Telegram RegisterThe public register of Telegram

Channel

[مطالعات‌کودک‌وطبیعت]

@cnstudy

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

2,072subscribers

+21 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001079905616
TypeChannel
Username@cnstudy
Created27 November 2016measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/cnstudy

Topic

Parenting & family — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 85% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (3 of the pairs behind the counts below)
Posted firstThenOverlapGap
@cnstudy/772 · this entry20 Jun 2026, 15:53 UTC@NobangAndisheh/81321 Jun 2026, 18:52 UTC1.0027 hours
@NobangAndisheh/8176 Jul 2026, 06:51 UTC@cnstudy/777 · this entry6 Jul 2026, 11:17 UTC1.004.4 hours
@cnstudy/763 · this entry7 Jan 2026, 15:31 UTC@DamounNatureSchool/5587 Jan 2026, 23:11 UTC1.007.7 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@NobangAndisheh5 (5/5 hand-verifiable sample passed)1.0016 hoursthis entry (41)
@DamounNatureSchool5 (5/5 hand-verifiable sample passed)1.0023 hoursthis entry (41)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 29 November 2025 to 30 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @cnstudy — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

2,0502,0722,0616 August 2026 — 2,051 subscribers6 August 2026 — 2,051 subscribers6 August 2026 — 2,050 subscribers9 August 2026 — 2,067 subscribers12 August 2026 — 2,072 subscribers6 August 202612 August 2026
5 measurements spanning 6 days, net +21. 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 2,047–2,075 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 13:252,072+5
9 Aug 2026, 19:212,067+17
6 Aug 2026, 20:122,050-1
6 Aug 2026, 06:202,051no change
6 Aug 2026, 05:482,051first reading

Engagement

20 posts held, back to 18 November 2025the 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.

ERR · 30 days
65.3%
avg views ÷ 2,072 subscribers
Avg views / post
1,350
4 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 20 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
WindowRolling 30 days · latest post in window 30 July 2026
Posts held20 (18 November 202530 July 2026)
Views total5,416
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:05 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

Video runtime
2m 54s
Average length
2m 54s

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.

Recent posts

30 Jul 2026, 06:57 UTC606 viewsread 7 August 2026

▪️پیش از آنکه برای فرزندتان کلاس تازه‌ای ثبت‌نام کنید، این گفت‌وگو را بخوانید ▫️هادی صمدی؛ پژوهشگر حوزه تکامل و فلسفه @evophilosophy اگر پدر یا مادر هستید و به فکر ثبت‌نام فرزند خود در کلاس‌های آموزشی فوق‌برنامه در تابستان هستید، اندکی برای خواندن گفت‌وگوی محمدرضا سرکارآرانی با عبدالحسین وهاب‌زاده وقت بگذارید. ارزش این گفت‌وگو در نقد آموزش رسمی نیست، بلکه در عرضه‌ی راهکارهایی‌ست که به‌خلاف تصور، نه هزینه‌ای برای خ

23 Jul 2026, 05:46 UTC≈1,760 viewsread 7 August 2026
File

مدرسه طبیعت؛ نقد طبیعت مدرسه

23 Jul 2026, 05:46 UTC≈1,770 viewsread 7 August 2026
Photo

▪️مدرسه طبیعت؛ نقد طبیعت مدرسه ▫️مصاحبه دکتر محمدرضا سرکار آرانی با عبدالحسین وهاب‌زاده ▫️روزنامه شرق | پنج شنبه یکم مرداد ۱۴۰۵ ▫️متن مصاحبه👇 @cnstudy | مطالعات‌کودک‌وطبیعت

22 Jul 2026, 08:34 UTC≈1,280 viewsread 7 August 2026
Video

▫️در ستایش حیرت وقت خوب مصائب مستندی که نامش یکی از مجموعه‌های شعر "احمد‌رضا احمدی" است به ویژگی های شخصیتی و کاری این شاعر بزرگ معاصر می‌پردازد‌. ساختار فیلم شامل گفتگوهای احمد طالبی‌نژاد، حمیدرضا صدر‌، رضا کیانیان و... با احمد‌رضا احمدی است و همچنین نظرات آیدین آغداشلو، مسعود کیمیایی‌، عباس کیا‌رستمی‌، هنرمندان و اساتید دیگر است که رو به دوربین بیان می‌شود. ▪️تهیه کننده:ناصر صفاریان #حیرت @cnstudy | مطالعات‌کودک

13 Jul 2026, 06:07 UTC≈2,090 viewsread 7 August 2026
Photo

▪️کودکی و حس اعجاب و شگفتی « بهترین راه برایِ درکِ زندگی، نه تحلیلِ آن، که تماشایِ آن با چشمانِ یک کودک است. کودکان، چیزی را که بزرگسالانِ “عاقل” از دست داده‌اند، درک می‌کنند: اینکه حقیقتِ دنیا، نه در منطق، که در اعجاب و شگفتیِ لحظه‌هایِ گذراست.» ▫️گابریل گارسیا مارکز @cnstudy | مطالعات‌کودک‌وطبیعت

6 Jul 2026, 11:17 UTC834 viewsread 7 August 2026
Forwarded from @womeninstituteofIranPhoto

🌿 کودکان، تجربه طبیعت و آینده حفاظت از آب آیا تجربه مستقیم طبیعت در دوران کودکی می‌تواند نسل آینده را به حافظان آب و محیط‌زیست تبدیل کند؟ در چهارمین نشست از سلسله نشست‌های تخصصی حوزه آب، به بررسی نقش تجربه‌های طبیعت‌محور در شکل‌گیری نگرش، ارزش‌ها و رفتارهای مسئولانه کودکان نسبت به آب و محیط‌زیست خواهیم پرداخت. 🎙 سخنران: مهندس مژگان احمدیه عضو هیئت مدیره بنیاد کودک و طبیعت و انجمن حمایت از حقوق کودکان فعال حوزه‌ی کو

4 Jul 2026, 11:40 UTC≈2,200 viewsread 7 August 2026
Photo

▪️راه و رسم پرورش یک طبیعت‌شناس ▫️ادوارد ویلسون «از آزادی در کاوش، شورِ آموختن می‌روید. از دانشی که به خواست و اراده‌ی خودِ انسان کسب شود، عطشِ دانستنِ بیشتر سرچشمه می‌گیرد. و از چیره شدن بر دنیای نو و زیبایی که چشم‌به‌راهِ هر کودک است، اعتمادبه‌نفس زاده می‌شود. بالندگیِ یک طبیعت‌شناس، مانند پرورش یک موسیقی‌دان یا ورزشکار است؛ سرآمدی برای افراد صاحب استعداد، لذتی ناب و همیشگی برای بقیه افراد و موهبتی ارزشمند برای ج

28 Jun 2026, 17:53 UTC≈1,260 viewsread 7 August 2026
Photo

▪️کودکی یعنی نبوغ،حس شگفتی، خلاقیت،پژوهندگی،شور بالندگی،کشف‌وشهود . داروین در مقاله‌ای درباب زندگی‌نامۀ خود می‌نویسد: «وقتی ترک تحصیل کردم، هوشم به اندازۀ سن خودم بود، نه بالاتر و نه پایین‌تر. گمانم از نظر معلمان و پدرم پسری بسیار معمولی بودم، حتی شاید کمی پایین‌تر از معیار ... حالا که به گذشته و شخصیت خودم در دوران مدرسه فکر می‌کنم، تنها خصوصیتی که شاید در آن دوران نویدبخش آینده‌ای خوب بود این بود که دوست داشتم س

20 Jun 2026, 15:53 UTC958 viewsread 7 August 2026
Forwarded from @DamounNatureSchoolPhoto

نوجوانان امروز در جهانی با تغییرات سریع زندگی می‌کنند؛ جهانی با کاهش فعالیت بدنی، فاصله از طبیعت، افزایش اضطراب و تنهایی، و آینده‌ای نامطمئن با نقش پررنگ هوش مصنوعی. اما مسئله فقط فناوری نیست. حتی اگر استفاده از گوشی محدود شود، این پرسش باقی می‌ماند: چه تجربه‌هایی باید جایگزین شوند؟ نوجوانان برای رشد سالم به تجربه کردن، ساختن، دیده شدن، تعلق داشتن، اثرگذاری، دوستی و گفت‌وگوی واقعی نیاز دارند. در این نشست، دکتر هادی ص

18 Jun 2026, 08:26 UTC≈3,340 viewsread 7 August 2026
File

صفحه‌های اولیه کتاب پابرهنه و متعادل پیشگفتار | مقدمه | فصل اول @cnstudy| مطالعات‌کودک‌وطبیعت

18 Jun 2026, 05:53 UTC≈4,680 viewsread 7 August 2026
Photo

بزودی... ▪️پابرهنه و متعادل چگونه بازی آزاد بدون محدودیت در فضای باز کودکان را نیرومند، لایق و خودبسنده می‌کند ▫️آنجلا هانسکام ▫️ترجمه‌ی مهدی غلامی و محمد عظیمی ▫️نقاشی‌های علی نورپور ▪️بنیاد کودک‌وطبیعت 📍مطالعه صفحه‌های اولیه کتاب👇 @cnstudy| مطالعات‌کودک‌وطبیعت

9 Jun 2026, 05:06 UTC≈1,430 viewsread 7 August 2026

{ادامه👆} جامعه‌ی سعادتمند جامعه‌یی‌ست که قدر کودکی می‌داند و آنرا همچون گوهری گرانبها تا بزرگسالی حفظ می‌کند.اگر تا به آخر کودک بمانیم سعاتمندیم و الا که زندگی جز تکرار مکررات چه می‌تواند باشد؟ از آن زمان که خصائص کودکی را ترک می‌کنیم تباهی آغاز می‌شود:تباهی خود و پیرامونمان.دیگر طبیعت آنطور که در کودکی بود ،بخشی جدایی‌ناپذیر از وجود ما نیست.چیزیست بیرون از ما ،بیگانه و ناشناخته ؛ کالا‌ییست برای مصرف، چیزیست که باید

Showing the 12 most recent of 20 posts we hold for @cnstudy. 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

Citation-graph rank — 39,037 of 1,160,990entries 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.

Forward network

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 15 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“[مطالعات‌کودک‌وطبیعت]” (@cnstudy), 2,072 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/cnstudy.

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.