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Two killed as scaffolding collapses in Nonthaburi


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Two killed as scaffolding collapses in Nonthaburi

By Surasit Sinprasert 
The Nation

 

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Scaffolding at a construction site collapsed in Nonthaburi province on Sunday, causing two deaths. Killed at the scene were Suwat Nuseng, a 39-year-old constructor, and Chen, a 32-year-old Cambodian worker.
 

Witnesses said Suwat was supervising the construction of a two-storey luxury house, with Chen standing nearby, when the scaffolding fell down. More than 10 people were working at the site. 

 

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Rescuers from the Poh Teck Tung Foundation spent more than an hour removing scaffolding debris before they could bring out the bodies of the two victims. 

 

Deputy Nonthaburi Governor Ampon Angkhapakornkul inspected the site and declared it off-limits, except to relevant officials. He also instructed the authorities to provide help to the victims in line with government procedures. 

 

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Source: http://www.nationmultimedia.com/detail/breakingnews/30341197

 
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An interesting study on Fatal Injury Rate at Work by Country (updated to 25 January 2013) using two data sources shows that Thailand ranked (the higher the worse):

  • 107 - Occupational Fatal Injury Rates among 119 Countries based on ILO report (between Ecuador & Botswana);
  •   93 - Occupational Fatal Injury Rates among 100 Countries based on TUT paper (between Guatemala & Egypt)

https://sites.google.com/site/ryoichihoriguchi/home/occupational_fatality_by_county

I'd expect such rankings are now understated for Thailand as since 2014 the junta has been starting massive infrastructure projects that have the potential for increased worker fatalities.

 

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55 minutes ago, Srikcir said:

An interesting study on Fatal Injury Rate at Work by Country (updated to 25 January 2013) using two data sources shows that Thailand ranked (the higher the worse):

  • 107 - Occupational Fatal Injury Rates among 119 Countries based on ILO report (between Ecuador & Botswana);
  •   93 - Occupational Fatal Injury Rates among 100 Countries based on TUT paper (between Guatemala & Egypt)

https://sites.google.com/site/ryoichihoriguchi/home/occupational_fatality_by_county

I'd expect such rankings are now understated for Thailand as since 2014 the junta has been starting massive infrastructure projects that have the potential for increased worker fatalities.

 

 

You do come up with good information well done (i mean it). But your not that good with numbers.

 

You are stating that Thailand will raise in the ranks as there are more projects started. That is a statement that makes no sense.

If there are more projects started that would mean the number of workers would increase too. The stats here are number of accidents divided by number of workers. So just having more projects does not mean an automatic raise in stats as the number or workers goes up too. 

You could only be right if you state that the absolute numbers would raise.. not the injury rate like in your stats. 

 

Unless those massive projects were inherently more unsafe (I don't believe so I actually believe that the large contractors are working more safe then the smaller ones). One could even make a case that Thailands stats would go down because of the new projects done by large companies who are in general more safe. 

 

Just look here.. this is not a large company but one of those smaller crews and the feats i have seen those people do are far more dangerous then the large companies. 

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21 hours ago, robblok said:

You are stating that Thailand will raise in the ranks as there are more projects started. That is a statement that makes no sense.

1. I did not say "more projects started" but rather more "massive infrastructure projects." The latter are typically constructed by large-size contractors vs. smaller projects using small-size contractors.

2. My logic for my statement as to the rise was not very well explained. But it did not presume an automatic rise.

21 hours ago, robblok said:

If there are more projects started that would mean the number of workers would increase too. The stats here are number of accidents divided by number of workers. So just having more projects does not mean an automatic raise in stats as the number or workers goes up too. 

You may be right or you may be wrong.

The studies use a collection of data to describe an event, ie., rank, at a point or span of time. The data doesn't distinguish between small and large projects or small and large contractors. In the data itself there is no basis for prediction without making some assumptions as to the behavior of the data parameters into the future. Such a prediction requires an assumption as to the frequency of fatal injury rates expected in the future. 

 

For example, simply finding that 3 out of 10 people (30%) are injured on projects doesn't necessarily follow that in the future out of 100 people created by more projects that there will be 30 injured (30%). I believe this is essentially your analysis. To conclude such a prediction correctly requires an assumption that the frequency of occurrence is constant over time. I can accept such predicted behavior of data if we were discussing a solely nonhuman mechanical process, ie., machinery and robots. But we are not.

 

The rankings deal with fatal injury to humans likely working collectively within human organizations (ie., contractors). This scenario potentially adds human parameters (ie., mental, physiological and physical states of well-being; organizational personnel factors; and environmental factors)1 that add more variability to the frequency of occurrence - the frequency will not likely remain constant over time. I believe that large projects managed by large contractors introduce more potential for organizational dysfunction, broader lines of internal communication and more supervision linkages than do projects managed by small contractors. There may also be adverse effects on workers caused by corruption in large projects this being Thailand, but my data-lacking analysis is complicated enough as it is.

 

So intuitively, I expect the frequency of occurrence will increase in a nonlinear, curved or asymptotic manner.

 

1 "Construction Accidents in Thailand: Statistical Data Analysis," Chaiporn Vongpisal, KMUTNB Int J Appl Sci Technol, Vol. 10, No 1, pp.7-21

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5 minutes ago, Srikcir said:

1. I did not say "more projects started" but rather more "massive infrastructure projects." The latter are typically constructed by large-size contractors vs. smaller projects using small-size contractors.

2. My logic for my statement as to the rise was not very well explained. But it did not presume an automatic rise.

You may be right or you may be wrong.

The studies use a collection of data to describe an event, ie., rank, at a point or span of time. The data doesn't distinguish between small and large projects or small and large contractors. In the data itself there is no basis for prediction without making some assumptions as to the behavior of the data parameters into the future. Such a prediction requires an assumption as to the frequency of fatal injury rates expected in the future. 

 

For example, simply finding that 3 out of 10 people (30%) are injured on projects doesn't necessarily follow that in the future out of 100 people created by more projects that there will be 30 injured (30%). I believe this is essentially your analysis. To conclude such a prediction correctly requires an assumption that the frequency of occurrence is constant over time. I can accept such predicted behavior of data if we were discussing a solely nonhuman mechanical process, ie., machinery and robots. But we are not.

 

The rankings deal with fatal injury to humans likely working collectively within human organizations (ie., contractors). This scenario potentially adds human parameters (ie., mental, physiological and physical states of well-being; organizational personnel factors; and environmental factors)1 that add more variability to the frequency of occurrence - the frequency will not likely remain constant over time. I believe that large projects managed by large contractors introduce more potential for organizational dysfunction, broader lines of internal communication and more supervision linkages than do projects managed by small contractors. There may also be adverse effects on workers caused by corruption in large projects this being Thailand, but my data-lacking analysis is complicated enough as it is.

 

So intuitively, I expect the frequency of occurrence will increase in a nonlinear, curved or asymptotic manner.

 

1 "Construction Accidents in Thailand: Statistical Data Analysis," Chaiporn Vongpisal, KMUTNB Int J Appl Sci Technol, Vol. 10, No 1, pp.7-21

Lot of hogwash trying to defend something that is just not true.

 

There is no reason to assume that the incident rate will rise at all if any it will fall as the large companies are more safety minded than the smaller ones. The 2 deaths you see here are from a smaller company. 

 

You said you can accept it for non human. You got a lot to learn about statistics.. the huge number of people involved make the statistics work, I would accept your explanation if the group of people was not so big. As usual you show you have no knowledge about numbers and statistics. 

 

You should come out of your home once in a while and look at the large construction sites and look at the smaller ones. You will see difference in safety standards in favor of the larger projects. 

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