Telegram RegisterThe public register of Telegram
Telegram profile photo for نشر نویسه پارسی

Channel

نشر نویسه پارسی

@iranlinguistics

On this record: Previous handles · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,367subscribers

-5 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001007368656
TypeChannel
Username@iranlinguistics
Created30 September 2015measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/iranlinguistics

Previous handles

Recorded in 2019 as “Iranlinguistics — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.

Growth

2,3672,3722,369.55 August 2026 — 2,372 subscribers6 August 2026 — 2,372 subscribers10 August 2026 — 2,370 subscribers13 August 2026 — 2,368 subscribers16 August 2026 — 2,367 subscribers5 August 202616 August 2026
5 measurements spanning 11 days, net -5. 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 2,366–2,373 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 18:482,367-1
13 Aug 2026, 11:272,368-2
10 Aug 2026, 03:512,370-2
6 Aug 2026, 05:472,372no change
5 Aug 2026, 22:072,372first reading

Engagement

20 posts held, back to 5 January 2026the 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
9.55%
avg views ÷ 2,367 subscribers
Avg views / post
226
2 posts measured
Reaction rate
4.39%
reactions ÷ views · ER floor
Posts in window
2
of 20 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 2 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 4 August 2026
Posts held20 (5 January 20264 August 2026)
Views total452
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:37 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.

Reaction mix

99 reactions across 19 posts, in 9 distinct kinds. The most used accounts for 64.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6464.6%
👏1212.1%
👎77.07%
💔55.05%
🎉44.04%
👌33.03%
👍22.02%
🙏11.01%
🤔11.01%

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 19 of the 20 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 99reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 5 January 2026 to 4 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

4 Aug 2026, 12:33 UTC156 viewsread 7 August 2026
Forwarded from @lsiinfoPhoto

انجمن علمی آزفا برگزار می‌کند: 📚 باشگاه پژوهش‌خوانی/ نشست دوم 🔹بررسی مقاله علمی Teaching of Culture in Persian as a Second or Foreign Language 🔹فرهنگ‌آموزی در آموزش زبان فارسی به‌عنوان زبان دوم یا خارجی 🔹نویسنده‌ها: دکتر موسی نوشی (عضو هیئت علمی دانشگاه شهیدبهشتی) و دکتر زهرا ابوالحسنی چیمه (عضو هیئت علمی دانشگاه تهران) 🔹مقاله منتشرشده در کتاب: Handbook of Teaching and Learning Persian as a Second Language 🔹ناشر: Sp

31 Jul 2026, 19:58 UTC296 views13 reactionsread 7 August 2026
Forwarded from @lsiinfoPhoto

مجله زبان‌شناسی از نشریات علمی تخصصی مرکز نشر دانشگاهی است که انتشار آن از سال ۱۳۶۳ آغاز شده است. این مجله با هدف گسترش پژوهش‌های علمی در حوزه زبان‌شناسی و معرفی دستاوردهای نوین این دانش، به انتشار مقالات پژوهشی در شاخه‌های مختلف زبان‌شناسی پرداخته است. حوزه فعالیت مجله شامل زمینه‌هایی چون زبان‌شناسی نظری، آوا و واج‌شناسی، صرف،نحو، معناشناسی، زبان‌شناسی تاریخی، جامعه‌شناسی زبان، زبان‌شناسی کاربردی و مطالعات مرتبط با

7👎2👏2👌1🤔1

11 Jul 2026, 18:37 UTC≈1,040 views2 reactionsread 7 August 2026
Photo

📚 #تکامل_زبان_و_آسیب_های_رشدی ✔️مترجم: #محمدحسن_ترابی ــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ 📝 معرفی: نویسنده با نگاهی علمی و روان، چگونگی شکل‌گیری این توانایی در کودکان را بررسی می‌کند و نشان می‌دهد که زبان، حاصلِ سازوکارهای پیچیدۀ شناختی و زیستی است. در فصل‌های کتاب، سیر پژوهش‌ها دربارۀ منشأ زبان تا سال ۲۰۱۶ مرور می‌شود؛ از کشف ژن FOXP2 تا نقش حافظه و

2

11 Jul 2026, 18:07 UTC609 views1 reactionsread 7 August 2026
Forwarded from @gostaresh_newbookPhoto

📘 مغز و پیچ و خم های آن (علوم اعصاب درباره مغز چه می گوید)،(شمیز،رقعی،نویسه پارسی) 💰 قیمت: ۶۰۰۰۰۰۰ ریال 🏷 کد: 154450 #روان_درماني 📦 لینک خرید 👈 https://gbook.ir/shop/search?sku=154450

1

11 Jul 2026, 18:07 UTC539 views1 reactionsread 7 August 2026
Forwarded from @gostaresh_newbookPhoto

📘 جعبه ابزار تحلیل گفتمان (شمیز،رقعی،نویسه پارسی) 💰 قیمت: ۶۵۰۰۰۰۰ ریال 🏷 کد: 154447 #روانشناسي_ارتباط 📦 لینک خرید 👈 https://gbook.ir/shop/search?sku=154447

1

9 Jul 2026, 17:40 UTC486 views6 reactionsread 7 August 2026
Photo

📚 #نام_شناسی ✔️به کوشش: #بهمن_زندی و #فاطمه_عظیمی_فرد ــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ 📝 معرفی: نام‌شناسی دانش مطالعه اسامی خاص است که ریشه آن از واژه یونانی«onoma» به معنای نام می‎آید. هر نام واژه‌ای چنان غنی است که می‌توان ساعت‌ها درباره پیشینه تاریخی، فرهنگی، اجتماعی و سیاسی آن به بحث پرداخت. از آن رو که نام نقش مهمی در مراودات اجتماعی دارد، صاح

4🎉1👍1

8 Jul 2026, 15:33 UTC≈1,350 views4 reactionsread 7 August 2026
Photo

📚 #روان_شناسی_زبان ✔️مترجم: #محمدحسن_ترابی ــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ 📝 معرفی: این اثر روندهایی مانند درک گفتار، پردازش واژگان، نقش حافظه، رشد زبانی کودکان، دوزبانگی و پیوند میان زبان و شناخت را به شکلی قابل‌فهم توضیح می‌دهد و همچنین نشان می‌دهد که ذهن هنگام مواجهه با زبان چگونه عمل می‌کند. فصل‌های کتاب بر پایۀ پژوهش‌های معتبر سامان یافته‌ اس

4

7 Jul 2026, 19:13 UTC≈4,410 views5 reactionsread 7 August 2026
Photo

📚 #جعبه_ابزار_تحلیل_گفتمان ✔️مترجم: #فاطمه_عظیمی_فرد ــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ 📝 معرفی: این کتاب با معرفی ۲۸ ابزار تحلیلی و تمرین‌های عملی فراوان، خواننده را در فرآیند یادگیری فعال نگه می‌دارد. نویسنده با زبانی روشن و دقیق نشان می‌دهد که تحلیل گفتمان فقط بررسی جمله‌ها نیست، بلکه شناخت رابطه‌ی زبان با کنش، هدف و معناست. هر ابزار، پرسشی تازه پ

5

6 Jul 2026, 17:53 UTC≈1,220 views4 reactionsread 7 August 2026
Photo

📚#نشر_نویسه_پارسی 🔹ناشر تخصصی ◀️زبان‌شناسی | علوم شناختی | علوم اجتماعی▶️ ــــــــــــــــــــــــــــــــــــــــــــــــــــــ 📚 علوم شناختی ✔️مترجم: #مهلا_آرین_پور ـــــــــــــــــــــــــــــــــــــــــــــــــــــ 📝 معرفی: ما زبان را بی‌وقفه به کار می‌بریم، اما به‌ندرت به این می‌اندیشیم که ذهن انسان چگونه این نظام پیچیده را در زمانی کوتاه پردازش می‌کند. زبان یکی از شگفت‌انگیزترین توانایی‌های شناختی انسان است؛

4

5 Jul 2026, 18:07 UTC608 views5 reactionsread 7 August 2026
Photo

📚#نشر_نویسه_پارسی 🔹ناشر تخصصی ◀️زبان‌شناسی | علوم شناختی | علوم اجتماعی▶️ ــــــــــــــــــــــــــــــــــــــــــــــــــــــ 📚 وندافزایی به ستاک فعل در زبان فارسی ✔️نویسنده: #پارسا_بامشادی ـــــــــــــــــــــــــــــــــــــــــــــــــــــ 📝 معرفی: این کتاب دربردارندۀ ایده و انگاره‌ای نو برای معناکاویِ فرآیند وندافزایی در زبان فارسی و به‌طور مشخص، وندافزایی به ستاک فعل است که می‌کوشد با ایجاد پیوند میان سه نظ

2👏2🎉1

27 Jun 2026, 15:55 UTC884 views3 reactionsread 7 August 2026
Photo

📚#نشر_نویسه_پارسی 🔹ناشر تخصصی ◀️زبان‌شناسی | علوم شناختی | علوم اجتماعی▶️ ــــــــــــــــــــــــــــــــــــــــــــــــــــــ 📚 زبان‌گردانی آموزشی ✔️مترجمان: #مجید_حاتمی و #نگار_داوری_اردکانی ـــــــــــــــــــــــــــــــــــــــــــــــــــــ 📝 معرفی: این کتاب به یکی از رویکردهای اثرگذار و روزآمد در آموزش زبان می‌پردازد؛ رویکردی که استفادۀ پویا و هم‌زمان از تمامی منابع زبانیِ زبان‌آموزان را به‌عنوان بخشی طبیع

2👌1

5 Jun 2026, 12:35 UTC≈1,270 views7 reactionsread 7 August 2026
Photo

📚#نشر_نویسه_پارسی 🔹ناشر تخصصی ◀️زبان‌شناسی | علوم شناختی | علوم اجتماعی▶️ ــــــــــــــــــــــــــــــــــــــــــــــــــــــ 📚 کاربردشناسی ✔️مترجمان: #مهناز_کربلایی_صادق، #غزاله_عزتی و #افسانه_محمدی_شاهرخ_آبادی ـــــــــــــــــــــــــــــــــــــــــــــــــــــ 📝 معرفی: چگونه افراد در تعاملات خود مقصود یکدیگر را فراتر از معنای ظاهری واژه‌ها و جمله‌ها درک می‌کنند؟ چرا یک عبارت واحد می‌تواند در موقعیت‌های مختلف

7

Showing the 12 most recent of 20 posts we hold for @iranlinguistics. 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 — 253,164 of 1,481,243entries 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

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 5 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“نشر نویسه پارسی” (@iranlinguistics), 2,367 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/iranlinguistics.

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.