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Channel

The Scholar Hub

@TheScholarHub1

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

15,031subscribers

+7,561 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001734936132
TypeChannel
Username@TheScholarHub1
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live17 September 2026
Measurements held16
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/TheScholarHub1

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.

Growth

7,47015,03111,250.514 August 2026 — 7,470 subscribers16 August 2026 — 7,574 subscribers19 August 2026 — 7,721 subscribers23 August 2026 — 7,969 subscribers26 August 2026 — 8,123 subscribers28 August 2026 — 8,268 subscribers31 August 2026 — 11,499 subscribers1 September 2026 — 11,739 subscribers2 September 2026 — 11,990 subscribers4 September 2026 — 12,768 subscribers6 September 2026 — 13,566 subscribers9 September 2026 — 14,157 subscribers12 September 2026 — 14,487 subscribers13 September 2026 — 14,732 subscribers15 September 2026 — 14,812 subscribers17 September 2026 — 15,031 subscribers14 August 202617 September 2026
16 measurements spanning 34 days, net +7,561. 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 6,336–16,165 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 17:1715,031+219
15 Sept 2026, 12:3814,812+80
13 Sept 2026, 20:1514,732+245
12 Sept 2026, 00:0114,487+330
9 Sept 2026, 15:5514,157+591
6 Sept 2026, 09:0013,566+798
4 Sept 2026, 00:5712,768+778
2 Sept 2026, 12:5311,990+251
1 Sept 2026, 13:3811,739+240
31 Aug 2026, 15:1411,499+3,231
28 Aug 2026, 22:268,268+145
26 Aug 2026, 05:338,123+154
23 Aug 2026, 06:137,969+248
19 Aug 2026, 08:577,721+147
16 Aug 2026, 03:567,574+104
14 Aug 2026, 20:157,470first reading

Engagement

32 posts held, back to 13 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 12 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
33.1%
avg views ÷ 15,031 subscribers
Avg views / post
4,980
8 posts measured
Reaction rate
0.593%
reactions ÷ views · ER floor
Posts in window
8
of 32 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 7 of 8 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 2 September 2026
Posts held32 (13 July 20262 September 2026)
Views total39,840
Reactions total202
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 00:27 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
8s
Average length
8s

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

1,046 reactions across 29 posts, in 18 distinct kinds. The most used accounts for 74.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
77974.5%
👍676.41%
🤣383.63%
👌262.49%
😭252.39%
🔥201.91%
🙏191.82%
👏161.53%
😍161.53%
👎100.956%
😁90.86%
❤‍🔥80.765%
🍓30.287%
🤔30.287%
💋20.191%
🤩20.191%
🥰20.191%
🌚10.096%

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 30 of the 32 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 1,046 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 13 July 2026 to 2 September 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

2 Sept 2026, 14:39 UTC≈1,740 views18 reactionsread 3 September 2026
Photo

به نظر من، مراکز تحقیقاتی هنوز یکی از بهترین مسیرها برای ساختن رزومه پژوهشی و ایجاد شبکه ارتباطی‌ای هستند که در آینده می‌تونه بهتون کمک کنه. من کاملاً درک می‌کنم که بودجه‌های تحقیقاتی نسبت به گذشته خیلی کمتر شده، ارتباطات خارجی دیگه مثل قبل نیست و حتی در بعضی مراکز تحقیقاتی ممکنه از افراد سوءاستفاده بشه و فرد به حقی که به‌عنوان یک محقق داره نرسه. با این حال، به نظرم این مسیر همچنان خیلی بهتر از فعالیت در گروه‌های مجا

17👍1

31 Aug 2026, 15:11 UTC≈3,500 views136 reactionsread 3 September 2026

دیروز با مهدی برای یک پروژه ی تحقیقاتی 4 نفر رو مصاحبه کردیم. چند تا نکته دیدم که دوست دارم باهاتون به اشتراک بذارم، شاید در آینده به کارتون بیاد. 1: هیچ وقت با دوربین خاموش مصاحبه نکنید. شما ممکنه درخواست بدید که میخواید دوربین تون خاموش باشه و احتمالا باهاتون مخالفت هم نمیشه، ولی احتمال خیلی زیاد برای اون پوزیشن انتخاب نمی شید. 2: خودتون رو آماده کنید و به صورت کاملا رسمی تو میتینگ حاضر بشید. در واقع موقعیت شما و پ

100👌23👍10🤣2🙏1

Signed Saeed

25 Aug 2026, 13:21 UTC≈5,710 views6 reactionsread 3 September 2026
Photo

https://www.emro.who.int/media/news/call-for-experts-multi-communicable-disease-elimination-regional-technical-advisory-group-mcde-rtag.html

6

Signed Saeed

24 Aug 2026, 19:54 UTC≈5,780 views9 reactionsread 3 September 2026
File

File, posted without a caption

9

Signed Matt “Mehdi” Hatami

24 Aug 2026, 07:11 UTC≈6,050 views30 reactionsread 3 September 2026

این سه تا دیتابیس، مواردی هستند که من در کارهای قبلیم و در کارهای آینده ام خیلی ازشون استفاده کردم و میکنم. اولی دیتابیس سازمان جهانی بهداشته که داده های مختلفی برای همه ی دنیا داره. مورد دوم دیتابیس GLOBOCAN که آمار بروز سرطان در حال حاضر و پروجکشنش برای 25 سال آینده رو داره و در نهایت شاخص Human Development index دیتابیس UNDP که میتونید ازش به عنوان متغیر وضعیت اقتصادی-اجتماعی کشورها استفاده کنید.

👏1614

Signed Saeed

24 Aug 2026, 07:08 UTC≈5,760 viewsread 3 September 2026

https://hdr.undp.org/data-center/country-insights#/ranks

Signed Saeed

24 Aug 2026, 07:08 UTC≈5,720 views3 reactionsread 3 September 2026

https://gco.iarc.who.int/tomorrow/en/dataviz/trends?multiple_populations=1

3

Signed Saeed

24 Aug 2026, 07:08 UTC≈5,580 views0 reactionsread 3 September 2026

https://www.who.int/data/gho/data/indicators

Signed Saeed

20 Aug 2026, 18:11 UTC≈6,680 views57 reactionsread 3 September 2026

من اگه بخوام یه توصیه به کسی که اول مسیر پژوهشه داشته باشم، اینه که برنامه‌نویسی با R رو درست و کامل یاد بگیره. درسته که الان چت‌بات‌ها اومدن و خیلی تو نوشتن کدها کمک می‌کنن، ولی همچنان مهمه که خودتون دانش کافی داشته باشید که بتونید کدهایی که هوش مصنوعی تولید می‌کنه رو بفهمید، بررسی کنید و ببینید اصلاً درست کار می‌کنن یا نه. این کورس R هم دوره‌ای بود که من شخصاً مدل تدریسش رو دوست داشتم و فکر می‌کنم برای کسی که هیچ

43🙏11❤‍🔥3

Signed Saeed

19 Aug 2026, 02:02 UTC≈5,670 views16 reactionsread 3 September 2026
Photo

Photo, posted without a caption

🔥95👎2

Signed Matt “Mehdi” Hatami

16 Aug 2026, 21:08 UTC≈5,990 views36 reactionsread 3 September 2026
Photo

این گایدلاین انتشارات JAMA در خصوص موارد مجاز و غیرمجاز استفاده از AI عه. اصلاح متن و خطاهای گرامری و حتی ترجمه‌ی متن با استفاده از AI مشکلی نداره و طبق گایدلاین این انتشارات حتی نیاز به اعلام کردن (disclose) هم نداره. کارایی که نباید با AI انجام بدید، بیشتر مربوط به تولید محتوای اوریجینال و رفرنس دادن با AI میشه. نکته ای که برای خودم جالب بود اینه که کامنت های داورها رو هم نباید با AI به اشتراک بذارید.

25👍7👌3❤‍🔥1

Signed Saeed

Showing the 12 most recent of 32 posts we hold for @TheScholarHub1. 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

@TheScholarHub1 edited 1 post 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
25 August 2026
Most recent edit
25 August 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

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“The Scholar Hub” (@TheScholarHub1), 15,031 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/TheScholarHub1.

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.