P.D. Mangan Health & Freedom Maximalist 🇺🇸 engagement report
@Mangan150 - 899K followers on X
Measured over 50 original posts from a 30-day window, last computed on August 30, 2026.
Engagement
A typical post picks up 153 interactions against 899K followers, an engagement rate of 0.017%. Measured over 50 original posts, its engagement rate beats 43% of 3,829 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 29K times each, and 0.523% of those impressions turn into an interaction. That is about 3.26% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 50 posts sampled, 46% carry an image or video, 34% are part of a thread and 16% link out. The account's strongest tracked post pulled 25K interactions, about 160x its own typical post.
Measured over 50 original posts from a 30-day window, last computed on August 30, 2026.
Compared with accounts its own size
P.D. Mangan Health & Freedom Maximalist 🇺🇸's engagement rate beats 43% of the tracked X accounts closest to it in follower count (3,829 accounts, accounts of similar size (decile 9 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 34% 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 0.017%, P.D. Mangan Health & Freedom Maximalist 🇺🇸 sits above the 25th percentile of the 37,071 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.435% |
| 90th percentile | 2.10% |
| 99th percentile | 158.3% |
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 13:00 UTC, and Wednesday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 51K |
| 03:00 UTC | -4% | 54K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 49K |
| 07:00 UTC | -5% | 53K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 71K |
| 10:00 UTC | -2% | 73K |
| 11:00 UTC | -3% | 80K |
| 12:00 UTC | -2% | 88K |
| 13:00 UTC | -2% | 96K |
| 14:00 UTC | -4% | 99K |
| 15:00 UTC | -2% | 103K |
| 16:00 UTC | -3% | 100K |
| 17:00 UTC | -2% | 92K |
| 18:00 UTC | -1% | 86K |
| 19:00 UTC | -2% | 81K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 67K |
| 22:00 UTC | -1% | 58K |
| 23:00 UTC | -1% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 234K |
| Monday | 0% | 294K |
| Tuesday | -3% | 288K |
| Wednesday | -1% | 253K |
| Thursday | -2% | 247K |
| Friday | -3% | 256K |
| Saturday | +3% | 230K |
Best tweets
- Aug 13, 2026160x their median
Ventilators used for treating COVID-19 patients may have helped attribute to more de-ths than the virus alone, study suggests.
- Aug 21, 202661x their median
Slow down and remember this: Most things make no difference. Being busy is a form of laziness—lazy thinking and indiscriminate action. Being overwhelmed is often as unproductive as doing nothing, and is far more unpleasant. Being selective—doing less—is the path of the productive. Focus on the important few and ignore the rest.
- Sep 21, 202318x their median
Why I never workout for more than 75 minutes per week… And why you should (probably) train even less than I do. Here's why: https://t.co/I9lgaU0u2j
- Sep 14, 202413x their median
IP6, a cheap OTC supplement, is a novel anti-cancer agent. It works, at least in part, by binding and chelating iron, which cancer cells need abundantly to grow. https://t.co/6TkgktSwcH
- Aug 16, 202611x their median
https://t.co/ObCTnSKPvF
- Aug 20, 20267.1x their median
Sprint-interval exercise lasts less than 5 minutes but triggers more profound metabolic changes than 90 minutes of moderate cycling. A new study reveals why intensity, not duration, reshapes how your organs communicate. Researchers tracked nearly 3,000 proteins in blood before, immediately after, and 3 hours following two types of exercise in young, healthy males. Sprint-interval exercise consisted of six 30-second all-out cycling bursts with 4-minute rests between sets. Moderate-intensity exercise was 90 minutes of continuous cycling. The difference was striking. Sprint intervals altered 714 proteins immediately after exercise, more than 98% of which increased. Moderate-intensity exercise changed only 7 proteins at the same timepoint. The number increased to 19 after 3 hours, but remained dramatically lower than the sprint response. Think of your bloodstream as a communication highway. After intense exercise, it floods with signals that travel to different organs. The study identified proteins originating from muscle, fat tissue, liver, brain, immune cells, pancreas, and other organs. Skeletal muscle proved particularly sensitive to intensity. The researchers isolated human muscle cells and electrically stimulated them to mimic different exercise types. Simulated sprint exercise released 212 proteins into surrounding fluid. Simulated moderate exercise released only 9. But muscle wasn't working alone. Sprint exercise increased proteins from the pituitary gland that regulate stress responses, factors from the brain involved in blood vessel relaxation, and immune proteins that modulate inflammation. The pattern suggested coordinated signaling across multiple organ systems. The study also examined exercise metabolites, small molecules involved in energy production and cellular signaling. Sprint exercise immediately increased lactate, pyruvate, malate, and the obesity-suppressing compound N-lactoyl-phenylalanine (Lac-Phe). Moderate exercise showed a delayed response, with fatty acids rising primarily at the 3-hour mark. To understand where these signals end up, researchers exposed human fat cells to blood plasma collected after each exercise type. Plasma from sprint exercise triggered extensive changes to fat cell gene activity, affecting 1,128 genes. Plasma from moderate exercise changed only 25 genes. The remodeled fat cells showed activation of pathways controlling hormone responses, nutrient sensing, and fat breakdown. Several immune signaling receptors increased, suggesting exercise plasma primes fat tissue to respond to inflammatory signals differently. The findings held up in real tissue. When researchers biopsied abdominal fat before and 3 hours after a maximal treadmill test, 418 genes overlapped with those changed by sprint plasma in isolated cells. This confirms circulating factors from intense exercise genuinely alter fat tissue biology. Not all changes disappeared with training. After 8 weeks of regular exercise, the same intensity-dependent patterns persisted when participants repeated the acute tests. Growth hormone, von Willebrand factor, and POMC still increased more after sprints than moderate sessions. The clinical relevance became clear when researchers cross-referenced exercise-responsive proteins with a database tracking 53,026 people for disease outcomes. They identified 143 proteins increased by exercise that associated with lower disease risk. Of the 33 proteins specifically protective against type 2 diabetes, metabolic disorders, and obesity, 32 were elevated by sprint-interval exercise. Only 3 were elevated by moderate-intensity exercise. Proteins like ADGRG2, FGFBP1, and MXRA8 consistently showed strong protection across multiple metabolic conditions. This isn't an argument against moderate exercise. The sustained energy demands of longer duration activity clearly stimulate different adaptive pathways, particularly in the liver. Proteins like IGFBP1 and follistatin increased exclusively after moderate exercise, likely reflecting sustained shifts in insulin and glucagon signaling. The study reveals exercise intensity as a distinct variable that determines which protective signals reach your tissues, which organs respond, and potentially which disease risks decrease. The time-efficient nature of high-intensity exercise appears to work through fundamentally different signaling mechanisms than longer moderate sessions. Key findings: • Sprint-interval exercise altered 714 blood proteins immediately post-exercise vs. 7 for moderate-intensity exercise • 25% of all detectable proteins changed after sprint exercise, with >98% increasing rather than decreasing • Muscle cells released 212 proteins after simulated sprint exercise vs. 9 after simulated moderate exercise • Sprint exercise plasma changed 1,128 genes in human fat cells vs. 25 genes for moderate exercise plasma • Of 33 proteins protective against diabetes and obesity, 32 increased after sprint exercise vs. 3 after moderate exercise • Intensity-dependent responses persisted after 8 weeks of training, suggesting they reflect relative intensity rather than training status • Exercise metabolites showed distinct temporal patterns: lactate and Lac-Phe peaked immediately after sprints, while fatty acids increased later • Moderate exercise uniquely increased liver-derived proteins (IGFBP1, follistatin) at the 3-hour timepoint The mechanistic picture is incomplete. The study couldn't definitively prove which organs secrete which proteins, relying instead on tissue-specific gene expression databases and cell culture models. Blood volume shifts during exercise also complicate interpretation, though the findings held after correcting for plasma concentration changes. The research focused on young, healthy, predominantly male participants. Whether the same intensity-dependent patterns occur in women, older adults, or people with existing metabolic disease remains unknown. The protective associations came from observational data that can't prove causation. Still, the study offers a framework for understanding why brief, intense exercise produces adaptations comparable to or exceeding longer moderate sessions. The answer appears to lie in differential organ crosstalk triggered by metabolic stress signals that moderate exercise simply doesn't generate.
- Mar 31, 20255.5x their median
Could we prevent most cancer cases? My answer is yes. Here's why:
- Feb 28, 20265.3x their median
I’ll be 71 soon. Here are my 8 favorite longevity strategies for 2026, in no particular order: 1. Cold exposure 2. Dumping iron 3. Sun and grounding 4. Maintain good body composition (low body fat %) 5. Walking or swimming daily 6. Real food (no ultra processed crap) with plenty of protein 7. Train hard, not long: build muscle + high VO2max 8. Polyphenols from coffee, tea, chocolate, and wine
- Jun 5, 20254.5x their median
Coronary heart disease risk factors For both men and women, high cholesterol doesn't even make the top 5. And for both men and women, diabetes is the number one risk factor. Metabolic health rules all. https://t.co/qfpebFMwfw
- Apr 20, 20194.3x their median
Complete remission of stage IV metastatic melanoma with IP6 and inositol. Damn. https://t.co/scCLN3h1vl
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.
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Reading these numbers
A typical post picks up 153 interactions against 899K followers, an engagement rate of 0.017%. Measured over 50 original posts, its engagement rate beats 43% of 3,829 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 29K times each, and 0.523% of those impressions turn into an interaction. That is about 3.26% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 50 posts sampled, 46% carry an image or video, 34% are part of a thread and 16% link out. The account's strongest tracked post pulled 25K interactions, about 160x its own typical post.
- What is P.D. Mangan Health & Freedom Maximalist 🇺🇸's engagement rate on X?
- P.D. Mangan Health & Freedom Maximalist 🇺🇸 (@Mangan150) has an engagement rate of 0.017%, based on the median interactions across 50 original posts from the last 30 days against 898,876 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.017%, P.D. Mangan Health & Freedom Maximalist 🇺🇸 sits above the 25th percentile of the 37,071 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 @Mangan150 have real engagement?
- Its engagement rate beats 43% of the tracked X accounts closest to it in follower count (3,829 accounts), which puts it in the middle of its size range 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 @Mangan150 post?
- Most posts go out around 13:00 UTC, and Wednesday is its busiest day, at roughly 3.6 posts per day across the measured window.