Education — 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 15 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Previous handles
@sweet_like_statistics was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
@siwet_like_statistics held 8 August 2026 – 8 August 2026
Growth
15 measurements spanning 52 days, net +828. 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 1,617–2,693 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
28 Sept 2026, 16:25
2,569
no change
28 Sept 2026, 16:22
2,569
no change
28 Sept 2026, 15:47
2,569
+27
11 Sept 2026, 20:01
2,542
+15
7 Sept 2026, 01:20
2,527
+3
2 Sept 2026, 12:33
2,524
-13
27 Aug 2026, 14:24
2,537
-10
24 Aug 2026, 04:04
2,547
+119
20 Aug 2026, 17:08
2,428
-11
18 Aug 2026, 01:02
2,439
+196
14 Aug 2026, 17:14
2,243
+34
11 Aug 2026, 12:14
2,209
+456
8 Aug 2026, 16:17
1,753
+12
8 Aug 2026, 00:01
1,741
no change
7 Aug 2026, 23:50
1,741
first reading
Engagement
35 posts held, back to 22 July 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 2 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.0%
avg views ÷ 2,569 subscribers
Avg views / post
360
20 posts measured
Reaction rate
1.37%
reactions ÷ views · ER floor
Posts in window
20
of 35 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. It is computed over the 12 of 20 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 September 2026
Posts held
35 (22 July 2026 – 28 September 2026)
Views total
7,208
Reactions total
55
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Sept 2026, 16:22 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.
What this channel posts
Video runtime
2h 15m
Average length
27m 03s
Measured directly from 5 videos 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
189 reactions across 25 posts, in 9 distinct kinds. The most used accounts for 74.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
140
74.1%
👏
19
10.1%
🔥
12
6.35%
👍
11
5.82%
💯
2
1.06%
🤝
2
1.06%
🏆
1
0.529%
🥰
1
0.529%
🫡
1
0.529%
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 25 of the 35 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 189 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 35 most recent posts we hold, published 22 July 2026 to 28 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.
انواع روشهای کد گذاری در نظریه زمینه ای موضوعی بود که برای بچههای سالهای قبل خیلی سخت بود ودر عین حال پر اهمیت
توی جلسه تطبیقی فصل دهم، انواع کد گذاری رو مرحله به مرحله روی مثال پژوهش واقعی انجام دادیم
جلسات تطبیقی جلساتی هستن که علاوه بر مطالب اصلی، کاربرد مبحث تدریس شده رو روی پژوهشهای واقعی یادمیگیریم
وقتی یه موضوع پیچیده رو با مثال واقعی انجام بدی، محاله که برات مبهم بمونه🌱
چرا؟
چون من دقیقا اون قسمتایی که سال پیش واسه بچه ها سوال پیش میومد رو امسال سعی کردم بیشتر و واضح تر توضیح بدم و امسال دیگه از اون قسمتا برای کسی سوال پیش نیومد
علاوه بر این
تعداد کل سوالاتی که بچه ها از اول شروع کلاس تا الان پرسیدن به ۱۰ تا نمیرسه
چه برسه به اینکه سوال پر تکراااار داشته باشن که من بخوام ازشون کانال بسازم🤦🏻♀
و ریا نباشه
ما به این میگیم کیفیت تدریس و انتقال مطلب😇
یکی از برنامه هام برای کلاس امسال این بود که یه کانال درست کنم با عنوان :
سوالات پر تکرار
که سوالای بچه هارو با جوابشون اونجا فوروارد کنم تا با هشتگ و سرچ بتونن جواب سوالای تکراریشونو پیدا کنن
ولی با شکست مواجه شد🤷🏻♀
مهلت دوباره ثبت نام با تخفیف ۵۰ درصدی کلاس جامع آمار و روش تحقیق از ساعت ۱۷:۰۰ امروز شروع میشه و تا ساعت ۲۴ روز ۸ مهرماه ادامه داره
ثبت نام بعدی: ۲۸ تا ۳۰ مهرماه
آیدی جهت ثبت نام : @amar_reg
و مورد آخر...
اگه قرار بود فقط یه تغییر توی روش مطالعتون ایجاد کنید،
ترجیح اکثرتون این بود که مطالب رو واقعا بفهمید، نه فقط حفظ کنید
و این فهم واقعی وقتی صورت میگیره که شما به فردی دسترسی داشته باشید، که اگه جایی براتون مبهم موند، لازم نباشه مثل یک ربات فقط حفطش کنید و بتونه مشکل شمارو درباره ابهامتون با صبر و حوصله برطرف کنه
محاسبات ریاضی...
واقعا لازمه در این مورد چیزی بگم؟
ما تنها مجموعه ای بودیم که برای بچهها کلاس مقدمات ریاضی رایگان قرار دادیم
جلسات این کلاس هم به دوره آمار اضافه شده و هم از کانال تلگرام این دوره قابل مشاهدهست
علاوه بر این، تک تک تست هارو به صورت مرحله به مرحله و قدم به قدم، حتی بعضیارو با رسم شکل و نمودار حل کردیم تا هیچ جای این مسیر به مشکل نخورید
برای یادگیری مباحث پیچیده
ترجیح شما این بود که:
مطالب به صورت مرحله به مرحله، با مثالهای عملی و واقعی، و با ترکیبی از توضیح، مثال و تصویر صورت بگیره
که این کاملا توقع بجاییه
برای درسی که در این حد انتزاعی و سخت فهمه، آموزش باید اینطور باشه
وگرنه باعث دلزده شدن دانشجو از اون درس میشه
برای اینکه خیالتون راحت شه روی مبحثی که تازه یادگرفتین مسلط شدین،
لازمه که:
۱.تست هایی رو کار کنید که ساده باشن ولی مفاهیم پایه رو در قالب تست براتون مرور کنن
۲.تست های متنوعی رو کار کنید که کاربردهای مختلف مفاهیم رو در عمل متوجه شید
۳.تست های مبحث جدید رو در کنار تست های مباحث قبلی حل کنید تا قدرت تشخیصتون بین مفاهیم بالا بره
۴.تست های کنکوری سالهای گذشته، بعد از همه مواردی که گفتم باید حل شه!
وقتی که شما به تسلط ک…
از نظراتتون فهمیدم که در مواجهه با تست ها، مشکل اکثریت فهمیدن اینه که سوال دقیقا از ما چی میخواد
برای حل این مشکل:
دقیقا مثل مورد قبلی، باید یاد بگیریم کلمات اصلی و کلیدی تست رو پیدا کنیم، و صورت مسئله رو برای خودمون پارافرایز کنیم تا منظور طراح رو متوجه شیم
این کار هم در بافت آموزش روشهای تست زنی امکان پذیره
اکثرتون گفتین که وقتی چند فصل رو پشت سرهم میخونید،
یا تعاریف رو قاطی میکنین
یا کاربرد مفاهیم رو نمیفهمین
یا ربط چیزهایی که یادگرفتین به تست هارو متوجه نمیشین
راه حل:
وقتی یادگیری در بافت واقعی صورت بگیره، یعنی مثال هایی زده شه که ما واقعا توی زندگی تجربشون کردیم، این قاطی کردنا با کمترین حد خودش میرسه
وقتی ینفر که این کار رو بلده، چندین بار جلوی ما تستهارو بخونه، کلمات کلیدیش رو مشخص کنه و با استفاده ازشون جواب رو…
حدود ۶۶ درصدتون گفتین که هنوز اصلا شروع نکردم که ببینم مشکلم از کجاست
بچهها اگه هر مانع ذهنی یا واقعی باعث میشه که ترس از شروع داشته باشین، میتونین باهام درمیون بذارین تا راهی برای حلش پیدا کنیم
من مشاور نیستم ولی تو حوزه آمار و روش تحقیق میتونم تشخیص بدم که مشکلی که دارین فقط یه سد ذهنیه یا واقعا مشکل حساب میشه، و برای حلش چیکار باید کنیم
پیاماتون درباره این موضوع رو خودم شخصا جواب میدم
@amar_reg
👏2
Showing the 12 most recent of 35 posts we hold for @sweet_like_statistics. 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.
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 28 September 2026 — this
entry's latest reading, not the date you are reading this.
“📊شیرین مثل آمار|حانیه گودرزی” (@sweet_like_statistics), 2,569 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/sweet_like_statistics.
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.