Belz...
Fiend God
the "OMG! The world is going to burn up!" crowd
Could you name members of this crowd ?
the "OMG! The world is going to burn up!" crowd
The tool on the NCDC site doesn't calculate the statistical signficance, so it's impossible to tell whether the trends it shows are meaningful are not. Once again: read the quoted explanation from the SkS site.
http://www.ncdc.noaa.gov/cag/
Funny thing
if I set the start year and end year and then the display base period and the trend period all to 1895 and 2013 and the time scale to one year, every month plotted for Illinois shows an increasing trend.
r-j said:And of course, of all things, both Divisions show winter is colder using a century of data. Kentucky Div 4 is -1.7 century trend. Tenn Div 1 is -1.4![]()
And of course, of all things, both Divisions show winter is colder using a century of data. Kentucky Div 4 is -1.7 century trend. Tenn Div 1 is -1.4![]()
Your objection is based on "Whenever we calculate a trend from a set of data, the value we obtain is an estimate. It is not a single value, but a range of possible values".Whenever we calculate a trend from a set of data, the value we obtain is an estimate. It is not a single value, but a range of possible values, some of which are more likely than others.
For a regional dataset, is there anything you accept as valid in regards to determining if the average temperatures of a given time period, a year, season, month, is there anything you won't dismiss as meaningless?
The tool on the NCDC site doesn't calculate the statistical signficance, so it's impossible to tell whether the trends it shows are meaningful are not.
Could you name members of this crowd ?
I am talking about what has happened. Not predicting the future.For an individual event like a season, month, day, year what a statistical analysis will give you is how likely that event is to occur.
No I did not. I simply reported the figure the tool gave when I entered the appropriate parameters. Here's the entire post:You said Illinois was having warmer winters based on a 30 year trend.
Illinois winter (Dec-Feb) trend over 30 years (1984-2013): warming of 0.6F per decade
You are wrong. Read the quoted explanation again. Both tools use exactly the same kind of data. It's the trend that's estimated, with an uncertainty that needs to be calculated before its meaning can be assessed.Let me make is simple for you. It's because a measurement of the daily temperature, the monthly average, none of that is estimated, none of it is uncertain. It's averages of real data, but it's all based on known values.
There is no uncertainty involved. (unless you are one of them people who doesn't trust the NCDC)
You said Illinois was having warmer winters based on a 30 year trend. I said you were wrong. You even explained how to use the software, thinking I was too dumb to do it right. Even DD chimed in about it.
Nobody, including you, said that it was meaningless. I posted hundred year trends, showing cooling, and you said they were meaningless, or that you had to start in 1895 for it to be meaningful. Something. Then concerning quarky
Pure chance those two states would happen to show cooling winters,
Illinois winter (Dec-Feb) trend over 30 years (1984-2013): warming of 0.6F per decade
You're the one that's been making assertions about seasons getting warmer/colder in particular states/areas based on these trend lines. I know better than to do so.
I am talking about what has happened. Not predicting the future.
Has the claim moved on from "colder winters in general" "to colder winters in specific areas"?
This is what you regard as "misbehaviour" revealed in the hacked CRU emails? That's it? A suggestion, made in a moment of anger and exasperation, that emails should be deleted - a suggestion which was never acted on? UEA's unpreparedness for a flood of vexatious FoI requests?"In a statement, the deputy information commissioner Graham Smith said emails between scientists at the university's Climatic Research Unit (CRU) that were hacked and placed on the internet in November revealed that FOI requests were 'not dealt with as they should have been under the legislation'. Some of the hacked emails reveal scientists encouraging their colleagues to delete emails, apparently to prevent them from being revealed to people making FOI requests. Such a breach of the act could carry an unlimited fine, but Smith said no action could be taken against the university because the specific request they had looked at happened in May 2008, well outside the six-month limit for such prosecutions under the act."
You say this, and yet nobody is dismissing science. By doing so you try leave the impression that somebody must be, but it's a lie.not that it matters, but years ago I also brought up the cold and snowy winters, as well as why it was of interest, in regards to global warming. Dismissing science, facts, data and the like, because you think it it is some kind of threat, that isn't science. Nor is the response "we dealt with that already".
I doubt you will ever explain, in clear terms, what you consider evidence.
In your peculiar vocabulary "all of the data" means "data for parts of Kentucky". If you want to communicate effectively you need to speak in the language of the majority, not your own version of English.If you do, then you have to look at all of it, and can't simply pick that which supports your belief.
And on the prospects for nuclear fusion - the IET (former IEE) magazine had an article on this recently
The thrust of the article is that achieving break-even is the easy part - once that happens, the real engineering challenges will have to be solved...
I dont really understand this graph:
[qimg]http://www.internationalskeptics.com/forums/picture.php?albumid=1038&pictureid=7593[/qimg]
The end of the blue line goes past the red line and ends on the gray line. Isnt it supposed to be on the red lines? Like this:
[qimg]http://www.internationalskeptics.com/forums/picture.php?albumid=1044&pictureid=7625[/qimg]
Trends in geographically close locations are going to be heavily correlated, so it's not only reasonable but highly likely you will see similar patterns in Kentucky and Tennessee
If he's even said what he thinks the implications are it's been lost in his fumbling presentation and incessant whining. I sincerely hope that anyone following this can draw the right conclusions; if not, that has to be our failure. Zeph, for one, gets it.From the beginning he’s tried to use regional and/or short term data to make a generalized claim. This error has been pointed out from the start and he has yet to acknowledge that you can’t make general conclusions from the data he is offering.
It's very simple. The trend line is linear regression showing that winter temperatures in Kentucky went down slightly between 1913 and 2013 - therefore Global Warming is a hoax.I dont really understand this graph:
No, that's a different kind of trend line. But more importantly it shows a temperature increase. That's the real reason why it must be wrong. Any trend line which shows an increase is simply a localized anomaly.The end of the blue line goes past the red line and ends on the gray line. Isnt it supposed to be on the red lines? Like this:
It's very simple. The trend line is linear regression showing that winter temperatures in Kentucky went down slightly between 1913 and 2013 - therefore Global Warming is a hoax.
Curiously however, if you move the start and endpoints by a few years, the trend line may go flat or even slope upwards! This proves that Global Warming is not caused by man.
No, that's a different kind of trend line. But more importantly it shows a temperature increase. That's the real reason why it must be wrong. Any trend line which shows an increase is simply a localized anomaly.