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Such is the innate aspect of data gathering and analysis. The more (relevant) data, the better. (What determines relevancy is not discussed here for brevity.)

by glitch 12y ago

Such is the innate aspect of data gathering and analysis. The more (relevant) data, the better. (What determines relevancy is not discussed here for brevity.) Partial data will only serve as a distraction if you allow it to. EDIT: If you falsely present partial data as important, yes, then it very well probably is distraction because by you are facilitating it to be a distraction by virtue of presenting thusly. As consciousness, you should try to be aware of inappropriately disproportionately presented data expressed by others in your environment and to not let it serve as a distraction to you as an observer. For example, Fox News and how it goes about its interactions displaying information (true information, false information, incomplete information, etc.) with the masses is a popular subject for case study in this type of scenario. If you are aware that it is an incomplete picture, then you should be fine. Again, the more data, the better. Be aware of limitations and incomplete pictures. Be aware of context. Same old story of much everything in life. Always be exploring further. Always keep on questioning what's happening in the environment and the universe. Ignorance is bad. Of course, balance is needed. Pros are something that exist. Cons are something that exist. Things exist. Actions exist. Interactions between things and other things with actions exist. Systems of interaction exist. It's turtles all the way down. But yes, based on history, most humans fail at comprehending their own basic existence, their interactions with others, and anything else contained within their neck of the universe. Rather depressing actually. Nothing new here. EDIT: As far as what belongs or doesn't belong on a dashboard, that would take a long time for me to discuss. In this particular example provided in the original posting, yes, it has various flaws. Not discussing that. Also, with regard to "the more data, the better", yes, irrelevant data has negative consequences and must be dealt with accordingly. Of course, the a perspective exists where you should try to identify irrelevant data and not gather it to begin with. Conversely, there is a perspective where you should gather it all so as not to presumptuously exclude and that the data itself will tell you what is relevant and irrelevant during analysis. Both approaches express certain positive merits and also negative qualities. Identifying what is irrelevant and what is relevant has its own intricacies which are not discussed here in any relatively significant capacity.

normloman 12y ago
Partial data will serve as a distraction if you present it as important. I'm saying this doesn't belong on a dashboard. Granted, they just did this for fun. The more data the better - That's not true. Some data is better than others. Some data is poor quality. Some is unimportant.
- glitch 12y ago
  > Partial data will serve as a distraction if you present it as important. If you ascribe to the importance of its display, then you are allowing it to be a distraction as an observer of the display. But, yes, in practice I agree that most humans are foolish and will allow it to serve as a distraction. > I'm saying this doesn't belong on a dashboard. Granted, they just did this for fun. Maybe or maybe not. There are definitely good reasons for removing it from the dashboard. I agree that it is not presented well. Outright permanent removal of the vague notion and concept of this particular data and its relevancy is a different matter. Exploring alternative presentations, getting more sensors and more relevant data, etc. (This is of course stating the obvious.) But I'm not really commenting on that at this time. > The more data the better - That's not true. Some data is better than others. Some data is poor quality. Some is unimportant. This is often debated with vigor on both sides (okay, there's actually a gradient of n-dimensional in-betweens, not explicit sides) of the argument. (Collect it all and figure out relevancy from analysis, then scale back data collection where it was determined to be irrelevant. Be presumptuous based on experience and collect only what you believe is relevant. Expand and contract collection periodically as something in-between. The list goes on and on and on and on of possible configurations and approaches.) Of course some data is better than others. Some data is more relevant than other data for a given operational context. And, yes of course, besides just relevancy, fundamental things like accuracy, precision, and error are all aspects of data collection and analysis. But, back on topic, both sides of the argument have merit. The reality is, like all things in life, there is a pragmatic balance point. (Not necessarily a point, though. In reality, usually an n-dimensional volume, but that's another topic.)

by glitch 12y ago

normloman 12y ago

Partial data will serve as a distraction if you present it as important. I'm saying this doesn't belong on a dashboard. Granted, they just did this for fun. The more data the better - That's not true. Some data is better than others. Some data is poor quality. Some is unimportant.

glitch 12y ago
> Partial data will serve as a distraction if you present it as important. If you ascribe to the importance of its display, then you are allowing it to be a distraction as an observer of the display. But, yes, in practice I agree that most humans are foolish and will allow it to serve as a distraction. > I'm saying this doesn't belong on a dashboard. Granted, they just did this for fun. Maybe or maybe not. There are definitely good reasons for removing it from the dashboard. I agree that it is not presented well. Outright permanent removal of the vague notion and concept of this particular data and its relevancy is a different matter. Exploring alternative presentations, getting more sensors and more relevant data, etc. (This is of course stating the obvious.) But I'm not really commenting on that at this time. > The more data the better - That's not true. Some data is better than others. Some data is poor quality. Some is unimportant. This is often debated with vigor on both sides (okay, there's actually a gradient of n-dimensional in-betweens, not explicit sides) of the argument. (Collect it all and figure out relevancy from analysis, then scale back data collection where it was determined to be irrelevant. Be presumptuous based on experience and collect only what you believe is relevant. Expand and contract collection periodically as something in-between. The list goes on and on and on and on of possible configurations and approaches.) Of course some data is better than others. Some data is more relevant than other data for a given operational context. And, yes of course, besides just relevancy, fundamental things like accuracy, precision, and error are all aspects of data collection and analysis. But, back on topic, both sides of the argument have merit. The reality is, like all things in life, there is a pragmatic balance point. (Not necessarily a point, though. In reality, usually an n-dimensional volume, but that's another topic.)