Twenty-three minutes a day is what it costs when you start#
On a day with no room in it, the move is to make each entry cheaper rather than to make the log shorter: capture something for every eating occasion, accept a coarse number, and do the resolving later or not at all. The reason sits in the one study that measured the clock instead of the outcome. Across 142 adults in a 24-week online behavioural weight-control programme, dietary self-monitoring took an average of 23.2 minutes a day in month one and 14.6 minutes by month six — and the participants who lost at least 5% of their body weight were not the ones sitting there longer. They logged in more often: 2.4 times a day against 1.6, and 2.7 against 1.7 among those who lost at least 10%1.
So the price of tracking is real and it is not small, but it is paid in many small instalments — and the instalments, not the total, are what tracked results. That is useful on a compressed day, because a day with no free twenty minutes usually still contains four free thirty-second windows. This piece assumes you already know the counting method and have simply run out of day to spend on it. The question is what to cut.
"Busy" is a feeling, and it is the feeling that shows up in the food#
Two good datasets appear to disagree about whether being busy changes what you eat, and the thing that separates them is the instrument.
The first measured the feeling. Among 497 Norwegian parents of two-year-olds scored on a seven-item time-pressure index and split into thirds, those reporting medium time scarcity had 3.68 times the odds (95% CI 2.32 to 5.84) of high consumption of ultra-processed dinner products against the low-scarcity group, and 2.60 times the odds (1.62 to 4.18) for fast foods; in the high-scarcity third the same odds were 3.10 (1.80 to 5.35) and 1.90 (1.08 to 3.32)3.
The second measured the clock. Among 2,154 UK adults in paid employment in the National Diet and Nutrition Survey 2008–2014, working a mean 36.1 hours a week, hours worked showed no association with overall diet quality once sociodemographics were adjusted for — and no association with how often people ate out or ordered takeaways. What did rise with hours were red meat, processed meat and alcohol intakes4.
These are not contradictory results; they are a specification. Objective hours are a poor proxy for the state that changes eating, and perceived time pressure is a better one — which fits ordinary experience, since two people can work the same 45-hour week and only one of them is drowning in it. Both studies carry limits worth keeping in view: the Norwegian sample was cross-sectional, 90% female, drawn from two counties at a 16% response rate, and its odds were higher in the medium third than the high one, which is not the tidy dose-response a causal story would predict. The UK analysis is a survey too, and a null on eating out is a null, not a demonstration of no effect.
For someone with a log to keep, the practical reading is an inversion most tracking advice misses. The food a time-poor day pushes you toward — the packaged convenience dinner, the chain sandwich — is among the best-documented food in your diet. A ready meal carries a printed label. A fast-food item has a published number. The day that feels impossible to track is disproportionately made of the two categories that require no portion judgement at all.
The hardest day to log is often built from the easiest food to log. A ready meal declares itself; the stew you would have cooked never does.
A deliberately cheaper method costs about a point and a half#
If a busy stretch tempts you to switch to something lighter, there is a trial that ran exactly that comparison. Seventy-two adults with overweight or obesity, all parents of children aged 2 to 12, were randomised inside a six-month smartphone-delivered programme either to standard calorie tracking or to a simplified version in which they tracked only high-calorie "red" foods against a daily allowance2.
At six months the standard arm was down 5.7% of body weight (95% CI −8.3 to −3.2) and the simplified arm 4.0% (−5.7 to −2.3), a between-group difference that did not reach significance (p=0.25). Reported calorie reduction was statistically indistinguishable — 247 kcal/day against 296. Two details underneath the headline matter more than the headline does.
The first is that making the task cheaper did not make people do it more. Tracking days over six months came out at a median of 97 for standard and 89 for simplified (p=0.91) — the simplification bought no additional adherence at all, which is the entire theory of low-burden tracking failing its own test in one line. The second is that the easier arm was the one people were less inclined to keep: rated likelihood of continuing to track was 5.7 against 4.3 (p=0.025). A method that asks less of you is not automatically the one you stay with.
Read the whole thing at its actual strength. Seventy-two people is a pilot, and "no significant difference" here means the study could not resolve a 1.7-point gap, not that the gap is zero — the point estimate still favours full tracking. The senior author discloses scientific advisory board membership with two commercial weight-management companies, which is worth stating even though the result cuts against the simpler consumer product rather than for it. What survives is a modest, useful conclusion: a coarser log is a defensible temporary setting and a poor permanent one.
Three days a week is where the floor sits#
The other thing worth knowing before a bad fortnight is how much of the log you can actually lose. In 74 adults followed through a nine-month maintenance period after a three-month weight-loss programme, weekly self-monitoring adherence was tested against every plausible threshold5.
| Weekly logging threshold | Nine-month weight outcome |
|---|---|
| ≥1–2 days a week | significant weight gain |
| ≥3–4 days a week | no change |
| ≥5–6 days a week | weight loss |
Data: Arroyo et al., 2024; n=74, maintenance phase, self-reported adherence.
Three days a week is the point where the line goes flat and five or six is where it turns down. Priced at Harvey's practised figure of about fifteen minutes a day, three days is roughly three-quarters of an hour a week — my arithmetic on their two numbers, not a finding either study published. That is a budget most genuinely busy weeks can find, and it reframes the choice during a hard stretch: you are not deciding between perfect tracking and none, you are deciding which three days.
Two cautions on that table. This was maintenance rather than active loss, adherence was self-reported weekly rather than logged by a server, and thresholds identified in 74 people are correlational — people who keep logging through a hard month may differ from those who don't in ways the threshold is quietly taking credit for. The ordering is what to act on, not the exact cut point.
What a sixty-second log actually holds#
If the day gives you one minute total, spend it in this order. The ranking is mine; each rung rests on evidence covered above or linked below.
- Anything that arrived with a number on it. The ready meal, the packaged sandwich, the chain coffee. These cost about five seconds each and carry zero estimation error — and on a busy day they are unusually likely to be most of what you ate.
- The one-off you will never see again. A repeated breakfast can be a saved entry you reuse in two taps, so it does not need the minute; the unfamiliar lunch does, because there is nothing to copy it from.
- The drinks, before the plates. Drinks are the one category where the information is already exact and the entry simply never gets created — the full accounting is in forgotten calories, and the fix is a rule rather than a skill.
- A placeholder for everything else. "Dinner, big, chicken and rice, unknown oil" is a record. A blank is a claim that you ate nothing, and the arithmetic of what that does to a week is unkind — how to handle untracked days works it through.
Notice that nothing on that list is resolving an estimate. Naming and sizing can wait until the train, the queue or Sunday evening; only the noticing is time-locked, which is why a two-second spoken note or a photograph does more for a hectic week than a better database does. Splitting capture from resolution is also the mechanism by which the habit survives a disrupted context at all, which is its own subject, and the coarse-versus-detailed entry question has a guide of its own.
The week you are worried about is not the week the log breaks. Logs break in the week after — when three blank days make the record feel worthless and the record stops being kept. A rough entry is a vote to keep the file open, and that is most of what it is for.
FAQ#
How do I track calories on a day with no time to cook?#
Log the thing that came out of the packet, because on that kind of day it is likely to be most of what you ate and it has a printed number on it. Time-pressured eating shifts toward convenience dinners and fast food3 — categories that need no portion judgement. Enter those exactly, put a rough placeholder against anything homemade, and resolve later.
Is a simpler tracking method better when life gets hectic?#
As a temporary setting, yes; as a permanent switch, the evidence is unenthusiastic. Randomised against standard calorie tracking, a simplified method that logged only high-calorie foods produced 4.0% versus 5.7% weight loss over six months, with no gain in adherence and a lower stated intention to keep tracking2. Cheapness did not buy consistency in that trial, which is the usual argument for it.
Should I stop tracking during a busy stretch and restart after?#
Better to drop to a floor than to stop. Across a nine-month maintenance period, thresholds of one to two logging days a week were associated with significant weight gain, three to four with no change, and five to six with continued loss5. Pick three days you can defend and let the rest of the week go, rather than closing the log and negotiating a restart later.
Sources#
- Harvey J, Krukowski R, Priest J, West D. Log Often, Lose More: Electronic Dietary Self-Monitoring for Weight Loss. Obesity (Silver Spring). 2019;27(3):380-384.
- Nezami BT, Hurley L, Power J, Valle CG, Tate DF. A pilot randomized trial of simplified versus standard calorie dietary self-monitoring in a mobile weight loss intervention. Obesity (Silver Spring). 2022;30(3):628-638.
- Djupegot IL, Nenseth CB, Bere E, et al. The association between time scarcity, sociodemographic correlates and consumption of ultra-processed foods among parents in Norway: a cross-sectional study. BMC Public Health. 2017;17:447.
- Sam L, Craig T, Horgan GW, Macdiarmid JI. Association between hours worked in paid employment and diet quality, frequency of eating out and consuming takeaways in the UK. Public Health Nutr. 2019;22(18):3368-3376.
- Arroyo KM, Carpenter CA, Krukowski RA, Ross KM. Identification of minimum thresholds for dietary self-monitoring to promote weight-loss maintenance. Obesity (Silver Spring). 2024;32(4):655-659.
- Jabs J, Devine CM. Time scarcity and food choices: an overview. Appetite. 2006;47(2):196-204.


