3 measurements spanning 3 days, net +7. 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 1,081–1,090 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Aug 2026, 20:52
1,089
+7
6 Aug 2026, 12:22
1,082
no change
6 Aug 2026, 09:34
1,082
first reading
Engagement
20 posts held, back to 16 July 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
44.3%
avg views ÷ 1,089 subscribers
Avg views / post
483
19 posts measured
Reaction rate
1.38%
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. It is computed over the 17 of 19 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 1 August 2026
Posts held
20 (16 July 2026 – 1 August 2026)
Views total
9,176
Reactions total
119
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 12:22 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
119 reactions across 16 posts, in 5 distinct kinds. The most used accounts for 88.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
105
88.2%
👍
8
6.72%
🙏
3
2.52%
🤔
2
1.68%
👏
1
0.84%
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 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 119reactions 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 16 July 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.
به اطمینان بهتون بگم این جزوه نه تنها جایگزین کتاب ، حتی از کتابش هم بهتره😍
البته این حرف را ما تنها نمیزنیم، پیام های بسیاااااار زیاد رضایت شما و توصیفی که داوطلبین از جزوه، طی این چند سال داشتند ، اینو میگفتند👌
تهیه و پاسخ به سوالات شما:
@memoricadmin
📚✨ اگه دنبال یه جزوهی کامل و بینقص برای کتاب «درآمدی بر علوم شناختی» دکتر حاتمی هستی، این همون جزوه است !
کتاب پر از نکته ای که از منابع اصلی کنکور ارشد و دکتری علوم شناختی است👌
🌟ویژگی های جزوه خلاصه شده:
جزوه شامل 185 صفحه و ۶ فصل می باشد.
🔹 همه فصلها رو به زبانی ساده و روان با تصاویر مرتبط، جداول و … برای فهم بیشتر خلاصه شده
🔹 نکات ریز و مهمی که موقع جمعبندی ممکنه از دستت در بره، بطور کامل در جزوه ذکر شده
🔹 …
این سال ها؛
📖کتاب برمودز از منابع بسیاررررر مهم و اصلی برای کنکور دکتری علوم شناختی می باشد
📍اگر کتاب را خوانده باشید ، متن دشوار و بدفهمی دارد؛ که این کتابچه با نثر روان میتواند مشکل گشا باشد؛
🧷با توجه به ویژگی های منحصر به فرد کتابچه؛ توصیه اکید بر خواندن این منبع به خصوص این جزوه جایگزین به شما داوطلب عزیز دکتری خواهیم داشت👌
*📚کتابچه جامع «مبانی نظریههای علوم شناختی» (برمودز)*
✏️*تدوین و تنظیم: میلاد شهابی*
📖جزوه حاضر یک منبع کامل، دقیق و متناسب با نیازهای داوطلبان کنکور دکتری علوم شناختی است و بر اساس کتاب معتبر
«مبانی نظریههای علم شناخت: مقدمهای بر علم ذهن»
نوشتهی هوزی لوئیس برمودز و ترجمهی سید کمال خرازی تدوین شده است.
🎯این جزوه تمامی مباحث اصلی و مورد انتظار در بخش «مبانی علوم شناختی» آزمون دکتری را در قالبی ساختارمند، روان و…
با خیال راحت میتونی کتابچه شناخت پژوهی دکتر شهابی را جایگزین دو جلد کتاب اصلی کنی👌
هم متن ساده و روانتر هست،
هم از تصاویر و نمودارهای جمع بندی استفاده شده
هم تست های تالیفی داره
و هم مدرس باسابقه درس شناخت پژوهی این خلاصه را گردآوری کرده ، پس به همه نکات کنکوری این درس اشراف را داشته و کتابچه نوشته شده
📕کتابچه "مبانی علوم شناختی: شناخت پژوهی یا علم شناخت (فردنبرگ)"
✏️تدوین: میلاد شهابی، دکتری شناخت اجتماعی
📖اگر برای کنکور ارشد یا دکتری رشتهی علوم شناختی دنبال یه منبع جامع، دقیق و کاملاً کنکوری برای درس مبانی و اصول علوم شناختی هستی، این جزوه، منبعی هست که می تونه تو رو از مطالعه کتاب بی نیازت کنه،
این جزوه بر پایهی کتاب
«شناختپژوهی» فردنبرگ (ترجمه دکتر قاسمزاده) نوشته شده و کاملاً منطبق با آخرین ویرایش این م…
نوشتن این کتابچه با توجه به حجم بسیار بالای مطالب ، و وسواس نویسنده در کامل بودن جزوه،
جزو دشوارترین و زمان برترین جزوات بود؛
و در نهایت اضافه کردن مجموعه سوالات ، جزوه ای دقیق و کامل را فراهم کرد که داوطلب با خیال راحت این کتابچه را جایگزین کتاب نماید👌
☘️بیش از ۸۰ درصد مطالب در جزوه گنجانده شده و منبعی کامل، روان، قابل فهم در اختیار شما است
تهیه و کسب اطلاعات بیشتر
@memoricadmin
📝گردآورنده: الهام مهآبادیپور
دکتری روانشناسی شناختی
📕این کتابچه، یک بازنویسی جامع، منسجم و آزمونمحور از کتاب روانشناسی شناختی استرنبرگ (ویرایش هفتم) است که با هدف فراهمکردن منبعی قابل اعتماد برای داوطلبان تحصیلات تکمیلی تدوین شده است.
🌟تمامی مفاهیم کلیدی کتاب—از جمله نکات زیر شکلها، مطالب حاشیهای، بخشهای «در آزمایشگاه» و «بیشتر بدانیم»—بهصورت کامل استخراج و بازآرایی شدهاند تا مطالعهای آسان، روان و بدون …
هم آمار توصیفی و استنباطی و هم روش تحقیق
مطابق با سوالات کنکور علوم شناختی
با این کتابچه، شما نیاز به خواندن کتاب های کمک درسی رشته روانشناسی را نخواهید داشت
چون کاملترین منبع آمار و روش تحقیق کنکور علوم شناختی میباشد👌
❤5
Showing the 12 most recent of 20 posts we hold for @memoriccenter. 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.
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 16 July 2026 to 1 August 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.
Citation-graph rank
Citation-graph rank — 404,150 of 1,183,361entries 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 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 9 August 2026 — this
entry's latest reading, not the date you are reading this.
“مموریک؛ کنکور علوم شناختی” (@memoriccenter), 1,089 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/memoriccenter.
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.