In short
The time-saving bias is the tendency to misjudge how much time is saved by speeding up: the gain from raising a low speed is underestimated and the gain from raising an already high speed is overestimated, because time saved depends on the inverse of speed while intuition treats it as proportional to the increase. It shows up in driving, in paying for a faster internet connection, in deciding which production line to upgrade, and in any plan built around doing something faster.
How the time-saving bias works
The arithmetic is the whole story, and it is counterintuitive. The time a trip takes is distance divided by speed, so the time saved by going from one speed to another is the distance multiplied by the difference between the two inverse speeds. Over 100 miles, going from 40 to 50 mph saves 30 minutes; going from 80 to 90 mph, the same 10 mph gain, saves 8 minutes and 20 seconds. The same increase buys less and less as the starting speed rises, because each extra mile per hour is a smaller share of a larger number.
Intuition does not work with inverses. Svenson showed in 1970 that people's estimates of time saved fit a proportion heuristic: the saving is judged as the proportion the speed increase represents, with the starting speed given too little weight. In his 2008 paper, which named the bias, he showed that in a choice between two speed increases this heuristic simplifies to a ratio rule, and that the rule predicted the wrong choices people made. Peer tested the proportion heuristic against a simpler difference heuristic, in which only the size of the increase matters, and found some evidence for the latter in 2010; either way, the starting speed is neglected, and neglecting it produces the two halves of the bias at once. From a low starting speed the saving is underestimated; from a high one it is overestimated.
The pattern is not confined to drivers answering questionnaires. Fuller and colleagues put four speed-change questions to a representative sample of 1,005 UK drivers in 2009 and found that drivers believed a speed rise saved more time the higher the starting speed, the opposite of the truth. Peer and Solomon interviewed taxi drivers mid-journey in 2012 and found the same misestimations of speed, journey time and time saved as among ordinary drivers, with somewhat smaller overestimates. Eriksson, Svenson and Eriksson put the task into a driving simulator in 2013, asking drivers to repeat a stretch of road at whatever speed would gain exactly three minutes, and the bias survived the experience of actually driving.
The same mistake appears wherever a rate is quoted. Svenson showed it in planning doctors' time in clinics and in choosing which production line to speed up, and de Langhe and Puntoni found in 2016 that consumers given productivity metrics such as megabits per second paid more for increases at the high end of the range, where the time saved is smallest.
The original study
Ola Svenson published "Decisions among time saving options: When intuition is strong and wrong" in Acta Psychologica in 2008. The paper built on his 1970 finding, from a functional measurement study in the Journal of Experimental Psychology, that estimates of time saved by increasing driving speed follow a proportion heuristic rather than the correct inverse relation. The 2008 paper asked what that heuristic does when people are not estimating a saving but choosing between two of them.
Three studies answered. In the first, participants chose between pairs of road improvements described by the mean speeds they would produce, and the ratio rule derived from the proportion heuristic predicted their choices, which were the wrong ones: the option that raised the already higher speed by a larger proportion was preferred although the option that raised the lower speed saved more time. The second study moved the problem to health care, asking which of two clinics should be reorganized to free more of the doctors' time for patients, and found the same bias. The third used a matching procedure in which participants adjusted one option until it seemed to save as much time as the other, and the matches again followed the ratio rule. Svenson concluded that the studies had illustrated a time-saving bias and explained why people make systematic errors when judging and deciding about time saved after a speed increase.
The figure on the result screen comes from Peer's 2010 study of 79 drivers in Judgment and Decision Making, whose appendix reports every question and mean response; 75 of the 79 answered the item quoted.
Read the diagram and evidence as text
For the same 40 kilometer trip, the starting time at 40 km/h is 60 minutes. At 60 km/h the correct time is 40 minutes, shown by a circle, while the mean driver estimate is 44.4 minutes, shown by a diamond. On a shared zero-to-sixty elapsed-minute scale, the remaining interval to the original finish is therefore 20 minutes versus 15.6. Desktop time runs rightward and phone time runs downward.
A 40 km trip: arithmetic against intuition
Scale 0 to 60 minutes, the trip at 40 km/h. Circle: the arithmetic. Diamond: mean estimate of 75 drivers.
| Condition | Value and unit | Evidence quote |
|---|---|---|
| Trip length | 40 kilometers | a 40 kilometer trip that takes 60 minutes at 40 km/h |
| Starting speed | 40 km/h | takes 60 minutes at 40 km/h |
| Raised speed | 60 km/h | would take at 60 km/h |
| Drivers answering the item, of 79 in the study | 75 drivers | the 75 who answered the question |
| Stated trip time at the starting speed | 60 minutes | a 40 kilometer trip that takes 60 minutes at 40 km/h |
| Correct trip time at the raised speed | 40 minutes | when the answer is 40 |
| Mean estimated trip time at the raised speed | 44.4 minutes | said 44.4 minutes on average |
| Time actually saved by the increase | 20 minutes | crediting the increase with 15.6 minutes saved instead of 20 |
| Time credited to the increase by the mean estimate | 15.6 minutes | crediting the increase with 15.6 minutes saved instead of 20 |
Everyday examples
The rows below are illustrations of decisions in which a rate stands in for a time. They are not findings from the studies cited on this page, except where one is named.

| Situation | What the bias does | What helps |
|---|---|---|
| Running late on a freeway and pushing from 70 to 80 mph | The extra 10 mph feels like it buys back the lost minutes; over 20 miles it saves about two | Work out the arrival time at both speeds before deciding it is worth it |
| Crawling through town at 20 mph and shrugging at a route that averages 30 | The gain from leaving the slow road is underestimated, and it is the largest gain available | Compare minutes per mile rather than miles per hour: 3 minutes a mile against 2 |
| Paying for the top internet tier because it is twice as fast | The download time saved at the top of the range is small, and the metric hides it (de Langhe and Puntoni, 2016) | Ask how many seconds a typical download takes on each plan |
| Choosing which of two production lines to upgrade | The line already running fast looks like the better candidate; the slow line saves more hours (Svenson, Gonzalez and Eriksson, 2014) | Convert output per hour to hours per batch before comparing |
| Deciding whether a speed limit cut costs commuters much | The time lost from a cut at low speeds is judged small when it is large, and the reverse at high speeds | Publish the journey-time difference, not the speed difference |
How to counter it
The bias comes from the unit, so the remedy is to change the unit.
- Think in pace, not speed. Minutes per mile, or minutes per 10 miles, is proportional to time, so differences in pace are differences in time. Peer and Gamliel showed in 2013 that drivers given pace information estimated journey times, time savings and required speeds more accurately.
- When a choice is between two speed increases, compute both trip times. The saving is the difference between distance divided by the old speed and distance divided by the new speed.
- Remember the direction of the error: a gain from a low speed is worth more than it feels, and a gain from a high speed is worth less. If you are already fast, the next increment is the least valuable one.
- When you buy anything sold by rate, megabits per second, pages per minute, items per hour, ask for the time a typical job takes. The time is what you are paying for.
- When speed costs risk, as it does on the road, set the saving against the cost in the same units. Svenson's 2009 participants underestimated the growth in stopping distance and in crash risk with speed, and overestimated the time saved.
What it is not
The time-saving bias is a specific error about rates and inverses. Its neighbors concern time and quantities in other ways.
- It is not the planning fallacy, the underestimation of how long a task will take. Svenson connected the two, since someone who overestimates what speeding up will recover may plan too little time, but the planning fallacy appears with no speed change involved.
- It is not the Weber-Fechner law, the finding that a difference is judged against its base, so that 10 mph seems smaller at 80 than at 40. That judgment of the increase is accurate as far as it goes; the time-saving bias is the failure to invert it, since the smaller-seeming increase at 80 also saves less time.
- It is not money illusion, where a nominal figure is mistaken for its real value. The two share a shape, a visible number standing in for the quantity that matters, but money illusion is about prices and the time-saving bias is about rates.
Tests and tools that use this
Related biases
Time-Saving Bias FAQ
What is the time-saving bias?
It is the tendency to misjudge how much time a speed increase saves: people underestimate the saving from raising a low speed and overestimate the saving from raising an already high speed. Time is distance divided by speed, so the same 10 mph gain saves far less at 80 mph than at 40, but intuition treats the saving as proportional to the increase. Ola Svenson named the bias in 2008 after showing it in choices between road improvements.
How much time does speeding up actually save?
Time saved equals the distance multiplied by the difference between the two inverse speeds. Over 100 miles, raising a steady speed from 40 to 50 mph saves 30 minutes, from 60 to 70 saves about 14, and from 80 to 90 saves 8 minutes and 20 seconds. Over the 20 miles of a typical commute the figures are one fifth of those: 6 minutes, under 3, and under 2. The faster you already are, the less the next increment buys.
Why does intuition get this wrong?
Because intuition works with the speeds it is shown and not with their inverses. Svenson found in 1970 that estimates follow a proportion heuristic, the saving judged as the proportion the increase represents, which gives the starting speed too little weight. Peer found in 2010 some evidence for an even simpler difference heuristic in which only the size of the increase matters. Either way the starting speed is neglected, and neglecting it produces both halves of the bias.
Does the bias affect how fast people drive?
The evidence says yes. In a study published in Accident Analysis and Prevention in 2010, Peer found that drivers who showed the largest time-saving bias named much higher speeds as the speed they would need to arrive on time. Eriksson, Svenson and Eriksson found in 2013 that drivers in a simulator, told to repeat a stretch at whatever speed would gain exactly three minutes, chose speeds that reflected the bias. Peer and Solomon found in 2012 that taxi drivers, despite their experience, misestimated savings much as other drivers did.
How did the demo on this page decide my result?
It compared your two answers with each other. Giving the 40 to 50 mph increase more minutes than the 80 to 90 increase, by more than five minutes, is the direction the arithmetic gives; giving the 80 to 90 increase more is the reversal the bias produces; answers within five minutes of each other count as the same. The chart also draws each answer against the true saving, 30 minutes and 8 minutes 20 seconds, so you can see how far each guess was off.
What is the best way to avoid the time-saving bias?
Convert speed to pace. Minutes per mile, or per 10 miles, is proportional to time, so differences in pace are differences in time, and Peer and Gamliel found in 2013 that drivers given pace information estimated savings and required speeds more accurately. Failing that, compute both trip times: distance divided by each speed. For anything sold by rate, such as internet speed, ask for the time a typical task takes on each option.
References
- Svenson, O. (2008). Decisions among time saving options: When intuition is strong and wrong. Acta Psychologica, 127(2), 501-509. doi.org
- Peer, E. (2010). Exploring the time-saving bias: How drivers misestimate time saved when increasing speed. Judgment and Decision Making, 5(7), 477-488. doi.org
- Peer, E. (2010). Speeding and the time-saving bias: How drivers' estimations of time saved in higher speed affects their choice of speed. Accident Analysis & Prevention, 42(6), 1978-1982. doi.org
- Svenson, O. (1970). A functional measurement approach to intuitive estimation as exemplified by estimated time savings. Journal of Experimental Psychology, 86(2), 204-210. doi.org
- Fuller, R., Gormley, M., Stradling, S., Broughton, P., Kinnear, N., O'Dolan, C., & Hannigan, B. (2009). Impact of speed change on estimated journey time: Failure of drivers to appreciate relevance of initial speed. Accident Analysis & Prevention, 41(1), 10-14. doi.org
- Svenson, O. (2009). Driving speed changes and subjective estimates of time savings, accident risks and braking. Applied Cognitive Psychology, 23(4), 543-560. doi.org
- Peer, E., & Solomon, L. (2012). Professionally biased: Misestimations of driving speed, journey time and time-savings among taxi and car drivers. Judgment and Decision Making, 7(2), 165-172. doi.org
- Eriksson, G., Svenson, O., & Eriksson, L. (2013). The time-saving bias: Judgements, cognition and perception. Judgment and Decision Making, 8(4), 492-497. doi.org
- Peer, E., & Gamliel, E. (2013). Pace yourself: Improving time-saving judgments when increasing activity speed. Judgment and Decision Making, 8(2), 106-115. doi.org
- Svenson, O., Gonzalez, N., & Eriksson, G. (2014). Modeling and debiasing resource saving judgments. Judgment and Decision Making, 9(5), 465-478. doi.org
- de Langhe, B., & Puntoni, S. (2016). Productivity metrics and consumers' misunderstanding of time savings. Journal of Marketing Research, 53(3), 396-406. doi.org
Cite this source
Psychology.com. (2026, October 24). Time-Saving Bias. Psychology.com. https://psychology.com/biases/time-saving-bias
