
Single-Point of Failure
Failure is inevitable. Failure is a requirement for learning. Embrace failure, because it’s going to happen. In fact, the failure is often systemic and is generally caused by or impacted by a much larger subset of consequences. Most institutions have fostered a culture that sees failure as inherently bad. However, they are essential to growth, and recognizing their value can be key to future success. We learn from the valley, not the peak. Anatomy of a failure: It’s safe to say that all failu...

Dependencies
We all see them in different ways. Natural system dependencies refer to relationships and interactions in ecosystems and the environment. They usually play a major role in circular systems, like soil health, the nutrient cycle, or the hydrologic cycle. Similar to nature, dependencies exist in software and technology too. They’re critical in development and operation, as they determine how different parts of the system interact and function together. Examples include libraries, frameworks, dev...

Models & The Future of Construction
Construction and technology aren’t aligned. Technology is undergoing digital innovation while construction is facing supply chain issues and a labor shortage. Tech is automating while construction is scurrying. So how do they converge? Models.Construction TrendsConstruction market insights continue to follow the basic theme of uncertainty. The industry continues to face cost escalations, material lead time uncertainty, and most importantly, labor shortages which are leading to unprecedented b...
Persevering along the path of regenerative leadership, open innovation, and dynamic team building. Aspiring to make the words make sense.

Single-Point of Failure
Failure is inevitable. Failure is a requirement for learning. Embrace failure, because it’s going to happen. In fact, the failure is often systemic and is generally caused by or impacted by a much larger subset of consequences. Most institutions have fostered a culture that sees failure as inherently bad. However, they are essential to growth, and recognizing their value can be key to future success. We learn from the valley, not the peak. Anatomy of a failure: It’s safe to say that all failu...

Dependencies
We all see them in different ways. Natural system dependencies refer to relationships and interactions in ecosystems and the environment. They usually play a major role in circular systems, like soil health, the nutrient cycle, or the hydrologic cycle. Similar to nature, dependencies exist in software and technology too. They’re critical in development and operation, as they determine how different parts of the system interact and function together. Examples include libraries, frameworks, dev...

Models & The Future of Construction
Construction and technology aren’t aligned. Technology is undergoing digital innovation while construction is facing supply chain issues and a labor shortage. Tech is automating while construction is scurrying. So how do they converge? Models.Construction TrendsConstruction market insights continue to follow the basic theme of uncertainty. The industry continues to face cost escalations, material lead time uncertainty, and most importantly, labor shortages which are leading to unprecedented b...
Persevering along the path of regenerative leadership, open innovation, and dynamic team building. Aspiring to make the words make sense.

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The reposted articles, questionable data graphs, and disparate discussions surrounding return-to-work have turned me cranky. It could be the pollen, too.
If not articles, where should we turn?
Start with your gut. Dig in, then dig in again, then again. If it doesn't have qualified sources, a wide sample size, and a proven collection process - move on.
There are people who write. (platforms/influencers) There are writers. (bloggers) There are reporters. (not responsible, a team of fact-checkers) There are journalists. (responsible) There are researchers. (paid by grants)
This isn't a hierarchy of merit. In fact, there are influencers who shit-post with far more transparency than the researchers who are hiding behind their veil.
In fact, some researchers get paid to point out things that drive a particular narrative. Some of those research grants include a publication to very well-respected media platforms. Those platforms have reporters and journalists that are responsible for citing sources. Hundreds of years of reputation will have us believe the credibility of the source.
My point is this; a dose of common sense behind vetting the source goes a long way. If you're reading from an industry publication that relies on ad sales from that publication, it might not be appropriate to publish information that causes harm to revenue. Conversely, if you're reading a publication that has a grant-writing arm and a very close relationship with a university you should feel compelled to ask more questions.
AI is getting really, really good at drawing correlations between bullshit and source. Meanwhile, the media has people in a panic about it.
Interesting times we're living in.
DYOR. If you say TLDR, you might want to start exercising that mental muscle again. The fog will set in before it lifts.
WAGMI.
#TotalTenancy™ #OrionGrowth
The reposted articles, questionable data graphs, and disparate discussions surrounding return-to-work have turned me cranky. It could be the pollen, too.
If not articles, where should we turn?
Start with your gut. Dig in, then dig in again, then again. If it doesn't have qualified sources, a wide sample size, and a proven collection process - move on.
There are people who write. (platforms/influencers) There are writers. (bloggers) There are reporters. (not responsible, a team of fact-checkers) There are journalists. (responsible) There are researchers. (paid by grants)
This isn't a hierarchy of merit. In fact, there are influencers who shit-post with far more transparency than the researchers who are hiding behind their veil.
In fact, some researchers get paid to point out things that drive a particular narrative. Some of those research grants include a publication to very well-respected media platforms. Those platforms have reporters and journalists that are responsible for citing sources. Hundreds of years of reputation will have us believe the credibility of the source.
My point is this; a dose of common sense behind vetting the source goes a long way. If you're reading from an industry publication that relies on ad sales from that publication, it might not be appropriate to publish information that causes harm to revenue. Conversely, if you're reading a publication that has a grant-writing arm and a very close relationship with a university you should feel compelled to ask more questions.
AI is getting really, really good at drawing correlations between bullshit and source. Meanwhile, the media has people in a panic about it.
Interesting times we're living in.
DYOR. If you say TLDR, you might want to start exercising that mental muscle again. The fog will set in before it lifts.
WAGMI.
#TotalTenancy™ #OrionGrowth
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