Telegram RegisterThe public register of Telegram

Channel

نکته

@pkhosroshahi

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

1,946subscribers

+1 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-1001024307309
TypeChannel
Username@pkhosroshahi
CreatedBetween 1 January 2016 and 31 March 2016— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged2 times, most recently 12 August 2026
On Telegramt.me/pkhosroshahi

Growth

1,9451,9471,9466 August 2026 — 1,945 subscribers6 August 2026 — 1,945 subscribers6 August 2026 — 1,947 subscribers9 August 2026 — 1,946 subscribers6 August 20269 August 2026
4 measurements spanning 4 days, net +1. 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 1,945–1,947 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 17:021,946-1
6 Aug 2026, 23:281,947+2
6 Aug 2026, 06:331,945no change
6 Aug 2026, 03:081,945first reading

Engagement

22 posts held, back to 22 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
35.2%
avg views ÷ 1,946 subscribers
Avg views / post
685
22 posts measured
Reaction rate
1.42%
reactions ÷ views · ER floor
Posts in window
22
of 22 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 17 of 22 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 6 August 2026
Posts held22 (22 July 20266 August 2026)
Views total15,061
Reactions total177
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:12 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
3m 07s
Average length
1m 34s

Measured directly from 2 videos 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

142 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 54.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7754.2%
👎2920.4%
👏1611.3%
🥱117.75%
💯32.11%
😭32.11%
🤔21.41%
🤣10.704%

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 17 of the 22 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 177reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 22 July 2026 to 6 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

6 Aug 2026, 15:39 UTC313 views5 reactionsread 7 August 2026
Video

ایشان آقای رسول جعفریان، پژوهشگر تاریخ اسلام هستند. مقایسه کنید با سبک و سیاق پژوهشگر معتبر مورد اشاره در پست قبلی. آنچه می‌گوید ای بسا به زیانش باشد ولی باز هم می‌گوید.

👍5

6 Aug 2026, 08:23 UTC349 views10 reactionsread 7 August 2026

پژوهشگر معتبر ؟! چندی پیش در یک برنامه تلویزیونی بنام جریان با موضوع «غربگرایان ایران‌ستیز»، کارشناس برنامه ادعا می‌کند دو تن از برادران دکتر محمود سریع‌القلم در دهه ۶۰ اعدام شده‌اند تا به زعم خود شاهدی بر غربگرا و ایران‌ستیز بودن دکتر سریع‌القلم بیاورد. اما بعداَ معلوم می‌شود دو نفری که در دهه ۶۰ اعدام شده بودند فقط شباهت اسمی با دکتر محمود سریع‌القلم داشته‌اند و هیچ نسبت فامیلی بین آنها وجود نداشته است. در این میا

👍7👎2👏1

5 Aug 2026, 05:03 UTC673 views25 reactionsread 7 August 2026
Photo

تصویری از بیمه دانا

👍15👎6😭3🤣1

5 Aug 2026, 05:02 UTC668 views18 reactionsread 7 August 2026

اواسط بهمن ۱۴۰۰ که سرپرست بیمه مرکزی بودم، معاون بانک و بیمه وقت وزارت اقتصاد با من تماس گرفتند و گفتند تأییدیه آقای رضا جعفری را برای مدیر عاملی بیمه دانا صادر کنید. گفتم باید برای مصاحبه حضور پیدا کنند تا بعد از آن تأییدیه صادر شود. همکاران دفتر با وی تماس می‌گیرند تا برای مصاحبه حاضر شوند اما بهانه می‌آورند و نمی‌آیند. او بخاطر ارتباطاتی که ظاهراً با وزیر اقتصاد وقت داشت حضور در بیمه مرکزی و قرار گرفتن پشت میز مصا

👍11👎6👏1

5 Aug 2026, 05:01 UTC605 views19 reactionsread 7 August 2026

گزارش ۳۱ - بیمه دانا اخیراً یک بلاگر فضای مجازی ادعاهایی را در خصوص شرکت بیمه دانا مطرح کرده است که انسان را یاد نقاش آماتوری می‌اندازد که خود را جراح پلاستیک جا می‌زند اما چون دانش و مهارت آنرا ندارد محل‌های مورد نظرِ مشتری ساده‌لوح خود را بجای جراحی پلاستیک، بتونه‌ می‌زند و مشکلات جدیدی نیز بر مشکلات قبلی چهره او می‌افزاید. در این گزارش برای مشخص شدن عیار و اعتبار ادعاهایی که مطرح شده نکاتی را عرض می‌کنم. بر خلاف

👍12👎6👏1

4 Aug 2026, 10:16 UTC464 views12 reactionsread 7 August 2026

قضاوت بدون آشنایی با الفبا آقای سید امیر سیاح معاون اقتصادی و تنظیم مقررات مرکز ملی فضای مجازی، از مدیران و هم‌قطاران آقای خاندوزی و مریدان مرحوم آقای احمد توکلی؛ ذیل توئیتی که من در فضای مجازی نوشته بودم و ربطی هم به بیمه نداشت، مرقوم فرموده‌اند: "بدترین رئیس بیمه بدترین دولت ... دشمن بیمه‌های برخط" قضیه چیه؟ 7 مهر 1404 نامه‌ای از مرکز ملی فضای مجازی به دستمان در بیمه مرکزی رسید که خواستار برطرف‌سازی "هرگونه تبعیض

👏10👎2

2 Aug 2026, 06:48 UTC791 views17 reactionsread 7 August 2026

جامعه ما قربانی تحلیل‌گرانی -سیاستمدارانی در لباس تحلیل‌گر- است که اول چیزی را می‌پذیرند و سپس با انتخاب گزاره‌هایی از تاریخ و گفته‌های صاحبنظران داخلی و خارجی معتبر و غیرمعتبر، که آنرا تایید می‌کند سعی در توجیه آن می‌کنند. اگر هم نشد به تبلیغات انبوه و تحریک احساسات روی می‌آ‌ورند.

👍13👏2🥱2

31 Jul 2026, 13:17 UTC892 views12 reactionsread 7 August 2026
Photo

حرف حساب و مهم و قابل تأمل از دکتر سریع‌القلم! شاید دقیق‌ترین و جدی‌ترین و اساسی‌ترین سخنی باشد که من تاکنون از ایشان خوانده یا شنیده‌ام.

👍7👎5

31 Jul 2026, 07:11 UTC733 viewsread 7 August 2026
Photo

طی ۱۶ ماه اخیر سهم خوراکی‌ها، آشامیدنی‌ها و دخانیات از تورم نقطه‌ به‌ نقطه‌ی قیمت‌ها روند افزایشی (از نزدیک ۳۷٪‌ در ابتدای دوره به بالای ۵۱٪ در پایان دوره رسیده) و سهم کالاهای غیرخوراکی و خدمات روند کاهشی (از بالای ۶۳٪ به کمتر از ۵۰٪ رسیده) داشته است. مهمترین عامل این جابجایی سهم، تورم بالای گوشت قرمز و تورم ملایم‌تر اجاره‌بهای مسکن می‌باشد. در ۱۶ ماهه اخیر سهم گوشت قرمز از تورم نقطه به نقطه‌ی قیمت‌ها، ۳ برابر شده و

Showing the 12 most recent of 22 posts we hold for @pkhosroshahi. 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 — 206,806 of 1,478,351entries 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.

Appears in Telegram’s recommendations for other channels

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.

حوادث روز
@havades_roz · 252,503
Telegram ranks this channel #80 of 83 here — alongside 82 others — read 10 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“نکته” (@pkhosroshahi), 1,946 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/pkhosroshahi.

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.