Socializing Reduces Physical Inflammation; Love Makes You Live Longer New podcast on my health channel: https://youtu.be/V4MgTGLZR9s
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Channel
@ivoryhecker
On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Cite this entry
12,918subscribers
+646 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001244678147 |
|---|---|
| Type | Channel |
| Username | @ivoryhecker |
| Description | Follow my news feed :) |
| Created | 12 January 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/ivoryhecker |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:24 | 12,918 | +700 |
| 11 Aug 2026, 21:12 | 12,218 | -8 |
| 10 Aug 2026, 17:44 | 12,226 | -18 |
| 9 Aug 2026, 14:16 | 12,244 | -6 |
| 8 Aug 2026, 15:24 | 12,250 | -13 |
| 7 Aug 2026, 15:37 | 12,263 | -6 |
| 6 Aug 2026, 14:47 | 12,269 | -3 |
| 6 Aug 2026, 10:06 | 12,272 | no change |
| 6 Aug 2026, 09:52 | 12,272 | first reading |
22 posts held, back to 16 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 16 pagesof 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 12 August 2026 |
|---|---|
| Posts held | 22 (16 July 2026 – 12 August 2026) |
| Views total | 23,360 |
| Reactions total | 407 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 02:56 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.
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 13 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.
407 reactions across 22 posts, in 15 distinct kinds. The most used accounts for 34.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 139 | 34.2% | |
| ❤ | 125 | 30.7% | |
| 🔥 | 32 | 7.86% | |
| 💯 | 25 | 6.14% | |
| 🤬 | 24 | 5.90% | |
| 🙏 | 20 | 4.91% | |
| 🤔 | 20 | 4.91% | |
| 👎 | 9 | 2.21% | |
| 😁 | 3 | 0.737% | |
| 😈 | 3 | 0.737% | |
| 🤮 | 2 | 0.491% | |
| 🥰 | 2 | 0.491% | |
| 🆒 | 1 | 0.246% | |
| 🤣 | 1 | 0.246% | |
| 🤪 | 1 | 0.246% |
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 22 of the 22 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 407reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 16 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 22 most recent posts we hold, published 16 July 2026 to 12 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Socializing Reduces Physical Inflammation; Love Makes You Live Longer New podcast on my health channel: https://youtu.be/V4MgTGLZR9s
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How Fintech Exiled Conservatives from the Financial System “Fintech platforms cut off conservatives with no notice and no appeal. Now the FTC is demanding answers.” Article: https://bit.ly/45hQ4cr #ad
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I just filmed a podcast on the demonic attack Perez Hilton experienced last night, how the spirit world works, a demonic incident I witnessed that gave me the incentive to get very educated on this topic, and what I learned about how to resoundingly defeat the spiritual parasites known as demons. We are children of a good God, and there is nothing to fear. I hope this video helps someone, and hopefully Pérez sees it…
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Perez Hilton Knife Incident | The Spiritual Side of It That's Not Being Covered New podcast: https://youtu.be/kxRy2y0nHwM?si=dEmk_rObvti9BC3w
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Kimberly gives the scoop on NYU’s online journalism course versus the one I designed 👇🏼 I’m taking on a small number of independent journalism students to personally mentor this fall semester. I’ll be pouring all my tips and tricks into these students, sharing what made me a successful six-figure earning independent journalists so they can do it too. I’ll be meeting with you once a week via video calls over a 12-w…
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How 51-year-old Kim Wheeler reversed her biological age and healed a 25-year chronic illness in a matter of months, using root cause medicine and scripture. New podcast: https://youtu.be/7MQ45JYDtTY?is=QNeZ85bFwOBqMjHs
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Reversing Biological Age and Healing Chronic Illness Through Spirit & Science New podcast: https://youtu.be/7MQ45JYDtTY?si=94alMkVJ1ac-Ra3J
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Elon Musk and Zuckerberg recently joined forces supporting the founder of AI company Nvidia to advocate for keeping AI models “open weight.” 🤖 That mean the AI is “open for public download, inspection, and modification.” In an era when people fear AI will take us over, Nvidia’s founder explained why he believes keeping the technology open for inspection will keep us safer.👇🏼 Lyceum article: https://bit.ly/4vPz7Rf …
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Five years later, was it worth it to burn the bridge on my TV career? Telling the truth to save one life in the pandemic? A no brainer! I will gladly part ways with a company that hides life saving medicine again and again. 👇🏼This couple’s story solidified my confidence that I made the right decision. Btw the forbidden medicine of discussion was ivermectin. Since then it’s hit home to me that there are many medici…
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Bound to Boomerang: The Danger of Weaponizing Agencies Article: https://bit.ly/3Ti0upD #ad
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My grandma’s cancer healing story… When the doctor considered her too-far-gone with stage 4 cancer at age 83, my mom and my aunt took the “natural remedies” approach to treat her instead of chemo or radiation. Her heavy coughing vanished, and her health improved. I sat down with them to get the full story (I was in high school and college when this all took place). Grandma was given weeks to live, and she instead …
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“Too often, projects America needs are delayed not by a lack of capital, demand or ambition, but by a federal permitting system that takes too long to deliver a clear yes or no.” Article pushing the Senate to advance an infrastructure package before August recess: https://bit.ly/4gVaK0T #ad
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Showing the 12 most recent of 22 posts we hold for @ivoryhecker. 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 — 889,948 of 1,169,250entries 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.
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.
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.
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 — this entry's latest reading, not the date you are reading this.
“Ivory Hecker” (@ivoryhecker), 12,918 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ivoryhecker.
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.