The phrase "as much error" is correct and usable in written English.
It can be used when comparing the amount of error in different contexts or situations.
Example: "In this experiment, we found that there was as much error in the measurements as there was in the calculations."
Alternatives: "equivalent error" or "the same amount of error".
Critics have long ago pulled Marx's doctrine of value to pieces; it is not less evident that the materialistic conception of history contains at least as much error as truth.
Additionally, quantification methods can be compared: A variant on the cookie cutter using an un-tensioned spline induced about twice (× 1.79) as much error.
Hortobagyi et al. [ 10] reported more than twice as much error in eccentric and concentric force-matching tasks in a knee OA population compared with healthy controls, although no impairment was detected during isometric force matching.
Volvo's goal is to eliminate injuries or fatalities in crashes in its vehicles by 2020, which means removing as much human error as they can.
The goal of autonomous cars is to improve safety by removing as much human error as possible, which requires the vehicles and their data to be safe and reliable.
The LAPD continues to search for ways to remove as much human error as possible from the reporting process, Moore said.
The nonlinear Hunt Crossley model best predicted the contact force while the linear Hunt Crossley model had twice the normalized error of the Hertzdamp model, which was still only half as much as the error in other three models.
Today, he said, "there is the possibility that the housing recession will spill over to a broader credit market; you don't have as much room for error".
They may not have as much room for error on Sunday, with Philip Rivers always presenting a threat for a big game, having thrown for 300 yards or more 28 times in his career.
These are the same people who use the word as a definitive intelligence measure – see the snobbery over Jamie Redknapp last year – which in my mind is as much of an error as using a specific piece of knowledge as a mark of cleverness ("X% of Americans don't know where Armenia is! So stupid…").
There's not as much room for error as there was even a year ago.
