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Channel

روانشناسی و علوم شناختی - مدارس میان‌رشته‌ای

@IDS_Psy

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

1,860subscribers

-7 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-1002016118938
TypeChannel
Username@IDS_Psy
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/IDS_Psy

Topic

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 11 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.

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 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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@IDS_Psy/458 · this entry1 Oct 2025, 18:34 UTC@IDS_Bio/5211 Oct 2025, 20:25 UTC1.001.8 hours
@IDS_Psy/459 · this entry27 Nov 2025, 14:31 UTC@IDS_Bio/52228 Nov 2025, 15:32 UTC1.0025 hours
@IDS_Psy/489 · this entry31 Jul 2026, 15:29 UTC@IDS_Bio/55631 Jul 2026, 17:59 UTC1.002.5 hours
@IDS_Psy/494 · this entry2 Aug 2026, 11:14 UTC@IDS_Bio/5602 Aug 2026, 12:14 UTC1.0060 minutes
@IDS_Math/3701 Oct 2025, 17:32 UTC@IDS_Psy/458 · this entry1 Oct 2025, 18:34 UTC1.0062 minutes
@IDS_Psy/459 · this entry27 Nov 2025, 14:31 UTC@IDS_Math/37128 Nov 2025, 17:32 UTC1.0027 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@IDS_Bio5 (5/5 hand-verifiable sample passed)1.002.5 hoursthis entry (41)
@IDS_Math5 (5/5 hand-verifiable sample passed)1.0062 minutesthis entry (41)
@IDSchools7 (7/7 hand-verifiable sample passed)1.0067 minutes@IDSchools (52)

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 4 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 21 comparable posts for this entry, running 1 October 2025 to 5 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.

  • 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 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_copy · 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 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.

Growth

1,8601,8671,863.56 August 2026 — 1,867 subscribers6 August 2026 — 1,866 subscribers6 August 2026 — 1,866 subscribers9 August 2026 — 1,861 subscribers11 August 2026 — 1,860 subscribers6 August 202611 August 2026
5 measurements spanning 6 days, net -7. 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 1,859–1,868 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 21:031,860-1
9 Aug 2026, 01:411,861-5
6 Aug 2026, 06:471,866no change
6 Aug 2026, 05:221,866-1
6 Aug 2026, 03:191,867first reading

Engagement

21 posts held, back to 1 October 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
16.1%
avg views ÷ 1,860 subscribers
Avg views / post
299
3 posts measured
Reaction rate
0.337%
reactions ÷ views · ER floor
Posts in window
3
of 21 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. It is computed over the 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held21 (1 October 20255 August 2026)
Views total896
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:24 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
5m 19s
Average length
5m 19s

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

14 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 78.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1178.6%
👍214.3%
👏17.14%

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 21 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 1 October 2025 to 5 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.

Recent posts

5 Aug 2026, 11:38 UTC≈151 viewsread 6 August 2026
Photo

📚 معرفی کانون کتاب و کتابخوانی دانشگاه تبریز کانون کتاب و کتابخوانی دانشگاه تبریز، فضایی فرهنگی و دانشجویی است که با هدف ترویج فرهنگ مطالعه، گسترش نگاه انتقادی به کتاب و ایجاد پیوندی عمیق‌تر میان دانشجویان و جهان اندیشه فعالیت می‌کند. در این کانون تلاش می‌کنیم کتاب فقط یک منبع درسی نباشد، بلکه به تجربه‌ای زنده، گفت‌وگومحور و الهام‌بخش تبدیل شود. برگزاری نشست‌های کتاب‌خوانی، جلسات نقد و بررسی، برنامه‌های خلاقانه فره

2 Aug 2026, 11:14 UTC297 views1 reactionsread 7 August 2026
File

💖شروع طرح پژوهشی و تربیت پژوهشگر در نوروساینس و علوم شناختی از امروز یکشنبه ساعت 17 ❤️ 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|

1

31 Jul 2026, 15:29 UTC448 viewsread 7 August 2026
File

💖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|

1 Jul 2026, 12:29 UTC805 views5 reactionsread 7 August 2026
Forwarded from @IDS_Neuro

🚩🚩🚩🚩🚩🚩🚩🚩🚩 💥 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

5

30 Jun 2026, 18:42 UTC695 views2 reactionsread 7 August 2026
Forwarded from @IDS_Neuro

🚩 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

1👍1

9 Dec 2025, 08:34 UTC≈1,470 viewsread 7 August 2026

‼️ یادآوری- شروع دوره 1️⃣جلسه اول دوره «در مسیر آگاهی» 🔣عنوان جلسه اول: مقدمه ای بر روان-الگوها ⏳زمان برگزاری جلسه اول: چهارشنبه، 19 آذر ساعت 17 👤 دکتر الهام اسلامیان، روانشناس و مدرس دانشگاه ✅ چهارشنبه ها، ساعت 17 تا 18:30 👈نحوه ثبت نام: https://t.me/IDS_Psy/462 🟢کسب اطلاعات بیشتر: @interdisciplinaryschools2 🚀|@IDSchools||کانال اصلی| 🚀|@IDS_Psy||کانال روانشناسی و علوم شناختی|

8 Dec 2025, 13:31 UTC≈1,160 viewsread 7 August 2026
Video

💥 توضیحات استاد دوره "در مسیر آگاهی" درباره این دوره 🌹شروع دوره: چهارشنبه این هفته، 19 آذر ساعت 17 ✨با حضور: 👤دکتر الهام اسلامیان، روانشناس و مدرس دانشگاه 💖 ارزش ریالی دوره دو میلیون تومان و مبلغ ثبت نام برای مجموعه مدارس میان رشته ای 600 هزار تومان است. ⬇️ نحوه ثبت نام در این دوره: https://t.me/IDS_Psy/462 ⌛ سرفصل های این دوره: https://t.me/IDS_Psy/464 🔴 همراه با گواهی شرکت در دوره به انگلیسی 🔣 کسب اطلاعات

6 Dec 2025, 13:30 UTC≈1,100 viewsread 7 August 2026

🟣 معرفی جلسات 8 گانه دوره «در مسیر آگاهی»- دوره مجازی 8️⃣هفته (جلسه هشتم): ملاقات در باغ؛ گریزی به مفهوم عشق 🗣محتوای این جلسه: _ رسیدن به ایستگاه پنجم؛ ملاقات در باغ _ مفهوم آنیما و آنیموس(بعد زنانگی و مردانگی شخصیت) _ گریزی به مفهوم عشق ✨با حضور: 👤دکتر الهام اسلامیان، روانشناس و مدرس دانشگاه ⬇️ نحوه ثبت نام در این دوره: https://t.me/IDS_Psy/462 ⌛ سرفصل های این دوره: https://t.me/IDS_Psy/464 🔴 همراه با گوا

5 Dec 2025, 14:00 UTC843 viewsread 7 August 2026

🟣 معرفی جلسات 8 گانه دوره «در مسیر آگاهی»- دوره مجازی 7️⃣هفته (جلسه هفتم): دوراندیشی یا شتاب زدگی 🗣محتوای این جلسه: _ ایستگاه چهارم؛ شتاب‌زدگی قبل از موعد _ برای یک پادشاه، همه چیز اعتبار اوست _ دوراندیشی ✨با حضور: 👤دکتر الهام اسلامیان، روانشناس و مدرس دانشگاه ⬇️ نحوه ثبت نام در این دوره: https://t.me/IDS_Psy/462 ⌛ سرفصل های این دوره: https://t.me/IDS_Psy/464 🔴 همراه با گواهی شرکت در دوره به انگلیسی 🔣 کسب

4 Dec 2025, 08:00 UTC827 viewsread 7 August 2026

🟣 معرفی جلسات 8 گانه دوره «در مسیر آگاهی»- دوره مجازی 5️⃣هفته (جلسه پنجم): خاکسترنشینی و تمرین تاب آوری 🗣محتوای این جلسه: _ گذر از ایستگاه سوم: خاکستر نشینی _تمرین تاب‌آوری (گاهی در مسیر زندگی، جاده مه‌آلود می‌شود؛ آنچنان که توان دیدن نزدیک‌ترین چشم‌انداز را نداریم: در این شرایط بهترین انتخاب کدام است؟) ✨با حضور: 👤دکتر الهام اسلامیان، روانشناس و مدرس دانشگاه ⬇️ نحوه ثبت نام در این دوره: https://t.me/IDS_Psy/4

3 Dec 2025, 14:00 UTC707 viewsread 7 August 2026

🟣 معرفی جلسات 8 گانه دوره «در مسیر آگاهی»- دوره مجازی 4️⃣هفته (جلسه چهارم) : پرسشگری؛ چرایی پلی به سوی چگونگی 🗣محتوای این جلسه: _ اهمیت پرسشگری؛ پرسشگری آغاز حرکت _ پرداختن به چرایی‌ها؛ اگر چرایی زندگی مشخص باشد، چگونگی آن‌را می‌توان یافت _ تمرکز _ پاکسازی؛ (پاکسازی هر آنچه در او غش باشد) ✨با حضور: 👤دکتر الهام اسلامیان، روانشناس و مدرس دانشگاه ⬇️ نحوه ثبت نام در این دوره: https://t.me/IDS_Psy/462 ⌛ سرفصل های

3 Dec 2025, 07:53 UTC706 viewsread 7 August 2026

🟣 معرفی جلسات 8 گانه دوره «در مسیر آگاهی»- دوره مجازی 3️⃣هفته (جلسه سوم) : زخم ها و گذر از آنها با آموزش 🗣محتوای این جلسه: _گذر از ایستگاه دوم: زخم و اهمیت آموزش دیدن _ آشنایی با مفهوم زخم _ تمرین دیدن زخم‌ها؛ فرصتی برای رشد ✨با حضور: 👤دکتر الهام اسلامیان، روانشناس و مدرس دانشگاه ⬇️ نحوه ثبت نام در این دوره: https://t.me/IDS_Psy/462 ⌛ سرفصل های این دوره: https://t.me/IDS_Psy/464 🔴 همراه با گواهی شرکت در دو

Showing the 12 most recent of 21 posts we hold for @IDS_Psy. 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 — 9,527 of 1,151,006entries 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

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

Named by 10 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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“روانشناسی و علوم شناختی - مدارس میان‌رشته‌ای” (@IDS_Psy), 1,860 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/IDS_Psy.

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.