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 We do not publish numbers we have not measured.
Engagement
20 posts held, back to 5 September 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 99.2%
- avg views ÷ 192 subscribers
- Avg views / post
- 190
- 20 posts measured
- Reaction rate
- 5.25%
- reactions ÷ views · ER floor
- Posts in window
- 20
- 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.
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
- 46
- Videos
- 15
- Links
- 9
Lifetime counters from Telegram’s own channel header, read 27 September 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
- 4m 59s
- Average length
- 4m 59s
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
200 reactions across 20 posts, in 17 distinct kinds. The most used accounts for 57.5% of them.
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 200 reactions 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 September 2026 to 23 September 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
23 Sept 2026, 16:53 UTC111 views9 reactionsread 27 September 2026 سلام دوستان 🖐🏻😃
اگر دنبال یادگیری اصول برنامه نویسی پایتون و متلب هستید 👩🏻💻👨🏻💻
و از طرف دیگه می خواید تحلیل داده های EEG با استفاده از پایتون و متلب و همیچنین یادگیری عمیق رو یاد بگیرید 👨🏫👩🏫
و در عمل با یه تیر چندین و چند نشون بزنید 🎯، با دکتر صباغی پور آشنا بشید؛
به کانال یوتیوبشون یه سر بزنید و آموزش هاشون رو ببینید!
#آموزش_برنامه_نویسی
#پایتون #متلب #يادگيری_عمیق #هوش_مصنوعی
❤6⚡1❤🔥1💯1
20 Sept 2026, 03:45 UTC160 views9 reactionsread 27 September 2026 Video message
Video message, posted without a caption
❤6👏2❤🔥1
20 Sept 2026, 03:45 UTC145 views9 reactionsread 27 September 2026 Video message
Video message, posted without a caption
❤6👍2💯1
20 Sept 2026, 03:44 UTC144 views9 reactionsread 27 September 2026 Video message
Video message, posted without a caption
❤7🍾1😍1
16 Sept 2026, 09:12 UTC217 views11 reactionsread 27 September 2026 - به زودی یه گروه برای این مرحله تشکیل میدم 🤓؛
فقط لطفا اگر مایلید برای شرکت کردن، به این سوال ها جواب بدید تا بهتر بتونم برنامه ریزی کنم🙏🏻🙂
براتون شاید سوال باشه که آیا ورود به این برنامه هزینه ای داره یا نه؛
نه دوستان هزینه ای نداره و کاملا رایگان هست👍🏻⚡️
❤8👌1🤩1🥰1
16 Sept 2026, 07:08 UTC182 views15 reactionsread 27 September 2026 برای این مطالعه عمیق ما باید بتونیم اطلاعات درست و معتبر رو پیدا کنیم و تشخیص بدیم 🔎؛
و قصد من اینه که این رو براتون میسر کنم 😀🌱
❤12❤🔥1🔥1😍1
16 Sept 2026, 07:08 UTC174 views12 reactionsread 27 September 2026 بچه ها این نکته رو حتما مد نظر داشته باشید که پژوهش صرفا نوشتن مقاله نیست!
متاسفانه به اشتباه جا افتاده که پژوهش صرفا باید با تولید مقاله های متعدد همراه باشه 👎🏻، در صورتی که اینطور نیست؛ ما می خوایم در حیطه هایی که هستیم یا می خوایم وارد شیم مطالعه کنیم و عمیق شیم تا کم کم گپ های پژوهشی که وجود داره رو شناسایی کنیم و روی اون ها کار کنیم، و این روند می تونه با نگارش مقاله (مقالات) ادامه پیدا کنه 📒👌🏻.
❤8👍3🐳1
16 Sept 2026, 07:08 UTC171 views10 reactionsread 27 September 2026 ✅️ در راستای ادامه روند پژوهشی خدمتتون بگم:
برنامه ای که دارم این هست که بعد از آموزش اولیه با هم و به صورت عملی اون ها رو یاد بگیریم، و در حیطه ای که هرکدوممون مد نظرمون هست بتونیم عمیق تر شیم و درست مطالعه کنیم 🤝🏻👌🏻.
❤9⚡1
15 Sept 2026, 18:02 UTC178 views7 reactionsread 27 September 2026 Poll
ویدئوهای آموزش پژوهش رو دیدید؟! 👀
- آره دیدم7%
- آره ولی کامل ندیدم10%
- ندیدم ولی برنامه دارم ببینم69%
- ندیدم و (فعلا) برنامه ای برای دیدنشون ندارم14%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
❤4👏1🥰1😁1
15 Sept 2026, 17:59 UTC152 views6 reactionsread 27 September 2026 - رشته تحصیلی شما چیه؟!
- رشته و زمینه ای که دوست دارید داخلش عمیق شید و پژوهش کنید چیه؟!
جواب این دوتا سوال رو لطفا به پی وی من بفرستید 🙏🏻👍🏻
@NaviSciQ
❤3❤🔥1👍1🔥1
15 Sept 2026, 17:59 UTC163 views7 reactionsread 27 September 2026 سلام دوستان 🤚🏻😃
وقتتون بخیر 🌱
امیدوارم حالتون خوب باشه 🌟
قصد دارم فاز بعدی روند پژوهشی رو شروع کنم 🤝🏻⚡️؛
حقیقتا خیلی از انگیزه های پژوهشی با متوقف شدن در فاز آموزش خاموش میشن، ولی ما روشن نگهش میداریم👌🏻🔦 !
اما قبلش نیازه یه سری موارد رو بدونم درباره شما که خوشحال میشم پاسخ بدید:
❤4🔥1🥰1😁1
9 Sept 2026, 19:44 UTC230 views8 reactionsread 27 September 2026 و جالبه بدونید نورمن گشویند پسرعموی پدر دنیل گشوینده 🤠🥸!
❤🔥4❤1👍1🔥1😁1
Showing the 12 most recent of 20 posts we hold for @Cognotivesupplements. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
15 Sept 2026, 18:02 UTCAnonymous Poll29 voters ویدئوهای آموزش پژوهش رو دیدید؟! 👀
- آره دیدم7%
- آره ولی کامل ندیدم10%
- ندیدم ولی برنامه دارم ببینم69%
- ندیدم و (فعلا) برنامه ای برای دیدنشون ندارم14%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 5 September 2026 to 23 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 1 registered channel — 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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“Cognitive supplements | مکمل های شناختی” (@Cognotivesupplements), 192 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/Cognotivesupplements.
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.