Christina Farr ✓
@chrissyfarr · Queens, NY · joined 03 Nov 2010
Second Opinion Media CEO writing about the future of healthcare. GP @ Scrub Capital. Host of Lifers. Author: The Storyteller's Advantage (Hachette)
99 641Followers
2 758Following
51 776Posts total
221.4KViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
@chrissyfarr crisis pr is a leading cause of stupid semantics timesink
343 views · 2 likes
· 0 reposts · 0 replies
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Now imagine what it’s like to be @JohnCarreyrou. This was just a follow up piece to his incredible reporting that exposed the whole house of cards.
761 views · 18 likes
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Just re-sharing for fun one of the extended emails I got from Theranos’ crisis comms firm in response to my reporting.
This is what it is like to be a journalist.
Hollowed out newsrooms battling PR firms, law firms & huge company budgets. https://t.co/icJ9ycjnkT
11K views · 95 likes
· 7 reposts · 10 replies
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Totally incorrect, it wasn’t SaaS software. It was blood tests giving people medical results. Healthcare decision-making that impacts patients’ lives is based on that information.
Not to mention how she and her colleagues treated anyone who called it out.
12.3K views · 133 likes
· 2 reposts · 10 replies
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Your health plan's most important relationship isn't with you, or your employer, or even the government. It's with the hospital systems.
@nickpreber found that out when he was building networks and took physician quality data to a few big academic medical centers.
Watch the full
2.8K views · 20 likes
· 1 reposts · 2 replies
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0:43
I had some interactions with Elizabeth Holmes while in healthcare media. My #1 flag is that every biotech founder I had ever met wanted to speak to the data. She was the first to totally shut down the question.
Never wrote a positive Theranos story. Found it very unnerving.
41.4K views · 473 likes
· 15 reposts · 16 replies
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@chrissyfarr nah i didnt find it very useful at all
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Somewhere in your care there's a job that requires knowing all of it. Every specialist, every result, every medication.
No one is assigned to it. Eric Larsen calls it immoral that it falls to the patient who is in pain.
Watch / Listen:
Spotify:
https://t.co/V136PzN89E
Apple:
3.1K views · 10 likes
· 5 reposts · 2 replies
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@chrissyfarr A gap worth a line in the headwinds section: there is no published error data for AI-generated behavioural health notes anywhere. Ambient documentation already sells into the segment. We went looking for a licensed therapy transcript set to test against and could not
179 views · 0 likes
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@chrissyfarr A very good piece @chrissyfarr ! Thanks for putting this one together.
243 views · 1 likes
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🚨Here it is. My 16-page opus about the behavioral health market in 2026.
- What's driving growth?
- Who are the market leaders?
- Headwinds?
- Growth strategies?
& more
I talked to a mix of payers, clinicians & operators.
Hope it's useful!
https://t.co/64k64sce08
147.2K views · 40 likes
· 6 reposts · 7 replies
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@chrissyfarr @WilliamVanNoll @ZekeEmanuel @drjohnwhyte A physician who doesn’t care and a representative who doesn’t advocate. I think most of us practicing physicians will pass on what either one of these have to say.
394 views · 10 likes
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@chrissyfarr @ZekeEmanuel @drjohnwhyte Maybe the AMA can now stop lobbying for caps on liability when doctors hurt or kill patients!
1.2K views · 4 likes
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@chrissyfarr @ZekeEmanuel @drjohnwhyte In 2016, Zeke said by 2026 we won't need radiologists because of AI. Did you ask him why we should listen to him now when he got it so wrong before?
543 views · 7 likes
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เทียบกับบัญชีขนาดเดียวกัน
14 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม ต่ำกว่าบัญชีรุ่นเดียวกันทั้งการเข้าถึงและการมีส่วนร่วม.
ยอดดูมัธยฐาน988บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %0.99%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.70%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 10K–100K | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 988 | 924 | 1.07× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 0.99% | 3.62% | 0.27× |
| อัตราการมีส่วนร่วม | 0.70% | 1.52% | 0.46× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
54321 Aug
1.2K
39422 Aug
147.2K4 Sep
2435 Sep
179
3.1K6 Sep
177 Sep
41.4K
2.8K
12.3K
11K8 Sep
761
343
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.29%21 Aug
0.49%
2.54%22 Aug
0.04%4 Sep
0.41%5 Sep
0.00%
0.55%6 Sep
0.00%7 Sep
1.22%
0.81%
1.19%
1.04%8 Sep
2.37%
0.58%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes79.3%813 in total
Reposts3.5%36 in total
Replies4.8%49 in total
Quotes0.7%7 in total
Bookmarks11.7%120 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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