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#1609
David (Visitor)
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product technology innovation Global Warming  
The number 1 rule of statistics is that correlation does not prove causality.Just because two data series are highly correlated does not prove that one series caused the other. Much of the case for human causes for global warming relate to the statistical correlation that has been occuring between industrialization, rising carbon dioxide content in the atmosphere and rising global temperatures particularly from the 1980s through about 2005. The statistical correlation between these series led to theories that the rise in carbon dioxide was causing the rise in global air temperature.
 
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product technology innovation Global Warming  
causality.Just because two data series are highly correlated does not prove that one series caused the other. Much of the case for human causes for global warming relate to the statistical correlation that has been occuring between industrialization, rising carbon dioxide content in the atmosphere and rising global temperatures particularly from the 1980s through about 2005. The statistical correlation between these series led to theories that the rise in carbon dioxide was causing the rise in global air temperature.
 
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product technology innovation Global Warming  
The number 1 rule of statistics is that correlation does not prove causality.Just because two data series are highly correlated does not prove that one series caused the other. Much of the case for human causes for global warming relate to the statistical correlation that has been occuring between industrialization, rising carbon dioxide content in the atmosphere and rising global temperatures particularly from the 1980s through about 2005. The statistical correlation between these series led to theories that the rise in carbon dioxide was causing the rise in global air temperature.
 
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#1612
David (Visitor)
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product technology innovation Global Warming  
The number 1 rule of statistics is that correlation does not prove causality.Just because two data series are highly correlated does not prove that one series caused the other. Much of the case for human causes for global warming relate to the statistical correlation that has been occuring between industrialization, rising carbon dioxide content in the atmosphere and rising global temperatures particularly from the 1980s through about 2005. The statistical correlation between these series led to theories that the rise in carbon dioxide was causing the rise in global air temperature.
 
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#1613
LlamaDali (Visitor)
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product technology innovation Global Warming  
The number 1 rule of statistics is that correlation does not prove causality.Just because two data series are highly correlated does not prove that one series caused the other. Much of the case for human causes for global warming relate to the statistical correlation that has been occuring between industrialization, rising carbon dioxide content in the atmosphere and rising global temperatures particularly from the 1980s through about 2005. The statistical correlation between these series led to theories that the rise in carbon dioxide was causing the rise in global air temperature.
 
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LlamaDali (Visitor)
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product technology innovation Global Warming  
The number 1 rule of statistics is that correlation does not prove causality.Just because two data series are highly correlated does not prove that one series caused the other. Much of the case for human causes for global warming relate to the statistical correlation that has been occuring between industrialization, rising carbon dioxide content in the atmosphere and rising global temperatures particularly from the 1980s through about 2005. The statistical correlation between these series led to theories that the rise in carbon dioxide was causing the rise in global air temperature.
 
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