اگه روش مطالعه رو بلد نباشی...👩🎓❌ سرعتت پایینه 🐢 چند ساعت درس میخونی، ولی چیزی یادت نمیمونه! 📕 هر بار که کتاب رو باز میکنی، انگار باید از اول شروع کنی! 🔄 دائم حس میکنی وقتتو هدر دادی ⏳ احتمالاً زود از مطالعه خسته میشی و رهاش میکنی...! 📌 مشکل اینه که روش اصولی مطالعه رو بلد نیستی! 💡 حالا تصور کن... هر چی میخونی رو سریع یاد میگیری. 🧠 دیگه لازم نیست چند بار یه مطلب رو بخونی.🔑 خلاصه برداری حرفه ای میکنی 🌱 با یه…

Channel
لینکدونی حقوقی زری و باران😍
@tabliqatgera
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,521subscribers
+10 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001360758469 |
|---|---|
| Type | Channel |
| Username | @tabliqatgera |
| Description | مدیران: باران جان @Baraaannnn زری بانو @zari_mah_banoo22 گروه کوییز از قوانین خاص @Gavaninkhas99 گروه بسته های رتبه شوووو @rotbesho99 https://t.me/tabliqatgera |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/tabliqatgera |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 07:26 | 9,521 | +9 |
| 10 Aug 2026, 09:51 | 9,512 | +2 |
| 7 Aug 2026, 11:45 | 9,510 | -1 |
| 7 Aug 2026, 00:30 | 9,511 | no change |
| 7 Aug 2026, 00:19 | 9,511 | first reading |
Engagement
21 posts held, back to 29 October 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.10%
- avg views ÷ 9,521 subscribers
- Avg views / post
- 676
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 21 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.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 21 (29 October 2024 – 10 August 2026) |
| Views total | 1,352 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 08:26 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
- 4
- Videos
- 1
- Links
- 164
Lifetime counters from Telegram’s own channel header, read 15 August 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.
Reaction mix
52 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 71.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 37 | 71.2% | |
| 😁 | 8 | 15.4% | |
| 👏 | 3 | 5.77% | |
| 🤬 | 2 | 3.85% | |
| 😢 | 1 | 1.92% | |
| 🤯 | 1 | 1.92% |
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 21 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 52reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 29 October 2024 to 10 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
به هیچ عنوان این فرصت را از دست نده👍 ظرفیت حافظه کوتاه مدت بسیار محدود هست و اگر شیوه اصولی خواندن بلد نباشید از این ور میخونید از اون ور فراموش میکنید قطعا با شیوه فعال سازی ذهنی میشه اطلاعات رو در مدت زمان کوتاه سریع حفظ و برای مدت ها بیاداوری قوی داشت 👇👇 برای ثبت نام و اطلاع از شرایط دوره تندخوانی پیام بده👇👇 @book_bayan لینک گروه @tondkhani_m_nazari
سوالات ازمون و درسنامه های ازمون۱۴۰۴ موسسه دادِستان که تا بحال برگزار شده 👇👇👇👇 @baran_voicelaw_file
❤5
✅ تابستان بهترین فرصت برای چند برابر کردن سرعت مطالعه و درک مطلب👌 جهت تهیه دوره تندخوانی👇👇 @book_bayan @book_bayan باپشتیبانی ایشون خیلیا به مهارتی از خوندن رسیدن که تونستن درآزمون قبول بشن لینک گروه👇 @tondkhani_m_nazari
❤7
▫️برملا شدن راز افزایش حداقل ۳برابری سرعت مطالعه کتب درسی پیچیده همراه با درک کامل! ▫️متد یادگیری بدون فراموشی ! ▫️افزایش ۸ برابری حافظه به روش مردحافظه جهان ▫️خداحافظی با عدم تمرکز و وسواس مطالعه و خواب آلودگی حین مطالعه! ------------------------------------------- ❌ مخصوص همه سنین در تمامی رشته ها (حقوق. روانشناسی . مهندسی . قضاوت .پرستاری . پزشکی . رشته های تحصیلی و کنکوری ) آیدی ثبت نام جهت خرید دوره تندخوانی …
❤2🤬2😁2
ازمون ازمایشی دادافرین ۴۰۴ همراه با پاسخنامه 👇👇👇 https://t.me/baran_voicelaw_file/36097
🟢 آزمونهای آنلاین وکالت 🟢 ♨️ فرصت خیلی عالی برای قرارگیری در شرایط آزمون اصلی وکالت و آمادگی صد درصدی 🌀 150 آزمون آنلاین از آزمون های 6 سال اخیر کانون وکلا و مرکز وکلا + آزمونهای تالیفی ◀️ آزمونها از طریق سایت میباشد ◀️ با درصد گیری و احتساب نمره منفی ◀️ همراه با پاسخنامه(کلید رسمی) ◀️ آزمون هر درس بصورت جداگانه ◀️ با امکان شرکت چندباره در هر آزمون ◀️ با امکان دسترسی به تستها بعد از آزمون برای مرور با جواب صحیح ◀…
❤6
▫️برملا شدن راز افزایش حداقل ۳برابری سرعت مطالعه کتب درسی پیچیده همراه با درک کامل! ▫️متد یادگیری بدون فراموشی ! ▫️افزایش ۸ برابری حافظه به روش مردحافظه جهان ▫️خداحافظی با عدم تمرکز و وسواس مطالعه و خواب آلودگی حین مطالعه! ------------------------------------------- ❌ مخصوص همه سنین در تمامی رشته ها (حقوق. روانشناسی . مهندسی . قضاوت .پرستاری . پزشکی . رشته های تحصیلی و کنکوری ) آیدی ثبت نام جهت خرید دوره تندخوانی …
❤4
لینکدونی حقوقی زری و باران😍 pinned «🐠برنامه ۴ ماهه آزمون کانون وکلا ۱۴۰۴ "باران جان" هزینه ثبت نام ۲۸۰ تومن 🐬برنامه ۷۰ روزه آزمون مرکز وکلا ۱۴۰۴ "باران جان" هزینه ثبت نام ۳۲۰ تومن آغاز برنامه شنبه ۲۱ تیر برای گرفتن برنامه به این ایدی پیام بدین👇 @Baraaannnn @zari_mah_banoo22»
🐠برنامه ۴ ماهه آزمون کانون وکلا ۱۴۰۴ "باران جان" هزینه ثبت نام ۲۸۰ تومن 🐬برنامه ۷۰ روزه آزمون مرکز وکلا ۱۴۰۴ "باران جان" هزینه ثبت نام ۳۲۰ تومن آغاز برنامه شنبه ۲۱ تیر برای گرفتن برنامه به این ایدی پیام بدین👇 @Baraaannnn @zari_mah_banoo22
😁2❤1
نمونه هفته اول برنامه 70 روزه آزمون مرکز وکلا ۱۴۰۴ بنام دور سلام 🙋♀ تهیه کننده : باران جان 💥آغاز اجرای برنامه شنبه ۲۱ تیر ماه ۱۴۰۴ ❤️🦋💥 جهت عضویت در کانال vip و استفاده از برنامه هفتگی 70 روزه آزمون مرکزوکلا و واریز مبلغ ۳۲۰ هزارتومن به یکی از آیدی زیر مراجعه کنید @Baraaannnn @zari_mah_banoo22
😁4❤2🤯1
نمونه هفته اول برنامه ۴ ماهه آزمون کانون وکلا ۱۴۰۴ بنام دور طلوع ☀️ تهیه کننده : باران جان 💥آغاز اجرای برنامه شنبه ۳۱ خرداد ماه ۱۴۰۴ ❤️🦋💥 جهت عضویت در کانال vip و استفاده از برنامه هفتگی ۴ ماهه آزمون وکالت(مناسب افرادی که مطالعه نداشتن یا بسیار کم مطالعه داشتن) و واریز مبلغ ۲۸۰ هزارتومن به یکی از آیدی زیر مراجعه کنید @Baraaannnn @zari_mah_banoo22
❤4
Showing the 12 most recent of 21 posts we hold for @tabliqatgera. 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.
Citation-graph rank
Citation-graph rank — 735,171 of 1,480,688entries 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.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“لینکدونی حقوقی زری و باران😍” (@tabliqatgera), 9,521 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/tabliqatgera.
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.