6 measurements spanning 14 days, net +1. 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 1,362–1,365 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 20:20
1,365
+2
12 Sept 2026, 08:40
1,363
+1
8 Sept 2026, 05:22
1,362
-1
3 Sept 2026, 00:33
1,363
-1
2 Sept 2026, 00:00
1,364
no change
1 Sept 2026, 23:45
1,364
first reading
Engagement
19 posts held, back to 10 August 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.25%
avg views ÷ 1,365 subscribers
Avg views / post
99.0
4 posts measured
Reaction rate
5.30%
reactions ÷ views · ER floor
Posts in window
4
of 19 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
Window
Rolling 30 days · latest post in window 1 September 2026
Posts held
19 (10 August 2026 – 1 September 2026)
Views total
396
Reactions total
21
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 00:00 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
124 reactions across 19 posts, in 15 distinct kinds. The most used accounts for 62.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
77
62.1%
👍
8
6.45%
😘
8
6.45%
🥰
7
5.65%
💔
5
4.03%
🔥
4
3.23%
👏
3
2.42%
💯
3
2.42%
🖕
3
2.42%
❤🔥
1
0.806%
🌭
1
0.806%
🍌
1
0.806%
😭
1
0.806%
🦄
1
0.806%
🫡
1
0.806%
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 19 of the 19 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 124 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 10 August 2026 to 1 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.
📊 نقشه راه انجام یک تحلیل آماری درست و اصولی 🎯
تحلیل آماری برات مثل یه کلاف سردرگمه؟ این ۵ گام رو ذخیره کن تا مسیرت مشخص باشه! 👇
خیلی از دانشجوها و پژوهشگران دادهها رو مستقیم وارد مرحلهی آزمونهای استنباطی میکنن؛ در حالی که کیفیت یک تحلیل، به مرحلهی «پالایش دادهها» و «بررسی پیشفرضها» وابسته است. اگه از این مراحل به سلامت عبور نکنی، تمام نتایجی که گرفتی رو هواست و اصلا قابل اعتماد نیست ❌⚠️
🔹 گام ۱: پاکسازی …
سلام رفقا👋🏻
عصر پنجشنبهتون بخیر و خوشی ✨
این جدول که میبینید، مربوط به جدول فصل چهارم پایاننامه یکی از شما دوستان هست که تحلیلگر براشون انجام داده و از من خواستن که نظر بدم.
چند تا ایراد به نظرم بر این جدول وارد بود که تو فایل زیر، دونه دونه بهشون اشاره کردم و باهم درستش کردیم.
حتما فایل زیر رو ببینید با دقت تا شما دچار همچین اشکالاتی نشید.
👇🏻👇🏻👇🏻👇🏻
راهنمای تشخیص نرمال بودن داده ها 📊
قبل از اینکه سراغ انتخاب آزمون آماری بریم، یکی از مهمترین سؤالها اینه که: آیا دادههای ما از توزیع نرمال پیروی میکنن یا نه؟ 🤔
تو این پست، ۴ روش کاربردی برای بررسی نرمال بودن دادهها رو یکجا آوردم:
🔹 آزمونهای نرمالیتی:
شاپیرو–ویلک و کلموگروف–اسمیرنوف
🔹 شاخص چولگی و کشیدگی:
بررسی میزان تقارن و شکل توزیع دادهها
🔹 نمودار احتمال نرمال (چندک - چندک):
هرچه نقاط به خط مورب(نیمساز) …
سلام به همگی 👋🏻
احوالتون چطوره رفقا 🌹
بچهها مهمترین دغدغهی شما برای انجام تحلیل آماری، بحث هزینهی کار هست.
اینجا یکی از شما دوستان از من پرسیدید دوباره درباره این موضوع، من گفتم بهتره که راجبش بگم بهتون که شما هم با بحث هزینه و روال سفارش تحلیل آماری آشنا بشید.
ویس زیر رو لطفا گوش کنید 🙏
👇🏻👇🏻
سلام 👋🏻
من امیرحسین باقرپورم؛ آمار خوندم و از سال ۱۳۹۹ وارد دنیای تحلیل داده شدم. 📊
اما چیزی که امروز بیشتر از مدرک و سابقه برای من اهمیت داره، اینه که بتونم آمار و تحلیل داده رو ساده، کاربردی و قابل فهم بهت آموزش بدم.
اینجا قراره با هم دربارهی SPSS، روشهای آماری، تحلیل داده و نکاتی صحبت کنیم که بهت کمک میکنن فقط «آزمون آماری» اجرا نکنی؛ بلکه بدونی چرا، کِی و چطور باید ازش استفاده کنی. 🎯
اگر دانشجو، پژوهشگر، عل…
👆🏻👆🏻
سلام رفقا 👋🏻
روزتون بخیر ✨
بچهها موضوعات کارگاههای آموزشی هجدهمین کنفرانس آمار ایران شامل این سه مورد بالا میشه. من این یدونه کارگاه رو که ریپلای کردم، شدیدا بهتون پیشنهاد میکنم.
قراره که نرمافزار Power BI رو معرفی کنن. این نرمافزار طوری نیست که بگید مختص رشته آمار هست. از هر رشتهای میتونید باهاش کار کنید. فوقالعادهست برای مصورسازی و تهیه گزارش.
از من میشنوید حتما حتما این یدونه رو حداقل شرکت کنید.…
Showing the 12 most recent of 19 posts we hold for @spss78. 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.
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.
کنکور ارشد و دکتری روانشناسی (آکادمی روانتاج 👑) @RavanTajj · 22,019 Telegram ranks this channel #61 of 95 here — alongside 94 others — read 22 September 2026
کارگاههای روانشناسی @kargahh_ravan · 36,200 Telegram ranks this channel #76 of 86 here — alongside 85 others — read 1 September 2026
This channel appears in 2 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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Amoozeshspss(Spssآموزش)” (@spss78), 1,365 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/spss78.
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.