Three things that resonated with healthcare professionals after reading 'The World is Made of Standard Values': An AI Book Review
How do you feel when you see news that something has "exceeded the standard value"?
I remember the uneasy feeling in my chest, thinking, "It's dangerous after all" or "I have to avoid it." In the medical field, numbers fly around every day. Blood pressure, blood sugar levels, radiation doses, and the number of infected people. Every time those numbers exceed the "standard value," patients, and sometimes we staff members ourselves, feel a sense of anxiety. But to be honest, most of the time, we use those numbers without really understanding how they were determined.
This book clearly articulated that vague feeling for me.
The assumption that "standard value = boundary of safety"
I picked up 'The World is Made of Standard Values' (by Takashi Nagai, Kodansha Blue Backs) because I happened to see it at a bookstore. The title sounded provocative, and I flipped through the pages thinking, "That's a bit exaggerated," but within minutes of starting to read, my posture changed.
The first question the book asks is simple but sharp: "What on earth do standard values exist for?"
We vaguely think of standard values as the "boundary between safety and danger." Below the standard is safe, above it is dangerous. We unconsciously hold an image as if a line were drawn at the edge of a cliff. But this book carefully, and somewhat mercilessly, dismantles that image.
Take radiation dose limits, for example. As stated by the Ministry of the Environment, this is not a "boundary of how much you can be exposed to" nor a "boundary between safety and danger." It functions in tandem with efforts to minimize risk, and it is not a guarantee that "anything below 1mSv is absolutely safe." A standard value is not a "certificate of zero risk." This point alone significantly shook the way I read numbers.
What happened with the COVID-19 "15-minute rule"
What left a particular impression on me in this book was the chapter on the definition of "close contacts" during the COVID-19 pandemic.
I think everyone heard the conditions: "no mask, within 1 meter, for 15 minutes or more." While I was using that at work, I wondered somewhere, "Why 15 minutes?"
As the author, Mr. Nagai, explains on his blog, this 15-minute figure was not a medical boundary guaranteeing zero infection, but a line drawn to make the "administrative operation" of contact tracing possible. You cannot keep chasing contacts indefinitely. So, you have to cut it off somewhere. The number for that was "15 minutes."
However, in the field, that number took on a life of its own. The "14-minute school lunch rule" introduced in the book is a symbol of this. An interpretation emerged that if you finished eating in 14 minutes, you wouldn't be a close contact.
It sounds like a joke, but similar things happen in the medical field. People get happy or sad over whether a certain test value "exceeded the standard or not," and no one stops to think about what that number means or under what premises it was decided. The quote cited in the book hits home: "Standards are the perfect tool to keep us from the act of thinking."
The chapter on cancer screening was heavy even for me as a certified public psychologist
I hold a certification as a public psychologist, although I am not currently doing counseling work. However, reading from the perspective of "decision-making" and "risk perception" that I learned in psychology, the story about cancer screening in Chapter 8 felt particularly heavy.
The National Cancer Center also clearly states that the purpose of cancer screening is not "to find cancer" but "to lower the risk of death." This difference, while seemingly trivial, is significant. This is because screening has not only benefits but also disadvantages. False positives, false negatives, and "overdiagnosis." There is a risk of finding and treating a cancer that might never have caused a problem in one's lifetime.
Regarding thyroid cancer screening, an American agency called the USPSTF concluded that they do not recommend screening for asymptomatic adults. This is because it was judged that the harm from treatment outweighs the benefits. The reality of medicine cannot be followed by a simple narrative that "early detection is justice."
Psychologically speaking, the stress of being told "you have an abnormal value" and the subsequent anxiety about detailed examinations are by no means small. The cost of undergoing screening includes things that are not reflected in numbers. This book carefully picks up on those aspects.
Three things that resonated with the feeling in the field
Having finished reading it, I have summarized the three points that made me think, "Yes, exactly, this is it."
The first is that "numbers cannot be separated from their purpose". The two standards for removed soil, "100 Bq/kg" and "8000 Bq/kg," have different values because their purposes are different. Even for numbers regarding the same substance, if the "line drawn to protect something" is different, the meaning is completely different. This is the same in medicine; even with the same blood pressure number, the line drawn for a high-risk person and the line drawn for a healthy person should fundamentally be different.
The second is that "the question of who bears the burden cannot be ignored". When deciding on treated water from nuclear power plants or the height of seawalls, the people who receive the benefits and the people who bear the risks are not necessarily the same. A standard value is a number, but behind it lies the reality that "someone is accepting something." The reason informed consent is emphasized in medical ethics is precisely to return this question to the patient.
The third is that "it is supposed to be updated, yet it becomes authoritative and stagnant". Just as gender regulations in sports are repeatedly revised, standard values are provisional. However, once they receive an "official stamp of approval," they are rarely reviewed. The nature of standard values that the book points out—that "once decided, they are difficult to change"—is something I have certainly felt in both the medical system and clinical practice.
What to ask before "exceeded/not exceeded"
The conclusion of this book is clear. The author says that when you see a standard value, you should not stop at "exceeded or not exceeded," but should ask four things.What is this standard value for? What assumptions was it based on? Who is bearing the burden? And, can it be updated?
I took this not as a matter of information literacy, but as "participating in social decision-making."
Every time I saw a headline in the news saying "X times the standard value detected," I used to get a little scared. But now, I feel like I can pause and ask, "For what purpose was that standard value drawn?" I believe that alone made reading this book well worth it.
As someone working in the medical field, I feel the difficulty of standing between numbers and people every day. But precisely because of that, I realized once again the importance of continuing to properly question the meaning of numbers. This is not a difficult book. Rather, it is easy to read, and since each chapter is independent, you can enjoy reading from the themes that interest you. Please do pick it up.
Summary
"Standard value = boundary of safety" is not true; it is merely a provisional line drawn by society. The 15-minute rule for COVID was not a guarantee of zero infection, but an operational number for contact tracing. The purpose of cancer screening is not "to find cancer" but "to lower the risk of death," and it should be evaluated by balancing it against the disadvantages. When you see a standard value, do not stop at "exceeded/not exceeded," but asking "for what purpose, by whom, and based on what assumptions was this line drawn?" is the first step to not being swayed by numbers.
In an era overflowing with health information, I believe whether or not you can have this perspective is directly linked to your daily sense of security. I wrote this article hoping that the way you see the "standard values" you encounter from now on might change, even just a little.
Thank you very much for staying with me until the end. I would be happy if today's article could be a trigger for you to think about your next steps from tomorrow onwards.
#AIBookReview #HealthLiteracy #MedicalInformation #ScientificThinking #StandardValues
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