關於 abstract example ，我們在網路上蒐集到這些相關的討論、資訊與評價

//https://www.wsj.com/articles/honoring-jimmy-lai-11624248153

OPINION REVIEW & OUTLOOK
Honoring Jimmy Lai
In Hong Kong, a valiant attempt to keep publishing the truth.
By The Editorial Board
June 21, 2021 12:02 am ET

The Committee to Protect Journalists was founded 40 years ago to fight for journalists who are “attacked, imprisoned or killed.” In this spirit, the CPJ on Monday announced it is honoring Hong Kong’s Jimmy Lai with its 2021 Gwen Ifill Press Freedom Award. Mr. Lai, the founder, owner and contributor to the Apple Daily newspaper, won’t be able to accept the award in person because he sits in prison in Hong Kong.

The CPJ honor comes after another police raid on the newsroom last week. Five Apple Daily execs were arrested, and two—editor-in-chief Ryan Law and chief executive officer Cheung Kim-hung —were charged under the new national security law and thus denied bail. The CPJ notes that Mr. Lai “fights for the right of his Apple News organization to publish freely, even as China and its backers in Hong Kong use every tool to quash them.”

The grim news is that those who want Apple silenced may be succeeding. We have learned that Apple may be only days away from stopping its presses. This itself is a lesson in freedom. Instead of directly censoring the publication, Hong Kong authorities, backed by China, have targeted the lifeblood of any news organization, its business operations.

The lesson of Apple is that freedom of the press doesn’t exist in the abstract. It depends on property rights. By freezing Apple’s corporate accounts, by stopping Mr. Lai from voting his shares (he holds 72% of the company), and by scaring people from advertising in Apple or doing business with it, Hong Kong has been trying to deny the paper the wherewithal to continue. Lenin understood this more than a century ago, recommending that Communists control newsprint and advertising to bring the press to heel.

There’s a warning here for other Hong Kong business enterprises that may not think they have a stake in what happens to Mr. Lai or Apple. Hong Kong authorities are stealing Mr. Lai’s company because they don’t like his political views—and they have done it by police orders, without due process or judicial review. If they can do it to his company, does anyone really believe they won’t do it to a bank or tech company that offends China?

The men and women at Apple have been making a valiant stand to keep publishing despite the risk of arrest and imprisonment. They are an example of real journalistic courage that should educate an American media that likes to play up its bravery in challenging the government while living under the protection of the First Amendment and a free society. Mr. Lai and his journalists have put their freedom at risk to challenge a real tyranny.

The CPJ award is richly deserved, and it should put a global spotlight on what is happening to Mr. Lai and Apple. As China’s Communist Party seeks to expand its political control over critics world-wide, often with the acquiescence of Hollywood and U.S. tech companies, Jimmy Lai speaks for everyone fighting for the cause of liberty.//

📜 [專欄新文章] Uniswap v3 Features Explained in Depth

✍️ 田少谷 Shao

📥 歡迎投稿： https://medium.com/taipei-ethereum-meetup #徵技術分享文 #使用心得 #教學文 #medium

Once again the game-changing DEX 🦄 👑

Image source: https://uniswap.org/blog/uniswap-v3/

Outline

0. Intro1. Uniswap & AMM recap2. Ticks 3. Concentrated liquidity4. Range orders: reversible limit orders5. Impacts of v36. Conclusion

0. Intro

The announcement of Uniswap v3 is no doubt one of the most exciting news in the DeFi place recently 🔥🔥🔥

While most have talked about the impact v3 can potentially bring on the market, seldom explain the delicate implementation techniques to realize all those amazing features, such as concentrated liquidity, limit-order-like range orders, etc.

Since I’ve covered Uniswap v1 & v2 (if you happen to know Mandarin, here are v1 & v2), there’s no reason for me to not cover v3 as well ✅

Thus, this article aims to guide readers through Uniswap v3, based on their official whitepaper and examples made on the announcement page. However, one needs not to be an engineer, as not many codes are involved, nor a math major, as the math involved is definitely taught in your high school, to fully understand the following content 😊😊😊

If you really make it through but still don’t get shxt, feedbacks are welcomed! 🙏

There should be another article focusing on the codebase, so stay tuned and let’s get started with some background noise!

1. Uniswap & AMM recap

Before diving in, we have to first recap the uniqueness of Uniswap and compare it to traditional order book exchanges.

Uniswap v1 & v2 are a kind of AMMs (automated market marker) that follow the constant product equation x * y = k, with x & y stand for the amount of two tokens X and Y in a pool and k as a constant.

Comparing to order book exchanges, AMMs, such as the previous versions of Uniswap, offer quite a distinct user experience:

AMMs have pricing functions that offer the price for the two tokens, which make their users always price takers, while users of order book exchanges can be both makers or takers.

Uniswap as well as most AMMs have infinite liquidity¹, while order book exchanges don’t. The liquidity of Uniswap v1 & v2 is provided throughout the price range [0,∞]².

Uniswap as well as most AMMs have price slippage³ and it’s due to the pricing function, while there isn’t always price slippage on order book exchanges as long as an order is fulfilled within one tick.

In an order book, each price (whether in green or red) is a tick. Image source: https://ftx.com/trade/BTC-PERP

¹ though the price gets worse over time; AMM of constant sum such as mStable does not have infinite liquidity

² the range is in fact [-∞,∞], while a price in most cases won’t be negative

³ AMM of constant sum does not have price slippage

2. Tick

The whole innovation of Uniswap v3 starts from ticks.

For those unfamiliar with what is a tick:

Source: https://www.investopedia.com/terms/t/tick.asp

By slicing the price range [0,∞] into numerous granular ticks, trading on v3 is highly similar to trading on order book exchanges, with only three differences:

The price range of each tick is predefined by the system instead of being proposed by users.

Trades that happen within a tick still follows the pricing function of the AMM, while the equation has to be updated once the price crosses the tick.

Orders can be executed with any price within the price range, instead of being fulfilled at the same one price on order book exchanges.

With the tick design, Uniswap v3 possesses most of the merits of both AMM and an order book exchange! 💯💯💯

So, how is the price range of a tick decided?

This question is actually somewhat related to the tick explanation above: the minimum tick size for stocks trading above 1$ is one cent.

The underlying meaning of a tick size traditionally being one cent is that one cent (1% of 1$) is the basis point of price changes between ticks, ex: 1.02 — 1.01 = 0.1.

Uniswap v3 employs a similar idea: compared to the previous/next price, the price change should always be 0.01% = 1 basis point.

However, notice the difference is that in the traditional basis point, the price change is defined with subtraction, while here in Uniswap it’s division.

This is how price ranges of ticks are decided⁴:

Image source: https://uniswap.org/whitepaper-v3.pdf

With the above equation, the tick/price range can be recorded in the index form [i, i+1], instead of some crazy numbers such as 1.0001¹⁰⁰ = 1.0100496621.

As each price is the multiplication of 1.0001 of the previous price, the price change is always 1.0001 — 1 = 0.0001 = 0.01%.

For example, when i=1, p(1) = 1.0001; when i=2, p(2) = 1.00020001.

p(2) / p(1) = 1.00020001 / 1.0001 = 1.0001

See the connection between the traditional basis point 1 cent (=1% of 1$) and Uniswap v3’s basis point 0.01%?

Image source: https://tenor.com/view/coin-master-cool-gif-19748052

But sir, are prices really granular enough? There are many shitcoins with prices less than 0.000001$. Will such prices be covered as well?

Price range: max & min

To know if an extremely small price is covered or not, we have to figure out the max & min price range of v3 by looking into the spec: there is a int24 tick state variable in UniswapV3Pool.sol.

Image source: https://uniswap.org/whitepaper-v3.pdf

The reason for a signed integer int instead of an uint is that negative power represents prices less than 1 but greater than 0.

24 bits can cover the range between 1.0001 ^ (2²³ — 1) and 1.0001 ^ -(2)²³. Even Google cannot calculate such numbers, so allow me to offer smaller values to have a rough idea of the whole price range:

1.0001 ^ (2¹⁸) = 242,214,459,604.341

1.0001 ^ -(2¹⁷) = 0.000002031888943

I think it’s safe to say that with a int24 the range can cover > 99.99% of the prices of all assets in the universe 👌

⁴ For implementation concern, however, a square root is added to both sides of the equation.

How about finding out which tick does a price belong to?

Tick index from price

The answer to this question is rather easy, as we know that p(i) = 1.0001^i, simply takes a log with base 1.0001 on both sides of the equation⁴:

Image source: https://www.codecogs.com/latex/eqneditor.php

Let’s try this out, say we wanna find out the tick index of 1000000.

Image source: https://ncalculators.com/number-conversion/log-logarithm-calculator.htm

Now, 1.0001¹³⁸¹⁶² = 999,998.678087146. Voila!

⁵ This formula is also slightly modified to fit the real implementation usage.

3. Concentrated liquidity

Now that we know how ticks and price ranges are decided, let’s talk about how orders are executed in a tick, what is concentrated liquidity and how it enables v3 to compete with stablecoin-specialized DEXs (decentralized exchange), such as Curve, by improving the capital efficiency.

Concentrated liquidity means LPs (liquidity providers) can provide liquidity to any price range/tick at their wish, which causes the liquidity to be imbalanced in ticks.

As each tick has a different liquidity depth, the corresponding pricing function x * y = k also won’t be the same!

Each tick has its own liquidity depth. Image source: https://uniswap.org/blog/uniswap-v3/

Mmm… examples are always helpful for abstract descriptions 😂

Say the original pricing function is 100(x) * 1000(y) = 100000(k), with the price of X token 1000 / 100 = 10 and we’re now in the price range [9.08, 11.08].

If the liquidity of the price range [11.08, 13.08] is the same as [9.08, 11.08], we don’t have to modify the pricing function if the price goes from 10 to 11.08, which is the boundary between two ticks.

The price of X is 1052.63 / 95 = 11.08 when the equation is 1052.63 * 95 = 100000.

However, if the liquidity of the price range [11.08, 13.08] is two times that of the current range [9.08, 11.08], balances of x and y should be doubled, which makes the equation become 2105.26 * 220 = 400000, which is (1052.63 * 2) * (110 * 2) = (100000 * 2 * 2).

We can observe the following two points from the above example:

Trades always follow the pricing function x * y = k, while once the price crosses the current price range/tick, the liquidity/equation has to be updated.

√(x * y) = √k = L is how we represent the liquidity, as I say the liquidity of x * y = 400000 is two times the liquidity of x * y = 100000, as √(400000 / 100000) = 2.

What’s more, compared to liquidity on v1 & v2 is always spread across [0,∞], liquidity on v3 can be concentrated within certain price ranges and thus results in higher capital efficiency from traders’ swapping fees!

Let’s say if I provide liquidity in the range [1200, 2800], the capital efficiency will then be 4.24x higher than v2 with the range [0,∞] 😮😮😮 There’s a capital efficiency comparison calculator, make sure to try it out!

Image source: https://uniswap.org/blog/uniswap-v3/

It’s worth noticing that the concept of concentrated liquidity was proposed and already implemented by Kyper, prior to Uniswap, which is called Automated Price Reserve in their case.⁵

⁶ Thanks to Yenwen Feng for the information.

4. Range orders: reversible limit orders

As explained in the above section, LPs of v3 can provide liquidity to any price range/tick at their wish. Depending on the current price and the targeted price range, there are three scenarios:

current price < the targeted price range

current price > the targeted price range

current price belongs to the targeted price range

The first two scenarios are called range orders. They have unique characteristics and are essentially fee-earning reversible limit orders, which will be explained later.

The last case is the exact same liquidity providing mechanism as the previous versions: LPs provide liquidity in both tokens of the same value (= amount * price).

There’s also an identical product to the case: grid trading, a very powerful investment tool for a time of consolidation. Dunno what’s grid trading? Check out Binance’s explanation on this, as this topic won’t be covered!

In fact, LPs of Uniswap v1 & v2 are grid trading with a range of [0,∞] and the entry price as the baseline.

Range orders

To understand range orders, we’d have to first revisit how price is discovered on Uniswap with the equation x * y = k, for x & y stand for the amount of two tokens X and Y and k as a constant.

The price of X compared to Y is y / x, which means how many Y one can get for 1 unit of X, and vice versa the price of Y compared to X is x / y.

For the price of X to go up, y has to increase and x decrease.

With this pricing mechanism in mind, it’s example time!

Say an LP plans to place liquidity in the price range [15.625, 17.313], higher than the current price of X 10, when 100(x) * 1000(y) = 100000(k).

The price of X is 1250 / 80 = 15.625 when the equation is 80 * 1250 = 100000.

The price of X is 1315.789 / 76 = 17.313 when the equation is 76 * 1315.789 = 100000.

If now the price of X reaches 15.625, the only way for the price of X to go even higher is to further increase y and decrease x, which means exchanging a certain amount of X for Y.

Thus, to provide liquidity in the range [15.625, 17.313], an LP needs only to prepare 80 — 76 = 4 of X. If the price exceeds 17.313, all 4 X of the LP is swapped into 1315.789 — 1250 = 65.798 Y, and then the LP has nothing more to do with the pool, as his/her liquidity is drained.

What if the price stays in the range? It’s exactly what LPs would love to see, as they can earn swapping fees for all transactions in the range! Also, the balance of X will swing between [76, 80] and the balance of Y between [1250, 1315.789].

This might not be obvious, but the example above shows an interesting insight: if the liquidity of one token is provided, only when the token becomes more valuable will it be exchanged for the less valuable one.

…wut? 🤔

Remember that if 4 X is provided within [15.625, 17.313], only when the price of X goes up from 15.625 to 17.313 is 4 X gradually swapped into Y, the less valuable one!

What if the price of X drops back immediately after reaching 17.313? As X becomes less valuable, others are going to exchange Y for X.

The below image illustrates the scenario of DAI/USDC pair with a price range of [1.001, 1.002] well: the pool is always composed entirely of one token on both sides of the tick, while in the middle 1.001499⁶ is of both tokens.

Image source: https://uniswap.org/blog/uniswap-v3/

Similarly, to provide liquidity in a price range < current price, an LP has to prepare a certain amount of Y for others to exchange Y for X within the range.

To wrap up such an interesting feature, we know that:

Only one token is required for range orders.

Only when the current price is within the range of the range order can LP earn trading fees. This is the main reason why most people believe LPs of v3 have to monitor the price more actively to maximize their income, which also means that LPs of v3 have become arbitrageurs 🤯

I will be discussing more the impacts of v3 in 5. Impacts of v3.

⁷ 1.001499988 = √(1.0001 * 1.0002) is the geometric mean of 1.0001 and 1.0002. The implication is that the geometric mean of two prices is the average execution price within the range of the two prices.

Reversible limit orders

As the example in the last section demonstrates, if there is 4 X in range [15.625, 17.313], the 4 X will be completely converted into 65.798 Y when the price goes over 17.313.

We all know that a price can stay in a wide range such as [10, 11] for quite some time, while it’s unlikely so in a narrow range such as [15.625, 15.626].

Thus, if an LP provides liquidity in [15.625, 15.626], we can expect that once the price of X goes over 15.625 and immediately also 15.626, and does not drop back, all X are then forever converted into Y.

The concept of having a targeted price and the order will be executed after the price is crossed is exactly the concept of limit orders! The only difference is that if the range of a range order is not narrow enough, it’s highly possible that the conversion of tokens will be reverted once the price falls back to the range.

As price ranges follow the equation p(i) = 1.0001 ^ i, the range can be quite narrow and a range order can thus effectively serve as a limit order:

When i = 27490, 1.0001²⁷⁴⁹⁰ = 15.6248.⁸

When i = 27491, 1.0001²⁷⁴⁹¹ = 15.6264.⁸

A range of 0.0016 is not THAT narrow but can certainly satisfy most limit order use cases!

⁸ As mentioned previously in note #4, there is a square root in the equation of the price and index, thus the numbers here are for explantion only.

5. Impacts of v3

Higher capital efficiency, LPs become arbitrageurs… as v3 has made tons of radical changes, I’d like to summarize my personal takes of the impacts of v3:

Higher capital efficiency makes one of the most frequently considered indices in DeFi: TVL, total value locked, becomes less meaningful, as 1$ on Uniswap v3 might have the same effect as 100$ or even 2000$ on v2.

The ease of spot exchanging between spot exchanges used to be a huge advantage of spot markets over derivative markets. As LPs will take up the role of arbitrageurs and arbitraging is more likely to happen on v3 itself other than between DEXs, this gap is narrowed … to what extent? No idea though.

LP strategies and the aggregation of NFT of Uniswap v3 liquidity token are becoming the blue ocean for new DeFi startups: see Visor and Lixir. In fact, this might be the turning point for both DeFi and NFT: the two main reasons of blockchain going mainstream now come to the alignment of interest: solving the $$ problem 😏😏😏

In the right venue, which means a place where transaction fees are low enough, such as Optimism, we might see Algo trading firms coming in to share the market of designing LP strategies on Uniswap v3, as I believe Algo trading is way stronger than on-chain strategies or DAO voting to add liquidity that sort of thing.

After reading this article by Parsec.finance: The Dex to Rule Them All, I cannot help but wonder: maybe there is going to be centralized crypto exchanges adopting v3’s approach. The reason is that since orders of LPs in the same tick are executed pro-rata, the endless front-running speeding-competition issue in the Algo trading world, to some degree, is… solved? 🤔

Anyway, personal opinions can be biased and seriously wrong 🙈 I’m merely throwing out a sprat to catch a whale. Having a different voice? Leave your comment down below!

6. Conclusion

That was kinda tough, isn’t it? Glad you make it through here 🥂🥂🥂

There are actually many more details and also a huge section of Oracle yet to be covered. However, since this article is more about features and targeting normal DeFi users, I’ll leave those to the next one; hope there is one 😅

If you have any doubt or find any mistake, please feel free to reach out to me and I’d try to reply AFAP!

Stay tuned and in the meantime let’s wait and see how Uniswap v3 is again pioneering the innovation of DeFi 🌟

Uniswap v3 Features Explained in Depth was originally published in Taipei Ethereum Meetup on Medium, where people are continuing the conversation by highlighting and responding to this story.

👏 歡迎轉載分享鼓掌

文章開頭借用了日文的 Poka-Yokes 來分享有哪一些準則或是技巧可以讓你打造一個具 Mistake-Proof 的 Terraform 程式。

文章內列舉了四個準則，這邊簡單列舉了一下每個準則的概念，詳細資訊可以閱讀全文

# Rule 1: Use Terraform Modules to abstract specific pieces of infrastructure into logical groupings
1. 針對需求與架構去拆分你的 Terraform Module，舉例來說，創建一個名為 ECS Service 的 Module，而該 Modules 內其實會創建如 ECS, autoscaling target, metrics 等諸多資源。也正式這些資源相互合作才真正的搭建出 ECS 的服務
2. 上層的應用接下來都會以 ECS 服務為考量去使用，本身不需要去考慮太多底層創建的資源，透過變數的方式來讓不同的呼叫者有不同的 EC 服務

# Rule 2: Use Terraform Data calls to provide information
1. 人類其實很容易犯錯，特別是一些反覆執行的工作。但是電腦非常擅長這類型的工作
2. 相對於要求使用者或是開發者維護各類資源的 ID 或是資訊，更好的做法是利用 Terraform 內的 data 功能，主動地從遠方抓取這些資訊，並且搭配 filter 來過濾不必要的資訊。

# Rule 3: Be Smart About Where Interpolation and Concatenation Happens
- 創建應用時，很容易透過 Copy/Paste 等方式來創建相關資源，這時候就要特別注意資源的名稱是否有重複，是否忘了修改
- 透過變數的方式幫資源命名，但是要注意如果你今天想要修改命名的規則，每個有用到該資源的檔案都要去修改
- 有使用 Module 的話，可以考慮於 Module 呼叫時去組合相關名稱，而不是 Module 內組合。

# Rule 4: Implement State Locking for Ease of Deployments
- Lock 非常重要，透過 lock 機制我們可以避免同時有多個更新造成狀態不一致

有興趣的可以點選連結來觀看全文
原文: https://medium.com/capital-one-tech/terraform-poka-yokes-writing-effective-scalable-dynamic-and-error-resistant-terraform-dcbd6a0ada6a

CLASS OPENING ANNOUNCEMENT, please check out my upcoming IELTS classes: https://www.facebook.com/mothdo/posts/463455187439324
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Mình đã nhận được rất nhiều câu hỏi về cách mình học cũng như request cho một video về chủ đề này, nên ngày hôm nay chúng mình sẽ cùng nhau nói về chuyện học hành, cũng như cách học hiệu quả mà nhàn nhất có thể nhé. Mình không phải người học giỏi hay xuất chúng gì đâu :))) Mình chỉ có thể nói rằng mình học khá hiệu quả và tiếp thu được những gì mình muốn học thôi. Mình càng không phải người thông minh gì cho cam nữa. Nên chắc chắn là nếu những bí quyết để học giỏi này có thể giúp mình, chúng cũng sẽ có thể giúp bạn học tập hiệu quả mà lại tốn ít thời gian hơn đấy. Chúc các bạn thành công!
1. Spaced learning vs Cramming:
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1876761/
- https://www.pnas.org/content/111/1/E194.abstract
- https://www.opencolleges.edu.au/informed/other/why-spaced-learning-works-better-than-cramming/
2. Interleaving vs Blocking:
- https://pdfs.semanticscholar.org/e9b0/cd722aea23cc2df0fb68b28614c0a4a50076.pdf
- https://6med.co.uk/guides/study-tips/the-power-of-interleaving/
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- https://www.researchgate.net/publication/230709697_The_Value_of_Applied_Research_Retrieval_Practice_Improves_Classroom_Learning_and_Recommendations_from_a_Teacher_a_Principal_and_a_Scientist
- https://psychology.ucsd.edu/undergraduate-program/academic-writing-resources/effective-studying/retrieval-practice.html
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- https://www.researchgate.net/publication/220934238_The_influence_of_verbal_elaboration_on_subsequent_learning_An_experimental_study_in_a_PBL-setting
5. Concrete example
- https://researchschool.org.uk/durrington/blog/research-bites-concrete-examples
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- Khám phụ khoa: https://www.youtube.com/watch?v=kAqJl8mRMn8&t=444s
- Q&A về tình yêu: https://www.youtube.com/watch?v=WzpqUTnohlw&t=22s
- Vision board 2019: https://www.youtube.com/watch?v=7msk2c1YOhE
- Những nỗi khổ thầm kín của đàn ông: https://www.youtube.com/watch?v=Pn9a5vWdDrE&t=374s
- Ngưng khẩu nghiệp: https://www.youtube.com/watch?v=NoeXh4Dy8jc
- 7 ĐIỀU VỀ CỐC NGUYỆT SAN CÓ THỂ BẠN CHƯA BIẾT: https://www.youtube.com/watch?v=xYq1O8F12WA
- Lần đầu wax lông: https://www.youtube.com/watch?v=EqRz8udL9Xo&t=193s
- Tập yêu bố mẹ: https://www.youtube.com/watch?
v=bwzFtI3ekk4&t=1s
- Gặp tụi mèo nhà mình: https://www.youtube.com/watch?v=H7mvYcGBtYc&t=17s
- Về việc tránh thai: https://www.youtube.com/watch?v=SKLdiJXV9y4&t=17s
- Hướng nội không có nghĩa là nhút nhát: https://www.youtube.com/watch?v=Nxt2T1uVJLo&t=42s
- Bị mụn nên tránh ăn gì: https://www.youtube.com/watch?v=sHIpbDN_5RI&t=368s
- Làm thế nào để crush thích mình: https://www.youtube.com/watch?v=4kyU_GpB6yQ
- Đẩy mụn: https://www.youtube.com/watch?v=UtlzkgwPEMQ
- Trị thâm và sẹo mụn trứng cá: https://www.youtube.com/watch?v=fBIEP9_ONv0
- Makeup che mụn: https://www.youtube.com/watch?v=szYNCPgP-D0
- Cách mình giảm rụng tóc và kích thích mọc tóc: https://www.youtube.com/watch?v=UVEa1HqeIjs


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A continuation from the series "An Elephants Tale".

Time, we can manage it but we can never control it.
Timing is everything. In this day and age, coincidence is just a believed abstraction. I believe that it's all written.

In the case of falling in love, despite the pain you were made to feel through an action of someone who you thought was special, don't give up on love. There is no worse way to live life than to live it whilst giving up on love. Love is the only purpose worth living for.

It also takes time to heal. It is true that time heals but to a certain extend, I believe that by disregarding/not facing/running away from the situation that made you think you've grasp the idea of moving on, doesn't work. I believe that you have to make the stand to face it with that person, its unfair the other party.

Staying positive with the chances that you might or might not get in the future is really important. Especially in this day and age where everything(media, news, etc) is filled with negativity, it's important that we be the salt and light (instilling hope) to people to keep pressing on.

This might all seem far fetched and abstract from a person like me and through a mediocre experience but this is the easiest way to be opened up to the idea and understanding of life.

Think bigger than just ourselves. God might have just saved you from getting or getting someone pregnant before marriage and ruin the plans you had for you career. (just an extreme example, but you get the idea)

PS: This series is about to end, let me know if you enjoy videos like this and I'll try to work something out for you guys. Have a good day guys!

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