Based Sigma Quotes

Investors should be skeptical of history-based models. Constructed by a nerdy-sounding priesthood using esoteric terms such as beta, gamma, sigma and the like, these models tend to look impressive. Too often, though, investors forget to examine the assumptions behind the models. Beware of geeks bearing formulas.

All right,” he said. “Since you asked, Webmind is an emergent quantum-computational system based on a stable null-sigma condensate that resists decoherence thanks to constructive feedback loops.” He turned to the blackboard, scooped up a piece of chalk, and began writing rapidly. “See,” he said, “using Dirac notation, if we let Webmind’s default conscious state be represented by a bra of phi and a ket of psi, then this would be the einselected basis.” His chalk flew across the board again. “Now, we can get the vector basis of the total combined Webmind alpha-state consciousness...

to second guess your preferences and tastes based upon how others may interpret them is to unduly deny yourself well-earned freedom.

I am a collector of bread crumbs, all those bits of science and history that I mash and knead together to build my stories. And now that the bread is baked and served, my goal here is to try to separate those slices of the story that are based on substantial fact from those that are pure fabrication.

all of my bases covered. You assume responsibility for violations of local, regional, global, intrasystem, interstellar, intergalactic and interdimensional law, civil, religious, or military. I’m also not responsible for loss of life and limb, property damage, domestic disputes, engineered biological human dieback, nuclear fallout, violations of causality, cascading sub-quantum misalignment, hastening of cosmic heat death, rampant AI, accelerated climate change, geomagnetic reversal, vacuum metastability events, total existence failure, gray goo scenario, red goo scenario--that’s a nasty one--tectonic inversion--

for ordinary African Americans, coping with hegemonic gender ideology can be so demanding that generating alternatives can seem virtually impossible. But the importance of this task cannot be underestimated because African American survival may depend on it. One important task lies in rejecting dominant gender ideology, in particular, its use of the thesis of "weak men, strong women" as a source of Black social control. Because hegemonic masculinity equates strength with dominance, an antiracist politics must challenge this connection. Within this project, the fundamental premise of any progressive Black gender ideology is that it cannot be based on someone else's subordination. This means that definitions of Black masculinity that rely on the subordination of Black women, poor people, children, LGBT people, or anyone else become invalid. Definitions of Black femininity that do not challenge relations of sexism, economic exploitation, age, heterosexism, and other markers of social inequality also become suspect. Rather than trying to be strong within existing gender ideology, the task lies in rejecting a gender ideology that measures masculinity and femininity using gendered definitions of strength. In this endeavor to craft a more progressive Black gender ideology, African American men and women face similar yet distinctive challenges. The task for African American men lies in developing new definitions of masculinity that uncouple strength from its close ties to male dominance. Good Black men need not rule their families with an iron hand, assault one another, pursue endless booty calls, and always seem to be "in control" in order to avoid the sigma of weakness. The task for African American women lies in redefining strength in ways that simultaneously enable Black women to reclaim historical sources of female power, yet reject the exploitation that has often accompanied that power. Good Black women need not be stoic mules whose primary release from work and responsibility comes once a week on Sunday morning. New definitions of strength would enable Black men and women alike to be seen as needing and worthy of one another's help and support without being stigmatized as either overly weak or unnaturally strong.

Correlation is enough,” 2 then-Wired editor in chief Chris Anderson famously declared in 2008. We can, he implied, solve innovation problems by the sheer brute force of the data deluge. Ever since Michael Lewis chronicled the Oakland A’s unlikely success in Moneyball (who knew on-base percentage was a better indicator of offensive success than batting averages?), organizations have been trying to find the Moneyball equivalent of customer data that will lead to innovation success. Yet few have. Innovation processes in many companies are structured and disciplined, and the talent applying them is highly skilled. There are careful stage-gates, rapid iterations, and checks and balances built into most organizations’ innovation processes. Risks are carefully calculated and mitigated. Principles like six-sigma have pervaded innovation process design so we now have precise measurements and strict requirements for new products to meet at each stage of their development. From the outside, it looks like companies have mastered an awfully precise, scientific process. But for most of them, innovation is still painfully hit or miss. And worst of all, all this activity gives the illusion of progress, without actually causing it. Companies are spending exponentially more to achieve only modest incremental innovations while completely missing the mark on the breakthrough innovations critical to long-term, sustainable growth. As Yogi Berra famously observed: “We’re lost, but we’re making good time!” What’s gone so wrong? Here is the fundamental problem: the masses and masses of data that companies accumulate are not organized in a way that enables them to reliably predict which ideas will succeed. Instead the data is along the lines of “this customer looks like that one,” “this product has similar performance attributes as that one,” and “these people behaved the same way in the past,” or “68 percent of customers say they prefer version A over version B.” None of that data, however, actually tells you why customers make the choices that they do.

The first video game based on a movie or television series is probably Mike Mayfield’s 1971 text-only game Star Trek, a strategy game about commanding the USS Enterprise against the Klingons. But Mayfield created the game as a hobbyist on a Sigma 7 minicomputer, a device that required as much space as several refrigerators. It hardly seemed to be at risk of becoming a commercial product.

Investors should be skeptical of history-based models. Constructed by a nerdy-sounding priesthood using esoteric terms such as beta, gamma, sigma and the like, these models tend to look impressive. Too often, though, investors forget to examine the assumptions behind the symbols. Our advice: Beware of geeks bearing formulas.

Differential factor. When you strategically develop your value-based résumé, you will define the differential factor. The differential factor represents highly valuable skills, qualifications, and other employment assets that set you apart from other qualified candidates, that make you STAND OUT. Oftentimes, the differential factor is what tips the hiring scale in your favor! For instance, if you have an industry-wide reputation, your reputation might be the differential factor. If you are a black belt in Six Sigma, that may constitute the differential factor. A number of years ago, I coached a chief financial officer who worked for a legendary golf professional. Having worked for a famous golf professional was the differential factor because many hiring managers found it unique and intriguing to interview (and hire) someone who worked for a celebrity. Perhaps you are bilingual; this may represent the differential factor. When you identify the differential factor, you’ll provide your job campaign with a distinct advantage in landing a job quickly in the toughest of job markets.

THE NORTHERN SEA ROUTE AND THE NEXT COLD WAR The Arctic is heating up—and not just in temperature and thawing ice. The construction of new bases and the restoration of old Soviet installations along Russia’s northern coasts is as described in the book. The stated explanation for this build-up is that Russia intends to better guard its coasts as the Arctic ice melts, to help protect the Northern Sea Route—that shortcut from the Pacific to the Atlantic. But Russia is also seeking to push its territorial boundary farther into the Arctic, staking flags, doing geological tests—and for good reason. The Arctic is a vast storehouse of rare minerals, oil, and natural gas, not to mention being strategically important. Even with the war in Ukraine straining resources, Russia has not slowed its expansion in the north. That alone highlights the importance that Russia places upon its ambitions in the Arctic. The entire region is an icy powder keg waiting for a match. For a more comprehensive look at this subject, I recommend these two articles: “The Ice Curtain: Russia’s Arctic Military Presence” by Heather A. Conley, Matthew Melino, and Jon B. Alterman (from Center for Strategic & International Studies) “Russia’s Military Posture in the Arctic” by Mathieu Boulègue (Chatham House, The Royal Institute of International Affairs)

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