Happiness May Be Catching
chrb writes "The NY Times Magazine has an interesting article about research, based on the long-running Framingham Heart Study, modeling real world social networks. It seems that tendencies to be happy, not to smoke, and not to become obese are passed between nodes in a directed graph in a way that suggests such concepts are 'contagious.' Well-connected nodes in the graph (i.e., people with more friends) are more likely to be happier than less-connected nodes, even when the edges represent more distant friendships. Individuals quitting smoking, or becoming obese, influence not only their immediately connected friends but also friends of friends, with the effect sometimes skipping the intermediary node. The contagion effect is most noticeable when a tendency is passed from one person to another of the same sex — friends of the opposite sex, including spouses, are not as influential."
This is like that $8m study that found out men think differently than women.
but it's quite important to be able through research and testgroups to actually show that it's true. Not only on this subject but on almost all subjects. Most of us know this for a fact, but sometimes it's nice to know the reason why a certain feeling like happiness suddenly shows for no apparent reason more then that your friends are happy. I have a friend who just got out of a mental institution whom I have been worried about for quite some time, now that she is out in the real world and feels better I can honestly say that my days have improved a lot. Not having to worry and this has affected people around me because I'm a happier person again. Rant ends here..
Are you saying that if I have sex with my girlfriend's friend she'll have more sex with me? Seems like a fairly interesting notion.
What if I have sex with a bunch of my girlfriend's friends, will that make my girlfriend's whole social circle all want to have sex with me at the same time? 'Cause I could totally live with that.
Peer pressure isn't a new phenomenon. Groups mutually conform, as part of their group identity. Which can be mutually positive, and can be mutually destructive. Particularly drinking/drug use tends to increase in much the same way.
I've also run into the 'domino wave' of couples getting married as well - you seem to get several over the course of about a year, and the same with dropping sproglets.
"Well-connected nodes in the graph (i.e., people with more friends) are more likely to be happier than less-connected nodes"
/. must be saddest place on earth.
So
839*929
I told you. Stupidity is not only deadly but also contagious through any information transmission capable medium.
That's why the extra terrestrial visitors fly so fast and with their radio turned off.
They're playing chicken.
"Did you hear? GX-3-ThBlarg just did a low fly at merely three fongs per chronocycle! And he turned the wave receivers on for FIVE SECONDS!"
"No way! He'll end up idiotized, like his big brother. He must already be getting fatter and sad."
We well-informed teetotallers have known this for years about alcohol. Attitudes aren't made in a vacuum. If the drug/alcohol use of your kids, or even the use in society, bothers you, the first thing you should do is cut back (or better yet, cut out) yourself.
It was the French demographer Sully Ledermann who first suggested that alcohol consumption appears to follow a log-normal distribution - he didn't provide much evidence for it, but it turned out later he was completely right. In principle, a single variable is enough to describe the variation in total alcohol consumption across cultures: The average amount consumed. As the number of moderate drinkers increase, the number of heavy drinkers increases with about the square.
I'll quote (and translate) a piece of an article from the journal of the Norwegian physician's association:
"The stable traits and connections that have been found in this are are not natural laws, they could all in principle have been different. The suprising thing, however, is that the connections are as stable as they are.
These connections and regularities were at the outset pure statistical descriptions of reality, without any understanding of the social mechanisms that generated them. Through the 1980s there came some studies where one tried to explain how these regularities appear and are kept stable (9, 11, 13). The original hypotheses were one that drinking habits are explained by a series of factors that appear to combine multiplicatively, and another that alcohol users are strongly influenced by the drinking habits in their social networks.
Both hypotheses have good empirical support. The first one can, by the so-called central limit theorem in statistical theory, explain that the distribution becomes approximately log-normal. The second hypothesis can, from theories of interaction and spread in social networks, explain why there is such a strong connection between average consumption and the prevalence of high consumers."
Emphasis mine. Original article with references here: http://www.tidsskriftet.no/?seks_id=649944
xkcd is not in the sudoers file. This incident will be reported.
Essentially man is a social animal and has an inbuilt desire to fit in with the society that surrounds him/her. I'm not quite sure why an expensive and pointless scientific paper needed to be written about what is essentially a psychological and societal issue. Take DubLi, for example - it's growing because those who have used it are reporting positively to friends, collegues etc positively. It's not exactly rocket science, just my 2 cents worth.
I've always noted the point mentioned towards the end, discussing how a 'social hub' kind of person can leave their element (place of living, workplace) go somewhere and within a few short weeks become a social hub again, these people fascinate me (and probably most of us) often interesting, social, active and often fun.
I'm by far not one of them sadly - infact I'm the loner in the article likely to die fat and speaking to no one however doesn't change that I mostly agree with what the article says, despite being difficult to proove it of course.
I find it amazing that you call the study a waste because everybody already knew what the results would be, yet then immediately contradict the results of the study.
http://en.wikipedia.org/wiki/Quarantine_(Red_Dwarf) for the unenlightened. Mr Flibble agrees with me, don't you Mr Flibble?
This is not a sig
tendencies to be happy, not to smoke, and not to become obese are passed between nodes in a directed graph
Wouldn't it be more likely that these people that are happy, athletic, and don't smoke tend to make friends with other people like them, as opposed to this suggestion of viral happiness? I mean it seems pretty obvious that people who don't smoke are going to have a higher percentage of friends that don't smoke than those who do smoke. It's called a "lifestyle."
They also studied drinking: When it came to drinking, Christakis and Fowler found a different kind of gender effect. Framingham women were considerably more influential than Framingham men. A woman who began drinking heavily increased the heavy-drinking risk of those around her, whereas heavy-drinking men had less effect on other people. Why? In the age of frat-party binge drinking, you might imagine that hard-partying men are the most risky people to be around. But Fowler says he suspects women are more influential precisely because they tend to drink less. When a woman starts drinking heavily, he says, it sends a strong signal to those around her that it's O.K. to start boozing too.
From the previous story on male juvenile delinquent behaviour being contagious people made the same "correlation is not causation" statement. I think that at this point the majority of Slashdot readers are well aware that correlation is not causation, so I'll just copy/paste an appropriate response:
"correlationdoesnnotnecessarilymeancausation
Indeed, which is why the vast majority of studies that get tagged by the moronic "correlationisnotcausation" involve some application of Mill's Methods and/or statistical and theoretical inference to demonstrate causation based on the observed correlations.
What gets reported is the correlation, because reporters are even dumber than /. taggers, but the researchers generally have thought a little bit about elementary logical errors somewhere along the path of their experiment design.
The tag is particularly idiotic when you consider that every correlation is caused by something, so the OP here is absolutely correct: if you really believe that there is no relationship whatsoever between correlation and causation, such that you can reflexively dismiss every reported correlation with this little snippet of nonsense, then you're pretty much committed to nothing being caused by anything.
Tagging stories this way is completely vacuous. All it tells us is that you haven't read the study or considered whether the usual methods have been employed to properly infer causation from correlation. It would be as useful and relevant to tag all stories with "theskyisblue", which is true in one sense (although the sky happens to be overcast where I am right now) but is only true in a way that is a) known by everyone and b) adds nothing of value to the discussion."
monkey C, monkey sudo!
Yeah, yeah, yeah... the knee jerk correlation is not causation. And I am sure you read the study to see how they accounted for this, right? You looked at their methodolgy and made sure that they were not looking at how habits changed over time (for example in the article: At the time, her cigarette habit didn't seem like a problem; most of her friends also smoked socially. But in the late 1980s, a few of them began to quit, and pretty soon Eileen felt awkward holding a cigarette off to one side when out at a restaurant. She quit, too, and within a few years nobody she knew smoked anymore.
) , and other factors that could explain this. And I am sure that at the end of your research you found that a grad student just plunked some nmbers into an Excel spreasheet and used the built in statistical function.
Yup, a long-term study spends significant time and resources researching something to come to a conclusion. But with your keen perception and research skills, you have totally debunked it. And the slashtards mod it up to +5.
See my journal for slashdot ID's by year. Mine created in 2005. http://slashdot.org/journal/289875/slashdot-ids-by-year
From the previous story on male juvenile delinquent behaviour being contagious people made the same "correlation is not causation" statement. I think that at this point the majority of Slashdot readers are well aware that correlation is not causation, so I'll just copy/paste (again) an appropriate response:
" correlationdoesnnotnecessarilymeancausation
Indeed, which is why the vast majority of studies that get tagged by the moronic "correlationisnotcausation" involve some application of Mill's Methods and/or statistical and theoretical inference to demonstrate causation based on the observed correlations.
What gets reported is the correlation, because reporters are even dumber than /. taggers, but the researchers generally have thought a little bit about elementary logical errors somewhere along the path of their experiment design.
The tag is particularly idiotic when you consider that every correlation is caused by something, so the OP here is absolutely correct: if you really believe that there is no relationship whatsoever between correlation and causation, such that you can reflexively dismiss every reported correlation with this little snippet of nonsense, then you're pretty much committed to nothing being caused by anything.
Tagging stories this way is completely vacuous. All it tells us is that you haven't read the study or considered whether the usual methods have been employed to properly infer causation from correlation. It would be as useful and relevant to tag all stories with "theskyisblue", which is true in one sense (although the sky happens to be overcast where I am right now) but is only true in a way that is a) known by everyone and b) adds nothing of value to the discussion."
No, dipshit. I am making fun of your research skills. You didn't even bother reading the article, much less the original research, yet you see yourself fit to "debunk" it.
You can't even read the criticism against you correctly. How do you think you are fit to judge this study.
Go read this comment that was pointed out by another reader: http://science.slashdot.org/comments.pl?sid=1306647&cid=28734109
It does a better job than I did of why your post is intellectually void.
See my journal for slashdot ID's by year. Mine created in 2005. http://slashdot.org/journal/289875/slashdot-ids-by-year
You completely misunderstood his post.
His point was that grad students conducting a long term research project probably would have thought about this and would have designed their experiments and analysis accordingly. Simply writing off the study by saying "Correlation does not equal Causation" is unfair and, unfortunately for Chapter80, demonstrates a certain amount idiocy.
Hi Seumas,
This is NOT a waste of money. This study began in 1948 to discover causes of cardiovascular disease. The data was very broad and included health habits, diet, and sociological information. This "study" simply poured through the already existing data to find other interesting bit of information.
So, while some money might have been spent, this was more of an anlysis of existing information. In some ways, it is a money savings as no new study needed to be conducted to glean this information.
If you are interested, Google the study. There is a lot information out there, and the study added a lot to our body of knowledge.
See my journal for slashdot ID's by year. Mine created in 2005. http://slashdot.org/journal/289875/slashdot-ids-by-year
His criticism is valid. Despite researchers' methodological rigour, social network analysis can identify causation that just doesn't exist. One study, using the same design that had previously identified obesity as being contagious or caused by an individual's social network, found that height, headaches and acne were similarly contagious. Height could be a good predictor of friends' height but your height won't be changed by your friends' heights. Granted, I haven't read the article and I'm not qualified to know whether the authors used the appropriate controls in the right ways, but it bears mentioning that even an ostensibly solid design can produce misleading results when trying to establish causation.
Let's recap
1) Data from a study which has been going on for 60 years is analyzed. Researchers reach certain conclusions.
2) Poster who admittedly did not even read the article, much less the study says this is a prime example of correlation is not causation.
3) You support #2 as some studies are flawed.
4) You admit you have not looked at the study
So, my question... what study could possibly EVER make it past your lack of rigor? Seriously. Please answer this question. No matter how well designed, you and other like you will criticize it. There is no way to defend as you won't take the time to properly analyze the methodology. Yet, despite not taking the time, you feel qualified to discount it.
"Hi, I don't believe in global warming cuz last winter was so cold (or maybe it was the year before). No, I don't care about global data for 50 years, cuz those guys are pointy haired, librul, academics".
See my journal for slashdot ID's by year. Mine created in 2005. http://slashdot.org/journal/289875/slashdot-ids-by-year
You would seem to be correct. But I think that's less about happiness, than about how one defines success. Success is how much you exceed expectations by. Your expectations are set by looking at your 'peers'. Therefore to be 'successful' you need to be doing better than your peers are. Successful in turn, tends to promote feelings of contentment and happiness, because people feel that 'things could be worse'. More enlightened will realise what utter hogwash this is, but most will still go to work tomorrow, to work for a crust, to support their family/buy their house anyway.
Given the amount of money to be made by both sides of the Global Warming debate, as well as the huge amount of obviously and verifiably inaccurate information spewed by both sides of the Global warming debate, I don't think that it is the subject you really want to use as a way to mock your opponents.