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The math behind Co2 Emissions effect on the planet with Open Ai and Why we need to act Fast!!!

So I am an OpenAI user and we had a hashtag#climateChange conversation because after learning that criteria for hashtag#NationalClimateInvestmentFund does not blatantly fund technologies that evaluate goods and services at the design and procurement stage. To offset climate change…I got curious…. It made some great points but then went on to tell me this. 



“integrating climate considerations into design and procurement is critical for long-term climate resilience and sustainability. Such evaluations are usually supported by other programs that specifically



target R&D, sustainable manufacturing, and innovative design approaches that complement deployment-focused funding like NCIF.” 



But why wouldn’t something like that be still be apart of the hashtag#NationalClimateInvestmentFund US Environmental Protection Agency (EPA) ????



So let’s create a quick formula.. and here are some factors I am taking into equation on why it is important. 


Human population. 8.2 billion people. 



Carbon emissions growth rate: 2.9 parts per million (ppm) per year as of 2024, which is one of the highest rates recorded in recent history



How much carbon emissions do you need to increase the temperature by 1 degree: scientists estimate that approximately 500 gigatons of carbon dioxide (CO₂) emissions would be needed to increase the global average temperature by approximately 1°C (1.8°F).



Current emissions per year 38 billion metric tons 


with a growth rate of 2.9 ppm… is 190 billion metric tons in 5 years. That would make you think we have time?… but the 2.9ppm increases because of human population, technological innovations, industrial and energy demands. 



The exponential growth factor over the pass 5 year is 2.46% per year. 



So here is a breakdown of how we can easily emit 1291 gigaton of CO2 that could cause catastrophic disaster. 


To calculate the total emissions of 1,291 gigatons (billion metric tons) over 25 years, I used the following variables and approach:



Variables Used:



 1. Initial Emissions (E₀): The starting annual emissions of carbon dioxide:


 • E₀ = 38 billion metric tons of CO₂ per year.


 2. Annual Growth Rate (r): The rate at which emissions increase each year due to compounding:


 • r = 2.46\% per year, expressed as a decimal r = 0.0246 .


 3. Time Period (t): The total number of years over which the emissions are calculated:


 • t = 25 years.



Calculation Approach:



 1. Compounding Growth Calculation:


 • The emissions for each year are calculated using the compound growth formula:



E_t = E₀ \times (1 + r)^t



 • This formula gives the projected emissions at the end of each year, considering the compound growth rate.


 2. Cumulative Emissions Over Time:


 • To find the total emissions over the 25 years, I summed the emissions for each year:



\text{Total Emissions} = \sum_{i=0}^{t-1} E₀ \times (1 + r)^i



 • This approach accounts for the increase in emissions year by year due to the compounding effect.



Attached is my hashtag#openAi conversation.

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