8 measurements spanning 17 days, net -7. 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 3,110–3,120 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
23 Aug 2026, 06:16
3,111
-3
19 Aug 2026, 17:45
3,114
-4
16 Aug 2026, 07:37
3,118
+2
12 Aug 2026, 12:14
3,116
-1
9 Aug 2026, 19:41
3,117
-2
6 Aug 2026, 20:27
3,119
+1
6 Aug 2026, 04:51
3,118
no change
5 Aug 2026, 22:20
3,118
first reading
Engagement
20 posts held, back to 1 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
2.59%
avg views ÷ 3,111 subscribers
Avg views / post
80.7
20 posts measured
Reaction rate
7.32%
reactions ÷ views · ER floor
Posts in window
20
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 4 August 2026
Posts held
20 (1 August 2026 – 4 August 2026)
Views total
1,613
Reactions total
118
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:56 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
118 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 50.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
60
50.8%
👍
36
30.5%
🙏
16
13.6%
👌
6
5.08%
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 20 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 118reactions 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 1 August 2026 to 4 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.
Nude color یعنی:
رنگ نود، رنگ پوست یا رنگی نزدیک به رنگ طبیعی پوست (بسته به رنگ پوست هر فرد میتواند بژ، کرم، قهوهای روشن و… باشد)
@bookfc
She wore a nude dress.
او یک لباس به رنگ نود پوشیده بود.
I like nude lipstick.
من رژ لب نود را دوست دارم.
She bought nude high heels.
او کفش پاشنهبلند به رنگ نود خرید.
Nude colors go with almost everything.
رنگهای نود تقریباً با همه چیز ست میشوند.
نکته
…
مثال مقایسهای
فرض کنید دوستتان در مهمانی نیامده است:
He should have come.
باید میآمد. (اما نیامد.)
He could have come.
میتوانست بیاید. (امکانش را داشت.)
He must have forgotten.
حتماً فراموش کرده است. (حدس قوی)
He may have forgotten.
شاید فراموش کرده باشد. (فقط احتمال
@bookfc
بله، Must have + V3 را میتوان اینطور ترجمه کرد:
«احتمال خیلی زیاد دارد که …»
یا
«به احتمال قوی …»
یا در بعضی موقعیتها: «حتماً … کرده است»
اما دقت کنید: این قطعیت ۱۰۰٪ نیست؛ بلکه گوینده بر اساس شواهد یک حدس خیلی قوی میزند.
مثال:
He must have forgotten my name.
= به احتمال خیلی زیاد اسم من را فراموش کرده است.
= حتماً اسم من را فراموش کرده است. (ترجمه محاورهای)
@BOOKFC
She must have been tired.
= به احتمال زی…
3. May have + V3
معنی: شاید… (احتمال درباره گذشته، اما مطمئن نیستیم)
ساختار:
@BOOKFC
Subject + may have + V3
مثالها:
She may have missed the bus.
شاید اتوبوس را از دست داده باشد.
He may have forgotten my name.
شاید اسمم را فراموش کرده باشد.
They may have gone home.
شاید به خانه رفته باشند.
I may have left my keys at work.
شاید کلیدهایم را سر کار جا گذاشته باشم.
We may have made a mistake.
ش…
@BOOKFC
این ساختارها برای صحبت درباره گذشته به کار میروند؛ اما هر کدام معنی متفاوتی دارند.
1. Should have + V3
معنی: باید کاری را انجام میدادی، اما انجام ندادی. (پشیمانی، انتقاد یا توصیه)
ساختار:
Subject + should have + Past Participle (V3)
مثالها:
You should have called me.
باید به من زنگ میزدی.
I should have studied harder.
باید بیشتر درس میخواندم.
She should have told the truth.
باید حقیقت …
2. Could have + V3
معنی: میتوانستی، اما انجام ندادی. (فرصت یا امکان از دست رفته)
ساختار:
Subject + could have + V3
مثالها:
@BOOKFC
I could have won the game.
میتوانستم بازی را ببرم.
You could have asked me.
میتوانستی از من بپرسی.
She could have become a doctor.
میتوانست دکتر شود.
We could have taken a taxi.
میتوانستیم تاکسی بگیریم.
They could have helped us.
میتوانستند به ما کمک کنند.…
ماشین روشن نمیشود.
The car won’t start.
(رایجترین حالت در مکالمه)
ماشین خراب است.
The car is broken.
یا
The car is not working.
ماشین استارت نمیخورد.
The car won’t crank.
یا سادهتر:
The engine won’t turn over.
(یعنی موتور نمیچرخد و استارت نمیزند)
ماشین آب و روغن قاطی کرده.
The coolant and oil have mixed together.
یا در اصطلاح مکانیکی:
The engine has a blown he…
Came to عبارت فعلی
(phrasal verb) است.
come to = به هوش آمدن / دوباره آگاه شدن
گذشتهاش میشود:
come → came → come
مثال:
I fainted, but I came to a few minutes later.
غش کردم، اما چند دقیقه بعد به هوش آمدم.
When she came to, she was in the hospital.
وقتی به هوش آمد، در بیمارستان بود.
نکته:
come to چند معنی دیگر هم دارد:
به هوش آمدن
He came to after the accident.
او بعد از تصادف به هوش آمد.
به ی…
مکالمههای طبیعی
A: I won the lottery!
B: Oh my gosh! Congratulations!
A: My car was stolen.
B: Oh my God! I’m so sorry.
A: Look at this view!
B: Wow! It’s incredible!
نکته مهم:
در مکالمه روزمره آمریکایی، Oh my gosh و حتی OMG (Oh my God) بسیار رایج هستند. اگر میخواهید مؤدبانهتر یا خنثیتر صحبت کنید، Oh my gosh انتخاب بهتری است
Exchange currency یعنی تبدیل یا تعویض ارز.
مثالها:
I need to exchange some currency before my trip.
من باید قبل از سفر مقداری ارز تبدیل کنم.
Where can I exchange currency in this city?
کجا میتوانم در این شهر ارز تبدیل کنم؟
You can exchange dollars for euros at the airport.
میتوانید دلار را در فرودگاه به یورو تبدیل کنید.
The bank offers a good exchange rate for foreign currency.
بانک نرخ تبدیل خوب…
رنگم پرید در انگلیسی:
I went pale. ✅ (رایجترین؛ رنگ صورتم پرید)
I turned pale. ✅ (ناگهان رنگم پرید)
My face went pale. ✅ (صورتم رنگپریده شد)
مثالها:
I went pale when I heard the news.
وقتی خبر را شنیدم، رنگم پرید.
She turned pale because she was scared.
او از ترس رنگش پرید.
His face went pale after the accident.
بعد از حادثه، صورتش رنگپریده شد.
🌐 Website: novintalkbfc.ir
💬 Telegram: https://t.me/BOOKF
👌4❤1
Signed BFC/Ali
Showing the 12 most recent of 20 posts we hold for @BOOKFC. 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 — 139,967 of 1,602,868entries 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@BOOKFC named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@book_free_conversation named in 4 posts, 8 August 2026 – 8 August 2026
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 23 August 2026 — this
entry's latest reading, not the date you are reading this.
“مکالمه زبان انگلیسی بدون کتاب BFC” (@BOOKFC), 3,111 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/BOOKFC.
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.