I’m a skeptic, satiated by large raw data sets, analysis & inference

Speak to anyone who knows me, and they will likely characterize me as a skeptical, pessimistic, anxious, intense, and persistent individual.

If someone sends me a spreadsheet and then calls me to walk me through the numbers my immediate assumption is that the purpose of the follow-up call is to shape my perception. If someone provides me a composite of the figures without the raw data, visible formulas and documented data sources, I also assume manipulation. With this said I am a realist, and I am willing to accept manipulation, but I am honest about acceptance rather than convincing myself otherwise. I am just wired to be vigilant.

For me the glass being half-full represents a lack of fear of it being half-empty, I am motivated to refill the glass by the reality that it is half-empty and what is likely an unhealthy fear of dying from dehydration, but it works for me. From my perspective, the half-empty glass is not depressing or a demotivator it is a potential reality. Now don’t get me wrong, I know there is water in the glass and death is not imminent, but I am incredibly aware and grateful for the opportunity to find a water source to refill my glass.

I spend my days listening to dozens of pitches, where I need to focus, why I need to do x or y, what I am missing out on by not doing x or y, etc… The pitches almost always start with a half-full perspective, selling the positive but it’s amazing how when it doesn’t go the way the pitchman expects the approach shifts to the half-empty perspective, relying on FOMO (fear of missing out) as a last ditch attempt at motivation.

Now let’s face it, no one likes to miss out, but as a realist, I recognize that I can’t do everything, so decisions are required. Forks in the road appear every minute of every hour of every day, and I am greeted at each fork by a host espousing the merits of their righteous path. For someone like me, these decisions need to be my own, driven by raw data (as raw as it can be), analysis and inference. I try to check the near-term outcomes at the door and focus on and visualizing the long-term strategic outcomes, the vision. In my mind tactical activities require little to no thought, they just happen. For example, a visionary looking for a more sustainable model for garbage disposal doesn’t stop taking their garbage to the curb every Monday and Thursday. Accepting what is and executing without much thought IMO avoids paralyzation and makes room in your life and brain for what will be.

So now we arrive at the origin of this blog. I have to make personal and professional bets on where the market is going, what is most relevant and where I should focus my time. Of course, I have a subjective opinion on where I believe the market is going but I like to validate my opinions with some data and with so many people, organizations and news outlets selling their version of the future the question becomes, how do I validate my opinions objectively. Social chatter is meaningful to me as is sentiment analysis. The great news is with a little Python, the use of some APIs and the ELK stack it’s pretty easy to collect data from social media platforms, store it, analyze it and draw some conclusions. One such question that is very relevant to me is what technologies and what OEMs (original equipment manufacturers) have mindshare? I’ve been pulling social media data for a few weeks using #hashtags to see what techs and OEMs have the most buzz; I have also been doing sentiment analysis to see if the buzz is good or bad.

Here is my view of the market using social media buzz to determine mindshare (it actually feels pretty on the money):

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