📷 #گزارش_تصویری 🎯 سلسلهنشستهای تخصصی «مردم و مدرسه» | نشست چهارم 👤 با حضور دکتر فاطمه قاسمپور 🏷 اندیشکده محیا در اینستاگرام | بله | تلگرام | ایتا
👌1👍1

Channel
@mahya_thinktank
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
91subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002663490027 |
|---|---|
| Type | Channel |
| Username | @mahya_thinktank |
| Description | مسئلهشناسی، حکمرانی و یاریگری آموزش و تربیت راه ارتباطی : @mahyatt_admin |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/mahya_thinktank |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 14:02 | 91 | no change |
| 7 Aug 2026, 04:03 | 91 | first reading |
10 posts held, back to 28 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 28 July 2026 |
|---|---|
| Posts held | 10 (28 June 2026 – 28 July 2026) |
| Views total | 115 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 14:02 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.
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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.
20 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 40.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 40.0% | |
| 👌 | 6 | 30.0% | |
| 👍 | 6 | 30.0% |
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 7 of the 10 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 20reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 28 June 2026 to 28 July 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.
📷 #گزارش_تصویری 🎯 سلسلهنشستهای تخصصی «مردم و مدرسه» | نشست چهارم 👤 با حضور دکتر فاطمه قاسمپور 🏷 اندیشکده محیا در اینستاگرام | بله | تلگرام | ایتا
👌1👍1
🔍 سلسله نشستهای تخصصی «مردم و مدرسه» در ادامه سلسله نشستهای تخصصی اندیشکده محیا با موضوع «امکانسنجی و بررسی چالشها، فرصتها، الزامها و پیشنیازهای مشارکت خانوادهها در اداره مدارس»، اینبار میزبان دکتر فاطمه قاسمپور خواهیم بود. 👤 چرا دکتر فاطمه قاسمپور؟ دکتر قاسمپور، عضو هیئت علمی پژوهشکده زن و خانواده، دانشآموخته فلسفه و پژوهشگر حوزه سیاستگذاری خانواده است. ایشان علاوه بر فعالیتهای علمی و پژوهشی، تجربه…
👌2
📚 اندیشکده محیا با همکاری خانهٔ اندیشهورزان برگزار میکند: 🎯 سلسله نشستهای تخصصی مردم و مدرسه 🔍 امکانسنجی و بررسی چالشها، فرصتها، الزامها و پیشنیازهای مشارکت خانوادهها در اداره مدارس 👤 نشست چهارم با حضور: 🎓 دکتر فاطمه قاسمپور عضو هیات علمی پژوهشکده زن و خانواده و مسئول کمیته زنان و خانواده مجمع تشخیص مصلحت نظام 🗓 یکشنبه 4 مردادماه - ساعت ۱۷ الی ۱۹ 📍 خانه اندیشهورزان - کافه غربی 📝 ظرفیت محدود | جهت ش…
👌1
بخش دوم در ادامه، دو الگوی #حکمرانی_مشارکتی و #حکمرانی_تقسیمشده بهعنوان دو چارچوب متفاوت برای تحلیل مشارکت خانوادهها معرفی شد. در الگوی نخست، تمرکز بر فراهم کردن امکان مشارکت برای همه افراد و ذینفعان است؛ در حالی که الگوی دوم، مشارکت را در گرو بازتعریف سهم و اختیارات نهادهای مختلف در تصمیمگیری میداند. با تطبیق این چارچوبها بر مسئله #خانواده_و_مدرسه، این پرسش مطرح شد که خانوادهها در ساختار کنونی آموزش و پرورش…
📌 سومین نشست از سلسلهنشستهای «مردم و مدرسه» با موضوع «مشارکت خانواده در اداره مدرسه از منظر حکمرانی»، با همّت اندیشکده محیا برگزار شد. در این نشست، دکتر عبدالحسینزاده، عضو هیئت علمی دانشگاه علم و صنعت ایران و معاون سابق دفتر مطالعات حکمرانی مرکز پژوهشهای مجلس، ظرفیتهای ادبیات حکمرانی برای بازاندیشی در مسئله مشارکت خانوادهها در نظام آموزشی را تبیین کرد. ▪️ در این نشست، #حکمرانی بهعنوان رویکردی متمایز از الگوی …
📷 #گزارش_تصویری 🎯 سلسلهنشستهای تخصصی «مردم و مدرسه» | نشست سوم 👤 با حضور دکتر محمد عبدالحسینزاده 🏷 اندیشکده محیا در اینستاگرام | بله | تلگرام | ایتا
❤1👍1
📚 اندیشکده محیا با همکاری خانهٔ اندیشهورزان برگزار میکند: 🎯 سلسله نشستهای تخصصی مردم و مدرسه 🔍 امکانسنجی و بررسی چالشها، فرصتها، الزامها و پیشنیازهای مشارکت خانوادهها در اداره مدارس 👤 نشست سوم با حضور: 🎓 دکتر محمد عبدالحسینزاده عضو هیئت علمی دانشگاه علم و صنعت 🗓 یکشنبه ۲۱ تیرماه - ساعت ۱۷ الی ۱۹ 📍 خانه اندیشهورزان 📝 ظرفیت محدود | جهت شرکت در نشست، ثبتنام کنید. 🏷 اندیشکده محیا در اینستاگرام | بله…
❤6👌1
🎥 آیندهپژوهی و آیندۀ مشارکت خانواده در مدرسه در این بخش از نشست، دکتر کوهی، عضو هیئت علمی دانشگاه تهران و دانشآموخته دکتری آیندهپژوهی، توضیح میدهد که آیندهپژوهی، پیشبینی آینده نیست؛ بلکه تلاشی است برای اندیشیدن به «آیندههای ممکن». تصمیمهای امروز ما، بر پایه تصوری است که از مفاهیمی مانند «مدرسه» و «خانواده» داریم. اما اگر این مفاهیم در آینده دستخوش تحول شوند، آیا برنامهریزیهای امروز همچنان کارآمد خواهند بو…
بخش دوم ▪️در ادامه، تجربه تاریخی #انجمن_اولیا_و_مربیان بهعنوان یکی از مهمترین ظرفیتهای مشارکت خانوادهها مورد توجه قرار گرفت. مرور قوانین و اسناد نشان میدهد که این نهاد از ابتدا با هدف مشارکت فکری، فرهنگی و تربیتی خانوادهها شکل گرفته است؛ هرچند در بسیاری از موارد، کارکرد آن به دریافت کمکهای مالی تقلیل یافته است. با این حال، وجود نمونههای موفق در برخی مدارس و مناطق کشور نشان میدهد که این ظرفیت همچنان قابلیت …
👍3👌1
📌 دومین نشست از سلسلهجلسات «مردم و مدرسه» با موضوع «مشارکت خانواده در اداره مدرسه از منظر سیاستگذاری عمومی و حکمرانی»، به همّت اندیشکده محیا و همکاری خانه اندیشهورزان برگزار شد. ▪️در این نشست، مسئله مشارکت خانوادهها در مدرسه نه صرفاً بهعنوان یک موضوع آموزشی، بلکه بهمثابه یک مسئله #حکمرانی مورد بررسی قرار گرفت. بر این اساس، رابطه خانواده و مدرسه پدیدهای چندبعدی تلقی شد که فهم و حل آن نیازمند بهرهگیری همزمان …
❤1👍1
Showing the 10 most recent of 10 posts we hold for @mahya_thinktank. 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 — 874,839 of 1,565,402entries 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.
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.
Named by 1 registered channel — 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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“اندیشکده محیا” (@mahya_thinktank), 91 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/mahya_thinktank.
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.