Everyday work, explained
Why does doubling spending double estimated work?
Compare TWD 100, 200 and 400 eating-out examples to see how spending changes the estimate, and why price alone cannot tell us the actual work involved.
Compare three spending amounts
Keep the purchase country as Taiwan, the category as eating out, the date as 15 June 2025 and the model version unchanged. Change only the amount. TWD 100 gives an estimated total of about 13 minutes of work, TWD 200 about 26, and TWD 400 about 52. Displayed figures are rounded; the underlying estimates scale exactly with spending.
The model uses average data for this kind of purchase to estimate the work associated with each dollar spent. When everything else stays the same, each dollar uses the same calculation. Doubling the amount therefore doubles the estimate.
Does a meal that costs twice as much take twice the work?
Imagine two shops selling apparently similar meals for TWD 200 and TWD 400. Ingredients and service could explain the difference, but so could location, rent, branding or profit. Price alone cannot establish that the second shop used twice the working time.
The tool attributes twice the estimated work to the second purchase because both purchases use the same category averages. That does not mean workers spent twice as long making the more expensive meal. Estimating a particular meal’s actual work would require additional evidence about quantities, processes and the shop.
Why do the industry shares stay the same?
For the same country, product classification and model version, changing the amount scales every industry’s estimated hours equally, leaving shares unchanged. In this example, trade and food service still accounts for about 73%, and agriculture for about 11%. The shares stay the same because all three amounts use the same average data. This does not tell us that the meals have the same suppliers.
Taiwan’s coffee and eating-out choices currently share food-service product data. They produce the same estimate at the same date and amount. This does not establish that coffee and a meal are actually made in the same way. For other categories, also check whether the official category covers more products than the choice on screen suggests.
How can you make a useful comparison?
Start with your question. To explore which industries your spending is attributed to, compare industry shares across categories while keeping the purchase country, currency, date and model version the same. The current inputs and model cannot tell you which shop is more efficient or which product is better value.
Across countries, the same number may mean different currencies. Official product categories, source years and valuation detail also differ. Even after currency conversion, the results are not a ranking of equivalent-quality products or labour efficiency.
Does spending half as much actually halve the work?
Halving the amount halves the attributed work shown by the tool. That is the result of changing the amount entered. It does not mean the supply chain actually lost that much work, or tell us how employment would change.
A higher or lower result is not a moral score. The tool helps you notice the work behind everyday spending. You do not need to aim for a smaller footprint or keep an ongoing diary to gain a meaningful observation.