關於 stay with you心得 ，我們在網路上蒐集到這些相關的討論、資訊與評價

📢 Mighty Tech 🚩
🔑 Hardware innovation×Smart startup After class 🔎
Thanks #tHub for the inviting Ray and #sensecreate Neo to share their experience and knowledge in hardware innovation.
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新創團隊第一次的準備當中，最重要的其中一點是要找有生產經驗的PM！並且要了解產品開發的階段在哪裡，才能確立你與量產的距離有多遠。🎉
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最近收到一個挺實用的邀約，
就是羅比開始上OiKID線上英語課程。

關於英文學習這件事，
羅比算是開始得晚的，
(當初是為了要去考私立小學才開始學，後來只有備取)
因為沒有特別的時程目標，
我保持開放的心情，
覺得各種方式都可以試試看。

尤其是羅比這個發音不標準的小老頭，
老是說著我喜歡的水果是邱巴蕊(Strawberry)，
還有他會走進房間說媽媽，灑派！(Surprise!)

我便抱著觀察小動物的心情開始了這個課程，
先將前幾堂的記錄如下：

1.
第一堂課:
是英文程度測試的課程，
羅比又是用it’s a XXX句型打天下。
(it’s a yellow, it’s a brother……)

老師用很輕鬆的方式檢查了羅比的程度--
真的很像醫生那樣檢查，
每一頁都是一個項目，像是數字，顏色，Phonics，
看他理解多少。

羅比對於基本的數字跟顏色，
形狀還有一些水果食物人物的單字沒有問題，
走到拼音這部份則是呆若木雞完全念不出來。

還有我之前沒發現，
bdpqg這幾個小寫字，
羅比好像色盲一樣根本就亂猜一通，
被老師發現了。

羅比跟我一樣，是左撇子，
我在這個年紀時也是左右都不分，
寫字也像鏡射那樣顛倒過來，
所以我並不太在意。

課程結束後，
羅比說：
Anna老師很漂亮，要跟她結婚。

2.
第二堂課的主題是:
What can you do?

老師問，Can you climb a tree?
金牛座羅比用中文回答:
No no,no,no,no, 太危險了。

老師又再問:
Can you climb a ladder in the park?
羅比還是一臉很怕的樣子，
他搖搖手，敬謝不敏的表情。

師生陷入無話可說的三秒鐘。

下課後，我笑著跟羅比說:
這堂課是what can you do?
結果你什麼都不能do，

羅比堅持地表示:
只有monkey才能爬高高。

#建議OiKID把這堂課的教材改成what_can_monkey_do

3.
當然，羅比只是一個幼兒，
也是有上課不順利的時候。

一次是我約了太晚的時間，
羅比在課程後半段一度眼神迷濛，
但老師人很好，
一直說stay with me, Robbie,stay with me!

(我彷彿看到鐵達尼號的漂在海面上的傑克與蘿絲)

不只這樣，
老師還拿出迷宮這類的益智遊戲，
順利地把羅比弄醒了。

另一次，
是從阿嬤家回來的路上，
羅比在車上睡著了，
我硬是把他叫起來上課，
這次他在鏡頭前的前三分鐘都是掛著眼淚，
課程是Happy Birthday,
有一個小男孩帶著歡樂的生日帽子坐在蛋糕前面，
跟旁邊鏡頭裡憂愁的羅比形成強烈對比。

溫柔的老師只好不停跟他談禮物的事情，
Robbie，你喜歡什麼禮物？
Robbie，你記得生日的時候有多少人送你禮物？

羅比很快答出：Eleven!

我以為他是亂講的，
但事後他有仔細算給我聽，
家人有幾個，
還有幼兒園的小朋友也有送過，
真的是收到eleven presents.

羅比還說：
爸爸都說是跟你一起送一個，
其實我知道他根本沒有買禮物！

#總裁算得好清楚

4.
或許每個孩子都有所不同，
但經過幾次上課，
我逐漸抓到線上課程順利進行的訣竅，
其中一個是只要老師猛送羅比星星就好。

金牛座是這樣的，
他覺得收集星星是跟老師人與人的連結，
這件事有效引發了他回答題目的動機，
就算是羅比心情不好的時候，
得到星星的那一秒，
他也會立刻露出笑容。

總而言之實事求是的金牛座孩子，
即使心情低落也是不忘集星星，
課後還要細數自己累積的星星。

5.
我在想，等到上了足夠的課程，
再來個慎重的before/after影片跟大家分享，
目前上了五堂課，初步心得如下：

1）我覺得幼兒英語的學習重點，
是願意開口，開心對話的感覺，
一對一25分鐘的課程設計比較剛好，
一問一答也說了蠻多英文，
再多的時間其實會坐不住。

2）之前我有上過其他家線上課程，
那家是以個別老師為主，
老師有自己的課程設計，
能跟到好老師就沒問題，
若是想要長期上課，
我建議還是選有統一教材與評量系統的，
才能一直上下去。

像是OiKID，
教材設計是以美國課綱，
針對3-15歲的孩子的一貫性課程，
這樣的好處是就算不同老師也能銜接學習。

3)因為疫情關係，
我們也有上過線下補習班轉線上的課，
我個人真的不推薦幼童這種團體課，
一班有十幾個人，
一個小時下來，
羅比只回答了三題，
專心三分鐘而已。

我也會擔心，
如果未來實體上課，
老師都要戴著口罩，
看不到老師嘴型，
語言學習會不會受到影響。

4）以線上課程來說，
課程有錄影機制是加分，
可以反覆回放來當作複習，
尤其是如果小孩有點自戀，
他會很喜歡看自己到錄影畫面！
(媽媽回頭來看也覺得小孩一直在長大喔)

6.
關於OiKID，我也把一些觀察分享出來:

1) OiKID將英語學習分成8個等級的課程，
採用美國小學課綱，皆有升級考試，
舉例來說Level 1有68堂課，
Level 7有150堂，
平均下來一個等級約100堂課。

2)關於訂課，
OiKID是開放每周一中午選下週的課，
有種回到大學搶熱門通識課的感覺，
蠻刺激的，
我們的Anna老師也是很熱門，
建議大家手上有幾個老師可以做選擇。

3）每次的課程都會有個主題，
像是what can you do,
重點是學一些動詞，
我目前讓羅比一週上一堂，
其他時間就每天看看十分鐘的回放，
分幾次去複習，
大約一年半至兩年可以上完一個等級，
覺得這樣安排蠻剛好。

4）這個線上課程，
每次都有上課前五分鐘的預習課程，
預習課程是一個叫做Peter老師預錄的。
關於這個，
羅比淡淡說：
應該叫爸爸來看一下，
這個Peter英文就很好。

後記:
上完第二堂課時，
羅比問我:
為什麼老師一直說Robbie~你有膽!!

我回放課程的錄影，
其實老師說的是Robbie, well done!!

PS.
謝謝OiKID提供課程給我們體驗，
羅比目前持續上課中。

想看OiKID的圖文部落格或是跟Anna老師結婚的看這邊：https://bit.ly/3mcq9xr

家中有小朋友想要體驗課程的這邊請：
https://bit.ly/oikidyehyang

📜 [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

吉隆坡茨厂街最古老的月饼店双英斋 | 手工木模制出传统月饼的老味道，这样的手艺和心思就这样传承了六十载！
这家坐落在雪兰莪大厦后巷的双英斋饼家拥有超过65年的历史
，是吉隆坡一代最古老的纯手工制作的月饼店。
在寓意人月两团圆的中秋节，除了上海月饼和冰皮月饼之外，
当然也少不了各造型松软可口的猪仔饼啦！
这支视频会带大家去看看双英斋制作月饼背后的心得和简单过程！

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? 浮罗交怡自由行「超级省钱攻略」三天两夜只花RM300？！Langkawi Island Travel Guide 2020
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【日常 ? 】
? 第二次在家剪头发，差点剪到眼皮？！要注意啊！ HOW TO CUT OWN HAIR IN 10 MINUTES
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李杰明 W.M.L Playlist: https://www.youtube.com/playlist?list=PL_BJh1Mu7PPeS2THyw0DMZOYBOhYS2EAx
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SKRpresents IG: https://www.instagram.com/skrpresents/
Listen: https://www.soundscape.net/a/9986
_______________________________________________________
詞：李杰明 W.M.L
曲：李杰明 W.M.L & 陶山 Skot Suyama
編制：陶山 Skot Suyama
導演：Michael Li

I Need You

I need you here
Always near my dear

最愛的人容易變最恨的
The person I love easily becomes the person I hate
最愛的人無理取鬧怎麼變最笨的
How come I always become unreasonable in front of my loved one?
氣憤的 疑問著
Feeling angry and questioning myself
我剩了 最後的耐性 脾氣太硬
I'm too stubborn with very low patience
怎麼冷眼瞪著 卻說自己在整頓呢？悔恨著！
I know I'm fighting her but then I lied, said I'm trying, regret
我想保護 我最愛的人
I want to protect her from myself
可我卻扭曲她的好處 變最爛的人
But I'm always twisting her kindness and making her the enemy
犯罪的人 也曾經想誠心的澄清
Sinner all at once, I want to confess and be good
結果是藉口在騙我自己
But it's all excuses just so I can lie to myself
別面對自己的不安全感控制慾
I don't have to face my insecurity that turns into control

I need you here
Always near my dear

我出生 在這個世界
My mom left right after my birth
我用著哭聲 脆弱的向我生母致謝
I use my fragile crying and say thank you for giving birth to me
她是第一也是唯一必須用依賴的心態
She is the first and the only person I was supposed to rely on
我親愛的心脈 也是一切兵敗的侵害！
But even blood can't make her stay
她走了 順便摧毀我第一次信任
She left, destroying my first trust
成了心中不信任的定論 沒印證的氣憤
I learn to never trust again, but then the anger grows in me
心中的矛盾？逃避？饒了我吧！
So many voices in my head always
所有的聲音都別再議論！別記恨
Please give me a break, don't hate her
快點撕開心房嘗試再信任
Try to trust again
我信任我爸
I trust my Dad
我不想長大 總是找話題想找他講話
I don't want to grow up always finding excuses to be with him
是一種牽掛
Relying on him
但可惜瞞不過隱藏的變化
Because in life, everything changes
我走到九歲 我守候的一切是否像酒後的一夜 都不見了？
When I was 9, our 2 person team broke up again
你親那人是你新的心上人
He fell in love with a girl
稱呼母親的對象請在我心中先換人
And she become the person I have to call Mom
我只是嫉妒她要與我分享你的愛
I'm jealous that she gets to share your love with me
我知道你還是愛我
I know you still love me
我只是難過我用的詞是“還是”
I'm just sad that the word I use is ''still''

I need you here
Always near my dear

恨她？愛她？誠實的感受在哪？
Hate? Love? What are my real feelings?
剩下 掙扎 心中的路也已分岔
Left me struggle, my heart has different voices
別信任 一個病人 我心中有太多疑問
Can't trust myself, I'm sick, I have so many doubt
這信任 已經冰冷 我是我唯一的親人
Trust turned cold, I am the only person I can love

我只要信任誰 那個誰就離開
Whenever I trust someone, that person leaves
我只要記恨誰 那個誰就存在
When ever I hate someone, that person stays
我無法控制 我的控制慾
I can't control my feeling of controlling my lover
很諷刺的 我重視的是 擔心內心安全
But ironically I end up pushing her away to secure myself
我卻貪心得到愛
I'm greedy for love
我無法專心割掉心脈
Cant cut the desire for Mom
貪心所以期待
Still greedy, still hoping
一再被愛影響心態
Never in the right mind
關心都變奇怪
Even my caring is twisted
我其實一直信著愛能讓以前的傷不再是遺憾
I actually still believe that one day love can heal my wound
但或許愛是一種絕症 而我早已罹患！
But maybe love is cancer and I already have it

私の2020年の抱負は... Stay curious!

こんなステキな言葉を見つけました！
“No matter what goal you have, you can never achieve it unless you get started. The way to get started is to quit talking and begin doing.” - Walt Disney

紹介した本
“Look Up with Me” by Neil DeGrass Tyson

☆ 会話力がアップする勉強法 with SETH ☆
① 単語の覚え方と生活習慣 [#166]
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https://youtu.be/BCXsiXW1anQ
③ 英会話上達のために必要な成長痛 [#209]
https://youtu.be/qSZMmX_GvX0

☆ 英会話（と人生）の葛藤と成功 ☆
Comparison is the thief of joy I 憂鬱の原因と解消法を英語が教えてくれた！[#242]
https://youtu.be/b5_--OaSmR4
賢者の秘伝！英会話が上達しない日本人と英会話が上達する日本人の違い [#235]
https://youtu.be/GhyJcd9AQxQ
Progress I モヤモヤした気持ちを拭って現状を乗り越えたい！ [#228]
https://youtu.be/Xk9Tc1QUdOY
英会話の心得（少しディープです！） [#138]
https://youtu.be/TB89s3ibAQg
Fearless l 恐怖から勇気へ [#124]
https://youtu.be/xwxbjmw79Cc英語が覚えられない！… そんな時 [#85]
https://youtu.be/CCEAPS98F_U
私の英会話人生のはじまり [#65]
https://youtu.be/U-lIO_J9KZI
英会話（と人生）の成功の秘訣 I Showing up is 80% of life [#42]
https://youtu.be/c8SjSrA_bAI

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