This author sounds like a deeply confused person.
This author sounds like a deeply confused person.
When we acclaim someone we're praising them because of their contributions. Because our minds are finite, we use heuristics / proxies to measure those contributions. And those heuristics can be arbitrarily poor.
To put it in words you might like better, I think what he's saying here is that if he were going to write an algorithm that measures his success, he would have it measure how much he helped each person. Because the supercomputer running the algorithm is better at details than we are, it could bypass the often-misleading heuristics / proxies and measure his contributions directly.
When we're looking at our own lives, we have more detail available than when we look at others lives. So why not try to skip the proxies and optimize on the core concept?
I’m not saying not to help others - just that I think their mentality is still a reflection of the desire to achieve
And yes, it is important how you come to conclusions. Being right for the wrong reason means your still wrong, and it will catch up with you eventually.
As a Mormon my view was that god comes before self. God, really, comes before everything. I think that is still the case with most Mormons.
Even as someone who is not religious I think he makes quite an interesting argument for the metric used by many to measure success.
To argue any other perspective would be repulsive.
Maybe instead of claiming someone is deeply confused, make an actual point.
Maybe you are the one who us confused. Why would a being powerful enough to create the heavens and earth give one shit about your job?
I don't do it because a mythical all-powerful (but personified) creature, who I have never had contact with will judge me more favorably. That kind of thinking is just insane.
From that standpoint it is easier to understand what he is saying. Just as with my father (sleeping downstairs), he taught me to help other people and to be kind to others. I saw him doing it and realized how happy it made him, it made me want to be like him, so over the years I tried hard. I failed a lot, but over time I became a kinder, more thoughtful, more intelligent person.
The more kind I am, the more I serve, the more I understand _why_ it is so wonderful to help other people and why it is worth it whether it costs me little or whether I have to sacrifice a lot.
I view God in a similar light; I know he is more intelligent than I am, he knows things I don't, I can sense what kind of a being he is and I want to be more like _that_. I don't understand all the reasons, but I sense that he loves his children, just as my father downstairs loves me and my siblings. I trust that what God wants for me is right even when I would feel like I would rather do something else, so I persevere and I learn how wonderful it is and I remind myself of how much I want to be better. God is an example, both of what to do, and how wonderful it is to do it. That works not only in serving others, but in the details of how to do it and some nuances that I probably wouldn't come up with on my own.
I care about what God cares about because I love him. Presumably that is the same for Clayton Christensen.
Hopefully that helps explain the thinking a bit better.
Here's a wonderful short piece by Andy Weir (who wrote The Martian) that I am in love with and resonates with the very bit that you disliked. It's worth 2 minutes of your time:
His thinking is so simplistic that he fails to see how simplistic it is.
Then on "confused", well, he is simplistic and, in particular, concludes that the world is as simplistic as his observations, concludes that the universe and God are nearly that simplistic, so is willing to believe his stuff about God.
E.g., his description of the roles of data are absurdly simplistic. Look, Clayton guy, you have not even started even to scratch the surface of the nature, role, power, value, importance of data.
Also Clayton, your view of innovation is too simplistic and fails to cover all the more important cases of innovation funded since 1940 by the US DoD, NSF, NIH, NASA, DoE, and more and the work of, say, Viterbi at QUALCOMM, and the rest of the STEM fields.