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Channel

Alizlablife

@alizlablife

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

475subscribers

+59 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001944435349
TypeChannel
Username@alizlablife
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 September 2026
Last confirmed live13 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 13 September 2026
On Telegramt.me/alizlablife

Topic

Health & wellness — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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 why it has no browse page of its own yet.

Growth

416475445.57 August 2026 — 416 subscribers15 August 2026 — 418 subscribers22 August 2026 — 424 subscribers28 August 2026 — 436 subscribers5 September 2026 — 460 subscribers7 September 2026 — 460 subscribers13 September 2026 — 475 subscribers7 August 202613 September 2026
7 measurements spanning 37 days, net +59. 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 407–484 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Sept 2026, 18:14475+15
7 Sept 2026, 17:22460no change
5 Sept 2026, 08:59460+24
28 Aug 2026, 23:47436+12
22 Aug 2026, 13:27424+6
15 Aug 2026, 17:13418+2
7 Aug 2026, 16:50416first reading

Engagement

20 posts held, back to 25 July 2025 — 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
29.3%
avg views ÷ 475 subscribers
Avg views / post
139
1 post measured
Reaction rate
2.88%
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 31 August 2026
Posts held20 (25 July 2025 – 31 August 2026)
Views total139
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Sept 2026, 17:22 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

24 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 45.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1145.8%
👏625.0%
❤‍🔥312.5%
👍28.33%
👌14.17%
🔥14.17%

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 15 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 24 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 25 July 2025 to 31 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

31 Aug 2026, 12:51 UTC139 views4 reactionsread 7 September 2026
File

📌 برنامه علمی و زمان‌بندی روزانه کنگره همراهان گرامی، در این فایل، جدول زمان‌بندی دقیق و برنامه‌های علمی کنگره امسال (شامل نشست‌های تخصصی، پنل‌ها و ارائه‌های شفاهی/پوستر) به تفکیک روز و ساعت گردآوری شده است تا بتوانید به راحتی برنامه‌ریزی حضور خود در بخش‌های مختلف را انجام دهید. 🔹 محتوای فایل: • زمان‌بندی نشست‌ها و سخنرانی‌های کلیدی • سالن‌ها و محورهای تخصصی هر روز 🆔 @alizlablife

❤4

8 Jul 2026, 10:59 UTC390 views2 reactionsread 7 September 2026
Photo

📚 کتاب تشخیص بیماری‌های اتوایمیون https://t.me/alizlablife

❤1❤‍🔥1

8 Jul 2026, 10:56 UTC346 views1 reactionsread 7 September 2026
File

📚 کتاب تشخیص بیماری‌های اتوایمیون اگر کارشناس آزمایشگاه، دانشجوی علوم آزمایشگاهی یا در حوزه ایمونولوژی و تشخیص آزمایشگاهی فعالیت می‌کنید، این کتاب یکی از منابع کاربردی و ارزشمند برای شماست. ✅ آشنایی با بیماری‌های اتوایمیون ✅ تفسیر تست‌های آزمایشگاهی مرتبط ✅ مناسب برای افزایش دانش تخصصی و کار بالینی پیشنهاد می‌کنم این کتاب را از دست ندهید و برای همکاران آزمایشگاهی هم ارسال کنید. 👇 📌 کانال تخصصی علوم آزمایشگاهی: h…

❤‍🔥1

8 Jul 2026, 10:46 UTC316 views1 reactionsread 7 September 2026
Photo

📚 بیوشیمی لنینجر (PDF) رایگان یکی از بهترین منابع بیوشیمی که هر کارشناس آزمایشگاه باید داشته باشه. 🔁 اگه به دردتون خورد، برای دوستاتون فوروارد کنید. 📥 منابع و کتاب‌های رایگان بیشتر آزمایشگاهی: https://t.me/alizlablife

❤‍🔥1

8 Jul 2026, 10:37 UTC257 viewsread 7 September 2026
File

📚 بیوشیمی لنینجر (PDF) رایگان یکی از بهترین منابع بیوشیمی که هر کارشناس آزمایشگاه باید داشته باشه. 🔁 اگه به دردتون خورد، برای دوستاتون فوروارد کنید. 📥 منابع و کتاب‌های رایگان بیشتر آزمایشگاهی: https://t.me/alizlablife

7 Nov 2025, 06:38 UTC480 views1 reactionsread 7 September 2026
Photo

🔬اپروچ به ماکروسیتیک آنمی https://t.me/alizlablife

🔥1

7 Nov 2025, 06:33 UTC467 views2 reactionsread 7 September 2026

آزمایش HbA1c. اگر نتیجه به صورت زیر باشد: ✅ کمتر از ۵.۶ → طبیعی https://t.me/alizlablife ⚠️ بین ۵.۷ تا ۶.۴ → مرحله پیش‌دیابت (در آستانه دیابت) ❗ ۶.۵ یا بالاتر → دیابت، نیاز به پیگیری و درمان دارد https://t.me/alizlablife 🎯 این آزمایش برای بیماران دیابتی بسیار مهم است تا اثربخشی درمان خود را ارزیابی کنند.

👏2

6 Nov 2025, 11:00 UTC403 views1 reactionsread 7 September 2026
Photo

⭕️تست اسید فست https://t.me/alizlablife

❤1

5 Nov 2025, 06:10 UTC369 views1 reactionsread 7 September 2026

🔹 تفاوت ساده بین PT و PTT اول: PT (Prothrombin Time) این تست مسیر خارجی (Extrinsic) و مشترک (Common) در انعقاد خون را اندازه‌گیری می‌کند. یعنی وقتی زخمی از بیرون بدن ایجاد می‌شود، بدن باید سریع جلوی خون‌ریزی را بگیرد. ⬆️ مقدار PT در موارد زیر افزایش پیدا می‌کند: کمبود ویتامین K بیماری‌های کبدی مصرف داروی وارفارین (Warfarin) کمبود فاکتورهای انعقادی: VII, X, V, II @alizlablife دوم: PTT یا APTT (Activated Partial Thro…

❤1

4 Nov 2025, 06:52 UTC397 views2 reactionsread 7 September 2026
File

این کتابو سیو داشته باشید مخصوصا بچه های میکروب🌱 @alizlablife

👏2

3 Nov 2025, 12:37 UTC387 views3 reactionsread 7 September 2026

🧑🏻‍🔬 رابطه‌ی بین کلسیم و آلبومین در خون 😇 ابتدا باید بدانیم که حدود ۹۹٪ از کلسیم بدن در استخوان‌ها و دندان‌ها قرار دارد و تنها حدود ۱٪ در خون وجود دارد. 🩸 کلسیم موجود در خون به چند شکل تقسیم می‌شود 👇👇👇 🔹 حدود ۴۵٪ از کلسیم خون به صورت یونیزه (Ionized Calcium) است. 🔹 حدود ۴۰٪ از کلسیم خون به پروتئین آلبومین متصل است (Bound to Albumin). 🔹 حدود ۱۵٪ با آنیون‌ها (Anions) پیوند دارد. @alizlablife 1️⃣ سؤال اول: در چه بیمار…

❤3

Showing the 12 most recent of 20 posts we hold for @alizlablife. 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

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.

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 13 September 2026 — this entry's latest reading, not the date you are reading this.

“Alizlablife” (@alizlablife), 475 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/alizlablife.

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.