We don't know what tomorrow will bring. So don't stay mad for too long. Learn to forgive and love with all your heart. Don't worry about the people that don't like you. Enjoy the ones that love you. @Quotery
โค35๐4๐ฅฐ2

Channel
@Quotes_Facts_English_Motivation
On this record: Topic ยท Growth ยท Engagement ยท What this channel posts ยท Reactions ยท Posts ยท Citations ยท Telegram's recommendations ยท Cite this entry
130,743subscribers
-351 since we began measuring on 6 August 2026
Risers and fallers across the register ยท movement among entries of 100,000โ316,228.
| Telegram ID | -1001132659807 |
|---|---|
| Type | Channel |
| Username | @Quotes_Facts_English_Motivation |
| Description | The Greatest Quotes of all Time ๐ฏ Join our group๐ https://t.me/+2vbc9kYB1hhlNzZk Channel's Private Link: https://t.me/+k9rtL13UGkIxODc0 |
| Created | 7 July 2017 โ measured โ cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/Quotes_Facts_English_Motivation |
Memes & entertainment โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channelโs own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 80% confidence. This is a modelโs 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 โ 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 14:44 | 130,743 | -48 |
| 11 Aug 2026, 14:17 | 130,791 | -69 |
| 10 Aug 2026, 16:51 | 130,860 | -70 |
| 9 Aug 2026, 18:14 | 130,930 | -55 |
| 8 Aug 2026, 20:01 | 130,985 | -34 |
| 7 Aug 2026, 19:14 | 131,019 | -37 |
| 6 Aug 2026, 17:10 | 131,056 | -38 |
| 6 Aug 2026, 04:03 | 131,094 | first reading |
27 posts held, back to 19 July 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 17 pagesof Telegramโs 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) รท viewsโ note the denominator is views, not subscribers. Telegramโs 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 ยท latest post in window 12 August 2026 |
|---|---|
| Posts held | 27 (19 July 2026 โ 12 August 2026) |
| Views total | 304,550 |
| Reactions total | 2,076 |
| Forwards / comments | not exposed by the public surface โ not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:17 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 โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ 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 โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegramโs own channel header, read 12 August 2026 โ not the date at the top of this page, which is when the subscriber count was last read. A count marked โ was rounded by Telegram before we ever saw it โ t.me prints these counters in full below 1,000 and to three significant figures above, so โ142,000 means somewhere between 141,500 and 142,499.
1,871 reactions across 25 posts, in 25 distinct kinds. The most used accounts for 74.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| โค | 1,400 | 74.8% | |
| โคโ๐ฅ | 169 | 9.03% | |
| ๐ | 92 | 4.92% | |
| ๐ | 52 | 2.78% | |
| ๐ฏ | 39 | 2.08% | |
| โก | 17 | 0.909% | |
| ๐ฅฐ | 12 | 0.641% | |
| โ | 11 | 0.588% | |
| ๐ข | 10 | 0.534% | |
| ๐ | 9 | 0.481% | |
| โ | 8 | 0.428% | |
| ๐ค | 6 | 0.321% | |
| ๐ | 5 | 0.267% | |
| ๐ | 5 | 0.267% | |
| ๐ | 5 | 0.267% | |
| ๐ | 5 | 0.267% | |
| ๐ฅฑ | 5 | 0.267% | |
| ๐ | 4 | 0.214% | |
| ๐ค | 4 | 0.214% | |
| ๐คทโโ | 4 | 0.214% | |
| 5 further kinds | 9 | 0.481% |
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 โ ๐ is thanks in one channel and mourning in another โ 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 โ 4.34K, 1.2M โ 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 27 of the 27 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 2,076reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 27 most recent posts we hold, published 19 July 2026 to 12 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.
We don't know what tomorrow will bring. So don't stay mad for too long. Learn to forgive and love with all your heart. Don't worry about the people that don't like you. Enjoy the ones that love you. @Quotery
โค35๐4๐ฅฐ2
Whether you pushed me or pulled me, drained me or fueled me, loved me or left me, hurt me or helped me,you were a part of my growth and I want to say Thank You. @Quotery
โค45โคโ๐ฅ14๐4๐คทโโ2๐ฅฐ2๐1
Life has taught me that you can't control someone's loyalty.No matter how good you are to them,doesn't mean they'll treat you the same. No matter how much they mean to you, doesn't mean they'll value you the same. Sometimes the people you love the most, turn out to be the people you can trust the least @Quotery.
โค49๐8โคโ๐ฅ4๐1
Self-discipline begins with the mastery of your thoughts.If you don't control what you think, you can't control what you do. @Quotery
โค66
Train your mind to see the good in everything.Positivity is a choice.The happiness of your life depends on the quality of your thoughts. @Quotery
โค52โคโ๐ฅ11๐ฏ5โ3๐1
I choose to make the rest of my life the best of my life. @Quotery
โค70๐ฏ6โก4๐ซก3
The moment you accept responsibility for everything in your life is the moment you gain the power to change anything in your life. @Quotery
โค73๐9โ6๐2
Hardships often prepare ordinary people for an extraordinary destiny. @Quotery
โค42โคโ๐ฅ12๐6๐ฏ5
You're making life harder by doing everything yourself accept help when it arrives. @Quotery
โค51๐4๐4
When you see something beautiful in someone, tell them. It may take a second to say,but for them, it could last a lifetime. @Quotery
โค82๐6๐5๐1
When someone is mean don't listen. When someone is rude, walk away. When someone tries to put you down, stay firm. Don't let someone's bad behavior destroy your inner peace. @Quotery
โค56๐5๐4โ1โก1
Learn to trust the journey even if you do not understand it. Sometimes what you never wanted or expected turns out to be what you need. @Quotery
โค63โคโ๐ฅ4๐ค4โ2๐2
Showing the 12 most recent of 27 posts we hold for @Quotes_Facts_English_Motivation. 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 โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 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 โ 844,821 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below โ republished posts weigh more than named mentions โ 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 channelโs 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 โ 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason โ 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 โ the โNamed by N registered channelsโ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 โ 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 elseโs query is independent of having been queried itself.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegramโs list for THAT channel, not this one โ see how this is measured.
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 12 August 2026 โ this entry's latest reading, not the date you are reading this.
โ๐ญ Motivational Quotesโ (@Quotes_Facts_English_Motivation), 130,743 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Quotes_Facts_English_Motivation.
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 ยท 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.