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Arianna Huffington engagement report

@ariannahuff - 2.6M followers on X

Measured over 40 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 2.6M followers
Per impression
0.295%
6.3K views on a typical post
Reach
0.24%
of its followers see a post
Typical post
18
interactions (median)
Saved
0.016%
1 bookmarks on a typical post
Posting rate
1.67/day
active 73% of days
Peak time
15:00 UTC
Friday

A typical post picks up 18 interactions against 2.6M followers, an engagement rate of 0.001%. Measured over 40 original posts, its engagement rate beats 9% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 6.3K times each, and 0.295% of those impressions turn into an interaction. That is about 0.239% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 40 posts sampled, 75% carry an image or video, 8% are part of a thread and 50% link out. The account's strongest tracked post pulled 932 interactions, about 52x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on October 25, 2026. Recurring tag: #thinkhealth.

Compared with accounts its own size

Arianna Huffington's engagement rate beats 9% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 21% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.001%, Arianna Huffington sits below the 10th percentile of the 205,048 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 15:00 UTC, and Friday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video75% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 75% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 50% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 778 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Oct 2, 202652x their median

    Wise words, whether we're elite athletes competing at the highest levels or building healthy habits in our daily lives. Congrats to @CaitlinClark22 — @WNBA Comeback Player of the Year! — on a great season, and thank you for your deep commitment to helping people live healthier lives by putting a spotlight on healthy behaviors, including the role of exercise as one of the most powerful preventative medicines, and reminding us all to start how we can.

    8178825219K viewsView on X
  • Jul 16, 202634x their median

    If you can smell wildfire smoke, your lungs are already paying attention. Don’t wait until you feel sick. Here are a few low-cost, evidence-based ways to protect yourself indoors. https://t.co/zaXfLM1sos

    4751316334K viewsView on X
  • Jul 20, 202624x their median

    So inspired by @DjokerNole's new documentary Wolf in Winter out next month on @PrimeVideo. We’ve all seen the mind-bending numbers — 24 Grand Slams, an Olympic gold medal, 428 weeks as world number one — and Djokovic has been open about what helps him keep up his amazing mental and physical performance: conscious breathing and meditation, mindful eating, exercise, sleep, recovery. But what I love most about the film are the universal and deeply human themes it covers: family, sacrifice, resilience, determination, self-judgment, self-belief, spirit and love. Check it out next month! Image Credit: Getty

    347499222K viewsView on X
  • Jul 28, 202616x their median

    Obesity is a chronic disease, and Medicaid beneficiaries deserve access to the same evidence-based care as anyone else. This isn't a choice between medication and healthy habits. For eligible patients, GLP-1 therapies should complement—not replace—nutrition, physical activity, sleep and ongoing clinical care. The federal BALANCE Model gives states a practical path to deliver that comprehensive care. While the negotiated cost is $245 per patient per month, states pay only a fraction of that because Medicaid is jointly financed by state and federal governments. For most states, the actual cost is approximately $58–$122 per patient per month, depending on their federal matching rate. At a time when Medicaid budgets are under real pressure, it's especially important to invest in interventions backed by strong evidence and with the potential to improve every aspect of health. As states weigh whether to participate, the conversation should be grounded in both the evidence and the full financial picture. Patients deserve access to clinically appropriate obesity care regardless of their income or ZIP code. And policymakers deserve an honest accounting of what participation actually costs. With the July 31 application deadline approaching, raising awareness with @thrive founder and CEO @ariannahuff:  Governors and Medicaid leaders should give the BALANCE Model careful consideration so that access to evidence-based obesity care is determined by medical need—not income or ZIP code.

    227566417K viewsView on X
  • Sep 30, 202614x their median

    Wonderful time with @DanielaAmodei at @AnthropicAI. What an inspiring leader, going from studying literature, playing the flute and working in global health to president of Anthropic. https://t.co/L2z5rbs57Y

    219914339K viewsView on X
  • Jul 14, 202611x their median

    Seventeen years ago, @Captsully landed a US Airways flight in the Hudson River after a bird strike, saving all 155 people on board. Now he’s taking on a new challenge as he reveals his recent Alzheimer’s diagnosis. And just as he used his platform after “The Miracle on the Hudson” to speak out about air safety, he’s now continuing to be of service. As he put it, “Over the years, when people would ask about the successful outcome of Flight 1549, I would say that ‘courage can be contagious,’ and on that day it helped everyone band together to get everyone off that airplane successfully. Now we need that courage to battle this disease. I am now part of a larger community with many of you, and we will be courageous together.”

    169252210K viewsView on X
  • Sep 3, 202610x their median

    Gloria Steinem was a true pioneer — not just for the many accomplishments in her own life, but for what she made possible for all the women she inspired. She didn’t just open doors for generations of women, she expanded our imagination of what’s possible. Her legacy will only grow, since it’s being lived every day in the lives of countless women daring to achieve their full potential.

    1422122212K viewsView on X
  • Jul 13, 202610x their median

    A great lesson from Karolína Muchová, who lost in the Wimbledon final against her friend and Czech counterpart Linda Nosková. Despite losing in three sets, Muchová was able to celebrate her friend’s win with grace and humor and express gratitude to all those who helped her make it to the final. As she said, “I’ll be fighting. And I hope I’ll get a chance to get to the final again.”

    159175121K viewsView on X
  • Jul 20, 202610x their median

    I love coincidences — the combination of improbability, timing and felicity has a kind of magic power. So while the World Cup might be over (enhorabuena Spain!), the image that will stick with me is the photo of a 20-year-old Lionel Messi giving a bath to a 5-month-old Lamine Yamal. The improbability defies comprehension: that Messi would be playing in Barcelona, that Yamal's mother would sign up for a raffle to appear in a calendar, that she would win the raffle, that Messi would be randomly assigned to Yamal, that Yamal would grow up to be a soccer star, that 39-year-old Messi would still be playing, and that their teams would advance to the World Cup final! The odds are…slim. More extreme than "one in a billion," as Joan Monfort, the photographer who took the photo, said.

    1292813112K viewsView on X
  • Aug 19, 20267.8x their median

    https://t.co/9UGXci8ZDY

    12398114K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#thinkhealth

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 18 interactions against 2.6M followers, an engagement rate of 0.001%. Measured over 40 original posts, its engagement rate beats 9% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 6.3K times each, and 0.295% of those impressions turn into an interaction. That is about 0.239% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 40 posts sampled, 75% carry an image or video, 8% are part of a thread and 50% link out. The account's strongest tracked post pulled 932 interactions, about 52x its own typical post.

What is Arianna Huffington's engagement rate on X?
Arianna Huffington (@ariannahuff) has an engagement rate of 0.001%, based on the median interactions across 40 original posts from the last 30 days against 2,624,171 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Arianna Huffington sits below the 10th percentile of the 205,048 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @ariannahuff have real engagement?
Its engagement rate beats 9% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @ariannahuff post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 1.67 posts per day across the measured window.

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