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Channel

دور نوشت‌ها - علی تقی‌پور رینه

@dourneveshtha

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

504subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001353192763
TypeChannel
Username@dourneveshtha
Created29 September 2019measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/dourneveshtha

Growth

503504503.56 August 2026 — 503 subscribers6 August 2026 — 503 subscribers14 August 2026 — 504 subscribers6 August 202614 August 2026
3 measurements spanning 9 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 503–504 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 23:16504+1
6 Aug 2026, 18:46503no change
6 Aug 2026, 08:17503first reading

Engagement

20 posts held, back to 11 June 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
52.0%
avg views ÷ 504 subscribers
Avg views / post
262
1 post measured
Reaction rate
1.91%
reactions ÷ views · ER floor
Posts in window
1
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 August 2026
Posts held20 (11 June 20261 August 2026)
Views total262
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 18:46 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

77 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 51.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4051.9%
3241.6%
🔥45.19%
👏11.30%

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 20 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 77reactions 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 11 June 2026 to 1 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

1 Aug 2026, 11:54 UTC262 views5 reactionsread 6 August 2026

چرا بازار کار سوئد در بحران‌ها کمتر از هم می‌پاشد؟ ✍️#علی_تقی‌پور شاید براتون عجیب باشه، ولی در سوئد اتحادیه‌های کارگری صرفاً مدافع طبقه کارگر نیستن؛ خودشون رو مسئول حفظ ثبات اقتصادی و نظم اجتماعی هم می‌دونن. به این مدل همکاری میان دولت، کارفرما و اتحادیه‌های کارگری می‌گن Corporatism؛ مدلی که تلاش می‌کنه به‌جای تقابل دائمی، هم اقتصاد پایدار بمونه و هم امنیت شغلی مردم حفظ بشه. مثلاً اگر یک شرکت دچار بحران مالی بشه

5

18 Jul 2026, 10:30 UTC919 views2 reactionsread 6 August 2026

چرا فهم استراتژی دفاعی جمهوری اسلامی سخت‌تر از گذشته شده؟ ✍️#علی_تقی‌پور از سال ۸۸، بعد از ورود سپاه به عرصه اطلاع‌رسانی و بعد هم حضور نظامی‌اش در سوریه و ظهور کارشناسان موسوم به «محور مقاومت»، این انتظار به وجود اومد که استراتژی‌های دفاعی جمهوری اسلامی قابل‌فهم‌تر و قابل بحث‌تر بشن. تا قبل از ۸۸، عمدتاً کیهان و چند رسانه محافظه‌کار نقش سخنگوی این جریان رو داشتن، اما بعد از این دو اتفاق، روند روایت‌سازی کاملاً تغیی

1👍1

17 Jul 2026, 09:56 UTC230 views6 reactionsread 6 August 2026
Photo

داریوش شایگان یه نقد جالب به روشنفکران ایرانی داشت که هرچی زمان می‌گذره، بیشتر حس می‌کنم حرفش بیراه نبوده. می‌گفت خیلی از روشنفکرهای ایرانی یه بیماری مشترک دارن؛ خیلی زود از همه طلبکار می‌شن و احساس می‌کنن اون‌طور که باید دیده، شنیده یا فهمیده نشدن. این حسِ نادیده گرفته شدن و به‌اندازه کافی قدر ندیدن، کم‌کم توی رفتار، لحن و حتی نوع برخوردشون با بقیه خودش رو نشون می‌ده. راستش این روزها خودم هم دارم این ویژگی رو توی

4👍2

15 Jul 2026, 13:13 UTC564 views3 reactionsread 6 August 2026
File

نگاهی به کتاب «ایران بر لبه تنهایی» اثر ولی نصر | قسمت چهارم نقدهای ولی نصر به استراتژی دفاع رو به جلو و محور مقاومت 🆔@dourneveshtha

👍3

13 Jul 2026, 16:55 UTC659 views3 reactionsread 6 August 2026
File

نگاهی به کتاب «ایران بر لبه تنهایی» اثر ولی نصر | قسمت سوم جنگ، دفاع رو به جلو و برجام 🆔@dourneveshtha

👍3

12 Jul 2026, 17:58 UTC692 views3 reactionsread 6 August 2026
File

نگاهی به کتاب «ایران بر لبه تنهایی» اثر ولی نصر | قسمت دوم چگونه تسخیر سفارت آمریکا و عملیات حزب‌الله لبنان علیه نظامیان آمریکایی، ذهنیت رهبران جمهوری اسلامی را شکل داد 🆔@dourneveshtha

👍3

11 Jul 2026, 17:29 UTC≈1,140 views4 reactionsread 6 August 2026
File

نگاهی به کتاب «ایران بر لبه تنهایی» از ولی‌نصر قسمت اول: از صفویه تا میراث سیاست منطقه‌ای محمدرضا شاه برای جمهوری اسلامی 📌لینک در یوتیوب 🆔@dourneveshtha

4

9 Jul 2026, 17:11 UTC597 views5 reactionsread 6 August 2026

نگاهی به کتاب نزاع هزارساله ما بر سر فناوری و بهروزی - قسمت دوم 🔸ما معمولاً تصور می‌کنیم هرچه فناوری پیشرفته‌تر شود، رفاه هم بیشتر می‌شود؛ اما کتاب «نزاع هزارساله بر سر فناوری و بهروزی» نوشته دارون عجم‌اوغلو و سایمون جانسون، دقیقاً همین تصور را به چالش می‌کشد. به اعتقاد نویسندگان، تاریخ بارها نشان داده که رشد فناوری به‌خودیِ‌خود زندگی مردم را بهتر نمی‌کند و این باور، چیزی است که آن را «توهم ارابه بهره‌وری» می‌نامند.

👍5

6 Jul 2026, 17:02 UTC803 views12 reactionsread 6 August 2026
Photo

بعد از مرگ مائو و بازداشت «چهار نفره»‌ی جناح افراطی حزب کمونیست، بسیاری از اعضای قدیمی حزب نگران بودند که حزب کمونیست چین هم تحت تأثیر رویکرد حزب کمونیست شوروی در نقد استالین قرار بگیرد؛ یعنی نقد علنی رهبر پیشین، باعث دودستگی، شکاف داخلی و در نهایت تضعیف خود حزب شود. دنگ شیائوپینگ که خودش از قربانیان جناح رادیکال حزب بود و در عین حال آموخته بود عملگرایانه سیاست‌ورزی کند، معتقد بود نیازی نیست مائو را در عرصه عمومی تخ

👍72🔥2👏1

4 Jul 2026, 10:16 UTC975 views5 reactionsread 6 August 2026

نگاهی به کتاب نزاع هزارساله ما بر سر فناوری و بهروزی از دارون عجم اوغلو و سایمون جانسون- قسمت اول 🔸این بخش از پادکست، مقدمه‌ای بر بحث کتاب قدرت و پیشرفت است و ایده اصلی آن را توضیح می‌دهد: فناوری به‌خودی‌خود رفاه عمومی ایجاد نمی‌کند، بلکه نتیجه آن به توازن قدرت و نهادهای سیاسی و اجتماعی بستگی دارد. 🔹اعجم‌اوغلو با مثال‌هایی از آسیاب‌های قرون وسطی، انقلاب صنعتی، جنبش حصارکشی انگلستان، ماشین پنبه‌پاک‌کنی و کانال سوئز

👍32

28 Jun 2026, 09:45 UTC293 views2 reactionsread 6 August 2026
Photo

فصل هشتم کتاب عجم‌اوغلو به نظرم یکی از بهترین فصل‌های کتابه. چیزی که دوست دارم اینه که به‌جای اینکه مدام از واژه‌هایی مثل «نئولیبرالیسم» استفاده کنه، میاد خیلی مشخص دو دوره از اقتصاد آمریکا رو با هم مقایسه می‌کنه؛ آمریکا بعد از دهه ۱۹۳۰ و آمریکا بعد از دهه ۱۹۸۰. بعد استدلال می‌کنه که چطور با غلبه سیاست‌های متاثر از ایده‌های فریدمن، به‌تدریج نابرابری بیشتر شد و با ورود عصر دیجیتال این روند شدت گرفت؛ طوری که بخش بزرگ‌

1🔥1

27 Jun 2026, 12:18 UTC901 views6 reactionsread 6 August 2026

‍ چرا رفع تحریم لزوماً زندگی همه را بهتر نمی‌کند؟ به نظرم می‌شود یکی از مهم‌ترین ایده‌های فصل پنجم کتاب نزاع هزارساله ما بر سر فناوری و بهروزی را به بحث رفع تحریم هم تعمیم داد. خیلی‌ها تصور می‌کنند اگر تحریم‌ها برداشته شود، سرمایه وارد کشور شود و اقتصاد رشد کند، خودبه‌خود زندگی همه مردم بهتر خواهد شد. اما عجم‌اوغلو و جانسون نشان می‌دهند که در صد سال اول انقلاب صنعتی هم چنین اتفاقی نیفتاد. با اینکه اقتصاد رشد کرد

👍6

Showing the 12 most recent of 20 posts we hold for @dourneveshtha. 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 — 320,579 of 1,480,975entries 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

Named by 4 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“دور نوشت‌ها - علی تقی‌پور رینه” (@dourneveshtha), 504 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/dourneveshtha.

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.