End Lay Offs engagement report
@Alt_Budget_cuts - 191K followers on X
Measured over 40 original posts from a 30-day window, last computed on October 11, 2026.
Engagement
A typical post picks up 6 interactions against 191K followers, an engagement rate of 0.003%. Measured over 40 original posts, its engagement rate beats 12% of 19,675 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 700 times each, and 0.786% of those impressions turn into an interaction. That is about 0.366% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 18:00 UTC, and Sunday is the busiest day of the week. Of the 40 posts sampled, 70% carry an image or video and 23% link out. The account's strongest tracked post pulled 18 interactions, about 3.0x its own typical post.
Measured over 40 original posts from a 30-day window, last computed on October 11, 2026.
Compared with accounts its own size
End Lay Offs's engagement rate beats 12% of the tracked X accounts closest to it in follower count (19,675 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 37% 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 0.003%, End Lay Offs sits below the 10th percentile of the 199,060 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.141% |
| 75th percentile | 0.667% |
| 90th percentile | 2.52% |
| 99th percentile | 82.4% |
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 18:00 UTC, and Sunday 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% | 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 70% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 23% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 70% 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.
- 23% 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 494 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 4, 20263.0x their median
out of bounds https://t.co/frslynfibz
- Oct 3, 20263.0x their median
red road https://t.co/nZ3Kc6DuED
- Sep 5, 20262.8x their median
looking at the sails https://t.co/JVBZkDGeC3
- Oct 3, 20262.7x their median
first dance https://t.co/40mxVaUmoi
- Sep 11, 20262.5x their median
From https://t.co/jNgqCM9DGV Why have taxes risen so enormously over the last forty years? In the early 1980s, employees developed a solution to a problem faced by the wealthy and large corporations. The level of salaries depends on the type of work, education, age, and experience. Additionally, employees naturally need a building to work in and they need machines. And let’s not forget raw materials to make products. So if a company wants to put 1,000 employees to work for a year to produce a product, considerable calculation is required to determine what this will cost. The question being whether this yields more than other investments a company or millionaire could make with the same amount. Over the last 3,000 years, employees have invented a method many times to ensure that their salaries were always paid. See the next chapter. During the crisis of the early 1980s, a situation threatened where many civil servants and employees would not be paid, and they reinvented the method. This time, however, large companies and governments discovered that they could use this method, budgeting/budget financing, to solve the investment problem. You reserve a budget of $1,000 per hour worked. This reservation is intended to pay salaries, buy buildings, buy machines, buy raw materials, etc. All costs a company must incur to put these 1,000 employees to work are covered by this reservation. Consequently, the total costs are simply the total number of working hours times $1,000. Based on the number of working hours, it can be calculated how many raw materials are needed, how large the building must be, how many office chairs need to be purchased, etc. And if there is budget left over at the end of the year, that is no problem at all, because budget is not real money. It is merely a calculation tool. The problem with this method is that most citizens and politicians do not know that budget is not real money. Which leads to the following situation: When a bridge that cost $30,000 50 years ago needs to be replaced, the budget is estimated at $50 million. $50 million for a bridge is, of course, far too expensive. So the project is planned, but does not go ahead after public consultation. As a result, a budget deficit of $50 million arises. Workers who build a bridge do not need a building, so 90% of this budget is never spent. In reality, this bridge ends up costing $50,000. But citizens and politicians are unaware of this. How does such an enormous budget deficit arise? You would think that if a project does not go ahead, then no buildings or machines need to be purchased and no salaries need to be paid. So you would think that this costs nothing. But the budgeting method is intended to ensure that there is always sufficient money to pay salaries, even when the work is not carried out (see next chapter). For that reason, planning a project but not executing it is treated as an expense in the accounting records. Now the municipality is going to cut costs. When making cuts, accountants always make a mistake that makes it appear as if the cuts have a revenue, in this case of $50 million (see further). But in reality, cuts have no revenue. The municipality uses that “revenue” to give the citizen a tax benefit. Budget is not real money. But the tax benefit is paid with real money. Money that the municipality had wanted to use to solve problems. The next time the municipality closes the accounts they discover that they have $50 million less than they thought. Governments always respond to this by raising taxes. In the last 40 years, they have done this many millions of times. As a result, the cost of living continues to rise and it becomes increasingly expensive to raise children.
- Oct 4, 20262.3x their median
hide and go seek https://t.co/seRhHR1Nng
- Oct 4, 20262.0x their median
Joseph Vernet The Four Times of Day Night https://t.co/BF1sywOTeF
- Oct 4, 20262.0x their median
Dutch homes https://t.co/Sa4vmi8ql9
- Sep 5, 20261.8x their median
crossbreed https://t.co/dWHsR57oel
- Sep 5, 20261.8x their median
celebrating nature https://t.co/eDV9QVMWWP
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 6 interactions against 191K followers, an engagement rate of 0.003%. Measured over 40 original posts, its engagement rate beats 12% of 19,675 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 700 times each, and 0.786% of those impressions turn into an interaction. That is about 0.366% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 18:00 UTC, and Sunday is the busiest day of the week. Of the 40 posts sampled, 70% carry an image or video and 23% link out. The account's strongest tracked post pulled 18 interactions, about 3.0x its own typical post.
- What is End Lay Offs's engagement rate on X?
- End Lay Offs (@Alt_Budget_cuts) has an engagement rate of 0.003%, based on the median interactions across 40 original posts from the last 30 days against 191,451 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.003%, End Lay Offs sits below the 10th percentile of the 199,060 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 @Alt_Budget_cuts have real engagement?
- Its engagement rate beats 12% of the tracked X accounts closest to it in follower count (19,675 accounts), which puts it in the bottom quarter 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 @Alt_Budget_cuts post?
- Most posts go out around 18:00 UTC, and Sunday is its busiest day, at roughly 1.37 posts per day across the measured window.