Planethours is a non-profit project run by a diversified group of people which aims to
provide an easy and accessible way to assess the impact of individuals on climate change to raise
The need for such tool, a simplified "sustainability assistant", arises from one simple fact: scientific documentation about climate change is most of the time cryptic, verbose and difficult to digest by the majority of people. Furthermore, understanding and quantifying the problem is not enough: it's paramount to establish a relation between overall numbers and single individual actions.
In order to face the climate change, a bottom-up behavioural revolution is needed as much as top-down regulations changes, and both paths can only be pursued by embracing a common, shared, raised awareness.
The digested results provided by Planethours, which combines both direct and indirect attributions of Co2-equivalent emissions, are far from being perfect: we are constantly reviewing and adjusting the machinery behind the scene in order to provide to most accurate estimation possible.
If you have any feedback or suggestion, feel free to contact us.
Planethours aims to provide an effective and comprehensive climate profiler which operates
with a minimal set of information in order to maximize users reach. That's to say, results accuracy is
subordinate to the ease of usage: it is simply not necessary to provide CO2-equivalent estimations that are
precise to the Kilogram; instead, it is crucial to empower every single person to understand more about their
impact on the climate change.
The underlying principle followed by Planethours and its data model is very simple: the overall CO2-equivalent emissions (excluding the one generated spontaneously by natural events) can be attributed back to single human individuals. This mapping process takes into account direct, indirect and redistributed attributions of CO2-equivalent amounts from the various sectors of our society.
If you are interested in how this mapping is actually happening, check out the Planethours Data Model.