Kekius Maximus ✓
@Kekius_Sage · joined 08 Dec 2024
Physics • Math • Cosmos • Nature • Science in all forms. for work DM my telegram @kekius_sage
128 461Followers
695Following
5 597Posts total
5.6MViews on collected posts
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About 400 photons in every cubic centimeter of space are 13.8 billion years old.
They are the ancient light left over from when matter and antimatter annihilated each other at the beginning of time. That primordial flash never truly faded, it simply stretched with the expanding
7.2K views · 194 likes
· 26 reposts · 32 replies
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Higher education is losing its race against AI.
A report from MIT’s AI committee reveals AI can now credibly complete nearly every undergraduate assignment: From essays and math proofs to scientific problem sets and coding.
As the report states, AI “can produce credible https:/
6.6K views · 105 likes
· 11 reposts · 40 replies
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There's a detail in the story of quantum mechanics I love because it's so human.
John Clauser, the man who ran the first real experiment testing whether Einstein was right about reality, wanted Einstein to win.
In the early 1970s, Clauser built a machine in a university https:/
11.8K views · 367 likes
· 51 reposts · 57 replies
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@Kekius_Sage I’m in the livestock farm business, instead of crop. All types of farming is a dying occupation, declining from almost 7 million farms almost a hundred years ago to under 2 million farms now in the USA. It’s a very challenging way to make a good living. Inexperien
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@Kekius_Sage A micro bio-friendly farm. Livestock and chickens for fertilizer. I like small vs Corporate. My community vs the World! I agree, it ain't sitting on the front porch, but there's lots of stopping to smell the flowers (the compost and Livestock too)!
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@Kekius_Sage Kekius, this is a truly fantastic observation and analysis. I believe everyone who is still employed would benefit greatly from reading it.
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I meet a lot of people who don’t like their jobs, and when I ask them about their plan B they almost always say something like: "I'll just quit and become a farmer."
When I feel like messing with them a bit, I just ask: “Where are you getting your dirt?”
If that stumps them, I
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@Kekius_Sage Consolidated this whole roadmap into a single note for easier reference. Save it 👉 https://t.co/MQU6LI10lV https://t.co/qJrtJXw24Q
30.2K views · 570 likes
· 54 reposts · 10 replies
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If this sparked your interest, follow me for more practical math, physics and cosmic insights, plus the occasional dad joke.
Repost to share with anyone learning science the hard way.
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34. Research
Proofs + modeling + abstraction.
Knowing why matters more than results.
35. Industry reality
You don’t use all math daily.
But weak foundations show up immediately.
80.1K views · 669 likes
· 22 reposts · 12 replies
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32. Computer Graphics
Linear algebra + geometry + trig.
Everything is transformations.
33. Control Systems
Linear algebra + eigenvalues + calculus.
Stability is the core question.
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· 16 reposts · 10 replies
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30. Physics
Calculus, linear algebra, differential equations.
Geometry and symmetry matter more than formulas.
31. Economics
Multivariable calculus + optimization.
Models live or die by assumptions.
80.6K views · 622 likes
· 23 reposts · 5 replies
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28. Data Science
Statistics + linear algebra + basic calculus.
Focus on assumptions, not tools.
29. Finance
Calculus + probability + linear systems.
Rates of change and risk dominate.
83.2K views · 672 likes
· 30 reposts · 6 replies
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Foundation done. Applications start here:
26. Engineering
Calculus + linear algebra + constraints.
Used for modeling, optimization, and stability.
27. Machine Learning
Linear algebra + probability + optimization.
Everything else is implementation detail.
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23. Partial derivatives isolate influence. Gradients show direction, not answers.
24. Learn constrained problems explicitly. Unconstrained math is rarely real.
25. Only after this, study probability and statistics. Uncertainty makes sense once change and structure do.
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21. Eigenvalues describe stability and long-term behavior. They’re ideas, not calculations.
22. Multivariable calculus reflects reality. Most systems depend on more than one input.v
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17. Study logic and basic proofs next. This sharpens reasoning and prevents hidden assumptions.
18. Proofs train discipline, not elegance. Follow arguments line by line until nothing feels magical.
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19. Linear algebra should come early, not late. It explains structure in many-variable systems.
20. Think of matrices as transformations, not tables. This mental shift matters.
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15. Calculus II is hard because it’s technical. Don’t memorize tricks, learn when each tool applies.
16. Learn limits conceptually, not mechanically. They explain why calculus works at all.
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13. Use calculus to model behavior, not to compute expressions. Most real problems stop at setup.
14. Integration is accumulation. Area is just one example. Always ask: “What is being added up?”
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11. Calculus starts with derivatives as rates of change. Forget formulas until the idea is clear.
12. A derivative answers: “What happens if I change this slightly”? Practice asking that question constantly.
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7. Trigonometry is about angles and rotation, not triangles. Focus on sine and cosine as functions.
8. Learn trig through the unit circle, not identities. If you can draw it, you understand it.
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9. Precalculus connects functions, trig, and algebra. Its job is to make calculus predictable.
10. If precalc feels unclear, stop and fix it. Calculus punishes weak foundations.
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3. Learn equations as cause–effect relations. Don’t solve, understand what changes what.
4. Geometry comes next. Learn how shapes, distances, and angles behave. This trains intuition that formulas alone won’t give.
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5. Treat geometry visually and algebraically at the same time. Translate pictures into equations and back.
6. Introduce vectors early. They unify algebra and geometry. Don’t delay this step.
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The roadmap has two parts.
The first 25 threads follow this diagram:
Algebra → Geometry → Trigonometry → Precalculus → Calculus → Linear Algebra & Multivariable Calculus
After that, we map this math to real careers. Make sure to bookmark, you’ll need it later.
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· 151 reposts · 39 replies
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1. Start with algebra. Learn to manipulate symbols cleanly. If you struggle here, everything later becomes noise.
2. Algebra is about rules and structure, not calculation speed. Slow down until each step feels obvious.
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· 62 reposts · 28 replies
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I’m 54, a physicist, have spent decades using mathematics to study the universe, solve problems, and build things.
If your work touches numbers, now or in the future, and you want to learn math properly, this thread shows a from-the-ground-up math you’ll actually need:
3.1M views · 25K likes
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Against accounts of the same size
7 posts from the last 90 days, next to the 100K–1M follower range. shown far beyond its own audience, and the audience reacts.
Median views6 625this account5 774median for 100K–1M
Reach, %5.16%this account1.51%median for 100K–1M
Engagement, %2.99%this account0.97%median for 100K–1M
| Metric | This account | Median for 100K–1M | Ratio |
|---|---|---|---|
| Median views per post | 6 625 | 5 774 | 1.15× |
| Reach (views ÷ followers) | 5.16% | 1.51% | 3.42× |
| Engagement rate | 2.99% | 0.97% | 3.07× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
83.2K23 Jan
80.6K
77.8K
80.1K
80.7K
30.2K24 Jan
8.2K8 Feb
33.4K29 Aug
340
316
669
11.8K30 Aug
6.6K31 Aug
7.2K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.85%23 Jan
0.81%
0.73%
0.88%
1.82%
2.11%24 Jan
1.03%8 Feb
2.94%29 Aug
3.53%
2.53%
2.99%
4.07%30 Aug
2.42%31 Aug
3.55%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.97%.
What the audience does
Likes47.3%44 930 in total
Reposts4.3%4 086 in total
Replies1.7%1 655 in total
Quotes0.4%368 in total
Bookmarks46.2%43 906 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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