Skip to main content

Optimal amount of input

If you don’t get any outside input into your life, you’re literally an idiot, someone in your own little world. But if you get too much outside input, you become a bland cliche. I’ve written about this a couple times, and ran across a new post this morning from someone expressing a similar idea.

I first wrote about this in a short post on noise removal. After talking about signal processing, I wax philosophical.

This is a metaphor for life. If you only value your own opinion, you’re an idiot in the oldest sense of the word, someone in his or her own world. Your work may have a strong signal, but it also has a lot of noise. Getting even one outside opinion greatly cuts down on the noise. But it also cuts down on the signal to some extent. If you get too many opinions, the noise may be gone and the signal with it. Trying to please too many people leads to work that is offensively bland.

I returned to this theme in The Opposite of an Idiot:

An idiot lives only in his own world; the opposite of an idiot has no world of his own.

This morning I found a new post along these lines via Tyler Cowen. He links to a short post entitled We Can Read Without Learning at All.

We require the friction of other minds to buff away self-generated roughness. Few of us can polish ourselves. We are likelier to grow cranky and conspiracy-minded, mistaking brainstorms for insight while rediscovering what the rest of the world already knows. Had I read only the books assigned in class, I would today be only nominally literate. Had I read only the books that confirmed the thoughts I already possessed, I would remain marginally illiterate.

In our networked world, we’re more likely to have a plethora of low-quality input than to be isolated. There’s more danger of becoming a bland opinion poll than becoming a cranky idiot.

Living inside a partisan bubble may be the worst of both worlds: the blandness of herd mentality and the crankiness of isolation.



from John D. Cook https://ift.tt/2ojezBt
via IFTTT

Comments

Popular posts from this blog

Solving Van der Pol equation with ivp_solve

Van der Pol’s differential equation is The equation describes a system with nonlinear damping, the degree of damping given by μ. If μ = 0 the system is linear and undamped, but for positive μ the system is nonlinear and damped. We will plot the phase portrait for the solution to Van der Pol’s equation in Python using SciPy’s new ODE solver ivp_solve . The function ivp_solve does not solve second-order systems of equations directly. It solves systems of first-order equations, but a second-order differential equation can be recast as a pair of first-order equations by introducing the first derivative as a new variable. Since y is the derivative of x , the phase portrait is just the plot of ( x , y ). If μ = 0, we have a simple harmonic oscillator and the phase portrait is simply a circle. For larger values of μ the solutions enter limiting cycles, but the cycles are more complicated than just circles. Here’s the Python code that made the plot. from scipy import linspace from ...

Lawyer: 'Socialite Grifter' Anna Sorokin 'Had To Do It Her Way' (And Steal $275,000)

Opening statements were made in the "Socialite Grifter" trial on Wednesday, and both sides provided extremely different reasons why Anna Sorokin allegedly scammed a number of people and institutions out of $275,000. [ more › ] Gothamist https://ift.tt/2HXgI0E March 29, 2019 at 12:33AM

5 Massively Important AI Features In Time Tracking Applications

Artificial intelligence has transformed the future of many industries. One area that has been under- investigated is the use of AI in time tracking technology. AI is Fundamentally Changing the Future of Time Tracking Technology A time tracking software is a worthy investment irrespective of the size of your organization. It generates accurate reports based on the amount of time your team spends working on a task. These reports facilitate planning of budgets for upcoming projects. Many AI tools are changing the nature of time management. MindSync AI discussed the pivotal role of AI in time management in a Medium article . Why is time tracking software important? It helps with keeping track of the hours being invested on a given task. This sheds light on the timeline for the overall project. It also helps in determining the productivity levels of the employees. This is one of the many reasons that AI is driving workplace productivity . But how can employers utilize it effectively? ...