Channel
@mr_deepquotes
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
558subscribers
-1 since we began measuring on 31 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002104860858 |
|---|---|
| Type | Channel |
| Username | @mr_deepquotes |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 31 August 2026 |
| Last confirmed live | 10 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 September 2026 |
| On Telegram | t.me/mr_deepquotes |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Sept 2026, 20:37 | 558 | -2 |
| 1 Sept 2026, 05:06 | 560 | +1 |
| 31 Aug 2026, 17:45 | 559 | first reading |
20 posts held, back to 26 October 2025 — 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 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 19 August 2026 |
|---|---|
| Posts held | 20 (26 October 2025 – 19 August 2026) |
| Views total | — |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 31 Aug 2026, 17:45 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.
30 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 56.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 17 | 56.7% | |
| 👍 | 8 | 26.7% | |
| 🔥 | 5 | 16.7% |
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 14 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 30 reactions 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 26 October 2025 to 19 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.
The owner of this channel has been inactive for the last 17 months. If they remain inactive for the next 30 days, they may lose their account and admin rights in this channel. The contents of the channel will remain accessible for all users.
This channel looking for buyers Dm @Asitha_D_Jayasingha
it's better to make slow money than to make no money. ⚡️ Mindset
👍7❤1
⚡️ Mindset
❤3
your life will get better when you do these 3 things: *read *exercise *meditate ⚡️ Mindset
❤3
it's not how much you earn its how much you keep. ⚡️ Mindset
🔥4
a 50% gain on $10,000 is $5,000. a 5% gain on $1,000,000 is $50,000. the more you invest, the less risk you need to take. as important as gains are, minimizing risk is more important. ⚡️ Mindset
❤1
⚡️ Mindset
❤2
follow your strengths. charismatic? social? get into sales. shy? creative? be a copywriter. pragmatic, visionary? start a business. you already excel in certain areas. invest in them. don't swim against the current. ⚡️ Mindset
❤1
⚡️ Mindset
👍1
$10k invested at age 20 will be $728k when you're 65. $10k invested at age 30 will be $281k when you're 65. if you want to get ahead... spend your 20s investing in assets, not shopping. ⚡️ Mindset
❤1
7 timeless rules about money ⚡️ Mindset
Showing the 12 most recent of 20 posts we hold for @mr_deepquotes. 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.
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.
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.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — 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 10 September 2026 — this entry's latest reading, not the date you are reading this.
“Mindset™” (@mr_deepquotes), 558 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/mr_deepquotes.
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.