Hi Rich,

Your points are well taken.

There are some good ISO standards that relate to exposure to hot and cold 
temperatures. These standards take the type of material, and therefore the 
transfer rate, of heat into account and are quite useful IMO.

You are right about the HBSE model, and I think that we need both approaches, 
that is HBSE and “conventional” risk assessment. The issue is always this: what 
do you do when you don’t have any data? Practitioners must start with what they 
know, and that usually means starting with qualitative risk assessments. This 
is especially true in the broader OHS sector where these types of assessments 
are used for workplace inspections. The problem is that when we attach 
arbitrary numeric values to qualitative scales people start to believe that the 
math is somehow “right” regardless of how arbitrary in the input data. Even if 
the math is correct, GIGO. This is what plagues the application of conventional 
risk assessment techniques and why Cox, Quintino and others have been raising 
the alarm for so many years.

We’re now in a place where the EU has a semi-quantitative (yes I hate that term 
too, but it’s descriptive) risk assessment tool built into the RAPEX directive 
for use on consumer products and white goods. This same tool has been adopted 
by the US CPSC, although they are not making this widely known. Health Canada 
has their own methodology for the same purpose, and I’m quite sure that if we 
were to examine the methods used by the national health and safety agencies in 
any country that has such an entity, we would find that they too have some 
method like the RAPEX/CPSC or Health Canada methods. So, for now we are stuck 
with what we have. At least we are getting manufacturers to think about risk, 
rather than “just” hazards.

Progress comes slowly…

--
Doug Nix
d...@mac.com
(519) 729-5704

"Opportunity is missed by most people because it is dressed in overalls and 
looks like work." - Thomas A. Edison

> On 22-Feb-22, at 19:03, Richard Nute <ri...@ieee.org> wrote:
> 
> 
> 
> Hi Doug:
> 
> Thanks for your comments.
> 
> What bothers me about risk assessment is that the committees that have 
> written the standards requiring risk assessment have not critically evaluated 
> the risk assessment process.  If they had done so, we would not have the 
> process as we know it today.
> 
> Actually, I do not fully agree with the Gibson finding that energy causes 
> injury.  I can show that the injury parameter is energy per unit time, e.g., 
> joules/second.  The body can absorb energy slowly without injury, but not 
> quickly.  Consider that a car with people in it can brake or stop without 
> causing injury to the passengers, but cannot “crash” to a stop where injury 
> is likely.  In both cases, the kinetic energy to stop is the same, but the 
> kinetic energy per time to stop is low in braking, but high in crashing.
> 
> The attached picture is that of catching three objects and assumes the 
> deceleration time is the same for each object.  Note that when we catch an 
> object, we can catch it “slowly” and distribute the energy over a longer time 
> than catching it “directly.”  I submit this as proof that energy per unit 
> time is the parameter that causes injury.
> 
> HBSE does indeed have (or can have) energy criteria for each form of energy.  
> However, I agree that some energy data is not readily available and must be 
> researched.  And, using the energy model can be quite complex.  For example, 
> injury from thermal energy is often simply taken as accessible temperature, 
> sometimes including a time of contact.  Using a single parameter, 
> temperature, or including time of contact parameter, does not address the 
> difference between an aluminum block and aluminum foil (which is the issue 
> some members of IEC TC108/HBSDT are addressing).   Or the difference between 
> an aluminum block and a plastic block.
> 
> Best regards,
> Rich
> 
> 
> 
> From: Douglas Nix <d...@mac.com>
> Sent: Monday, February 14, 2022 12:46 PM
> To: Richard Nute <ri...@ieee.org>
> Cc: EMC-PSTC@LISTSERV.IEEE.ORG
> Subject: Re: [PSES] Risk assessment versus HBSE
> 
> Hi Rich,
> 
> I have to admit that I’ve been thinking about your reply all weekend.
> 
> As you know, I teach machinery risk assessment and consult in this area 
> regularly. I want to stipulate that there are some significant issues with 
> risk assessment the way it is most commonly applied in industry, see my list 
> of references on this topic at the end of my message.
> 
> The inherent subjectivity of risk assessments that are performed without 
> empirical data is unquestioned. The difficulty is that for many areas of 
> human endeavour we have no empirical data, and try as we might we cannot 
> calculate without numeric data. Nevertheless, we must be able to make 
> risk-based decisions when designing products and equipment, and so we muddle 
> along with the best tools that we have, hopefully while recognizing their 
> flaws.
> 
> The HBSE model is a good one, and it fits machinery applications as readily 
> as does risk assessment, however, the risk assessment methods that are used 
> today have a history that stretches back to the 1960s, while the HBSE model 
> is much younger. This doesn’t take away from HBSE in any way for me, but it 
> does have an impact on the broader acceptance of the method since it is not 
> yet as widely known as “conventional” risk assessment. None of the the 
> standards in the machinery safety sector recognize the method as yet, so 
> getting regulators and users to consider the method is a challenge.
> 
> HBSE also suffers from issues with lack of data when it comes to 
> characterizing some hazards, leaving the user to estimate the 
> characteristics. This brings in the biases of the person(s) doing the 
> estimating just as surely as conventional risk assessment methods.
> 
> The absence of a probability parameter in the HBSE model is an interesting 
> one, since the probability aspect is the one most subject to error in 
> conventional risk assessment. Humans are notoriously bad at estimating 
> probability. It appears to me that the absence of that parameter implies that 
> the presence of a hazard will inevitably lead to harm, which I don’t disagree 
> with. CSA Z1002, OHS risk assessment, actually states that this is the case, 
> and recommends that hazards are eliminated on this basis whenever possible.
> 
> So we’re left with this situation, I think:
> 
> 1) Risk assessment, when done quantitatively using sound statistical 
> techniques and valid data is a useful and relatively objective method to 
> provide data to decision makers,
> 2) Conventional risk assessment using subjective opinions and risk matrices 
> or decision trees are unrepeatable and therefore unscientific, however. 
> despite their flaws, they provide a means to help guide decision makers,
> 3) HBSE improves on some aspects of conventional risk assessment by 
> eliminating the probability parameters, but is still subject to some 
> subjectivity, and is still not widely accepted enough for some decision 
> makers.
> 
> I wish there was a more utopian perspective to take on the topic, but I have 
> yet to find my way to it.
> 
> References
> [1] E. S. Levine, “Improving risk matrices: The advantages of logarithmically 
> scaled axes,” J. Risk Res., vol. 15, no. 2, pp. 209–222, 2012.
> [2] R. Long, “Calculators , Matrices and Mumbo Jumbo Risk Assessment,” 
> Safetyrisk.net <http://safetyrisk.net/>, 2016. [Online]. Available: 
> http://www.safetyrisk.net/calculators-matrices-and-mumbo-jumbo-risk-assessment/
>  
> <http://www.safetyrisk.net/calculators-matrices-and-mumbo-jumbo-risk-assessment/>.
>  [Accessed: 03-Feb-2016].
> [3] D. J. Ball and J. Watt, “Further Thoughts on the Utility of Risk 
> Matrices,” Risk Anal., vol. 33, no. 11, pp. 2068–2078, 2013.
> [4] C. Bao, D. Wu, J. Wan, J. Li, and J. Chen, “Comparison of Different 
> Methods to Design Risk Matrices from the Perspective of Applicability,” 
> Procedia Comput. Sci., vol. 122, pp. 455–462, 2017.
> [5] C. Peace, “The risk matrix : uncertain results?,” Policy Pract. Heal. 
> Saf., vol. 0, no. 0, pp. 1–14, 2017.
> [6] B. Ale and D. Slater, “Risk Matrix Basics,” 2012.
> [7] P. Gardoni and C. Murphy, “A Scale of Risk,” Risk Anal., vol. 34, no. 7, 
> pp. 1208–1227, 2014.
> [8] P. Baybutt, “Guidelines for Designing Risk Matrices,” Process Saf. Prog., 
> vol. 00, no. 0, p. 7, 2017.
> [9] H. J. Pasman, W. J. Rogers, and M. S. Mannan, “Risk assessment: What is 
> it worth? Shall we just do away with it, or can it do a better job?,” Saf. 
> Sci., vol. 99, pp. 140–155, 2017.
> [10] X. Ruan, Z. Yin, and D. M. Frangopol, “Risk Matrix Integrating Risk 
> Attitudes Based on Utility Theory,” Risk Anal., vol. 35, no. 8, pp. 
> 1437–1447, 2015.
> [11] S. Albery, D. Borys, and S. Tepe, “Advantages for risk assessment: 
> Evaluating learnings from question sets inspired by the FRAM and the risk 
> matrix in a manufacturing environment,” Saf. Sci., vol. 89, pp. 180–189, 2016.
> [12] P. Thomas, R. B. Bratvold, and J. E. Bickel, “The Risk of Using Risk 
> Matrices,” SPE Annu. Tech. Conf. Exhib., no. April 2015, 2013.
> [13] F. Gauthier, Y. Chinniah, D. Burlet-Vienney, B. Aucourt, and S. 
> Larouche, “Risk assessment in safety of machinery: Impact of construction 
> flaws in risk estimation parameters,” Saf. Sci., vol. 109, no. June, pp. 
> 421–433, 2018.
> [14] O. Amundrud and T. Aven, “On how to understand and acknowledge risk,” 
> Reliab. Eng. Syst. Saf., vol. 142, pp. 42–47, 2015.
> [15] S. O. Hansson and T. Aven, “Is Risk Analysis Scientific?,” Risk Anal., 
> vol. 34, no. 7, pp. 1173–1183, 2014.
> [16] J. Li, C. Bao, and D. Wu, “How to Design Rating Schemes of Risk 
> Matrices: A Sequential Updating Approach,” Risk Anal., 2018.
> [17] L. A. Cox, D. Babayev, and W. Huber, “Some limitations of qualitative 
> risk rating systems,” Risk Analysis, vol. 25. pp. 651–662, 2005.
> [18] L. A. Cox, “What’s wrong with risk matrices?,” Risk Anal., vol. 28, no. 
> 2, pp. 497–512, Apr. 2008.
> [19] A. Quintino, “What’s Wrong with Risk Matrices? Decoding a Louis Anthony 
> Cox paper Reshaping dowsntream configuration View project An integrated risk 
> management model for an oil and gas company View project,” no. March 2011, 
> 2016.
> --
> Doug Nix
> d...@mac.com <mailto:d...@mac.com>
> 
> “If there are no dogs in Heaven, then when I die I want to go where they 
> went.” -Will Rogers
> 
> 
> 
> 
>> On 12-Feb-22, at 16:59, Richard Nute <ri...@ieee.org 
>> <mailto:ri...@ieee.org>> wrote:
>> 
>> 
>> 
>> I don’t like the Risk Assessment process because it is highly subjective and 
>> not very repeatable.
>> 
>> When I was with Hewlett Packard, three of us developed “Hazard Based Safety 
>> Engineering,” HBSE.  The basis for HBSE was James J. Gibson’s (Cornell 
>> University) research into child injury from auto accidents.  Gibson said:
>> 
>> “Injuries to a living organism can be produced only by some energy 
>> interchange. Consequently, a most effective way of classifying sources of 
>> injury is according to the forms of physical energy involved. The analysis 
>> can thus be exhaustive and conceptually clear. Physical energy is either 
>> mechanical, thermal, radiant, chemical, or electrical.”
>> 
>> In a moving automobile, the automobile and its passengers have kinetic 
>> (mechanical) energy.  In an accident, the kinetic energy of the automobile 
>> is dissipated in crumpling parts.  The kinetic energy of the passengers is 
>> dissipated in injuries to the body.  Seat belts transfer the passenger 
>> kinetic energy to the automobile.  Air bags slow the rate of kinetic energy 
>> transfer to the automobile.
>> 
>> HBSE identified the magnitudes each kind of physical energy necessary to 
>> cause injury.  We called this “hazardous” energy.  Then, HBSE went on to 
>> specify safeguards that would attenuate or prohibit hazardous energy 
>> interchange.
>> 
>> When I evaluate a product, I look for the physical energy sources, and then 
>> determine if the energy sources are hazardous or not.  Unlike Risk 
>> Assessment, this is easy and repeatable and not subjective.  For example, 
>> all primary circuits are hazardous energy circuits that can cause injury 
>> (electric shock, thermal, fire, and maybe more) and safeguards must be 
>> provided.
>> 
>> Best regards,
>> Rich
>> 
>> 
>> From: Douglas E Powell <doug...@gmail.com <mailto:doug...@gmail.com>>
>> Sent: Friday, February 11, 2022 11:37 AM
>> To: EMC-PSTC@LISTSERV.IEEE.ORG <mailto:EMC-PSTC@LISTSERV.IEEE.ORG>
>> Subject: Re: [PSES] EN 62368-1 : 2020 Ed 3
>> 
>> In my view, the Risk Assessment should never be treated as a 'get out of 
>> jail' card or panacea. Instead, it is only a starting point for a safe 
>> design and should be done near the beginning of a project, not the end. I 
>> agree with what Rich says, I've seen a lot of subjective assessments by 
>> cross-functional teams, with variability based on personal risk tolerance or 
>> risk aversion.  There are any number of articles pointing to why humans are 
>> not very good at assessing risk (Google search 
>> <https://www.google.com/search?q=humans+are+not+very+good+at+assessing+risk>).
>> 
>> When using FMEA for risk assessment, I always stress that the RPN factors of 
>> probability of occurrence, severity, and detection be quantified separately 
>> without regard to the other factors, not an easy task. There is also the 
>> problem of RPN vs Criticality (severity x occurrence).  If using the RPN, 
>> there is the possibility that Detection can dilute the RPN number to a point 
>> below the threshold for action. So in my view, Criticality alone should be 
>> used to trigger action.
>> 
>> Kenneth Ross wrote a very good article last month on Navigating the Safety 
>> Hierarchy; for me, it was an excellent refresher on how I should use risk 
>> assessment more effectively 
>> (https://incompliancemag.com/article/navigating-the-safety-hierarchy/ 
>> <https://incompliancemag.com/article/navigating-the-safety-hierarchy/>).
>> 
>> -Doug
>> 
>> Douglas E Powell
>> Laporte, Colorado USA
>> -
>> ----------------------------------------------------------------
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> <energy_transfer.jpg>


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