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I looked up your story ("whales don't die of cancer" on duckduckgo), and found it: http://www.bbc.com/earth/story/20151031-the-animal-that-does... .



I found this paper on the hypertumor hypothesis: https://academic.oup.com/icb/article/47/2/317/719209

The BBC article you posted looks like it has results that are 1) derived from actual animals, and 2) more directly useful, but I'm just a little disappointed that tumor cannibalism isn't their explanation, if I'm honest.


The possible explanation of this (Peto's paradox) I mentioned was something I read on SlateStarCodex once, and it's from this paper: https://academic.oup.com/icb/article/47/2/317/719209.

I don't think this hypothesis is widely accepted, but I remembered it because it's neat, and fits the game-theoretic model of cooperation/defection perfectly - which also makes it extremely useful for drawing analogies.


The "Evolution of Trust" game by Nicky Case was what I related your description with [0].

[0] https://ncase.me/trust/


Can you elaborate on the analogy in the context of this thread?


Tumors can be seen as made of cells which eschew cooperation with the rest of the body, and instead selfishly multiply, to the detriment of the whole and ultimately themselves.

It is my belief that advertising is a cancer on the society; it's exploiting - and in the process, destroying - every vulnerable individual and social heuristic. It involves uncooperative behaviors like manipulating people and lying to them.

The analogy here is that since entities making up the advertising industry eschew cooperation and embrace exploiting others for short-term gains, they're not going to magically start playing fair and cooperating within the industry. Therefore, to the extent you expect advertisers (including adtech) to scam you, they'll scam each other just the same - as seen in this article.

This, fortunately, somewhat limits the effectiveness of that industry.

I came up with this analogy few years ago, when I read accusations that Optimizely designed their A/B testing suite's UI in a way that promotes drawing statistically unsound conclusions from A/B tests, misleading you to believe that the tested intervention worked - and thus making you think Optimizely is successfully helping you learn things. My own personal observations from working alongside one social marketing team also confirmed the soundness of this analogy.

EDIT: that Optimizely debacle I'm talking about:

https://blog.sumall.com/journal/optimizely-got-me-fired.html

https://news.ycombinator.com/item?id=10872359


Ah, so you're an optimist


But the whale analogy doesn’t hold because we still have the cancer and some of the tumors are quite large (Google).




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