Manny's Reviews > Apes in Lab Coats: Field Observations and Experimental Studies of the Scientist
Apes in Lab Coats: Field Observations and Experimental Studies of the Scientist (Homo sapiens)
by
by

Manny's review
bookshelves: received-free-copy, science, well-i-think-its-funny, chat-gpt
Jan 21, 2025
bookshelves: received-free-copy, science, well-i-think-its-funny, chat-gpt
Looking at the title, cover and blurb of this book, I expected something humorous and lightweight, ironically riffing on the similarities between scientists and the higher primates. Well, that wasn't completely wrong: it's humorous and ironic, and part of the humour does indeed come from that comparison. But, to my surprise, it wasn't lightweight at all. A few millimetres under the fluffy surface, it turns out to be a serious book on science, and in particular on experimental design in science, written by a terrifyingly competent statistician with decades of high-level experience in the field. Who would have guessed?
I realised after reading just a couple of dozen pages that I knew nothing at all about experimental design; not only that, I didn't even know how ignorant I was. I suppose I can take some comfort from the fact that this type of ignorance seems to be quite common. But given that it's the cornerstone of science, and I'm supposed to be some kind of scientist, it's still rather shocking. The author, who comes across as a nice guy, says it's almost impossible to get people to change their ways here. He's written plenty of academic papers, and now he's tried writing a couple of popular books, but nothing bites. For sociological reasons which he goes into at length, scientists don't want to do good experiments. They don't get rewarded for performing carefully designed studies which can later be replicated: they get rewarded for publishing as many papers as possible. If the goal is to maximise quantity, this comes at the expense of quality. As usual, you get what you incentivise.
Logically, Apes in Lab Coats should change my behaviour: unfortunately, as it makes clear, we are in fact not much more logical than other primates, and we hate changing our behaviour. But all the same, I somehow feel optimistic. Perhaps it helps that I spend a lot of my time talking with a highly rational AI who isn't a primate at all? We will see.
I realised after reading just a couple of dozen pages that I knew nothing at all about experimental design; not only that, I didn't even know how ignorant I was. I suppose I can take some comfort from the fact that this type of ignorance seems to be quite common. But given that it's the cornerstone of science, and I'm supposed to be some kind of scientist, it's still rather shocking. The author, who comes across as a nice guy, says it's almost impossible to get people to change their ways here. He's written plenty of academic papers, and now he's tried writing a couple of popular books, but nothing bites. For sociological reasons which he goes into at length, scientists don't want to do good experiments. They don't get rewarded for performing carefully designed studies which can later be replicated: they get rewarded for publishing as many papers as possible. If the goal is to maximise quantity, this comes at the expense of quality. As usual, you get what you incentivise.
Logically, Apes in Lab Coats should change my behaviour: unfortunately, as it makes clear, we are in fact not much more logical than other primates, and we hate changing our behaviour. But all the same, I somehow feel optimistic. Perhaps it helps that I spend a lot of my time talking with a highly rational AI who isn't a primate at all? We will see.
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Reading Progress
January 18, 2025
–
Started Reading
January 18, 2025
– Shelved
January 18, 2025
– Shelved as:
science
January 18, 2025
– Shelved as:
received-free-copy
January 18, 2025
– Shelved as:
well-i-think-its-funny
January 18, 2025
–
17.06%
"When researchers understand and control for sources of variability, it becomes easier for others to replicate the experiment and obtain similar results. Reproducibility and replicability are essential for confirming the validity of scientific findings.
But is this how it works in real life? Within the four walls of the laboratory, what do scientists really think about variability? More importantly, what do they do?"
page
50
But is this how it works in real life? Within the four walls of the laboratory, what do scientists really think about variability? More importantly, what do they do?"
January 18, 2025
–
23.89%
"5. Exploring multidimensional spaces using low-dimensional tools may give rise to Hogarth spaces. These have the beguiling property of generating data to support scientists� initial intuitions no matter how flawed.
6. Scientists encountering a string of Hogarth spaces may soon develop a misplaced confidence, bordering on arrogance, in their scientific intuitions."
page
70
6. Scientists encountering a string of Hogarth spaces may soon develop a misplaced confidence, bordering on arrogance, in their scientific intuitions."
January 19, 2025
–
46.08%
"Scientists are often quite intelligent.
This is a double-edged sword.
On the one hand, this allows them to rapidly adjust their world view based on their interpretation of new data.
On the other, it also means that they can quickly change their interpretation of new data based on their world view."
page
135
This is a double-edged sword.
On the one hand, this allows them to rapidly adjust their world view based on their interpretation of new data.
On the other, it also means that they can quickly change their interpretation of new data based on their world view."
January 19, 2025
–
51.19%
"More than half of scientists interviewed as part of the Nobel laureate process cite the importance of 'scientific intuition'. While their views may be interesting, there is massive Selection Bias and Survivor Bias at work. We only hear from the winners. It's the equivalent of winners of the X-Factor exhorting other contestants to never give up on the dream or 'go with your gut'."
page
150
January 19, 2025
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56.31%
"Current reward systems combined with powerful cognitive biases - especially Confirmation Bias, Hindsight Bias, Observer Bias in conjunction with a strong Bias Blind Spot - favour progression-seeking behaviours over truth-seeking behaviours in scientific research and development."
page
165
January 21, 2025
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75.09%
"I had a colleague, Paula, studying jaguar (Panthera onca) who never got to see a jaguar in her entire three years in the field. Instead, the bulk of her research relied upon collecting and mapping jaguar droppings.
Fortunately for Paula, you can learn a lot from jaguar poo. Territories, diet, movements. She analysed the crap out of it."
page
220
Fortunately for Paula, you can learn a lot from jaguar poo. Territories, diet, movements. She analysed the crap out of it."
January 21, 2025
– Shelved as:
chat-gpt
January 21, 2025
–
Finished Reading