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Peter Schiff engagement report

@PeterSchiff - 1.8M followers on X

Measured over 151 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.087%
of 1.8M followers
Per impression
1.84%
84K views on a typical post
Reach
4.72%
of its followers see a post
Typical post
1.5K
interactions (median)
Saved
0.056%
47 bookmarks on a typical post
Posting rate
7.33/day
active 100% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 1.5K interactions against 1.8M followers, an engagement rate of 0.087%. Measured over 151 original posts, its engagement rate beats 69% of 20,182 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 84K times each, and 1.84% of those impressions turn into an interaction. That is about 4.72% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 7.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 151 posts sampled, 22% link out. The account's strongest tracked post pulled 19K interactions, about 13x its own typical post.

Measured over 151 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

Peter Schiff's engagement rate beats 69% of the tracked X accounts closest to it in follower count (20,182 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 65% 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 0.087%, Peter Schiff sits above the 25th percentile of the 204,491 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.677%
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 14:00 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.

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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video4% of posts+111%+108% to +115%34K
Outbound link22% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 4% 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.
  • 22% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 401 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

  • Aug 21, 202613x their median

    This morning Trump proudly announced a deal to lower beef prices by reducing quotas and tariffs on imported beef. But that's also an admission that tariffs increased prices paid by American consumers. If removing tariffs lowers prices, then imposing them must have raised prices.

    16K2.6K672154358K viewsView on X
  • Aug 14, 202612x their median

    I noticed Wikipedia is asking for donations. Never donate anything to Wikipedia. The world would be a better place if Wikipedia didn't exist. It's a highly biased propaganda arm of the radical left, spreading disinformation and fake news to advance a far-left political agenda.

    16K1.5K1.0K106297K viewsView on X
  • Oct 9, 202612x their median

    Today Trump announced a deal to supply Russian diesel to U.S. and global markets. Just three weeks ago, he signed a law targeting major buyers of Russian oil and gas with tariffs of up to 100%. The goal was to cut off funding for Putin’s war against Ukraine. So what changed?

    14K1.9K1.8K198747K viewsView on X
  • Sep 26, 20268.8x their median

    The S&P 500 is 0.7% below a record high, yet 430 of those stocks are 21.7% below their highs. That means on average 86% of the stocks are in a bear market. Breadth has only been this bad twice, in January 1973 and in 1999/2000. On both occasions, the S&P then crashed nearly 50%

    12K1.2K5711952.0M viewsView on X
  • Sep 22, 20268.6x their median

    Back in the late 1800s and early 1900s when millions of immigrants flooded our shores, no paperwork was required to immigrate. No passports, visas, or work permits. Anyone who could afford a ticket could board a ship, arrive in America, answer a few basic questions, and be on their way. They could stay as long as they wanted, work wherever they wanted, buy property, start businesses, and basically do anything any American citizen could do. In fact, in most states, they could legally vote in local, state, and even national elections, subject to the same poll tax, literacy test, or other qualifications required of American citizens. If they wanted to naturalize, they just needed to register their intent and were given seven years to complete the paperwork necessary to become American citizens, which millions of immigrants were proud to do. Things began to change in the 1930s with the advent of social security numbers, and then more so with the Alien Registration Act of 1940, signed into law as a WWII security measure. When the war ended, instead of being repealed, in 1946 it evolved into what we now call Green Cards. In effect, we had completely open borders and the country thrived. In fact, during the decades we now call the Gilded Age—the high-growth period that Donald Trump claims he wants to emulate—our borders were wide open. The reason this worked so well is that we had no welfare state. People came to America for freedom and opportunity only. They came to contribute to our economy, not live off it. They did not drain our resources; they added to them. The lesson is that immigration is not the problem. The problem is the welfare state. Shut off that magnet and America will no longer attract people looking for free stuff. In fact, we need to turn off that magnet for everyone, so those who are looking for free stuff will leave to seek it out someplace else.

    9.3K1.1K2.6K298779K viewsView on X
  • Aug 20, 20267.8x their median

    Secretary of the Treasury Scott Bessent said the free market is mispricing long-term bond yields. So he wants to use the superior judgment and power of central government planners to correct the mistakes of capitalism. Good thing we didn't elect a Democratic Socialist president.

    10K1.4K245102414K viewsView on X
  • Sep 10, 20267.0x their median

    Today Trump tried to buy the midterms by offering all voters a $5,000 bribe in exchange for their votes, provided they spend the cash in the U.S. Since the Fed will have to print the money, the result would be massive inflation, well in excess of anything experienced under Biden.

    8.8K1.0K892103306K viewsView on X
  • Oct 17, 20266.4x their median

    Letting everyone vote was a deadly mistake… Many of the Founding Fathers warned against mass democracy. The uninformed masses and hordes of migrants simply vote for more benefits from the state. Several Western nations are now headed toward fiscal collapse, led by France.

    8.7K86119651373K viewsView on X
  • Oct 16, 20266.2x their median

    Oil is above $100. The main reason it's not closer to $150 is all the oil being released from the Strategic Petroleum Reserve. That will stop after the midterms. When it becomes obvious that inflation will outpace Fed rate hikes, the dollar will fall, sending oil prices soaring.

    8.1K1.2K28172394K viewsView on X
  • Oct 19, 20266.0x their median

    My electricity bill for my primary residence was 24% higher in Oct. 2026 than it was in Oct. 2025. It's the same house with all the same appliances. This isn't what happens in an economy where the inflation rate is anywhere near 2%. That's just one bill. They're all going way up.

    7.8K87847251255K 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.

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Reading these numbers

A typical post picks up 1.5K interactions against 1.8M followers, an engagement rate of 0.087%. Measured over 151 original posts, its engagement rate beats 69% of 20,182 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 84K times each, and 1.84% of those impressions turn into an interaction. That is about 4.72% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 7.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 151 posts sampled, 22% link out. The account's strongest tracked post pulled 19K interactions, about 13x its own typical post.

What is Peter Schiff's engagement rate on X?
Peter Schiff (@PeterSchiff) has an engagement rate of 0.087%, based on the median interactions across 151 original posts from the last 30 days against 1,771,101 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.087%, Peter Schiff sits above the 25th percentile of the 204,491 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 @PeterSchiff have real engagement?
Its engagement rate beats 69% of the tracked X accounts closest to it in follower count (20,182 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 @PeterSchiff post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 7.33 posts per day across the measured window.

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