Telegram RegisterThe public register of Telegram

Channel

The Scholar Hub

@TheScholarHub1

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

7,470subscribers

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001734936132
TypeChannel
Username@TheScholarHub1
DescriptionStudy Abroad Productivity Growth
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live14 August 2026
Measurements held1
On Telegramt.me/TheScholarHub1

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 20:157,470first reading

Engagement

18 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
78.1%
avg views ÷ 7,470 subscribers
Avg views / post
5,830
15 posts measured
Reaction rate
0.519%
reactions ÷ views · ER floor
Posts in window
15
of 18 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 8 August 2026
Posts held18 (13 July 20268 August 2026)
Views total87,460
Reactions total454
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 20:15 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

Photos
1
Videos
1
Links
8

Lifetime counters from Telegram’s own channel header, read 14 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.

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

604 reactions across 18 posts, in 15 distinct kinds. The most used accounts for 75.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
45775.7%
👍335.46%
🤣264.30%
😭233.81%
😍162.65%
🔥101.66%
😁91.49%
👎81.32%
🙏60.993%
❤‍🔥40.662%
🍓30.497%
🤔30.497%
💋20.331%
🤩20.331%
🥰20.331%

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 18 of the 18 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 604reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 13 July 2026 to 8 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

8 Aug 2026, 19:55 UTC≈2,990 views70 reactionsread 14 August 2026

با این پرامپت می‌تونید متن‌هاتون رو طوری تغییر بدید که مشخص نباشن با هوش مصنوعی نوشته شدن: Rewrite the following text at C1 CEFR level, as written by a non-native English speaker who is a subject-matter expert. Preserve the meaning, technical accuracy, terminology, and details. Keep the style clear, natural, and academically appropriate without making it overly polished. Avoid common LLM writing patterns: no em da

60👍9🙏1

Signed Matt “Mehdi” Hatami

1 Aug 2026, 21:54 UTC≈5,380 views61 reactionsread 14 August 2026
Video

ادیتور لنست وقتی مقاله از ایران می بینه

🤣26😭23😁9💋21

Signed Saeed

1 Aug 2026, 12:20 UTC≈4,960 views23 reactionsread 14 August 2026

-------------------------------------------------------- END-OF-MONTH ASSESSMENT -------------------------------------------------------- At the end of the month create a comprehensive self-assessment. Include: A writing task A speaking task A reading task A grammar review A vocabulary review Reflection questions These tasks should help the student determine whether they have achieved this month's objectives

20👍3

Signed Matt “Mehdi” Hatami

1 Aug 2026, 12:20 UTC≈3,710 views9 reactionsread 14 August 2026

پرامپت برنامه‌ریزی و Roadmap سی روزه مطالعه زبان (به همراه گزارشی که از پرامپت قبل میگیرید بدید به ChatG{T( The text above is an English proficiency profile generated by an adaptive CEFR placement assessment. Treat that report as the only source of truth about the student's current English ability. You are an expert English learning coach, curriculum designer, and language acquisition specialist. Your objectiv

8🙏1

Signed Matt “Mehdi” Hatami

1 Aug 2026, 12:18 UTC≈3,010 views11 reactionsread 14 August 2026

{ "score": 0, "confidence": 0 }, "vocabulary": { "score": 0, "confidence": 0 }, "writing": { "score": 0, "confidence": 0 }, "reading": { "score": 0, "confidence": 0 }, "communication": { "score": 0, "confidence": 0 } }, "strengths": [], "weaknesses": [], "grammar_strengths": [], "grammar_to_improve": [], "vocabulary_strengths": [], "vocabulary_to_improve": [], "writing_strengths": [], "writing_to_improve": [], "readi

11

Signed Matt “Mehdi” Hatami

1 Aug 2026, 12:18 UTC≈3,160 views6 reactionsread 14 August 2026

## Final Proficiency Profile After Question 15, stop asking questions and produce a comprehensive proficiency profile. The report should be detailed enough that another LLM could use it as the sole input for generating a personalized English study plan. The report should be objective, evidence-based, and comprehensive. --- # 1. Overall Assessment Include: - Estimated CEFR level - Confidence (0–100%) - Estimated posit

5🥰1

Signed Matt “Mehdi” Hatami

1 Aug 2026, 12:18 UTC≈4,390 views14 reactionsread 14 August 2026

پرامپت تعیین سطح زبانتون به کمک ChatGPT You are an expert English placement examiner with experience in CEFR (A1–C2), Cambridge English, IELTS, and Oxford placement assessments. Your task is to estimate the student's English proficiency as accurately as possible using ONLY a written conversation. ## Goal Conduct an adaptive English placement test in exactly 15 questions. The objective is NOT to finish all CEFR lev

13🥰1

Signed Matt “Mehdi” Hatami

30 Jul 2026, 22:03 UTC≈5,950 views58 reactionsread 14 August 2026
File

نمونه‌ی انگیزه‌نامه موفق

34😍12🙏4🍓3👎3❤‍🔥1👍1

Signed Matt “Mehdi” Hatami

29 Jul 2026, 22:13 UTC≈5,740 views29 reactionsread 14 August 2026
Photo

وقتی می‌خواید توی یک دوره آموزشی ثبت‌نام کنید، بیشتر از هر چیز به این دقت کنید که آیا واقعاً متناسب با نیازتون هست یا نه، و این‌که مدرس دوره دانش، تجربه و سابقه‌ی واقعی در اون حوزه داشته باشه. این‌که یک مفهوم رو اصولی یاد بگیرید و بعدها بتونید توی کار و پژوهشتون ازش استفاده کنید، خیلی ارزشمندتر از اینه که اسمتون وسط یک مقاله در یک ژورنال بی‌نام‌ونشون، کنار چندین اسم دیگه قرار بگیره. دانش و مهارتی که خودتون به دست م

22👍6❤‍🔥1

Signed Saeed

25 Jul 2026, 21:30 UTC≈7,280 views23 reactionsread 14 August 2026

چندتا پست لینکدینی که توی پست آخر اینستاگرام بهشون اشاره کردم. می‌تونید ازشون ایده بگیرید و شروع کنید به پست گذاشتن روی لینکدین و کانکشن‌های باارزش با افراد مربوط به رشته خودتون بسازید. ۱. نمونه پست به اشتراک گذاشتن منابع ارزشمند https://www.linkedin.com/posts/hatamimatt_ml4eo-mlweather-machinelearning-activity-7468676045060354050-k2-j?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAACXE9poBqjyA

21👍2

Signed Matt “Mehdi” Hatami

24 Jul 2026, 05:00 UTC≈7,350 views21 reactionsread 14 August 2026
File

چک لیست ۵ قدمی دانشگاه MIT برای ساختن پروفایل خوب در لینکدین

21

Signed Matt “Mehdi” Hatami

22 Jul 2026, 16:30 UTC≈7,280 views5 reactionsread 14 August 2026
File

File, posted without a caption

5

Signed Saeed

Showing the 12 most recent of 18 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.

Citation-graph rank

Citation-graph rank — 1,226,444 of 1,480,688entries 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

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

“The Scholar Hub” (@TheScholarHub1), 7,470 subscribers as measured 14 August 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.