Do You Data Responsibly?

This start your day with a coach with your host, Sean Butner. Welcome to Happy Monday. Just got off a coaching call and so took a couple minutes before getting started at the normal time. So I hope you guys had a great weekend. I hope everyone's well. And I wanted to talk to you about how to data responsibilities because, you know, in a world where we all live online, there's tons and tons and tons of information and there's not good or bad information, but there is quality information. And you know, if you can find quality sources and share them and talk to them, you make better decisions, you become more influential, you are able to have a greater impact in the world. And so many people I feel in today's world just kind of one off spout very specific stats to try to prove a point and win an argument with the other side. And it's such a problem, you know, because there's misinformation, there's ways that people manipulate data to try to seem more informed, try to seem more influential. And that's just not the case. So the whole point of this video is just to have a quick conversation on how to data responsibly. Because, you know, the other thing is with all the information out there's so it can be really time consuming to go through each piece of information that comes your way, which is why we kind of have these gut reactions that hey, this headline, this stat agrees with what I feel and I believe, but it's not maybe necessarily the truth. But you know, those shortcuts keep can keep you from going crazy too. So it's a balance. So, you know, there's too much time, there's too much information. It's kind of overwhelming, you know, and a lot of people will just trust people intuitively that kind of share their values. And something that I'm constantly talking about is how can you know, we be sure that this is true. A lot of times having that open conversation, like not being attached to being right or wrong with just exploring, you know, can be super, super helpful as you move forward with your data. So three quick things to think about is one, have an open discussion, ask questions and don't attribute your feelings or what you believe the other person believes into the conversation and talking about this. Let me step back before going into, you know, have that narrative stuff, but there's a somebody that posted a misleading stat on social media and just asked a bunch of questions and it kind of just emerged that the point that he was trying to make was the exact opposite of what the data he was referencing actually showed, but it was, you know, looked at one stat instead of the whole more holistic view. And that really hurt him. So it just was really misleading. So I got. And I realized I feel a lot more passionately about this stuff than I realized. So, okay, the data responsible, number one, have an open discussion, don't be tied to outcomes. Number two, take a look at the validity of the source. So where does it come from? How might the data be biased? And when I say bias in this, it's, you know, just what is omitted? What's, you know, from the sample? Is the sample size big enough? Are the ways that it's being presented to you? Like if you have a profit chart is for a company, is all the profit in chronological order or is it shifted around to kind of tell a different story? As an example there, you know, what could the data be missing that might make it even stronger? You know, those types of like just basic, like, let me get an understanding of what this source is. And you know, the third thing to really think about as you go forward is like, what is the narrative that this data is trying to tell? And could you make an argument for a different narrative? You know, I, I personally believe that we can have many different truths. So you could say that I'm trying to think of a good example off the top of my head. But, you know, the data says this for this narrative and this for this narrative. The same piece of data that usually comes down to your values and how you're interpreting it. And so that's very important to realize that you might have a personal bias that's being triggered and to acknowledge it and then kind of figure out like, what is really true. So here's my do this quick video for you guys. I hope that it gets you thinking a little bit more about these data sources and facts and memes and things that people post and you have that like, gut reaction to. Because I really think the world would be a much better place if people would stop and one actually read the stuff that they're posting. You know, make sure that they stand by it, to make sure that it, you know, if they're trying to make a point, that it actually supports that point. But I also, you know, think it would help slow down some of misinformation and stuff like that out there. So hopefully you found this informative and fun. I think there'll be a lot more from me on this subject as I'm getting my. Gathering my thoughts. And by any means, I don't have this all figured out. This is but just something that, you know, from being very analytical, from my career in engineering, really kind of fascinates me. So I'll be sharing that more. Hope you guys like it. I'll talk to you guys later. Hope you enjoyed this and see you tomorrow, guys.