Channel
@Eudaaimonia
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
81subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001755259984 |
|---|---|
| Type | Channel |
| Username | @Eudaaimonia |
| Description | Eudaimonia :بمعنی خوشروانی هدف حقیقی کتابها این است که ذهن را به دام فکر کردن بیندازند. 💡کانال دیگر ما: @phsychic |
| Created | Between 1 December 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Eudaaimonia |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 18:31 | 81 | no change |
| 9 Aug 2026, 03:31 | 81 | first reading |
20 posts held, back to 30 January 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 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 15 July 2026 |
|---|---|
| Posts held | 20 (30 January 2026 – 15 July 2026) |
| Views total | 34 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 18:31 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.
Lifetime counters from Telegram’s own channel header, read 9 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.
8 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 62.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 62.5% | |
| 👍 | 3 | 37.5% |
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 7 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 8reactions 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 30 January 2026 to 15 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.
افراد عصبی، که برای هیچ و پوچ به خشم میآیند، برعکس همین که کسی علیهشان تعرضی بکند بیآزار میشوند، و پاشیدن سطل آبی به صورتشان بهتر آرامشان میکند تا کوشش برای اثبات این که خشم و آزردگیشان بی اساس است #درجستجوی_زمان_ازدسترفته #مارسل_پروست
👍1
شبیهسازی نمیتواند واقعیت را نشان دهد؛ چرا که هیچگاه امر شبیهسازی شده نمیتواند متناسب با واقع باشد. به صورت ایدئولوژیک، این پندار وجود دارد که عروسک باربی، گزینههای ممکن و متعدّد زندگی را برای دختربچههایی شبیهسازی میکنند که آنها را میخرند. بنابراین، فرد میتواند باربی غواص، باربی عروس، باربی پرستار و مانند آن را خریداری نماید. اما البته در واقعیت، هیچ زنی هیچ شباهتی به باربی ندارد. باربی، هیچ زن واقعیای را…
درس ماندگار تراژدی یونانی؛ قانون مستلزم این است که رنج ببریم تا به حقیقت برسیم #آلبر_کامو #رابرت_زارتسکی
چیزی که بیاراده یا با زور انجام شود، اصیل نیست. اعمال شرافتمندانه همه داوطلبانه هستند #سنکا #روزنگار_رواقیگری #رایان_هالیدی #استیون_هانسلمن
فرآیند استدلال استقرایی سبب میشود با مشاهدهی تعدادی مورد مشابه، دست به تعمیم بزنیم. مثلاً شخصی قوهای سفید زیادی میبیند و با هیچ قوی سیاهی مواجه نمیشود. پس به این نتیجه میرسد که«تمام قوها سفیدند.» در همین راستا، ما میدانیم انسانها اغلب میمیرند. پس نتیجه میگیریم«تمام انسانها فانیاند.» اما این تعمیمها از تجربه فراتر میروند و توجیه منطقی ندارند. قوهای سیاه در استرالیا دیده شدهاند و همواره این احتمال منطقی و…
که آدمی را میباید تا از مصیبتها بیاموزد و آنگاه که دل از یاد زخمهای کهنه خون میچکاند و خفتن نمیتواند، خِرَد، خواهی نخواهی راه در آن دل خواهد گشود #آیسخولوس مجموعه آثار
جهان میل به آشوب و آنتروپی دارد. این از اصول اولیهی ترمودینامیک است. شاید حتی اصول اولیهی وجود. کارَت را از دست میدهی و بعد اتفاقات بد دیگری میافتد... باد میان درختان نجوا میکرد. باران باریدن گرفت. نورا با حس عمیق و البته درست، از اینکه قرار بود همهچیز بدتر بشود، به سمت یک روزنامهفروشی رفت تا از باران در امان بماند. مجله ی نشنال جئوگرافیک روی ویترین بود. در حالی که به عکس سیاهچاله ی روی جلد مجله خیره شده بو…
اگر بیشتر بودنِ کیفیت خشونتورزی انسانها در مقایسه با حیوانات، دقیقا به دلیلِ ناطق بودن آنها باشد چطور؟ همانگونه که هگل پیشاپیش بهخوبی میدانست نفسِ فروکاستنِ هرچیز به یک نماد که معادلِ مرگ و نابودیِ آن چیز است در دلِ خود آبستنِ خشونت است این خشونت در سطوح متعددی عمل میکند. زبان، امرِ نامگذاری شده را ساده میکند و آن را به یک ویژگیِ واحد فرو میکاهد. امر مورد بحث را تکه پاره میکند و با از بین بردنِ یکپارچگیِ…
❤1
هنگامیکه مسنتر شدم، هنگامیکه چشم واکردم و واقعیت را دیدم، شروع کردم به خندیدن و از آن پس خندهام بند نیامده است دیدم زندگی معنایی جز امرار معاش و هدفی به غیر از رسیدن به مقام و منصب ندارد، دیدم میل سرشار عشق را غایتی جز تصاحب دختری پولدار نیست، دیدم حکمت یعنی آنچه از نظر اکثریت دانایی است، دیدم شوقوذوق مایهای جز شهوت سخنرانی ندارد، دیدم شجاعت یعنی خطرِ ده سکه جریمهشدن را بهجان خریدن، و ترس از خدا یعنی سالی یک…
❤1
انسان در خلال چیرگی روزافزونش بر طبیعت، پرومتهوار عظمت میابد #کارل_مارکس
#فایل_صوتی #مصطفی_ملکیان
زمانی که آدمی بیمار است، «خوب» بودن او نیز بیمارگونه است #ارادهی_قدرت #فردریش_نیچه
Showing the 12 most recent of 20 posts we hold for @Eudaaimonia. 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 — 911,515 of 1,169,250entries 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.
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.
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.
“Ευδαιμονια📓” (@Eudaaimonia), 81 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/Eudaaimonia.
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.