"The new answer to a 77-year-old problem"

😭

11 BIG IDEAS OF PHYSICS

via @BlasMoros of @LTCWRK

(Thread 👇)

1. Galilean Relativity

We can never fully grasp, define, or understand a system we are part of.

“Distance provides perspective” and wisdom in life is often about perspective.

2. The Laws of Thermodynamics

The study of the large-scale behavior of systems exchanging work and heat with connected systems or their environment.

- The Transitive Law

- The Law of Conservation

- The “Contrast Advantage” Law

- The “Absolute Zero” Law

3. Newton’s Laws of Motion

Describe how objects in the world move and react to forces.

- The Inertia Law: An object at rest, stays at rest

- Force = Mass * Acceleration (F = ma)

- The Law of Reciprocity: For every action there is an equal and opposite reaction

4. Complexity

A complex system exhibits emergent behavior due to the collective interaction of many individual agents according to simple rules.

Complex systems are sensitive to original conditions, influenced by feedback loops, and buffeted by random outside variables.

Solara Active Pharma Science con call was today at 3:30 PM.

@Gautam__Baid @unseenvalue @drprashantmish6 @rdkriplani

Here are the key takeaways of the call. 👇🧵

Business Updates:

• Speed of filing products has been increased. Filed 5 new DMFs – 3 in US and 2 in EU
• Currently ramping up the facility in VIZAG with strong customer attraction, and will be commercialized as planned in Q3
• VIZAG EBIDTA growth guidance changed to 40%+ YoY

• Growth Driver: Broad based growth in other products and Vizag.

• PLI: Company has filed Mysore for PLI scheme for 1 molecule.

• Technology: Company is about to complete its 2 out of 3 technology, which will enhance efficiency for Solara.

Demand in some of sectors is moderated:
• Mgmt expected moderation in demand, hence company has taken necessary steps for those products.

Gross Margins:
• It was down a bit due to product mix however.

Fiscal 2022:
• Solara has grown in regulated market space.
• Vizag will kick in. CRAMS will support tailwind.
• Most of the CRAMS is commercial API.

• Most of the product is expected to be stable both in term of demand and price in the coming few quarter

"You don't see radio changing gradually and suddenly become radar. #Darwin's theory doesn't work for #technology, and we have to make a new observation."

- W Brian Arthur at SFI today

#evolution #innovation #invention

"Novel technologies are constructed from existing technologies. These offer themselves as components for the construction of further technologies."

- W Brian Arthur at SFI today

#evolution #innovation #invention #technology #engineering #design

Unlike the two-parent #inheritance typical to (but not ubiquitous among) #complex organisms, #technology inherits features from n parents - a "vast ancestral #network" more like horizontal gene transfer networks in #bacteria.

W Brian Arthur on sumulating #invention on a chip:

Does #Archaeology support the Theory of the #AdjacentPossible - that #innovation is combinatorial, persistent, cumulative?

In short, yes. SFI's Tim Kohler on the #Paleolithic data of #technology #evolution & the #prehistory of the infamous "hockeystick" curve:

😉 @SAPIENS_org

#Economist Roger Koppl of @SyracuseU presents a model for the #AdjacentPossible at SFI.

Output = "a combinatorial explosion" or #singularity, albeit one that arguably occurred millions of years ago, or in the distant future (since the model doesn't specify t = 0):

@engexplain @nntaleb 1/10
Science is assumed to be “evidence-based” but that term alone doesn’t mean much. What constitutes good evidence? How is evidence being used? Is it supporting or refuting a hypothesis? Was the hypothesis and experimental design predetermined or found ex post facto?

@nntaleb 2/10
The reality is you can find “evidence” for almost any narrative. Limit the sample size, cherry-pick studies, etc. Systematic reviews, meta analyses, and randomized controlled trials are all susceptible to selective interpretation/narrative fallacy.

@nntaleb 3/10
At the heart of the problem is the over-reliance on simplistic statistical techniques that do little more than quantify 2 things moving together.

@nntaleb 4/10
Take Pearson’s correlation, based on covariance. Variation can increase simultaneously across 2 variables for countless reasons, most of which are spurious. Yet this simple notion of “causality” undergirds much of scientific literature.

@nntaleb 5/10
Information-theoretic (entropy based) approaches on the other hand can assess *general* measures of dependence. Rather than some specialized (linear) view based on concurrent variation, entropy encompasses the amount of information contained in and between variables.