Literature — 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 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 the other topics.
Growth
63 measurements spanning 101 days, net +485. 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 11,666–12,306 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
14 Nov 2026, 13:37
12,232
+15
11 Nov 2026, 17:16
12,217
+1
9 Nov 2026, 17:55
12,216
+1
8 Nov 2026, 09:46
12,215
+2
7 Nov 2026, 07:31
12,213
+4
5 Nov 2026, 08:01
12,209
-1
4 Nov 2026, 10:26
12,210
+10
3 Nov 2026, 07:30
12,200
+8
2 Nov 2026, 06:24
12,192
+9
1 Nov 2026, 08:29
12,183
+1
31 Oct 2026, 09:58
12,182
+6
30 Oct 2026, 09:56
12,176
+5
29 Oct 2026, 08:58
12,171
+3
28 Oct 2026, 09:45
12,168
+12
27 Oct 2026, 06:18
12,156
+27
26 Oct 2026, 07:30
12,129
+12
25 Oct 2026, 07:47
12,117
-3
24 Oct 2026, 04:47
12,120
+6
23 Oct 2026, 03:46
12,114
+9
22 Oct 2026, 04:19
12,105
first reading
Engagement
41 posts held, back to 16 June 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 72 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.7%
avg views ÷ 12,232 subscribers
Avg views / post
1,670
7 posts measured
Reaction rate
0.915%
reactions ÷ views · ER floor
Posts in window
7
of 41 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 15 November 2026
Posts held
41 (16 June 2026 – 15 November 2026)
Views total
11,693
Reactions total
107
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 09:29 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.
What this channel posts
Photos
≈3,670
Videos
≈269
Links
≈1,590
Lifetime counters from Telegram’s own channel header, read 15 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
849 reactions across 41 posts, in 14 distinct kinds. The most used accounts for 70.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
598
70.4%
👏
84
9.89%
👍
75
8.83%
🔥
36
4.24%
🤩
19
2.24%
👌
12
1.41%
🥰
10
1.18%
👎
5
0.589%
🤔
5
0.589%
🆒
1
0.118%
🕊
1
0.118%
🗿
1
0.118%
😡
1
0.118%
🙏
1
0.118%
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 41 of the 41 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 849 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 16 June 2026 to 15 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 7 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
۲۴ آبان، آغاز هفتهی کتاب و کتابخوانی و روز کتابدار، بهانهای است برای دیدنِ کار بیهیاهو اما ماندگار کتابداران و ترویجگرانی که در جایجای این سرزمین، مجالی برای ورود کودکان به جهان ادبیات میآفرینند و حقِ آنان برای دسترسی به کتابهای باکیفیت، پرسشگری و خیال را پاس میدارند.
ترویج خواندن کار یک هفته نیست؛ تداوم لحظههای کوچکِ با هم خواندن است.
روزتان مبارک! 🎉📚
#هفته_کتاب
#هفته_کتابخوانی
#روز_کتابدار
#ترویج_خوان…
🔺«جهانی را تصور کنید که در آن، واژهها پیش از اشیا وجود دارند. نه اینکه ابتدا درختی باشد و بعد ما آن را «درخت» بنامیم؛ نه، در این جهان ابتدا واژه میآید و بعد درختی از دل آن سر برمیآورد. موجودات پیش از آنکه دیده شوند، نامی دارند و آواها میتوانند سرنوشت جهانی را تغییر دهند. حتی ممکن است روزی چند آوای کوچک ناپدید شوند و ناگهان همهچیز به خطر بیافتد.
به جهان کوکو و پوپو خوش آمدید، جهانی که در آن زبان فقط افزاری برای س…
🔺«برای نزدیکشدن به جهان پیچیده و شگفت «ماجراهای کوکو و پوپو»، ابتدا به سراغ انیمیشنی میرویم که با مسئلهی آفرینش و رابطهی آفریده با آفریننده، مانند کتاب «افسانه، افسانه است» خویشاوندی دارد؛ انیمیشن «نقاشی» (۲۰۱۱). این انیمیشن ما را وادار میکند دوباره به قدرت نویسنده و آفریدگار داستان بیاندیشیم، اما اینبار به جای واژهها و شخصیتهای قصه، با تصویرها و موجوداتی روبهرو میشویم که درون یک تابلوی نقاشی زندگی میکنند.…
🔺در «ماجراهای کوکو و پوپو» نویسنده بهجای تکیه بر سرمایهی شخصیتهای آشنا و جهانهای ازپیشساخته، از قابلیتهای خود زبان برای ساختن قلمروهای تازهی تخیل استفاده میکند. شخصیتهای این جهان، به معنای استعاری کلمه، کرایهای، عاریتی و از پیشموجود نیستند؛ آنها حاصل نیروی آفرینندهی زبانیاند که در متن به حرکت درمیآید و از دل واژهها، آواها و ساز و کار روایی، آفریده میشوند.
فانتزی زبانی در این مجموعه نه گریز از واقعیت،…
🔺«وقتی برای ترجمه قلم به دست میگیرم، خود را روی صحنهی تئاتر میبینم. اینگونه که در آنِ واحد در جای سه شخصیت ایفای نقش میکنم: نویسندهی مبدأ، بازیگر-راوی، و شنونده-خواننده زبان مقصد. مثال: هنگام ترجمه خود را در جای سیلوراستاین، رولد دال یا پیتر رینولدزی مجسم میکنم که به زبان فارسی برای بچههای ایرانی قصه میگویند.
در عینحال حواسم به جهت وفاداری به متن هست که هیچ کلمهی معناداری -حتی یک «آه!»- را جا نیندازم مگر ا…
🔺«نخستین ویژگی درخشان کتاب، شیوهای است که در آن مسئلهای روایی را به رخدادی در جهان داستان تبدیل میکند. هنگامی که داستانی را میخوانیم به این فکر نمیکنیم که نویسنده چگونه آن را نوشته یا اگر نوشتن متوقف شود، چه اتفاقی برای شخصیتها میافتد.
ما جهان داستان را میپذیریم و ماجراها را همچون رخدادهایی واقعی در همان جهان دنبال میکنیم. اما در این کتاب، شخصیتها از وابستگی خود به نوشته شدن آگاه میشوند. وقتی نویسنده نمیت…
🔺«سال ۱۳۴۴ پس از گرفتن دیپلم طبیعی در کنکور دانشگاه مشهد، رشتهی زبان و ادبیات انگلیسی قبول شدم اما از آنجا که پدرم حاضر نشد مخارج تحصیلم را برعهده بگیرد، برای سه ماه در پروژه اصلاحات ارضی سیستان به اصطلاح میرزابنویسی کردم تا شهریهی سال اول دانشگاه را فراهم کنم. سال ۱۳۴۵ دوباره در کنکور شرکت کردم. در دو رشته قبول شدم و وارد دانشکده ادبیات مشهد شدم. ابتدا در رشتهی ادبیات فارسی نامنویسی کردم. چند روز بعد انصراف دادم…
🔺«یکی دیگر از ویژگیهای چشمگیر کتاب، معرفی و واکاوی صدها اثر ادبی در حوزه ادبیات کودکان است. این گستره بهخودیخود اهمیت دارد، اما ارزش آن تنها در تعداد کتابها نیست؛ در این است که ادبیات کودکان را به میدان انتخاب و داوری آگاهانه و معطوف به عمل میآورد.
انتخاب کتاب برای کودک، کاری ساده و بینیاز از شناخت نیست. هر کتابی که به دست کودک میرسد، امکان خاصی از دیدن جهان را پیش روی او میگذارد. شناخت گونههای ادبی، کیفیت …
🔺«وقتی که همراه برادرم برای تحصیل دبیرستانی به شهر زابل آمدیم اوضاع به کلی متفاوت بود. تعداد زیادی لیسانسیهی تازه فارغالتحصیلشده و تازهنفس به شهر سنتی و راکد ما پا گذاشته بودند و بیپروا به عقاید کهنه و دستوپاگیر رخنه وارد میکردند. ما بچههای پرورشیافته در خانوادههای سنتی اندکاندک از اندیشههای نو متأثر و متحول میشدیم.»
#محمدهادی_محمدی و #رضی_هیرمندی
در کتابک بخوانید:
🔹کودکی از سیستان، گفتوگو با رضی ه…
Showing the 12 most recent of 41 posts we hold for @koodaki_org. 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
@koodaki_org edited 2 posts 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
2 September 2026
Most recent edit
2 September 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 12 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.
درآمد از تخصص | محمدرضا شایگان | به شیوه شزوما @shezooma_1 · 22,149 Telegram ranks this channel #21 of 79 here — alongside 78 others — read 20 September 2026
فرهنگ موسیقی @Farhang_Mosighi · 18,725 Telegram ranks this channel #63 of 80 here — alongside 79 others — read 5 October 2026
This channel appears in 2 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 14 November 2026 — this
entry's latest reading, not the date you are reading this.
“ادبیات کودکان” (@koodaki_org), 12,232 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/koodaki_org.
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.