blog – josuamarcelc

“Surrounded by Idiots” by Thomas Erikson

“Surrounded by Idiots” by Thomas Erikson is a communication and behavior guide that explains why people think and act so differently, and how to adapt your approach to work better with them.

Core Concept

Erikson categorizes personalities into four color types, based on behavior patterns and communication preferences:

Red – Dominant & Direct
- Action-oriented, decisive, competitive.
- Strength: Gets things done quickly.
- Weakness: Can be impatient or blunt.
Yellow – Social & Optimistic
- Creative, talkative, inspiring.
- Strength: Brings enthusiasm and ideas.
- Weakness: Can be disorganized or unrealistic.
Green – Calm & Reliable
- Patient, loyal, good listener.
- Strength: Stable and dependable.
- Weakness: Resistant to change, avoids conflict.
Blue – Analytical & Cautious
- Detail-oriented, precise, logical.
- Strength: High accuracy, thorough work.
- Weakness: Overthinks, slow to decide.

Key Lessons

People’s actions often aren’t “stupid” — they’re just different from yours.
Understanding someone’s “color” helps you adjust your communication for better results.
Conflicts often come from mismatched communication styles, not bad intentions.
Adaptation is your responsibility if you want to be understood and persuasive.

Practical Use

Identify the personality type of others through observation.
Adjust your tone, pace, and level of detail based on their style.
Balance teams with different colors for stronger results.
Avoid stress triggers specific to each color to maintain good relationships.

Penjelasan Tentang Isolated Margin VS Cross Margin

🟦 Isolated Margin (contoh dengan saldo $100)

Wallet Balance (awal): $100
Buka posisi (Isolated 10 USDT): hanya 10 USDT dipakai sebagai margin.
Kalau posisi liquid:
- Hilang 10 USDT
- Sisa Wallet Balance = $90 (tidak ikut terpakai).

📌 Jadi kerugian terbatas pada modal posisi itu saja.

🟩 Cross Margin (contoh dengan saldo $100)

Wallet Balance (awal): $100
Buka posisi (Cross 10 USDT): margin ambil dari total saldo $100.
Kalau posisi rugi terus: sistem akan pakai saldo lain untuk backup.
Kalau kena liquid:
- Bisa hilang sampai $100 penuh (semua saldo).

📌 Jadi kerugian seluruh wallet bisa habis kalau market terus lawan arah.

🔑 Perbandingan Ringkas:

Mode	Modal Dipakai	Risiko	Jika Margin Call
Isolated	Hanya margin yang dipilih (misal 10 USDT)	Terbatas (posisi itu saja)	Hilang $10 → Sisa $90 aman
Cross	Semua saldo jadi margin	Besar (saldo semua bisa habis)	Bisa hilang $100 penuh

GO VS PHP VS Python Comparison 2025

Here’s the clear comparison first, then I can also make it into a flowchart like before.

1. Performance

Go 🏎 — Compiled, very fast, great for concurrency.
PHP 🚲 — Interpreted but optimized for web, fine for most CMS-driven sites.
Python 🚗 — Interpreted, slower than Go, but often “fast enough” with proper scaling; strong library support.

2. Concurrency

Go — Built-in concurrency primitives (goroutines, channels) → high scalability.
PHP — No built-in concurrency model (relies on web server).
Python — Async via asyncio, threading, multiprocessing — good, but less natural than Go.

3. Ecosystem

Go — APIs, DevOps, microservices, distributed systems.
PHP — Websites, CMS (WordPress, Drupal, Laravel).
Python — AI/ML, data science, automation, scripting, web (Django, Flask, FastAPI).

4. Learning Curve

Go — Simple syntax but strict typing, great for systems dev.
PHP — Easy for web beginners.
Python — Very beginner-friendly, clean syntax, huge community.

5. Hosting & Deployment

Go — Compiled binary, easy containerization.
PHP — Extremely easy to host anywhere.
Python — Requires virtualenv, pip, or containers; hosting is common but not as universal as PHP.

6. Best Use Cases

Go → High-performance APIs, microservices, concurrent systems.
PHP → Web CMS, e-commerce, quick site builds.
Python → AI, data analysis, scripting, backend APIs (FastAPI), automation.

💡 Rule of Thumb

Want maximum concurrency & speed? → Go
Want fast CMS-driven web development? → PHP
Want data science, AI, or general-purpose scripting? → Python

Complete Guide to HTTP Status & Error Codes

When browsing the web or building websites, you may encounter numbers like 404, 500, or 301. These numbers are HTTP status codes — short messages from a web server that tell your browser whether a request succeeded, failed, or needs more action.

This guide covers all major HTTP status codes, including informational, success, redirection, client errors, and server errors.

1. What Are HTTP Status Codes?

HTTP status codes are standardized responses from a web server when a browser or client requests a resource.
Each status code is three digits, and the first digit defines the response category:

1xx – Informational responses
2xx – Success responses
3xx – Redirection messages
4xx – Client error messages
5xx – Server error messages

2. Complete HTTP Status Code Table

Code	Category	Meaning	Example Use Case
100	Informational	Continue	Request received, client should continue
101	Informational	Switching Protocols	Server is switching protocols
102	Informational	Processing	WebDAV request still in process
103	Informational	Early Hints	Preloading resources before final response
200	Success	OK	Request succeeded (normal webpage load)
201	Success	Created	Resource successfully created
202	Success	Accepted	Request accepted but processing later
203	Success	Non-Authoritative Information	Metadata from another source
204	Success	No Content	Request succeeded, no content returned
205	Success	Reset Content	Client should reset form input
206	Success	Partial Content	Partial resource returned (range request)
300	Redirection	Multiple Choices	Multiple options for resource
301	Redirection	Moved Permanently	Resource moved to a new URL
302	Redirection	Found	Temporary redirect
303	Redirection	See Other	Redirect to a different resource
304	Redirection	Not Modified	Cached version is still valid
307	Redirection	Temporary Redirect	Same method redirect
308	Redirection	Permanent Redirect	Method preserved permanent redirect
400	Client Error	Bad Request	Invalid syntax in request
401	Client Error	Unauthorized	Authentication required
402	Client Error	Payment Required	Reserved for future use
403	Client Error	Forbidden	Access denied
404	Client Error	Not Found	Resource not found
405	Client Error	Method Not Allowed	HTTP method not supported
406	Client Error	Not Acceptable	Resource not available in acceptable format
407	Client Error	Proxy Authentication Required	Must authenticate with proxy
408	Client Error	Request Timeout	Server timed out waiting for request
409	Client Error	Conflict	Request conflicts with server state
410	Client Error	Gone	Resource permanently removed
411	Client Error	Length Required	Content-Length header missing
412	Client Error	Precondition Failed	Server precondition failed
413	Client Error	Payload Too Large	Request body too large
414	Client Error	URI Too Long	Request URL too long
415	Client Error	Unsupported Media Type	Format not supported
416	Client Error	Range Not Satisfiable	Invalid range request
417	Client Error	Expectation Failed	Expect header not met
418	Client Error	I’m a Teapot	Joke status from RFC 2324
422	Client Error	Unprocessable Entity	WebDAV request validation failed
425	Client Error	Too Early	Request too early to process
426	Client Error	Upgrade Required	Switch to a different protocol
428	Client Error	Precondition Required	Missing required conditions
429	Client Error	Too Many Requests	Rate-limiting triggered
431	Client Error	Request Header Fields Too Large	Headers too large
451	Client Error	Unavailable For Legal Reasons	Blocked due to legal demand
500	Server Error	Internal Server Error	Generic server failure
501	Server Error	Not Implemented	Functionality not supported
502	Server Error	Bad Gateway	Invalid response from upstream server
503	Server Error	Service Unavailable	Server temporarily overloaded
504	Server Error	Gateway Timeout	Upstream server timeout
505	Server Error	HTTP Version Not Supported	Unsupported HTTP version
506	Server Error	Variant Also Negotiates	Internal negotiation error
507	Server Error	Insufficient Storage	WebDAV storage full
508	Server Error	Loop Detected	Infinite loop detected
510	Server Error	Not Extended	Missing policy extensions
511	Server Error	Network Authentication Required	Authenticate to access network

3. Common HTTP Error Codes & Fixes

404 Not Found

Cause: The requested page doesn’t exist.
Fix: Check URL spelling or update broken links.

500 Internal Server Error

Cause: Generic server issue.
Fix: Check server logs for PHP or database errors.

503 Service Unavailable

Cause: Server is overloaded or down for maintenance.
Fix: Reduce traffic load or wait for maintenance to finish.

4. Summary

HTTP status codes are essential for understanding web server responses. Knowing them helps developers debug issues faster and optimize website performance.

Periods When To Make Money – A Strategic Guide

Timing is everything when it comes to financial success. Whether you’re investing, running a business, freelancing, or trading, understanding seasonal trends and economic cycles can dramatically improve your chances of making money.

Below is a comprehensive breakdown of the optimal periods for generating income, supported by both market behavior and historical patterns.

📊 Table: Best Times to Make Money by Activity

Activity Type	Optimal Period	Why It’s Profitable	Examples / Tips
Stock Trading	Q4 (Oct–Dec), Q1 (Jan)	Earnings season, holiday rallies, “January effect”	Focus on tech & retail in Q4, rebalancing in Jan
Retail Business	Q4 (Nov–Dec)	Holiday shopping spike (Black Friday, Xmas)	Offer discounts, bundle deals
Freelancing	Q1 (Jan–Mar)	New annual budgets, marketing refresh	Pitch businesses with fresh strategy offers
Real Estate	Spring–Summer (Mar–Aug)	High buying/selling activity, family relocations	List properties in March, invest early in Q1
eCommerce	Q4 (Nov–Dec), Q2 (May)	Holiday & mid-year seasonal sales	Focus on promo events like Cyber Monday, Summer Sales
Crypto Trading	Market Bull Runs (any)	Volatile upward cycles, often around halving events	Watch BTC halving cycles, sentiment indicators
YouTube / Content Creation	Q4 (Oct–Dec)	Highest ad revenue season (advertisers spend more)	Release ad-friendly, niche content in October
Tourism Business	Local peak seasons	High footfall, vacation demand	Research your region’s peak (e.g. summer or winter)
Agriculture / Farming	Harvest seasons (Sep–Nov)	Sell during peak yield, pricing advantage	Focus on timing distribution & transport logistics
Online Courses	Jan–Feb, Sep–Oct	Resolution & back-to-school momentum	Launch “New Year, New Skill” or “Back to School” themes

🧭 Economic Cycles to Consider

Phase	Best For	Characteristics
Expansion	Business startups, investment	Low interest rates, high consumer confidence
Peak	Selling assets, scaling up	Prices & employment are high, risk of inflation
Recession	Bargain investing, innovation	Asset prices drop, high fear = low cost entry
Recovery	Starting side hustles, rebranding	Opportunities bloom, new demand emerges

Below is a strategic yearly plan from 2025 to 2050 showing periods when it’s most advantageous to make money, based on:

Global economic cycles (expansion, peak, recession, recovery),
Tech and innovation waves (AI, blockchain, green energy),
Seasonal consumer behavior, and
Historical market patterns.

🗓️ Long-Term “Periods to Make Money” (2025–2050)

Year	Global Cycle	Opportunity Sector	Best Months to Capitalize	Strategy
2025	Early Recovery	AI, Digital Marketing	Feb–May, Sept–Nov	Build digital assets, trade volatility
2026	Growth Acceleration	Green Tech, Fintech	Jan–June	Invest in startups, green energy stocks
2027	Growth	Crypto, Real Estate	Mar–May, Oct–Dec	Buy mid-cap tokens, REITs, rentals
2028	Pre-Peak	AI, Robotics, SpaceTech	Feb–July	Scale e-commerce, SaaS, invest in tech
2029	Peak	Luxury Goods, Equity Funds	Jan–April	Take profits, rotate to safe assets
2030	Early Decline	Health, Food Supply Chain	Apr–June	Defensive stocks, reduce leverage
2031	Recession Warning	Renewable Energy, Farming	Aug–Dec	Gold, utilities, dividend stocks
2032	Recession	Crypto, Commodities	May–Nov	Buy dips, cost average, build cash reserves
2033	Recovery Begins	Biotech, EVs	Feb–May, Sept	Buy into long-term ETFs, stocks
2034	Growth Phase	Real Estate, Web 4.0	Mar–June	Expand portfolios, invest in platforms
2035	Peak Zone	Private Equity, Branding	Jan–April, Sept	Sell top assets, prep for winter
2036	Cooling	AI Regulation, MedTech	June–Nov	Hybrid strategies, mixed allocation
2037	Mid-Recession	Stablecoins, Insurance	Aug–Dec	Safe havens, reduce risk exposure
2038	Bounce Phase	Infrastructure, AI Health	Apr–July	Go long on ETFs, digital asset rebounds
2039	Growth Again	Cybersecurity, Cloud Infra	Feb–May, Oct	Launch digital ventures
2040	Boom	Space Mining, Neural Tech	Jan–June	Moonshot investing, 10x bets
2041	Caution	Crypto Stability, Forex	May–Aug	Tight stop-loss, partial exits
2042	Adjustment Period	Tech Consolidation	Mar–June	Restructure, stabilize business
2043	Mid-Cycle Rebound	Robotics, AR/VR	Feb–May	Trade momentum tech
2044	Expansion	Genomics, Automation	Jan–Apr, Sept	Venture investing, international markets
2045	Peak	Tourism, Art, IP Assets	May–Aug	License assets, sell NFTs or patents
2046	Early Downturn	Real Asset Hedging	Oct–Dec	Switch to commodities & inflation-proofing
2047	Bearish	Cyber Assets, Health Infra	Feb–June	Focus on essentials
2048	Recovery Signs	Digital Real Estate	Jan–March, Oct	Metaverse projects, content IPs
2049	Bullish	Tokenized Assets, Green AI	Apr–July	Long-term holds, syndicate investing
2050	Peak Possibility	Innovation Tech, Finance AI	Feb–May, Aug	Harvest gains, global diversification

Understanding Tritch’s ‘Periods When to Make Money’

Tritch’s chart, employs a three-tiered system (A, B, C) to delineate distinct phases in market cycles:

Category A: Symbolizes periods of panic and trend reversals, marking the inception of a bearish trend.
Category B: Represents peak market times, ideal for selling assets at high prices.
Category C: Signifies periods of low prices, the best time to buy assets, marking the onset of a bull market.

Tritch’s model suggests a cyclical recurrence in these categories, with varying durations for each cycle. However, the intriguing part lies in Tritch’s justification of this cyclicity.

The top of the market cycle (Category A) occurs every 16/18/20 years.
The midpoint of the cycle (Category B) happens every 8/9/10 years.
The bottom of the cycle (Category C) is marked by 3–6 / 2–5 / 4–7 year cycles.

The Controversial Aspect of Financial Astrology: Tritch attributed market cycles to planetary influences, aligning with the principles of financial astrology or Astro-economics. However, this approach lacks scientific validation, leaving it mostly unaccepted by mainstream financial analysts.

Is Tritch’s Model Reliable?

Despite its captivating premise, Tritch’s model, like any predictive tool, should be approached with caution. Market dynamics encompass a plethora of factors, many of which are neither cyclical nor predictable. Although Tritch’s chart reportedly demonstrated high accuracy in the past, remember, past performance is not a reliable indicator of future results.

In conclusion, Tritch’s chart might intrigue investors seeking guidance amidst financial uncertainty. Yet, prudent investing necessitates comprehensive asset research, awareness of broader market trends, and understanding one’s risk tolerance and investment objectives.

As Warren Buffet wisely advised, “Be fearful when others are greedy, and greedy when others are fearful.”

📌 Notes:

Q1–Q2 of most years tend to bring high productivity and optimism: great for launching products or trading.
Q3–Q4 typically involves either market volatility or recovery: ideal for strategic buying or reevaluating portfolios.
Major downturns expected around 2031, 2036, and 2047.
Best build & launch years: 2025, 2028, 2033, 2039, 2044, 2049.

💡 Quick Tips for Maximizing Money-Making Periods:

Plan 1 quarter ahead: Set goals and campaigns at least 3 months early.
Capitalize on emotion-driven spending (e.g., New Year’s motivation, Christmas gifting).
Watch fiscal calendars: Governments and businesses usually align budgets in Q1.
Use trend tools: Google Trends, stock seasonality charts, and YouTube Analytics can guide you.

🧾 Conclusion

Knowing when to act can be just as important as what to do. Whether you’re a trader, creator, seller, or service provider, aligning your effort with the right periods can lead to significant gains. Track trends, understand behavior cycles, and plan with seasonal strategy.

How Much Electricity Does It Take to Mine 1 Bitcoin in 2024? [Post-Halving Global Comparison]

⚡ The 2024 Bitcoin Mining Electricity Costs Around the World (Post-Halving)

A new global map by NFT Evening illustrates how much it costs in electricity alone to mine 1 Bitcoin post-2024 halving, and the numbers are jaw-dropping.

This halving event not only reduced rewards from 6.25 BTC to 3.125 BTC but also significantly shifted the economics of mining. Electricity cost now plays a more critical role than ever.

🌍 Top 10 Cheapest Countries to Mine 1 BTC

Country	Electricity Cost
Iran	$1,328
Libya	$5,294
Ethiopia	$1,996
Sudan	$3,970
Syria	$3,970
Cuba	$3,970
Bhutan	$9,930
Uzbekistan	$15,230
Kyrgyzstan	$8,610
Argentina	$12,580

🔋 These countries benefit from state subsidies, low energy demand, or abundant hydro resources.

🔥 Most Expensive Countries to Mine 1 BTC

Country	Electricity Cost
Italy	$306,550
Bahamas	$280,720
Germany	$269,470
Cayman Islands	$268,810
UK	$271,460
Belgium	$280,060
Ireland	$321,110
Netherlands	$212,530
Switzerland	$236,370
France	$190,020

🚫 European nations top the list — due to high taxes, grid congestion, and green energy transitions.

💡 What Does This Mean for Miners in 2024?

Miners will migrate to cheaper energy markets like the Middle East, parts of Africa, or Latin America.
Countries with energy subsidies (like Iran and Argentina) may see surging mining activity — if regulation allows it.
In high-cost areas, only the most efficient operations will survive.

🛑 Banned or Restricted Countries

Countries like China, Nepal, and Morocco have outright banned crypto mining, regardless of electricity rates.

📌 Final Thoughts

As mining rewards shrink and energy costs rise, the future of Bitcoin mining depends heavily on geopolitics, infrastructure, and sustainability. If you’re a miner or investor, this global energy cost map is a must-watch metric.

Crypto Analyst AI Comparison Table

Feature / Model	ChatGPT (GPT-4o)	GROK (X AI)	DeepSeek	Gemini (Google)	Qwen (Alibaba)
🔍 Real-Time Sentiment	⭐⭐⭐☆ (via data you upload)	⭐⭐⭐⭐⭐ (native X)	⭐⭐☆☆☆	⭐⭐☆☆☆	⭐⭐☆☆☆
📈 Technical Analysis	⭐⭐⭐⭐⭐	⭐⭐☆☆☆	⭐⭐⭐⭐☆	⭐⭐⭐☆☆	⭐⭐⭐☆☆
💰 Risk/Reward Planning	⭐⭐⭐⭐⭐	⭐☆☆☆☆	⭐⭐⭐⭐☆	⭐⭐☆☆☆	⭐⭐☆☆☆
🧠 Rationale & Strategy	⭐⭐⭐⭐⭐	⭐⭐☆☆☆	⭐⭐⭐⭐☆	⭐⭐☆☆☆	⭐⭐☆☆☆
🔄 Backtesting Logic	⭐⭐⭐⭐☆	⭐☆☆☆☆	⭐⭐⭐⭐☆	⭐⭐☆☆☆	⭐⭐☆☆☆
📊 Tokenomics & Fundamentals	⭐⭐⭐⭐☆	⭐⭐⭐☆☆	⭐⭐⭐⭐☆	⭐⭐⭐☆☆	⭐⭐☆☆☆
🧵 Multi-Position Planning	⭐⭐⭐⭐☆	⭐☆☆☆☆	⭐⭐⭐⭐☆	⭐⭐☆☆☆	⭐⭐☆☆☆
🔗 Web Integration (DApps, X, APIs)	⭐⭐⭐☆	⭐⭐⭐⭐☆	⭐⭐☆☆☆	⭐⭐☆☆☆	⭐⭐☆☆☆
🧬 Learning from uploaded charts	✅ Yes	❌ No	✅ Yes	❌ No	✅ Partial
🧠 Best Use Case	Trade planning, chart analysis, strategy building	Narrative spotting, meme/hype plays	Quant-style insights, China-friendly modeling	General research assistant	Enterprise/internal use, not trading focused
🌍 Language Strength	English, code, global	English (short-form)	Chinese + English	English-heavy	Chinese (mostly)
🏆 Best For	Advanced traders needing logic, TP/SL/R:R	Degens + Twitter alpha chasers	Strategic thinkers, mid-to-advanced traders	Basic queries, cross-Google use	China-only trading or enterprise tooling

🧩 Final Recommendation (for your use):

Goal	Best Tool
🔄 Short-term trade setup with TP/SL & R:R	ChatGPT ✅
🧠 Market narrative scouting	GROK (X AI)
📊 Backtesting & strategy modeling	DeepSeek AI
📰 General info, news scraping	Gemini
🇨🇳 CN-based crypto intelligence	Qwen

不遠處 (Bu Yuan Chu) Pinyin Lyrics – Marz23

Singer: Marz23
Title: 不遠處 (Bu Yuan Chu)

你是否跟我一樣忘記該怎麼發自內心的笑
Ni shifou gen wo yiyang wangji gai zenme fa zi neixin de xiao
你是否還再裝沒事卻拼命尋找能振作的藥
ni shifou hai zai zhuang meishi que pinming xunzhao neng zhenzuo di yao

with every single step you take
it’s just digging your own grave so

數不清的失落教會你沉淪不是種罪
shu bu qing de shiluo jiaohui ni chenlun bushi zhong zui

every day
is anybody out here cause i’m falling down

照鏡子都覺得討厭
zhao jingzi dou juede taoyan

還能再犯錯幾次已經不再是少年
hai neng zai fancuo ji ci yijing bu zai shi shaonian

i lose myself again

才發現自己根本就沒想像的堅強
cai faxian ziji genben jiu mei xiangxiang de jianqiang

i sold my soul to the demon

要怎麼奢望去天堂
yao zenme shewang qu tiantang
等待下一陣風吹起
dengdai xia yizhen fengchui qi
握緊拳頭給命運他媽個回擊
wo jin quantou gei mingyun ta ma ge huiji

cause i was born to fight
and through the darkest nights
i will keep this flame alive

我知道就在不遠處
wo zhidao jiu zai bu yuan chu
就算暴風雨把視線遮住
jiusuan baofengyu ba shixian zhe zhu
如果還有夢要怎麼能認輸
ruguo hai you meng yao zenme neng renshu

我知道就在不遠處
wo zhidao jiu zai bu yuan chu
相信最後會一起笑著哭
xiangxin zuihou hui yiqi xiaozhe ku
這是我的命我沒有回頭路
zhe shi wo de ming wo meiyou huitoulu
它就在不遠處
ta jiu zai bu yuan chu

雞湯是解藥但毒藥總是最可口
jitang shi jie yao dan duyao zong shi zui kekou
墮落得輕鬆但重來你得跪著走
duoluo de qingsong dan chong lai ni de guizhe zou
學校沒教你怎麼面對人生
xuexiao mei jiao ni zenme mian dui rensheng
出社會才每天買閉門羹吃到你很撐
chu shehui cai meitian mai bimengeng chi dao ni hen cheng

it’s not so far away

對抗成名的雙面刃
duikang chengming de shuang mian ren

it’s not so far away

有機會就往上面蹬
you jihui jiu wang shangmian deng

it’s not so far away

撕開裂痕讓陽光都照進來
si kai liehen rang yangguang dou zhao jinlai
出生沒航空母艦那啥都不怨就造一台
chusheng mei hangkongmujian na sha dou bu yuan jiu zao yi tai

我祈禱陌生的朋友你可以快樂
wo qidao mosheng de pengyou ni keyi kuaile
我祈禱天降下甘霖沒飢荒挨餓
wo qidao tian jiangxia ganlin mei jihuang ai e
我祈禱不再分敵我不再分膚色
wo qidao bu zai fen di wo bu zai fen fuse

that’s right

就當我站在這
jiu dang wo zhan zai zhe
試著告解必須面對的過錯
shizhe gaojie bixu mian dui de guocuo
誠實告訴你23一樣背負著懦弱
chengshi gaosu ni 23 yiyang beifuzhe nuoruo
陪你失敗之後還要到更好的地方
pei ni shibai zhihou hai yao dao geng hao di difang

我知道就在不遠處
wo zhidao jiu zai bu yuan chu
就算暴風雨把視線遮住
jiusuan baofengyu ba shixian zhe zhu
如果還有夢要怎麼能認輸
ruguo hai you meng yao zenme neng renshu

我知道就在不遠處
wo zhidao jiu zai bu yuan chu
相信最後會一起笑著哭
xiangxin zuihou hui yiqi xiaozhe ku
這是我的命我沒有回頭路
zhe shi wo de ming wo meiyou huitoulu

它就在不遠處
ta jiu zai bu yuan chu
它就在不遠處
ta jiu zai bu yuan chu
最美的風景它就在不遠處
zuimei de fengjing ta jiu zai bu yuan chu
它就在不遠處
ta jiu zai bu yuan chu

最美的風景它就在不遠處
zuimei de fengjing ta jiu zai bu yuan chu

904L, Oystersteel, 316L, or 304L Stainless Steel Grades

Here’s a concise comparison of 904L, Oystersteel, 316L, and 304L, plus clarification about the “10 stainless steel kinds”:

STAINLESS STEEL GRADES COMPARISON

Grade	Composition Highlights	Corrosion Resistance	Strength	Common Use	Notes
304L	18% Cr, 8% Ni, low C	Good	Medium	Kitchenware, piping	Low-carbon version of 304; weld-friendly
316L	16% Cr, 10% Ni, 2% Mo, low C	Better than 304L	Medium	Marine, medical instruments	Molybdenum improves salt resistance
904L	20% Cr, 25% Ni, 4.5% Mo, Cu added	Excellent	High	High-end watches (Rolex), chemicals	Very corrosion-resistant, expensive
Oystersteel	Proprietary Rolex alloy (based on 904L)	Top-tier	Very High	Luxury watch cases	Rolex’s marketing term for 904L steel

🧪 TL;DR

304L → Common, affordable, general use.
316L → Marine grade, better corrosion resistance (due to molybdenum).
904L → Premium grade, high nickel and molybdenum, very corrosion-resistant.
Oystersteel → Rolex-branded 904L with very high standards.

❓Is there a “10 stainless steel kinds”?

Yes, there are more than 10 types. Here’s a common categorization:

📚 Main Types of Stainless Steel (by microstructure):

Austenitic (e.g., 304, 316, 904L) – non-magnetic, high corrosion resistance
Ferritic (e.g., 430) – magnetic, less expensive, moderate resistance
Martensitic (e.g., 410, 420) – hardenable, used for knives and tools
Duplex (e.g., 2205) – mix of austenitic + ferritic, strong + corrosion-resistant
Precipitation-Hardening (e.g., 17-4 PH) – very high strength

Each group contains several numbered types, so in total there are well over 10 stainless steel kinds.

✅ About 904L (just for comparison):

Property	Value
Nickel	24–25%
Chromium	19–23%
Molybdenum	~4.5%
Copper	~1.5%
Carbon	≤ 0.02%
Strength	High corrosion & pitting resistance
Typical Use	Rolex cases, acids, chlorides

🧪 Why Rolex Uses 904L / Oystersteel?

Compared to 316L (used by most luxury brands):

More corrosion-resistant (esp. against acids and seawater)
Holds polish better over decades
Harder to machine, but Rolex has in-house tech to process it

Rolex chose it to maximize longevity, shine, and resistance to extreme conditions, especially for professional models like:

Submariner
Sea-Dweller
GMT-Master II

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