Channel
@IDSchools
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Telegram's recommendations · Cite this entry
13,077subscribers
+28 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001179375032 |
|---|---|
| Type | Channel |
| Username | @IDSchools |
| Created | 17 July 2018 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/IDSchools |
Education — 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 10 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 why it has no browse page of its own yet.
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.
Posts published here appear word for word on 3 other registered channels. They sit inside a group of 7 channels that share the same post bodies with each other. 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @IDS_AI_ML/39426 Dec 2025, 13:32 UTC | @IDSchools/4012 · this entry26 Dec 2025, 14:31 UTC | 1.00 | 59 minutes |
| @IDS_AI_ML/39527 Dec 2025, 07:35 UTC | @IDSchools/4013 · this entry27 Dec 2025, 08:32 UTC | 1.00 | 57 minutes |
| @IDS_AI_ML/39627 Dec 2025, 13:31 UTC | @IDSchools/4014 · this entry27 Dec 2025, 15:31 UTC | 1.00 | 2.0 hours |
| @IDSchools/4018 · this entry31 Jul 2026, 13:29 UTC | @IDS_AI_ML/40531 Jul 2026, 14:59 UTC | 1.00 | 1.5 hours |
| @IDS_Med/52021 Dec 2025, 14:31 UTC | @IDSchools/4009 · this entry22 Dec 2025, 15:31 UTC | 1.00 | 25 hours |
| @IDS_Med/52122 Dec 2025, 14:31 UTC | @IDSchools/4010 · this entry23 Dec 2025, 15:31 UTC | 1.00 | 25 hours |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @IDS_AI_ML | 6 (6/6 hand-verifiable sample passed) | 1.00 | 75 minutes | even |
| @IDS_Med | 5 (5/5 hand-verifiable sample passed) | 1.00 | 6.0 hours | @IDS_Med (3–2) |
| @IDS_Psy | 7 (7/7 hand-verifiable sample passed) | 1.00 | 67 minutes | this entry (5–2) |
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 6 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 20 comparable posts for this entry, running 30 September 2025 to 2 August 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.
Across the whole group of 7, the earliest publisher we hold is @IDS_Math. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_mutual · 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.
This channel’s posts match, word for word or near enough, posts on 6 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 06:01 | 13,077 | -16 |
| 17 Sept 2026, 05:20 | 13,093 | -4 |
| 11 Sept 2026, 15:38 | 13,097 | -4 |
| 8 Sept 2026, 22:41 | 13,101 | -1 |
| 5 Sept 2026, 14:40 | 13,102 | -3 |
| 3 Sept 2026, 13:57 | 13,105 | -4 |
| 2 Sept 2026, 06:53 | 13,109 | -1 |
| 1 Sept 2026, 07:37 | 13,110 | -1 |
| 31 Aug 2026, 08:36 | 13,111 | -3 |
| 29 Aug 2026, 13:53 | 13,114 | -2 |
| 28 Aug 2026, 11:55 | 13,116 | +3 |
| 27 Aug 2026, 08:37 | 13,113 | -3 |
| 26 Aug 2026, 08:58 | 13,116 | +1 |
| 25 Aug 2026, 09:43 | 13,115 | +3 |
| 24 Aug 2026, 12:18 | 13,112 | +9 |
| 22 Aug 2026, 16:29 | 13,103 | +3 |
| 21 Aug 2026, 06:07 | 13,100 | +6 |
| 20 Aug 2026, 06:04 | 13,094 | +1 |
| 19 Aug 2026, 06:24 | 13,093 | -2 |
| 18 Aug 2026, 09:22 | 13,095 | first reading |
20 posts held, back to 30 September 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 49 pages 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 2 August 2026. An engagement rate over an empty window would be a number about nothing.
💖طرح پژوهشی و تربیت پژوهشگر در نوروساینس و علوم شناختی ❤️ با پشتیبانی 50 استاد و 100 منتور ◀️نحوه ثبت نام در طرح پژوهشی: https://t.me/IDS_Neuro/1529 ‼️همراه با گواهی شرکت در دوره به انگلیسی 🔣کسب اطلاعات بیشتر: @InterdisciplinarySchools2 🚀|@IDSchools||کانال اصلی| 🚀|@IDS_Neuro||کانال نوروساینس و علوم شناختی|
💖تنها دو روز به شروع طرح پژوهشی و تربیت پژوهشگر در نوروساینس و علوم شناختی فرصت باقی است!!! ❤️ با پشتیبانی 50 استاد و 100 منتور ◀️نحوه ثبت نام در طرح پژوهشی: https://t.me/IDS_Neuro/1529 ‼️همراه با گواهی شرکت در دوره به انگلیسی 🔣کسب اطلاعات بیشتر: @InterdisciplinarySchools2 🚀|@IDSchools||کانال اصلی| 🚀|@IDS_Neuro||کانال نوروساینس و علوم شناختی|
🔖🔖🔖🔖🔖 💥«مجموعه علمی و پژوهشی مدارس میان رشته ای با همکاری 50 استاد از دانشگاه های گوتینگن و DPZ آلمان،پنسیلوانیا آمریکا،علوم پزشکی های تهران،شهید بهشتی و ایران،دانشگاه های تهران، صنعتی امیرکبیر و ...» برگزار می کند: 🚨«طرح پژوهشی و تربیت پژوهشگر در نوروساینس و علوم شناختی »🚨 👤اساتید ارائه های آغازین: 🔹مسعود کارگر،دانشگاه گوتینگن آلمان 🔹معین اسقایی،مرکز جانورشناسی آلمان 🔹گلناز بغدادی،دانشگاه صنعتی امیرکبیر 🔹آرش زار…
🚩🚩🚩🚩🚩🚩🚩🚩🚩 💥 آغاز ثبت نام طرح تربیت پژوهشگر 5 در نوروساینس و علوم شناختی با حضور 50 استاد هیات علمی از دانشگاه های معتبر داخلی و خارجی، با همراهی 100 منتور و ظرفیت 100 تیم پژوهشی- مخصوص همه رشته ها و مقاطع☄️ ✨مجموعه علمی و پژوهشی مدارس میان رشته ای با افتخار اعلام می دارد که ثبت نام طرح تربیت پژوهشگر در نوروساینس و علوم شناختی 5 با حضور 50 استاد از اساتید برجسته از خارج و داخل کشور در حوزه های مختلف نوروساینس و علوم…
🚩 اخبار چاپ مقالات تیمهای پژوهشی مجموعه علمی و پژوهشی مدارس میان رشته ای در حوزه نوروساینس و علوم شناختی 💟چاپ مقاله تیم شماره 53 در ژورنال دانشگاه کمبریج!!! 💥مقاله تیم شماره 53، از تیمهای پژوهشی سری دوم طرح پژوهشی نوروساینس و علوم شناختی در ژورنال judgment and decision making وابسته به دانشگاه کمبریج به چاپ رسید. این تیم ذیل کارگروه نوروساینس شناختی فعالیت خود را به سرانجام رسانیده است. 🌹این تیم با هدایت آقای دکتر…
✨ معرفی دوره های زمستانی در یک نگاه- سومین دوره ⌛عنوان دوره: «"آشنایی با زبان برنامه نویسی متلب و مصورسازی دیتا برای غیربرنامه نویسان؛ با تاکید بر نوروساینس و علوم شناختی» 🔜 زمان برگزاری جلسه اول: یکشنبه، 7 دی ساعت 17 🔸سرفصل جلسات: 1️⃣ هفته اول:مقدمه ای بر متلب و کاربردها 2️⃣ هفته دوم: آشنایی با محیط متلب و مفاهیم پایه برنامه نویسی 3️⃣ هفته سوم: عملیات پایه در متلب 4️⃣ هفته چهارم: ماتریسها و عملیات ماتریسی 5️⃣ ه…
🟣 معرفی جلسات 12 گانه دوره «آشنایی با زبان برنامه نویسی متلب و مصورسازی دبتا برای غیربرنامه نویسان؛ با تاکید بر نوروساینس و علوم شناختی »- دوره مجازی 💖شروع دوره: از یکشنبه، 7 دی ماه ساعت 17 7️⃣هفته (جلسه) هفتم: ترسیم و مصورسازی داده ها 🗣محتوای این جلسه: هیچ علمی بدون تصویرسازی به درستی فهم نمیشود. در این جلسه یاد میگیرید چگونه دادهها و سیگنالها را در MATLAB بهصورت گرافیکی نمایش دهید. با توابع plot، scatter …
🟣 معرفی جلسات 12 گانه دوره «آشنایی با زبان برنامه نویسی متلب و مصورسازی دبتا برای غیربرنامه نویسان؛ با تاکید بر نوروساینس و علوم شناختی »- دوره مجازی 💖شروع دوره: از یکشنبه، 7 دی ماه ساعت 17 1️⃣هفته (جلسه) اول: مقدمه ای بر متلب و کاربردها 🗣محتوای این جلسه: متلب از پرکاربردترین نرم افزارها و زبان های برنامه نویسی است. حضور پکیج های متعدد که هر کدام در راستای انجام وظیفه یا ماموریتی در این پلت فرم طراحی شده است، با…
‼️ یادآوری- شروع دوره 1️⃣جلسه اول دوره «دیپلم جامع نوروساینس بر اساس کتاب اریک کندل- بخش چهارم» 💖عنوان جلسه اول: تنظیم الگوی سیستم عصبی ⏳زمان برگزاری جلسه اول: پنجشنبه، 4 دی ساعت 17 👤 دکتر لیلا کریمی زندی، دانش آموخته دکتری نوروساینس از دانشگاه علوم پزشکی تهران و عضو هیات علمی دانشگاه ✅ پنجشنبه ها، ساعت 17 تا 19 👈نحوه ثبت نام: https://t.me/IDS_Med/501 🟢کسب اطلاعات بیشتر: @interdisciplinaryschools2 🚀|@IDScho…
🟣 معرفی جلسات 12 گانه دوره «دیپلم جامع کندل بر اساس کتاب اریک کندل- بخش چهارم»- دوره مجازی 💖 شروع دوره: از پنجشنبه این هفته، 4 دی ماه ساعت 17 7️⃣هفته (جلسه) هفتم: تمایز جنسی سیستم عصبی 🗣محتوای این جلسه: در این فصل، ابتدا پایههای جنینی تمایز جنسی مرور میشوند و سپس به تفاوتهای رفتاری بین دو جنس پرداخته میشود، به ویژه آن تفاوتهایی که پایههای نوروبیولوژیکی مشخصی دارند. این تفاوتها شامل واکنشهای فیزیولوژیک (ما…
🟣 معرفی جلسات 12 گانه دوره «دیپلم جامع کندل بر اساس کتاب اریک کندل- بخش چهارم»- دوره مجازی 💖شروع دوره: از پنجشنبه این هفته، 4 دی ماه ساعت 17 1️⃣هفته (جلسه) اول: تنظیم الگوی سیستم عصبی 🗣محتوای این جلسه: این فصل به تنوع شگفتانگیز نورونها و سلولهای گلیا در سیستم عصبی مهرهداران میپردازد و نشان میدهد که چگونه انواع مختلف نورونها در موقعیتهای مشخص شکل میگیرند، مورفولوژیهای متفاوت پیدا کرده و با سلولهای هدف …
🔖🔖🔖🔖🔖 🔺«دپارتمان هوش مصنوعی مجموعه علمی و پژوهشی مدارس میان رشته ای» برگزار می کند: 🧠 دوره «آشنایی با زبان برنامه نویسی متلب و مصورسازی دیتا برای غیربرنامه نویسان؛ با تاکید بر نوروساینس و علوم شناختی»-دوره مجازی ✨همراه با رفع اشکال و پشتیبانی در گروه تلگرامی ⬅️ با حضور: 👤دکتر گلناز بغدادی، عضو هیات علمی دانشگاه صنعتی امیرکبیر 👤پریا جافرپور، منتور ارشد دپارتمان سیگنال، مدارس میان رشته ای 👤مهسا محمدی، منتور دپارتم…
Showing the 12 most recent of 20 posts we hold for @IDSchools. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 41 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“✨مدارس میان رشته ای” (@IDSchools), 13,077 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/IDSchools.
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.