Simon joined road.cc as news editor in 2009 and is now the site’s community editor, acting as a link between the team producing the content and our readers. A law and languages graduate, published translator and former retail analyst, he has reported on issues as diverse as cycling-related court cases, anti-doping investigations, the latest developments in the bike industry and the sport’s biggest races. Now back in London full-time after 15 years living in Oxford and Cambridge, he loves cycling along the Thames but misses having his former riding buddy, Elodie the miniature schnauzer, in the basket in front of him.
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Neither did yours, just the graphs that you presented
You're right, apologies, there was no clue in what I presented as in your world 1993 could quite possibly have come after the years 2005 or 2010...
alansmurphy wrote:
Rich CB here's some data for you:
2005: 25% of men and 23% of women smoked
2010: 21% of men and 20% of women smoked
2005: 77.9 people per hundred thousand had an incidence of lung cancer
2010: 79.4 people per hundred thousand had an incidence of lung cancer
Hypothesis:
Quitting smoking causes cancer.
Where's the 'start with ideology and scratch around Google for shitty data' bit?
You don't test your hypothesis by stretching data that was compiled to do something different.
Your behaviour in this thread and others bears zero relationship to that diagram. Do you understand that? It isn't the process or that diagram that has the issue, it's you thinking that attempting to bend Google to fit your ideology is anything approaching scientific - that's the fucked-up bit. You've spent a lot of time on this: you could have done your own research by now.
"I'm pretty sure I've never debated Insurance T&C's with anyone."
Here's your warbling on insurance from all of 5 months ago: http://road.cc/content/news/226380-cycling-abroad-and-relying-nationwide...
You had a bang on the head or something?
No mention of the date in your hypothesis.
You've got a correlation and a hypothesis.
You haven't tested your hypothesis at all.
The test that I did disproved it so you've now altered your hypothesis to be date specific.
You still haven't tested your new date specific hypothesis.
Look at the diagram I provided.
Observation: There is a correlation in the UK between increased helmet wearing and decreased cycling fatalities.
Question: Could cycling helmets have been responsible for a fall in cycling fatalities? How would they do this?
Hypothesis: Cycle Helmets reduce deaths (from head injuries).
Testable predictions:
1: Overall injury rate will not fall when helmet use increases as helmets do not prevent accidents.
2: Head injury rates will fall as helmet use increases.
3: Deaths from head injuries will fall.
Data Gathered
Prediction 1: Proved correct
Prediction 2: Proved correct in adults.
Prediction 3: No data available to prove or disprove.
So as you can see I have actually followed the method/process.
.
one-does-not-simply-fail-to-reject-the-null-hypothesis.jpg
I had a debate about insurance with someone on here. Don't know who.
When they found out some of my work was for insurance companies they suddenly stopped arguing.
That's just brillant!!
I'm going to use your example whenever I have to explain statistics to anyone.
You are aware that you can do free online statistics courses?
https://www.coursera.org/courses?languages=en&query=statistics
https://www.khanacademy.org/math/statistics-probability
(Yes learning about probability is relevant.)
It's probably worth you doing one.
That way then you can understand why other posters are pulling your posts apart.
_
p-value-statistics-meme.jpg
Good old deflection.
Always there when you haven't got an argument to make.
Is denial and avoidance worse?
Denial as in "I never debated insurance Ts&Cs" 5 months after you did exactly that?
Avoidance as in ignoring the proof (you might want to Google-Fu the shit out of that word -
it's PROOF) that, actually, you did debate exactly that on this very site 5 months ago.
I think they're worse. Or evidence of insanity.
I was trying to be polite instead of pointing out like the other posters none of the data you have used supports your theories, and your statistical analysis of the data to draw your conclusions is terrible and is related to no modern scientific method taught at GCSE, A level, undergraduate degree level and post graduate degree level at Russell group universities in England and Wales.
Added to that some insurance companies do both basic and refresher courses in statistics for all workers on-site just to avoid people coming out with rubbish in front of customers.
I forgot a couple of posts that occurred 5 months ago.
I think it's far more worrying that you remembered them to be honest.
So point out the actual flaws in my posts.
I'll save you some time.
At no point have I said that correlation proves causation.
Off you go.
Slightly more than just a couple of posts: it's the same sort of nonsense as exhibited on here and other threads.
So you've either got a dismal memory or are just full of shit.
off the fucking scale
bth_bullshit-meter-011.gif
I've just got better things going on in my life to distract me from silly disagreements on road.cc.
Nice that you remembered it though.
Yeah, your posts suggest a well-balanced life.
But I do also copy all your posts into a date-sorted file. So when I read about someone in a helmet and graph-covered Tron suit going postal while raging inaccurately about evidence and hypotheses, I can hand it over to plod. You know, to do my bit.
It's good that you have something to keep you occupied I suppose.
Meanwhile in a civilised society, one that Rich_cb would be having graph(ic) nightmares over https://vimeo.com/246432864
It seems pointless me trying to explain why and how you're wrong, as so many others as well as myself have tried to do in the course of this thread.
If you do not possess the intelligence needed to take on board feedback and adapt with it then so be it.
The next step in the scientific method would be to publish your findings. Why don't you try those reputed journals that you admire and see how many of them are willing to publish your paper.
Questions:
How many journals would accept Rich_CB's research methods, analysis and findings?
What will Rich_CB do when the paper is rejected by all?
Hypothesis:
Rich_CB will not have his work taken seriously but that will not change his outlook.
Testable predictions:
Rich_CB's 'study' will not be accepted by any journal (respected or not)
Rich_CB will not accept this as any fault of his data or analysis.
It's now over to you Rich_CB to gather the data, good luck! I look forward to seeing the results.
I suggest you get on with the better things in your life then, instead of continuing this disagreement on road.cc
Good old deflection.
Always there when you don't have an actual argument.
Rich_cb [488 posts] 37 min ago 0 likes
ClubSmed wrote:
It seems pointless me trying to explain why and how you're wrong, as so many others as well as myself have tried to do in the course of this thread.
If you do not possess the intelligence needed to take on board feedback and adapt with it then so be it.
The next step in the scientific method would be to publish your findings. Why don't you try those reputed journals that you admire and see how many of them are willing to publish your paper.
Questions:
How many journals would accept Rich_CB's research methods, analysis and findings?
What will Rich_CB do when the paper is rejected by all?
Hypothesis:
Rich_CB will not have his work taken seriously but that will not change his outlook.
Testable predictions:
Rich_CB's 'study' will not be accepted by any journal (respected or not)
Rich_CB will not accept this as any fault of his data or analysis.
It's now over to you Rich_CB to gather the data, good luck! I look forward to seeing the results.
Good old deflection.
Always there when you don't have an actual argument.
No argument??!!
What's with the 297 posts then? Just for a laugh?
I don't know which thread is funnier, this or the Raceview Cycles one.
Well, that was a stupid goal to give away...
#WBAMUN
300. THIS IS SPARTA!!!!!
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