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Channel
@Vippredictionradha
On this record: Topic Β· Growth Β· Engagement Β· What this channel posts Β· Reactions Β· Posts Β· Citations Β· Handles named that no longer answer Β· Cite this entry
48,284subscribers
-2,199 since we began measuring on 7 August 2026
Risers and fallers across the register Β· movement among entries of 31,623β100,000.
| Telegram ID | -1002460447892 |
|---|---|
| Type | Channel |
| Username | @Vippredictionradha |
| Created | Between 1 September 2024 and 31 March 2025 β estimated from Telegramβs id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 October 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 5 October 2026 |
| On Telegram | t.me/Vippredictionradha |
Gambling & betting β a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channelβs own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a modelβs 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 β 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 |
|---|---|---|
| 5 Oct 2026, 20:37 | 48,284 | -83 |
| 30 Sept 2026, 11:56 | 48,367 | -380 |
| 18 Sept 2026, 05:01 | 48,747 | -39 |
| 16 Sept 2026, 01:41 | 48,786 | -6 |
| 14 Sept 2026, 08:01 | 48,792 | -59 |
| 12 Sept 2026, 15:16 | 48,851 | -60 |
| 10 Sept 2026, 10:41 | 48,911 | -153 |
| 7 Sept 2026, 05:00 | 49,064 | -114 |
| 4 Sept 2026, 10:19 | 49,178 | -55 |
| 3 Sept 2026, 00:35 | 49,233 | -48 |
| 1 Sept 2026, 20:44 | 49,281 | -59 |
| 31 Aug 2026, 22:08 | 49,340 | -66 |
| 30 Aug 2026, 21:53 | 49,406 | -55 |
| 29 Aug 2026, 19:46 | 49,461 | -40 |
| 28 Aug 2026, 16:46 | 49,501 | -29 |
| 27 Aug 2026, 18:13 | 49,530 | -30 |
| 26 Aug 2026, 15:36 | 49,560 | -56 |
| 25 Aug 2026, 13:16 | 49,616 | -33 |
| 24 Aug 2026, 16:25 | 49,649 | -69 |
| 23 Aug 2026, 01:28 | 49,718 | first reading |
1,598 posts held, back to 7 August 2026 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 121 pages of Telegramβs 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) Γ· views β note the denominator is views, not subscribers. Telegramβs 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 641 of 649 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days Β· latest post in window 5 October 2026 |
|---|---|
| Posts held | 1,598 (7 August 2026 β 5 October 2026) |
| Views total | 59,329 |
| Reactions total | 2,921 |
| Forwards / comments | not exposed by the public surface β not measured, not estimated |
| Readings taken | 5 Oct 2026, 19:59 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 βcorrectingβ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form β 8.12K, 3.7M β 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 β read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Measured directly from 42 videos with a duration reading, out of the posts we hold for this channel β not this channelβs 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 Telegramβs own rounded chrome, so it carries no β mark.
3,967 reactions across 983 posts, in 21 distinct kinds. The most used accounts for 21.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| β€ | 848 | 21.4% | |
| π₯ | 553 | 13.9% | |
| π₯° | 475 | 12.0% | |
| π | 443 | 11.2% | |
| π | 336 | 8.47% | |
| π | 287 | 7.23% | |
| π€© | 216 | 5.44% | |
| β‘ | 210 | 5.29% | |
| β€βπ₯ | 196 | 4.94% | |
| π | 175 | 4.41% | |
| πΏ | 130 | 3.28% | |
| π | 58 | 1.46% | |
| π€ | 14 | 0.353% | |
| π | 9 | 0.227% | |
| π¨βπ» | 6 | 0.151% | |
| π | 4 | 0.101% | |
| π | 2 | 0.05% | |
| π«‘ | 2 | 0.05% | |
| π | 1 | 0.025% | |
| π€ | 1 | 0.025% | |
| 1 further kind | 1 | 0.025% |
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 β π is thanks in one channel and mourning in another β 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 β 4.34K, 1.2M β 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 983 of the 1,000 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 3,967 reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 23 August 2026 to 5 October 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.
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Photo, posted without a caption
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Showing the 12 most recent of 1,598 posts we hold for @Vippredictionradha. 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 β was rounded by Telegram before we ever saw it β t.me prints views in full below 1,000 and to three significant figures above, so β1,200,000 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.
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.
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 β 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 β the βNamed by N registered channelsβ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
@Vippredictionradha named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handleβs history β 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 β not that anything βdiedβ. How this is measured.
References a handle that is not a live channel β we have no record it ever was one.
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 5 October 2026 β this entry's latest reading, not the date you are reading this.
βSURESHOT PREDICTION πβ (@Vippredictionradha), 48,284 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/Vippredictionradha.
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 Β· 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.