27 measurements spanning 27 days, net -578. 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 29,633–30,385 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
3 Sept 2026, 00:33
29,720
-14
1 Sept 2026, 23:16
29,734
-4
31 Aug 2026, 21:24
29,738
-10
30 Aug 2026, 23:26
29,748
-27
30 Aug 2026, 00:17
29,775
-13
28 Aug 2026, 21:24
29,788
-18
28 Aug 2026, 00:43
29,806
-11
27 Aug 2026, 03:38
29,817
-15
26 Aug 2026, 03:26
29,832
-29
25 Aug 2026, 05:54
29,861
-19
24 Aug 2026, 09:17
29,880
-24
22 Aug 2026, 19:18
29,904
-30
21 Aug 2026, 11:29
29,934
-54
20 Aug 2026, 14:36
29,988
-93
19 Aug 2026, 16:53
30,081
-37
18 Aug 2026, 14:24
30,118
-19
17 Aug 2026, 14:12
30,137
-20
16 Aug 2026, 04:08
30,157
-40
14 Aug 2026, 14:18
30,197
-24
13 Aug 2026, 05:56
30,221
first reading
Engagement
50 posts held, back to 13 June 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 60 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.77%
avg views ÷ 29,720 subscribers
Avg views / post
2,310
32 posts measured
Reaction rate
0.185%
reactions ÷ views · ER floor
Posts in window
32
of 50 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 31 of 32 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 3 September 2026
Posts held
50 (13 June 2026 – 3 September 2026)
Views total
73,941
Reactions total
131
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Sept 2026, 11:49 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
Photos
≈1,580
Videos
≈2,230
Links
≈418
Lifetime counters from Telegram’s own channel header, read 4 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
8m 05s
Average length
54s
Measured directly from 9 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
131 reactions across 31 posts, in 4 distinct kinds. The most used accounts for 60.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
79
60.3%
🗿
33
25.2%
👍
17
13.0%
👎
2
1.53%
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 32 of the 50 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 131 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 13 June 2026 to 3 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.
مراحل تشکیل تخمک
1. درون تخمدان، بافتی به نام تخمهزا شکل میگیرد.
2. یک سلول از آن، مادرِ مگاسپور میشود.
3. این سلول با میوز، چهار مگاسپور هاپلوئید ایجاد میکند.
4. معمولاً ۳ مگاسپور از بین میروند و یکی باقی میماند
5. مگاسپور باقیمانده چند بار میتوز انجام میدهد و کیسهٔ رویانی را تشکیل میدهد.
6. در کیسهٔ رویانی، یاختهٔ تخم در کنار دو یاختهٔ همراه قرار میگیرد.
تخمکِ ضمیمه
در گیاهان، تخمک ساختاری درون ت…
این تصویر لقاح مضاعف در گیاهان گلدار را نشان میدهد. 🌱🌸
ابتدا دانهٔ گرده روی کلاله قرار میگیرد و لولهٔ گرده به سمت تخمک رشد میکند. این لوله دو گامت نر را وارد کیسهٔ رویانی میکند.
🔹 گامت نر اول با یاختهٔ تخم ترکیب میشود و زیگوت (۲n) را به وجود میآورد. زیگوت با تقسیمهای بعدی به جنین تبدیل میشود.
🔹 گامت نر دوم با دو هستهٔ قطبی ترکیب میشود و هستهٔ آندوسپرم (۳n) را تشکیل میدهد. آندوسپرم مواد غذایی مورد نیاز جن…
🛡️ دستگاه ایمنی در برابر بیماری
دستگاه ایمنی وظیفه دارد بدن را در برابر عوامل بیماریزا و یاختههای غیرطبیعی محافظت کند.
🔹 دفاع غیر اختصاصی:
اولین مراحل دفاعی بدن هستند و در برابر عوامل مختلف عمل میکنند؛ مثل پوست، مخاط، التهاب و بیگانهخواری.
🔹 دفاع اختصاصی:
عامل بیگانه را بهصورت اختصاصی شناسایی میکند. لنفوسیتهای B و T در این دفاع نقش دارند.
🔹 پادتنها:
لنفوسیتهای B میتوانند به تولید پادتن منجر شوند؛ پادتن…
🧠 تحلیل تست
✅ پاسخ صحیح: گزینه ۲
گزینه ۱ ❌
گردهافشانی و لقاح یکی نیستند. گردهافشانی یعنی انتقال دانهٔ گرده به کلاله؛ لقاح در ادامه و با پیوستن گامتها رخ میدهد.
گزینه ۲ ✅
درست است. پس از قرار گرفتن دانهٔ گرده روی کلاله، دانهٔ گرده میتواند لولهٔ گرده ایجاد کند و این لوله به سمت تخمدان رشد کند.
گزینه ۳ ❌
تخمدان به میوه و تخمک به دانه تبدیل میشود.
گزینه ۴ ❌
تخمکها درون تخمدان قرار دارند، نه خامه.
🎯 نکته کنکو…
این تصویر نحوهٔ تشکیل انسولین فعال را نشان میدهد:
A chain و B chain: انسولین از دو زنجیرهٔ پلیپپتیدی به نامهای زنجیرهٔ A و B تشکیل شده است.
این دو زنجیره در ابتدا جدا هستند و بعد با ایجاد پیوندهای دیسولفیدی به هم متصل میشوند.
در نتیجه، ساختار سهبعدی مشخصی ایجاد میشود که همان انسولین فعال است.
پیوندهای دیسولفیدی باعث پایدار شدن ساختار انسولین میشوند.
انسولین یک هورمون پروتئینی/پلیپپتیدی است که در تنظیم …
جزایر لانگرهانس پانکراس و تولید انسولین
جزایر لانگرهانس بخش درونریز پانکراس هستند و از سلولهای مختلفی تشکیل شدهاند. مهمترین آنها برای تنظیم قند خون، سلولهای بتا هستند.
🔹 وقتی گلوکز خون افزایش پیدا میکند، سلولهای بتای جزایر لانگرهانس تحریک میشوند و انسولین ترشح میکنند.
🔹 انسولین باعث میشود گلوکز راحتتر وارد بسیاری از سلولهای بدن شود و همچنین ذخیره شدن گلوکز به شکل گلیکوژن را در کبد و ماهیچهها افزایش م…
🔎 تحلیل تست
پاسخ صحیح: گزینه ۳ ✅
گزینه ۱: درست ✅
مهاجرت افراد به داخل یک جمعیت (مهاجرتپذیری) میتواند اندازه جمعیت را افزایش دهد.
گزینه ۲: درست ✅
کاهش زاد و ولد باعث کاهش ورود افراد جدید به جمعیت و در نتیجه کاهش رشد جمعیت میشود.
گزینه ۳: نادرست ❌
مرگومیر باعث کاهش اندازه جمعیت میشود، نه افزایش آن. بنابراین این گزینه پاسخ سؤال است.
گزینه ۴: درست ✅
زاد و ولد، مرگومیر و مهاجرت از عوامل مهم مؤثر بر تغییر اندازه…
🧠 چرا بعضی وقتها بعد از مطالعه فکر میکنی مبحث رو بلدی، اما وقتی تست میزنی متوجه میشی هنوز کامل مسلط نیستی؟
گاهی یک فصل رو با دقت میخونی، نکاتش رو چند بار مرور میکنی و همهچیز برات آشناست؛ اما وقتی کتاب رو میبندی و سراغ تست میری، بعضی سؤالها برات سخت میشن!
۱. مشکل از کجاست؟
آشنا بودن با یک مطلب، همیشه به معنی تسلط کامل روی اون نیست. ممکنه هنگام دیدن متن، مطالب رو بشناسی؛ اما برای پاسخ دادن به سؤال، نتونی ا…
🫁 ساختار حبابکهای ریوی
حبابکهای ریوی، کیسههای هوایی بسیار کوچکی هستند که در انتهای نایژکها قرار دارند و محل اصلی تبادل گازهای تنفسی هستند.
ویژگیهای ساختاری:
دیوارهٔ حبابکها بسیار نازک است تا انتشار گازها سریع انجام شود.
سطح حبابکها با شبکهٔ زیادی از مویرگهای خونی احاطه شده است.
دیوارهٔ حبابک و دیوارهٔ مویرگ، فاصلهٔ کمی با هم دارند؛ بنابراین اکسیژن و کربندیاکسید بهراحتی بین هوا و خون جابهجا میشوند.
…
🧠 چرا بعضی چیزهایی که میخوانیم، بعد از چند روز یادمان نمیمانند؟
🔍 بررسی تأثیر «مرور فاصلهدار» بر تثبیت مطالب در حافظه
تا حالا شده یک مبحث را همان روز کاملاً مسلط باشی، اما چند روز بعد وقتی دوباره سراغش میروی، احساس کنی خیلی از نکاتش از ذهنت رفته؟
این موضوع کاملاً طبیعی است؛ چون یادگیری فقط به مطالعهی اولیه وابسته نیست، بلکه زمانبندی مرورها هم نقش مهمی دارد.
🔹 ۱. مرور فاصلهدار یعنی چه؟
بهجای اینکه یک مطلب …
❤5👍2
Showing the 12 most recent of 50 posts we hold for @StudyMedical. 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.
Posts edited after publishing
@StudyMedical edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
31 August 2026
Most recent edit
31 August 2026
Polls
The 5 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
در غدد معده، اگر فعالیت یاختههای کناری کاهش یابد، کدام مورد لزوماً کاهش مییابد؟
ترشح پپسینوژن و تبدیل آن به پپسین16%
ترشح عامل داخلی و جذب ویتامین B1259%
ترشح ماده مخاطی و محافظت از دیواره معده15%
تولید مستقیم پپسین و ساخت گویچههای قرمز11%
Shares as published, totalling 101%. 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 50 most recent posts we hold, published 13 June 2026 to 3 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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@StudyMedical named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@zist_jozv named in 8 posts, 8 August 2026 – 16 August 2026
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.
KIA | آکادمی دکتر سادات رفیعی @zist_kia · 745 Telegram ranks this channel #20 of 87 here — alongside 86 others — read 28 August 2026
آناتومی پزشکی @Med_anatomy · 35,390 Telegram ranks this channel #22 of 85 here — alongside 84 others — read 2 September 2026
زیستشناسی به سبک رضا عسگری (کانال رسمی) @bioasgarii · 57,074 Telegram ranks this channel #32 of 86 here — alongside 85 others — read 22 August 2026
فیلم کنکوری و درسی @Filmkonkorix · 37,545 Telegram ranks this channel #39 of 75 here — alongside 74 others — read 31 August 2026
کلاسینو | Classino @Clasinu · 36,422 Telegram ranks this channel #40 of 74 here — alongside 73 others — read 1 September 2026
زمین شناسی کنکور | عرفان هاشمی @zamin_kunkor11 · 47,318 Telegram ranks this channel #79 of 84 here — alongside 83 others — read 27 August 2026
🏮فانوسیت | fanocyt @fanocyt · 47,517 Telegram ranks this channel #85 of 87 here — alongside 86 others — read 26 August 2026
This channel appears in 7 seed channels' Telegram-generated recommendation lists 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 3 September 2026 — this
entry's latest reading, not the date you are reading this.
“Medical Study” (@StudyMedical), 29,720 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/StudyMedical.
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.