A milder rating does not clear a paid ticket

A 3 on a file that still mentions a flight ticket is not a pass. The star tells you how done the last carrier was. The sentence tells you whether the next desk should still treat this as an onboarding loss. Once you leave the lowest score, paid-travel misses get less common. They do not disappear.

Among the reviews carriers left on CDLScan, 6.0% mention paid travel with no arrival. That figure describes those reviews, not drivers in general: carriers write after a bad run, so the share tells you what shows up once someone bothers to report it.

Almost all of those write-ups already carry the lowest rating: 94.8% of the whole corpus sits on the floor. Inside that floor, paid-travel mentions are 6.3%. Above the floor — the thin 5.2% slice with a 2 or better — they fall to 1.0%. That is a 5.3-point drop. The event is still there. It is just a much smaller part of the mix.

I will not build a hiring philosophy on 5.2%. I will use it the way the data allows: as a contrast that shows the lowest rating is not a single story, and a rating above the floor is not a clearance on a ticket you already bought.

The star is heat. The sentence is the event.

Flight ticket, plane ticket, booked flight, bought flight, ticket never, never showed — that is the language of the unused ticket. It does the work. The number next to it tells you how hot the author was.

What rides with paid travel, across the whole corpus, is the empty-chair cluster. Drugs or alcohol sit in 31.3% of those reviews. A no-show sits in 27.5%. Going unreachable sits in 15.6%. Theft sits in 10.6%. An abandoned truck sits in only 8.4% — against a 33.5% base rate, far below chance. Stay away and waste your time sit in 42.3% — that is a verdict, the author’s recommendation to the next desk, not a second incident.

None of that mix is a star. You cannot recover it from a 1 versus a 3. You recover it from the sentence.

The contrast off the floor is useful because it is uneven. A no-show goes from 5.6% on the floor to 1.4% above it. Going unreachable from 8.3% to 3.4%. Theft from 9.2% to 3.0%. Drugs or alcohol from 12.1% to 3.8%. Those are empty chairs and walk-aways, and they concentrate where the carrier reached for the worst score.

What barely moves is also useful. Late or missed deliveries sit at 9.8% on the floor and 9.6% above it. A crash or damage: 13.8% versus 12.9%. Aggression: 13.9% versus 12.6%. A late load or a dented fender can produce a review that is still angry without being the worst number on the scale. A driver who took the ticket and never arrived usually cannot.

Verdict language drops hard: 33.4% on the floor, 9.3% above it. That is the carrier deciding the next employer should not waste a call. It is attitude toward the reader, not a fact about the driver.

How we count these shares is on the methodology page. The 5.2% slice is small. Treat every contrast as a difference in mix, not as a portrait of “good” reviews. There are almost no good reviews here.

The paid-travel climb itself — 1.7% of reviews in 2018 to 5.7% in 2025, last complete year — sits almost entirely inside this lowest-rating world. I stop that line at 2025. 2026 is still open. The companion essays are paid travel with no arrival, paid travel and a no-show, and what a lowest rating actually contains. No-shows as their own category are in no-show driver reviews.

Why recruiters misread the star

Because 94.8% of this corpus is already the floor, so a 1 feels like a conclusion. Because a 3 feels like a pass. Because a desperate desk wants a score instead of a sentence.

If you treat every lowest rating as “they took the ticket and vanished,” you will misread the file. 6.3% of those reviews mention paid travel. That means most of them do not. The same floor also holds late loads, damage, attitude, and a lot of verdict-only write-ups where the carrier is warning you without giving you a clean event.

If you treat a 2 or a 3 as a pass, you will also misread the file. Paid-travel mentions are still in 1.0% of that thin slice. A rating above the floor is not a character reference. It is a slightly different mix of complaints. On a category this concentrated, 1.0% is a remainder, not a clearance.

The pattern I’d watch for is the gap between the number and the sentence. Typical sequence, built from the mix, not from one person’s file: you open a profile, see the floor, and stop reading. Or you see a 3 and skip it. In both cases you skipped the sentence that would have changed the hire. The rating was never the screen.

A no-show still belongs with the empty chair even when the star is not the floor. That pairing is unpacked in paid travel and a no-show. A loaded walk-off still belongs with operations, not with this event — that split is in paid travel versus a loaded trailer. Do not let a milder star mash those two populations back together.

What official reports do with the rating

Nothing. PSP, an MVR, and the Clearinghouse do not store carrier star ratings. They store filed crashes, inspections, license actions, program events. A lowest-rating review about a late delivery and a lowest-rating review about an unused flight ticket look the same to those systems: they look like nothing.

That is why the mix inside the floor matters, and why the 1.0% above the floor still matters. The packet you already buy is silent on both. The write-up is not. Read the event. Use the rating only as heat.

A clean PSP on a paid-travel history is the default, not a finding. The filing systems were not built to hold a plane ticket that never got used. The review is. Check the name before you buy the next ticket, not after the hotel is empty.

I am not going to pretend this is an independent study. CDLScan is the source, and I write from the data they share. Paid-travel mentions are a small but expensive slice of what carriers bother to write down, they concentrate on the lowest rating, and they do not vanish when the star is milder.

What to do with a rated ticket file

Open the write-up. Ask what happened before you ask what it scored.

If the sentence is flight ticket, plane ticket, booked flight, ticket never — treat it as an onboarding screen even if the star is not the floor. Ask whether the last carrier bought travel, whether the candidate arrived, and whether orientation ever started.

If the sentence is left the truck or loaded trailer, you are in a different conversation. That is a walk-off screen. The milder star does not turn a walk-off into a missed flight, and the floor does not turn a late load into an unused ticket.

Do not average the stars and call it a score. 94.8% of this corpus is already the floor. An average here is a measurement of how often carriers bother to write, not of how often drivers fail.

Then look the name up across write-ups, not across ratings. Check it on CDLScan before you spend. It takes less than a minute. The useful part is the sentence, not the number beside it.

Frequently asked questions

Does 1.0% above the floor mean a 3-star review is still a missed flight?

No. It means that in the reviews carriers left on CDLScan, paid-travel mentions are still in 1.0% of the thin slice that is not the lowest rating. Read the sentence. Do not upgrade a complaint because it is not the worst number.

Is the 5.2% slice big enough to quote?

It is big enough to show a contrast. It is not big enough to build a second product on. I am using it as a foil for the floor, not as its own population study.

Why does paid travel drop 5.3 points off the floor if the event is the same?

Because the mix changes. Empty chairs concentrate where the carrier reached for the worst score. Late loads and damage barely move. The star is heat. The event is the sentence.

Does 94.8% mean almost every driver is rated a 1?

No. 94.8% is the share of reviews, among those carriers left on CDLScan, that carry the lowest rating. Carriers write after a bad run. It is a fact about the corpus, not a rate for all CDL holders.

Will a clean PSP tell me the rating was unfair?

No. Official reports do not store carrier stars. A clean packet means the filed items are clean. It does not classify an unused ticket, and it does not explain a 1 versus a 3.

What should I tell a hiring manager who wants a score?

Give them the event and the year, not an average star. An average in a 94.8% floor is a statistic about complaining, not about the driver pool.

Where do I read the write-ups?

On CDLScan, before you buy the ticket. Look at what happened. Use the rating only to know how done the last carrier was.