July 6, 2015

0-60 Times

Many people are interested in car performance metrics, and for many different reasons. No matter if you are a car gook, a gear head, or just a driver who is interested in the performance of different types of cars, chances are that you’ve heard of and/or looked at 0 to 60 times and quarter mile speeds. But what you might not know are the variables that are included in those measures of performance and that some of the information out there may not be as accurate as other information. We strive to bring you only the most accurate performance information available. We focus specifically on 0 – 60 times and quarter mile speeds. Some people use these measure to find out if their car is performing at peak efficiency. Other drivers use these numbers to help them to decide what type of vehicle to purchase, or what a vehicle might be worth to them. No matter your reasoning for wanting to know 0 – 60 times or quarter mile statistics, these number are obviously important to you. And where you get your numbers from should be important, too.

 

In order to ensure that you are getting the most accurate data possible from us, we take into account a great deal of variables that may influence t0 – 60 times as well as quarter mile speeds. Especially in the instances of tracking times down to hundredths of a second, it is important to understand what variables may be at play and how they can affect those times.

 

Certain factors can cause 0 – 60 times to vary a great deal. Some of those factors are as follows:

  • The amount of fuel in the car’s fuel tank
  • Tuning of the car (if it is tuned correctly for optimum performance)
  • External air temperature
  • Engine temperature
  • Surface on which the test is conducted
  • Features added or removed from car based on what is available for any given car model
  • Overall weight of car (if any options create a heavier or lighter overall weight)
  • Weight of the driver
  • Experience level of the driver
  • Condition of the race track surface
  • Weather conditions
  • Barometric pressure
  • Driving style of the driver in the test

These, as well as other factors, can cause discrepancies of a hundredth or even a tenth of a second from one test to the next. Depending on your reasons for looking at these performance metrics, this may or may not make a difference to you. But it is a good idea to keep them in mind, should you be looking for exact numbers.

 

Another variable that you may find, and this occurs even in some of our results, is that some sources reported are European. This means that a 0 – 60 time quoted may actually be a 0 – 62 time. We do note this with the results when it occurs, but it is worth mentioning here as well.

 

Keep in mind, also, that not every make and model of car gets faster year after year. While an increase in horsepower, for instance, may have you believing a faster quarter mile or 0 – 60 time should follow, many changes in the construction of the car could quickly and easily negate that added power. Manufacturers may add features, or change components, and add more weight to a vehicle for a variety of reasons. Aerodynamics can change, too. Because of this, the only way to ensure that we are providing the most accurate information is to get new test results for 0 – 60 times and quarter mile stats every year with every new and emerging model.

 

While some drivers attempt to create their own 0 – 60 time tests, it is important to remember that the best and most accurate tests are done by professional drivers under very controlled conditions. They possess all of the needed safety equipment and conditions to perform these tests accurately and safely.

 

One thing that my influence the results of a 0 – 60 time and, hence, a quarter mile statistic is wind. For this reason, the test is always done twice, in opposite directions. This ensures that the 0 – 60 time is not influenced by a head wind or tail wind.   The two speeds are then averaged to determine the actual time. We are committed to bringing the most accurate data to our gear heads and car buffs. This means that if a variable could cause even a few tenths of a change in reported numbers, we look for more accurate data.

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