They mean that if air pollution was not there throughout our lifetimes up until now, we would have 10M fewer deaths per year. Longer lives translates into fewer deaths per year.
When diseases like COPD and lung cancer are extremely prevalent, we may not notice the deaths as caused by air pollution, but they are. Everybody should get rid of their gas stoves, but we instead have full on sale pr campaigns for them.
Are you sure about that?
If there are 9 billion people (just to keep the numbers round), and they all live to 50, then every year 9 billion / 50 = 180 million people die (and the same number are born). But if they all live to 150, then every year 9 billion / 150 = 60 million people die (and the same number are born).
On the other hand, if the birth rate remains steady then the percentage of people alive that die in a given year decreases, which is maybe the more relevant metric as it seems like there’s less death around.
That's not "just keeping the numbers round", that's putting a huge assumption on a complex system (births = deaths, no change in overall population over time).
What you seem to be quibbling with is the assumption that the population was steady. That's an assumption that could be argued with, but it's not the "keeping the numbers round" part.
Of course that's not true. Everyone dies, regardless of individual lifespans.
Huge +1 to this btw. If you are in the position of owning a gas stove, make sure to always run the range hood vent whenever using the stove.
Understand that I’m in favor of people living long and healthy lives, but even if everyone maxed out at 120 years of lifespan the deaths per year will be equal to the number of people reaching 120 years old, and that is determined by how many people were born 120 years before.
This is precisely what is meant by fewer deaths per year, it's now zero instead of the normal rate.
Similarly, if everybody's life is shortened by 1 year by something, there is an increase in death rate followed by a return.
I'm not sure why this concept elicited so many contrary comments. You already understand the concept, clearly, but I'm not 100% clear on what you are objecting to with your comment, or what meaning you are trying to communicate with this:
> but even if everyone maxed out at 120 years of lifespan the deaths per year will be equal to the number of people reaching 120 years old, and that is determined by how many people were born 120 years before.
Everybody still dies, but we only lived to 120 seems like a good outcome. But right. Effort that you said you are in favor of people living to 120, so what is the purpose of the rest of the paragraph?
Everybody still dies, but we lived to 120 seems like a good outcome. But even you said you are in favor of people living to 120, so what is the purpose of the rest of the paragraph?
https://www.who.int/data/gho/data/indicators/indicator-detai...
https://sci-hub.mksa.top/10.1016/S0140-6736(12)61766-8
That is where they draw a line from air pollution to risk, with lots of statistics to cancel out other factors. Its beyond my depth.
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This page was useful:
ttps://www.who.int/data/gho/data/indicators/indicator-details/GHO/ambient-air-pollution-attributable-dalys-(per-100-000-population) -> Metadata
> Burden of disease is calculated by first combining information on the increased (or relative) risk of a disease resulting from exposure, with information on how widespread the exposure is in the population (in this case, the annual mean concentration of particulate matter to which the population is exposed). This allows calculation of the 'population attributable fraction' (PAF), which is the fraction of disease seen in a given population that can be attributed to the exposure, in this case the annual mean concentration of particulate matter. Applying this fraction to the total burden of disease (e.g. cardiopulmonary disease expressed as deaths or DALYs), gives the total number of deaths or DALYs that results from ambient air pollution.
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And the overall methodology is something called DALYs - Disability Adjusted Life Years
https://www.who.int/data/gho/indicator-metadata-registry/imr...
https://www.who.int/healthinfo/statistics/GlobalDALYmethods_...
That second link was a good basic read on what DALY means - its deaths due to a cause, weighted by "lost years" (so if life expectancy is 92 and someone died at 30, that would be weighted higher than someone dying at 80 for the same cause) PLUS years of healthy life lost even if it does not result in death - which is sort of a weighting based on severity of disease, where like say a person living with a disease severity of 0.2 would mean each year counts as 4/5th a year of a healthy life.
What you want is some statistic about how much life was lost in absolute terms of years and how much quality of life was lost due to air quality related diseases.
Is the death rate 100%? Or is it .00365% (1 / (75 * 365))?
But an age-adjusted metric can give non-intuitive results. Thanos' snap, randomly killing 50% of everybody, would have had a 25% lives-lost-equivalent.
How you calculate death rate has real consequences in how you evaluate something like Covid.
I don’t pretend to understand fully, but these seem to be some sentences explaining their methodology:
> Ambient PM2·5 was the fifth-ranking mortality risk factor in 2015. Exposure to PM2·5 caused 4·2 million (95% uncertainty interval [UI] 3·7 million to 4·8 million) deaths and 103·1 million (90·8 million 115·1 million) disability-adjusted life-years (DALYs) in 2015, representing 7·6% of total global deaths and 4·2% of global DALYs, 59% of these in east and south Asia.
> Attributing deaths and disability-adjusted life-years (DALYs) to ambient air pollution requires spatially and temporally resolved estimates of population-weighted exposure, specification of a theoretical minimum risk exposure level (TMREL), estimation of relative risks across the exposure distribution, and estimates of the deaths and DALYs for diseases linked causally to air pollution. We combined estimates of exposure and relative risk to estimate the population-attributable fraction (PAF), the proportion of deaths and DALYs attributable to exposure above the TMREL. The numbers of deaths and DALYs for specific diseases were multiplied by the PAF to estimate the burden attributable to exposure. A more general description of the methods used to estimate the PAF and attributable burdens in GBD 2015 has been reported previously;3 here, we present details specific to air pollution.
While I don’t know enough about this methodology to defend this study, I would just point out that no matter what you consider to be a cause of death, no matter how “direct” you think that cause is, is still “merely” a death of someone who would have died later anyway. This mode of argument gets used all the time to minimize deaths of e.g. COVID-19 (“most of the deaths are old people with multiple comorbidities”), but this is a weak mode of argument precisely because it could apply just as well to literally any situation. We generally wouldn’t apply this mode of argument to minimize, for example, a serial killer at a nursing home.
Note: this is vastly overly simplified and there are other ways to do this and you need to do major and complex error calculations, but this will give you the highly abstracted view.
There are more tactful ways of saying this, but at the end of the day, it's functionally equivalent to pulling a number out of their hat.