دپارتمان دوم ︱فصل اول ︱قسمت دو کسی که به بیرون می نگرد رویا می بیند و کسی که به درون می نگرد بیدار می شود. پیش نیاز : بار اثبات ︱مغالطه در این قسمت به بررسی موارد زیر می پردازیم : ✧ مفهوم، مزایا و معایب هویت فردی و جمعی ✧ هویت فردی و تبدیلش به هویت جمعی ✧ پیامد هویت فردی برای انسجام اجتماعی لینک : من اینجام ✦ این مجموعه به صورت زنجیره ای تدوین شده است. برای درک بهتر مطالعه را از قسمت اول آغاز کنید. @Leburi︱لابرات…

Channel
Labor
@Leburi
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
39subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004349800507 |
|---|---|
| Type | Channel |
| Username | @Leburi |
| Description | برای ایران 𔘓 |
| Created | Between 1 June 2026 and 24 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Leburi |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 20:16 | 39 | no change |
| 8 Aug 2026, 01:31 | 39 | first reading |
Engagement
20 posts held, back to 24 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1047.0%
- avg views ÷ 39 subscribers
- Avg views / post
- 408
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- 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.
| Window | Rolling 30 days · latest post in window 22 July 2026 |
|---|---|
| Posts held | 20 (24 June 2026 – 22 July 2026) |
| Views total | 1,225 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 20:16 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
- 2
- Videos
- 1
- Links
- 19
Lifetime counters from Telegram’s own channel header, read 10 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.
- Video runtime
- 37s
- Average length
- 37s
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
24 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 20 | 83.3% | |
| 💘 | 4 | 16.7% |
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 8 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 24reactions 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 24 June 2026 to 22 July 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
دپارتمان دوم ︱فصل اول ︱قسمت یک ما در بين كسانی كه با ما هم عقيده اند احساس آرامش داريم اما زمانی بزرگ می شويم كه در بين كسانی باشيم كه با ما هم عقيده نباشند. پیش نیاز : سوگیری شناختی ︱بار اثبات در این قسمت به بررسی موارد زیر می پردازیم : ✧ چرا تغییر باور سخته؟ ✧ هزینه تغییر باور چیه؟ ✧ تاثیرات باور ها بر روی تحلیل سیاسی چیه؟ لینک : من اینجام ✦ این مجموعه به صورت زنجیره ای تدوین شده است. برای درک بهتر مطالعه را از ق…
Photo, posted without a caption
دپارتمان یکم ︱فصل چهارم︱جمع بندی (پایانی) اگه فرصت مطالعه دپارتمان یکم و نداری این خلاصه رو بخون اما اگر زمان کافی داری پیشنهاد می کنم مطالب و به ترتیب مطالعه کنی چون توی این تلگراف فقط نتیجه گیری ها گفته شده. لینک : من اینجام @Leburi ︱لابراتوار @shiran_com ︱تاریخ باستان
دپارتمان یکم ︱فصل سوم ︱قسمت پنج مهم نیست چه کسی حرف می زند مهم این است که شواهد چه می گویند. در این قسمت به بررسی موارد زیر می پردازیم : ✧ منبع معتبر چیع؟ ✧ همه منابع ارزش یکسانی دارن؟ ✧ چطور اعتبار یک ادعا رو بررسی کنیم؟ لینک : من اینجام ✦ این مجموعه به صورت زنجیره ای تدوین شده است. برای درک بهتر مطالعه را از قسمت اول آغاز کنید. @Leburi ︱لابراتوار @shiran_com ︱تاریخ باستان
دپارتمان یکم ︱فصل سوم ︱قسمت چهار کسی که ادعایی مطرح می کند وظیفه دارد برای آن دلیل بیاورد نه اینکه از دیگران بخواهد خلاف آن را ثابت کنند. در این قسمت به بررسی موارد زیر میپردازیم : ✧ بار اثبات چیه؟ ✧ کیی باید شواهد ارائه بده؟ ✧ تفاوت ادعا با مدرک چیه؟ لینک : من اینجام ✦ این مجموعه به صورت زنجیره ای تدوین شده است. برای درک بهتر مطالعه را از قسمت اول آغاز کنید. @Leburi ︱لابراتوار @shiran_com ︱تاریخ باستان
Photo, posted without a caption
دپارتمان یکم ︱فصل سوم ︱قسمت سه هیچ چیز به اندازه تغییر دادن یک ذهن دشوار نیست. در این قسمت به بررسی موارد زیر می پردازیم : ✧ سوگیری شناختی چیه؟ ✧ چرا ذهن ما میانبر میزنه؟ ✧ تاثیر سوگیری ها لینک : من اینجام ✦ این مجموعه به صورت زنجیره ای تدوین شده است. برای درک بهتر مطالعه را از قسمت اول آغاز کنید. @Leburi ︱لابراتوار @shiran_com ︱تاریخ باستان
دپارتمان یکم ︱فصل سوم ︱قسمت دو اگر نتوانی استدلال رقیبت را درست بیان کنی هنوز حق رد کردنش را نداری. در این قسمت به بررسی موارد زیر می پردازیم : ✧ مغالطه چیه؟ ✧ ظاهر و باطن ✧ معرفی مغالطه های معروف لینک : من اینجام ✦ این مجموعه به صورت زنجیره ای تدوین شده است. برای درک بهتر مطالعه را از قسمت اول آغاز کنید. @Leburi ︱لابراتوار @shiran_com ︱تاریخ باستان
دپارتمان یکم ︱فصل سوم ︱قسمت یک مشکل جهان این است که احمق ها مطمئن هستند و خردمندان سرشار از تردید. در این قسمت به بررسی موارد زیر می پردازیم : ✧ تفکر انتقادی چیه؟ ✧ تفکر انتقادی چی نیست؟ ✧ راهکار چیه؟ لینک : من اینجام ✦ این مجموعه به صورت زنجیره ای تدوین شده است. برای درک بهتر مطالعه را از قسمت اول آغاز کنید. @Leburi︱لابراتوار @shiran_com ︱تاریخ باستان
دپارتمان یکم ︱فصل دوم ︱قسمت سه هیچ آزمایش موفقی نمی تواند یک نظریه را برای همیشه اثبات کند اما یک آزمایش ناموفق میتواند آن را رد کند. در این قسمت به بررسی موارد زیر می پردازیم : ✧ فرضیه چیه؟ ✧ نظریه علمی چیه؟ ✧ اجماع علمی چطور شکل می گیره؟ لینک : من اینجام ✦ این مجموعه به صورت زنجیره ای تدوین شده است. برای درک بهتر مطالعه را از قسمت اول آغاز کنید. @Leburi ︱لابراتوار @shiran_com ︱تاریخ باستان
👍5
دپارتمان یکم ︱فصل دوم ︱قسمت دو اولین اصل این است که خودت را فریب ندهی و فریب دادن خودت از همه آسان تر است. در این قسمت به بررسی موارد زیر می پردازیم : ✧ شبه علم چیه؟ ✧ تفاوت علم و شبه علم چیه؟ ✧ نشانه های شبه علم چیه؟ لینک : من اینجام ✦ این مجموعه به صورت زنجیره ای تدوین شده است. برای درک بهتر مطالعه را از قسمت اول آغاز کنید. @Leburi ︱لابراتوار @shiran_com ︱تاریخ باستان
💘4
Showing the 12 most recent of 20 posts we hold for @Leburi. 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 — 216,938 of 1,151,006entries 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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Labor” (@Leburi), 39 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Leburi.
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.