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Channel

Evidence

@irevidence

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

6,071subscribers

+92 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001282436372
TypeChannel
Username@irevidence
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/irevidence

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 the other topics.

Growth

5,9796,0716,0256 August 2026 — 5,979 subscribers6 August 2026 — 5,982 subscribers9 August 2026 — 5,987 subscribers12 August 2026 — 5,997 subscribers16 August 2026 — 6,014 subscribers19 August 2026 — 6,018 subscribers23 August 2026 — 6,028 subscribers26 August 2026 — 6,025 subscribers30 August 2026 — 6,030 subscribers1 September 2026 — 6,023 subscribers4 September 2026 — 6,025 subscribers10 September 2026 — 6,019 subscribers14 September 2026 — 6,023 subscribers18 September 2026 — 6,032 subscribers28 September 2026 — 6,027 subscribers5 October 2026 — 6,007 subscribers12 October 2026 — 6,012 subscribers15 October 2026 — 6,017 subscribers19 October 2026 — 6,025 subscribers22 October 2026 — 6,024 subscribers25 October 2026 — 6,029 subscribers29 October 2026 — 6,040 subscribers1 November 2026 — 6,043 subscribers4 November 2026 — 6,042 subscribers7 November 2026 — 6,061 subscribers11 November 2026 — 6,071 subscribers6 August 202611 November 2026
26 measurements spanning 97 days, net +92. 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 5,965–6,085 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
11 Nov 2026, 06:496,071+10
7 Nov 2026, 04:106,061+19
4 Nov 2026, 06:496,042-1
1 Nov 2026, 08:356,043+3
29 Oct 2026, 01:416,040+11
25 Oct 2026, 15:386,029+5
22 Oct 2026, 12:076,024-1
19 Oct 2026, 00:456,025+8
15 Oct 2026, 15:006,017+5
12 Oct 2026, 14:466,012+5
5 Oct 2026, 13:376,007-20
28 Sept 2026, 03:186,027-5
18 Sept 2026, 04:356,032+9
14 Sept 2026, 05:366,023+4
10 Sept 2026, 06:556,019-6
4 Sept 2026, 21:396,025+2
1 Sept 2026, 16:086,023-7
30 Aug 2026, 00:436,030+5
26 Aug 2026, 19:136,025-3
23 Aug 2026, 08:476,028first reading

Engagement

31 posts held, back to 10 May 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 13 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
61.8%
avg views ÷ 6,071 subscribers
Avg views / post
3,750
1 post measured
Reaction rate
0.32%
reactions ÷ views · ER floor
Posts in window
1
of 31 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 18 October 2026
Posts held31 (10 May 2026 – 18 October 2026)
Views total3,750
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 17:18 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
40s
Average length
40s

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

807 reactions across 27 posts, in 9 distinct kinds. The most used accounts for 42.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤34542.8%
👍28835.7%
😁8310.3%
👌496.07%
🙏202.48%
🤔91.12%
💔80.991%
😢30.372%
👎20.248%

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 31 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 868 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 31 most recent posts we hold, published 10 May 2026 to 18 October 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

Telegram’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

18 Oct 2026, 10:43 UTC≈3,750 views12 reactionsread 5 November 2026

‏🔎 Deep Review؛ دستیار هوش مصنوعی گوگل برای بررسی و داوری مقالات علمی گوگل ابزاری به نام Deep Review معرفی کرده است که با کمک هوش مصنوعی، اسناد پیچیده و مقالات علمی را به‌صورت چندمرحله‌ای بررسی می‌کند تا خطاهای احتمالی، تناقض‌های منطقی، ضعف‌های استدلالی و ادعاهای فاقد پشتوانه را شناسایی کند. ‏🔹 Deep Review چگونه کار می‌کند؟ این ابزار سند را به بخش‌های منطقی تقسیم می‌کند، هر بخش را متناسب با پیچیدگی آن بررسی می‌کند …

👍11❤1

2 Oct 2026, 14:46 UTC≈2,740 views35 reactionsread 5 November 2026

قبلاً پستی تحت عنوان "اشتباه شایع در استفاده از گایدلاین PRISMA در مرورهای سیستماتیک" در کانال نوشته بودم. بطور خلاصه در آن پست آمده بود که: بیانیه PRISMA یک گایدلاین گزارش‌دهی برای مرورهای سیستماتیک و متاآنالیزهاست، نه راهنمای طراحی یا اجرای آنها. اشتباه رایج این است که پژوهشگران می‌نویسند مطالعه، متاآنالیز یا جستجوی منابع «بر اساس PRISMA انجام شد»، در حالی‌که PRISMA فقط نحوه گزارش فرایند و نتایج را مشخص می‌کند. بر…

👍29❤6

13 Sept 2026, 09:19 UTC≈5,950 views58 reactionsread 5 November 2026

«تحریم» به ارسال مقالات رسید/ آخوندزاده: این دیگر تحریم علمی نیست، «جنگ علمی» است! این عنوان خبری است که خبرگزاری ایسنا در 21 شهریور 1405 منتشر کرده است و در سایت‌ها و خبرگزاری‌های دیگر هم خیلی وایرال شده است. دکتر آخوندزاده (معاون تحقیقات وزارت بهداشت) گفته: «برای مجله نوروسایکوبایولوژی مقاله‌ای آماده ارسال کردم. به محض آغاز ارسال مقاله، با این صفحه مواجه شدم که ایرانی‌ها و چند کشور دیگر به دلیل تحریم حتی نمی‌توان…

👍25❤13😁12💔4🙏4

20 Aug 2026, 18:25 UTC≈4,730 views58 reactionsread 5 November 2026

▫️کشف یخ، تماشای یخ، یافتن یخ، اکتشاف یخ، پیدا کردن یخ، تماشای کشف یخ و ... رمان صد سال تنهایی که گابریل گارسیا مارکز به خاطر خلقِ آن، جایزه نوبل گرفت، با این جمله آغاز می‌شود: Muchos años después, frente al pelotón de fusilamiento, el coronel Aureliano Buendía había de recordar aquella tarde remota en que su padre lo llevó a conocer el hielo. مترجمان مختلفی این اثر را به فارسی ترجمه کرده‌اند، البته که ترجمه بهمن …

❤36👍20👎2

16 Aug 2026, 19:40 UTC≈3,990 views29 reactionsread 5 November 2026

▫️داستان روایی محتوا: از CVR لاوشه تا نظریات جدید در پست قبلی چند سؤال مطرح کردم و راستش خودم را گرفتار کردم! قرار بود در پست بعدی پاسخی کوتاه به آن‌ها بدهم، اما وقتی دنبال مستندات و منابع بیشتر رفتم، حاصل کار یک فایل PDF سی‌وشش‌صفحه‌ای شد؛ البته اعتراف می‌کنم که حاشیه‌های صفحات کمی بازتر و فاصله سطرها هم بیشتر از حد معمول است! بحث را از مقاله لاوشه آغاز کرده‌ام: اینکه این مقاله در چه فضای فکری و حرفه‌ای نوشته شد، …

❤15👍9👌5

14 Aug 2026, 19:42 UTC≈4,720 views30 reactionsread 5 November 2026

▫️نسبت روایی محتوا: عشق پژوهشگران ایرانی لاوشه در سال ۱۹۷۵، نسبت روایی محتوا (Content Validity Ratio) یا همان CVR را برای کمی‌سازی روایی محتوا مطرح کرد. در کنار آن، از شاخص روایی محتوا (Content Validity Index) یا CVI هم صحبت کرد. درباره این شاخص‌ها بعداً توضیح میدم؛ فعلاً بریم سراغ یک یافته جالب. رفتم سراغ دیتابیس Scopus و هرکدام از این دو شاخص را جداگانه جست‌وجو کردم. در جست‌وجوی سوم هم دنبال مقالاتی گشتم که هر دو…

❤12👍12👌6

9 Aug 2026, 18:38 UTC≈8,300 views28 reactionsread 5 November 2026

▫️اصول نگارش علمی و انتشار آثار زیست‌پزشکی: راهنمای سردبیران JAMA برای نویسندگان عنوان انگلیسی: Principles of Scientific Writing and Biomedical Publication: A JAMA Editors Guide for Authors راستش یه کم عجیب است که کتابی به این خوبی در سال ۲۰۲۴ منتشر شده و من تازه دارم باهاش آشنا می‌شوم! کافیست چند پاراگراف اول فصل اول را بخوانید تا کیفیت بالای کار دستتان بیاید. این کتاب یک راهنمای کاملاً کاربردی برای تقریباً تمام…

❤21👍4🙏3

8 Aug 2026, 18:27 UTC≈3,530 views21 reactionsread 5 November 2026

▫️تعلیق قضاوت جان دیویی (1859-1952)، یکی از برجسته‎ترین فیلسوفان قرن بیستم در آمریکا و از پیشگامان مکتب عمل‌گرایی، تعبیری دارد به این مضمون که تعلیق قضاوت (suspended judgment) جوهر و اساس تفکر نقادانه است. از نظر او، آموزش‌وپرورش باید عادتِ تعلیق قضاوت، شک‌ورزی و طلبِ شواهد را در انسان پرورش دهد. منظور از تعلیق قضاوت این نیست که اساساً قضاوت نکنیم؛ بلکه این است که در داوری شتاب نکنیم. قضاوت را تا زمانی که مسئله را …

❤18👌3

6 Aug 2026, 17:24 UTC≈4,660 views29 reactionsread 5 November 2026
Photo

▫️مترجم ChatGPT قبلاً باید پرامپت می‌دادیم تا ChatGPT متنی را ترجمه کند. اما به‌تازگی سرویس مترجم‌اش راه افتاده که شبیه Google Translate است. یعنی هر متنی را بدید، بصورت بلادرنگ و بدون نیاز به پرامپت، سریعاً به زبان مقصد ترجمه می‌کند. بیش از 40 زبان را پشتیبانی می‌کند که خوشبختانه یکی از آن‌ها زبان فارسی است. 🔗برای استفاده به لینک زیر بروید: https://chatgpt.com/translate/ #AI #ChatGPT #translation 🆔 @irevidence

❤17👍12

6 Aug 2026, 12:09 UTC≈3,790 views13 reactionsread 5 November 2026
Video

▫️فیلم ضبط شده وبینار غربالگری، استخراج داده و ارزیابی خطر سوگیری با Rayyan این وبینار در 11 مرداد 1405 برگزار شد. فیلم آن ضبط شد و مورد ویرایش قرار گرفت. اگر دوست داشتید می‌توانید از طریق لینک زیر تهیه فرمایید. https://pay.evidence.ir/link/776594 مدت زمان فیلم: 1 ساعت و 34 دقیقه حجم: 536 مگابایت نمونه کیفیتِ فیلم ضبط شده را می‌توانید مشاهده کنید. 🎁 کد تخفیف 15 درصدی برای 5 نفر اول: rayyan15 #rayyan 🆔 @irevid…

❤9🙏4

4 Aug 2026, 18:23 UTC≈10,300 views34 reactionsread 5 November 2026

▫️توئیکینگ: خطرناک‌ترین نوعِ تقلب علمی دانشگاه MIT به تازگی کتابی را منتشر کرده که نگاه جدیدی دارد به مقوله تقلب در پژوهش و بحران اعتبار علم. این کتاب را Thomas Plümper و Eric Neumayer نوشته‌اند: The Credibility Crisis in Science: Tweakers, Fraudsters, and the Manipulation of Empirical Results دو نوع تقلب در پژوهش وجود دارد که خیلی آشکار و واضح هستند و در غیراخلاقی بودن آنها شکی نیست. یکی داده‌سازی (Data Fabricati…

👌24❤8👍2

Showing the 12 most recent of 31 posts we hold for @irevidence. 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.

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 22 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.

Named by

Channels on the register whose posts name this channel's handle.

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Evidence” (@irevidence), 6,071 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/irevidence.

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.