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Telegram profile photo for Dr. Christina Parks

Channel

Dr. Christina Parks

@ChristinaParks

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

16,072subscribers

-850 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001434310561
TypeChannel
Username@ChristinaParks
DescriptionHealth and Freedom Information
Created27 December 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/ChristinaParks

Topic

Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 76% confidence. This is a model’s 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 — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

16,07216,92216,4976 August 202611 November 2026
65 measurements spanning 97 days, net -850. 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 15,945–17,050 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 15:1616,072-19
9 Nov 2026, 15:5616,091-11
8 Nov 2026, 05:1916,102-4
6 Nov 2026, 22:2916,106-11
5 Nov 2026, 20:3616,117-13
4 Nov 2026, 22:1116,130-10
4 Nov 2026, 00:5916,140-13
2 Nov 2026, 21:5916,153-5
1 Nov 2026, 20:0816,158-6
31 Oct 2026, 21:1016,164-5
30 Oct 2026, 18:5016,169-15
29 Oct 2026, 18:4016,184-14
28 Oct 2026, 16:4916,198-9
27 Oct 2026, 13:1616,207-7
26 Oct 2026, 14:3016,214-13
25 Oct 2026, 14:5916,227-4
24 Oct 2026, 16:0416,231-6
23 Oct 2026, 17:1616,237-5
22 Oct 2026, 17:3416,242+2
21 Oct 2026, 14:4416,240first reading

Engagement

61 posts held, back to 23 June 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 75 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.88%
avg views ÷ 16,072 subscribers
Avg views / post
1,110
17 posts measured
Reaction rate
1.17%
reactions ÷ views · ER floor
Posts in window
17
of 61 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
WindowRolling 30 days · latest post in window 6 November 2026
Posts held61 (23 June 2026 – 6 November 2026)
Views total18,804
Reactions total220
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 06:37 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.

What this channel posts

Photos
≈1,020
Videos
≈1,140
Links
≈2,740

Lifetime counters from Telegram’s own channel header, read 13 November 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.

Video runtime
1h 29m
Average length
2m 38s

Measured directly from 34 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.

Reaction mix

1,119 reactions across 61 posts, in 8 distinct kinds. The most used accounts for 49.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍55349.4%
❤31628.2%
🔥20118.0%
👏312.77%
🤮121.07%
🤩40.357%
👎10.089%
💩10.089%

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 61 of the 61 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 1,119 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 61 most recent posts we hold, published 23 June 2026 to 6 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 4 of 17 posts held from the last 30 days (23.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 15:00 UTC933 views23 reactionsread 13 November 2026

Please watch and share this full webinar on the risks of the new mRNA Flu vaccine as well as a review of the clinical data. https://rumble.com/v7h8snk-the-new-mrna-flu-vaccine-what-you-need-to-know.html

👍18🔥5

4 Nov 2026, 20:06 UTC992 views13 reactionsread 13 November 2026
Forwarded from @OfficialPlandemicPhoto

URGENT! Your ticket can help bring Bad Medicine to the theatre! MONTANA WE NEED YOU! We have a theater in Billings MT that needs 8 tickets sold by midnight tonight or we lose the theater. Call your friends in MT! Find a ticket here: badmedicinemovie.org 4 more theaters need your help or we lose them Nov 15th! Please spread the word to SAVE these theaters! Sarasota, FL: Burns Court Cinema. Needs 27 tickets sold P…

👍8🔥4❤1

4 Nov 2026, 20:05 UTC781 views18 reactionsread 13 November 2026
Forwarded from @OfficialPlandemic

Let’s set the record straight regarding my movie Bad Medicine: It’s come to my attention that someone is spreading misinformation. Once they see the movie, they will regret it, and if they are humble enough, they will see that they are doing the victims a disservice by attempting to discredit a movie that gives their voices a platform. First, let’s follow the money: Professionally produced documentaries typically …

❤13👍3🔥2

4 Nov 2026, 20:03 UTC671 views7 reactionsread 13 November 2026
Forwarded from @OfficialPlandemicPhoto

Photo, posted without a caption

👍5🔥2

4 Nov 2026, 20:03 UTC754 views4 reactionsread 13 November 2026

I did an interview for this film 4 years ago. I’m so glad these important stories are finally being told. Find out where you can buy tickets for the Dec. 16 screening! But now to ensure this comes to a theater near you!

👍4

4 Nov 2026, 20:00 UTC795 views11 reactionsread 13 November 2026

https://www.youtube.com/live/DJEckTD4saw?si=2fhmWLWl7akQmmOt

👍8❤2🔥1

2 Nov 2026, 15:39 UTC≈1,000 views17 reactionsread 13 November 2026
Video

Join us for Episode #23 of Cutting Through the Hype (available on YouTube, Spotify and Apple Podcast) as we discuss: Disaster Preparedness: What's in Your “Go” Bag? This week on Cutting Through the Hype, we're talking about practical, affordable ways to prepare for the unexpected, starting with the essentials: water, warmth, food, and power. We'll explore creative strategies for storing water, keeping food safe whe…

👍13🔥4

30 Oct 2026, 01:08 UTC≈1,310 views17 reactionsread 13 November 2026
Video

It's garlic planting time and this year I'm prioritizing planting a variety that will store really well. There are two main types of garlic, softneck and hardneck. Softnecks have smaller cloves that are more tightly wrapped with a papery wrapper (harder to peel) and the tight wrapper allows them to store, often throughout the entire winter. Hardnecks are known for their BIG, easy to peel cloves, but they dry out easi…

👍12❤5

30 Oct 2026, 01:05 UTC≈1,070 views17 reactionsread 13 November 2026
Video

Potatoes will last about 3 months on their own with Russet varieties lasting the longest and red potatoes sprouting first. My red potatoes are starting to sprout, so I'll put them outside where at least night temps are cooler.

👍14❤3

30 Oct 2026, 01:04 UTC933 views5 reactionsread 13 November 2026

https://youtube.com/shorts/zwsu06oos04?si=4CSWsOF0tFn0szxP

❤3👍2

30 Oct 2026, 01:03 UTC935 views4 reactionsread 13 November 2026

https://youtube.com/shorts/3XYWW6e-4Sw?si=mPpva6W2BegvN_aZ

👍4

30 Oct 2026, 01:02 UTC930 views4 reactionsread 13 November 2026

https://youtube.com/shorts/zm1-lhcZnD4?si=5X2Uhr6HQ7tLvBvi

👍4

Showing the 12 most recent of 61 posts we hold for @ChristinaParks. 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.

Forward network

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.

Appears in Telegram’s recommendations for other channels

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.

Dr. Lynn Fynn’s Science Enlightenment Channel & Stuff
@DrLynnFynn · 23,881
Telegram ranks this channel #4 of 84 here — alongside 83 others — read 16 September 2026
Dr John B.
@DrJohnB · 21,052
Telegram ranks this channel #25 of 85 here — alongside 84 others — read 23 September 2026
Steve Kirsch Channel
@stkirsch · 18,787
Telegram ranks this channel #28 of 88 here — alongside 87 others — read 3 October 2026
Dr. Simone Gold
@DrSimoneGold · 78,798
Telegram ranks this channel #38 of 89 here — alongside 88 others — read 18 August 2026
Mikki Willis Official
@OfficialPlandemic · 32,549
Telegram ranks this channel #71 of 85 here — alongside 84 others — read 4 September 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Dr. Christina Parks” (@ChristinaParks), 16,072 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/ChristinaParks.

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.