنم.
مثل تو پر شور و حرارت، پر از بی منطقی و بیعدالتی های ناگهانی و در عین تناقض مضحکت جذاب و پر از لحظههای بیتکرار و تماشایی، شاید هم... نمیدانم فردا چه آشی برایم …
چگونه شعر بگویم برایت ای مادر
که شعر حاصل کار کلاف و سوزن توست
چگونه نغمه بخوانم که بهترین نغمه
صدای شرشر آب از لباس شستن توست❤
برای وصف تو آرایهای نمیخواهم
جناس تام قشنگی است در اشارهی تو
تضاد یعنی اداهای کفش تازهی من
کنار #مصلحت_کفش_پاره_پارهی_تو
ای آفتاب زمستان ای آسمان بهار
بیا و گرم کن این آسمان یاغی را
نگاه کن به خمیری که منتظر ماندهست
بیا بزن به تنور این جوان یاغی را
تو #کدخدای_تنوری و تاول دست…
I am lost in a rainbow
در رنگینکمانی گم شدهام
Now our rainbow is gone
اکنون رنگینکمان ما رفته است
Overcast by your shadow
زیر سایهی تو تیره و تار شده
As our worlds move on
همزمان که دنیاهایمان پیش میروند
In this shirt I can be you
با پوشیدن این پیراهن، میتوانم تو باشم
To be near you for a while
تا برای مدتی به تو نزدیک شوم
In this shirt I can be you
با پوشیدن این پیراهن، میتوانم تو باشم
To be near you…
Signed ali seydanlou
Showing the 12 most recent of 20 posts we hold for @chem_poem. 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
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
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 October 2026 — this
entry's latest reading, not the date you are reading this.
“چِم | Chem” (@chem_poem), 201 subscribers as measured 10 October 2026. Telegram Register, tgregister.com/channel/chem_poem.
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.