empirical science question
Posted: Tue Oct 27, 2015 9:59 am
Hi - found your site by chance - searched for 'ask an expert' and your site came up near the top the list - and it looks really good.
I have a question about science itself - while doing some reading on climate change I have come across a claim by some skeptics of human caused climate change that there is no empirical evidence to support climate change, and since - they claim - Science is "decided by Empirical evidence only", then the climate science is not scientifically correct, logically speaking.
I'm doing my own assessment of the studies and evidence for and against - I think there is human induced global warming, but I want to see for myself so I'm looking into it.
But the statement that "Science is decided by empirical evidence only" is what I would like some help with, if possible.
I have found that this is not completely true as formal sciences like mathematics or information science do not rely on empirical evidence and I've learned a bit about the distinction between a priori knowledge or 'before the fact' knowledge (as in maths) and post priori knowledge (as in empirical science areas - natural and social), but there seems to be some issues here:
1) if global warming hasn't really happened yet - say its only just starting and still within a margin for error of observation - how can there be strong empirical evidence?
2) climate science relies a lot on computer modelling results - opponents of climate science are critical of the validity of this modelling - but is computer modelling sort of halfway between a priori and post priori types of knowledge? or is it a weaker type of a priori knowledge... I'm not too sure on this area.
Each of these points seems to mean it's not logically right to refute climate science for lack of empirical evidence (putting aside whether there is or isn't strong empirical evidence for the moment).
Is the issue somehow related to time? a formal science has theories you can test by experiment- but the passing of time does not change the outcome. A natural science - like geology - you can't experiment but you can look back in time to find evidence to test a hypothesis - with social science you can do experiments but not on the future - you might do experiments following a group of people over time and see what that says...
In climate science it seems as though you can't do experiments, you can't look back in time for evidence and you can't develop rules/theories that wont change over time as the system is too complex and is going to change over time - and you have to rely on computer simulations which are approximations.
Is this a reason that some people - a minority, but quite vocal - are skeptical about climate change?
That might be too big or vague a question... maybe it's a long winded way of saying "it's hard to predict the future"... and humans as a whole have never had to do this before... so this is new territory... anyway I hope you can give me some pointers here
thanks, Chookie
I have a question about science itself - while doing some reading on climate change I have come across a claim by some skeptics of human caused climate change that there is no empirical evidence to support climate change, and since - they claim - Science is "decided by Empirical evidence only", then the climate science is not scientifically correct, logically speaking.
I'm doing my own assessment of the studies and evidence for and against - I think there is human induced global warming, but I want to see for myself so I'm looking into it.
But the statement that "Science is decided by empirical evidence only" is what I would like some help with, if possible.
I have found that this is not completely true as formal sciences like mathematics or information science do not rely on empirical evidence and I've learned a bit about the distinction between a priori knowledge or 'before the fact' knowledge (as in maths) and post priori knowledge (as in empirical science areas - natural and social), but there seems to be some issues here:
1) if global warming hasn't really happened yet - say its only just starting and still within a margin for error of observation - how can there be strong empirical evidence?
2) climate science relies a lot on computer modelling results - opponents of climate science are critical of the validity of this modelling - but is computer modelling sort of halfway between a priori and post priori types of knowledge? or is it a weaker type of a priori knowledge... I'm not too sure on this area.
Each of these points seems to mean it's not logically right to refute climate science for lack of empirical evidence (putting aside whether there is or isn't strong empirical evidence for the moment).
Is the issue somehow related to time? a formal science has theories you can test by experiment- but the passing of time does not change the outcome. A natural science - like geology - you can't experiment but you can look back in time to find evidence to test a hypothesis - with social science you can do experiments but not on the future - you might do experiments following a group of people over time and see what that says...
In climate science it seems as though you can't do experiments, you can't look back in time for evidence and you can't develop rules/theories that wont change over time as the system is too complex and is going to change over time - and you have to rely on computer simulations which are approximations.
Is this a reason that some people - a minority, but quite vocal - are skeptical about climate change?
That might be too big or vague a question... maybe it's a long winded way of saying "it's hard to predict the future"... and humans as a whole have never had to do this before... so this is new territory... anyway I hope you can give me some pointers here
thanks, Chookie