쉐도잉 연습: Something Feels Off About 2026... - 영상으로 영어 말하기 배우기

레슨 만드는 중...
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2025 felt like the economy and markets were playing a giant game of financial chicken.
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On one side, bears were yelling about a recession on the horizon, and on the other side, bulls were buying AI stocks like it's the last Pokemon pack on the shelf.
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But over the last year, unemployment remained relatively low.
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Consumers kept swiping credit cards like it wasn't real money, and anyone who shorted NVIDIA aged a decade.
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It was a weird year, a confusing year, and now we're stepping into 2026 and things are only getting more chaotic.
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Rate cuts?
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Maybe.
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The AI bubble pops?
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Perhaps soft landing, hard landing, or no landing like my dating life, all possible.
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This is the year we could see markets blow the top off.
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Or it could be the year where you look back and think, "I should have just bought treasuries and shut the fk up." And,
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after getting flooded with messages asking what I think about the markets going into 2026, I realized something.
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Instead of answering hundreds of messages one by one, I could just make a video.
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And I know it's already 2026, and I'm a little late.
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But hey, at least we're here.
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And to be transparent, I see a few possible scenarios playing out.
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I see the bear case, the bull case, and the uncomfortable gray area in between that nobody seems to be talking about.
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So here's my 2026 market outlook and what I could see possibly happening.
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And because I'm emotionally wired for disappointment, let's start with the bear case.
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It's only right to start with the elephant in the room, because whether you think AI is going to reshape the global economy,
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or that it's the most overhyped technology since the Apple Vision Pro.
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One thing is clear: we may have gotten ahead of ourselves with the AI story.
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Because the numbers don't lie: NVIDIA trades at around 47x earnings, Palantir sits around 400x earnings, and Datadog?
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Well, try over 430x earnings.
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At this point, there's no investing on fundamentals.
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You're just pre -ordering hope.
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And the problem is, AI stocks are dragging the entire market up with them, because when NVIDIA goes up, it pulls semiconductors up, which pulls the tech sector up,
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which pulls the S &P up.
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And suddenly you look around and realize the S &P is trading at nearly 31 times earnings, which is nearly double the long -term average of around 16.
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And if these trading multiples normalize back to historical averages, it's not just AI stocks that take a hit, it's the whole market.
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And we haven't even talked about the circular spending problem or
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that 95 % of companies are realizing zero return in generative AI.
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But that's a whole different video for a whole different day.
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So for now, we'll move along to the next point in the bear case.
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Because there's another issue that goes hand in hand with the stretched valuations in the market.
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And that issue is, the market is top heavy.
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Because the S &P 500 isn't being lifted evenly by the 500 different companies.
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It's being dragged higher by a small handful of tech stocks.
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Some people call them "big tech." Some call them the Magnificent Seven.
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Wait, not that one.
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Anyways, I just call them 35 % of the entire S &P 500.
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That's right, over a third of the entire index's total market cap, and an even larger share of its returns, come from just seven companies.
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Because through the first three quarters of 2025, the MAG -7 accounted for over 41 % of the S &P's total returns.
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And if you swap Tesla with Broadcom and the MAG -7, that contribution increases to over 55%.
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This means the index that's supposed to represent broad diversification across industries is quietly turning into a very concentrated bet.
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And that's something to worry about because it's starting to look like a group project where two people do all the work, and everyone else still gets the credit.
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And the explosion in passive investing is quietly pouring fuel on the fire.
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Because most index funds and ETFs that track major benchmarks are market cap weighted,
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meaning a stock's influence in an index is directly proportional to the market cap of that company.
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Basically, the bigger the company, the more weight it receives in the index, and the more impact it has on how the index performs.
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So, as these tech stocks grow larger, they naturally take up a larger share of the index, and when new capital flows into these funds,
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it disproportionately gets allocated to those same tech names.
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It's a feedback loop that's beautiful.
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right up until it isn't.
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Because when indices become this top -heavy, small moves can turn into big problems.
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For example, a 10 % pullback in Nvidia's stock doesn't stay isolated in Nvidia.
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It bleeds into the NASDAQ, the S &P 500, and then creates broader market pressure.
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And suddenly, what you thought was a "diversified portfolio" is reacting to the mood swings of a handful of stocks.
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So, while everything appears to be fine right now, all it takes is the MAG7 stocks to stumble, for the whole market to slip.
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Which brings us to the final point in the bear case.
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I'm not saying a crash is imminent, and I'm not predicting financial Armageddon, but statistically speaking, we're overdue for a down year.
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Nerds would call this a reversion to the mean.
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Because markets, especially U .S equities, go through cycles, and since 1954,
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the S &P 500 has averaged a pullback of at least 10 % about once every three years.
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And after several years of outsized returns, history tends to tell us we need to pump the brakes.
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Because corrections aren't anomalies, they're actually normal and healthy.
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However, as Michael Burry showed us recently, going short the market because of a gut feeling is probably not the best strategy.
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because as famous economist John Maynard Keynes once said, markets can remain irrational longer than you can remain solvent.
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And that's the uncomfortable truth about the bear case.
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You can be right on valuations, right on unhealthy concentrations and indices, and right on overextended rallies.
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But still be wrong.
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because being right too early is indistinguishable from being wrong.
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Which brings us to our bull case.
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Because what if markets continue to rip?
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What if they don't care about historical averages?
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And what if markets continue to remain irrational?
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So let's start with the fundamental tailwind that bulls are clinging to.
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Because whether you trust the Fed, or you think Jerome Powell runs monetary policy decisions through a magic 8 -ball, one thing is clear: interest rates are coming down.
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2025 ended with the Fed delivering three consecutive 25 basis point cuts.
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And going into 2026, the median expectation is at least one additional cut.
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And lower rates means cheaper capital.
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And cheaper capital means higher valuations.
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And higher valuations means investors are more comfortable paying premiums for future earnings.
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And that's why rate cuts don't just matter to borrowers, but also to valuations and trading multiples.
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Because liquidity loosens, financial conditions ease, and risk on assets that's come alive.
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And that's how you can see markets grind higher, even when underlying economic data may feel mixed, confusing, or slightly uncomfortable.
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But just because the broader macro picture may feel uncomfortable, it doesn't mean that you also have to be.
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Which brings us to the sponsor of today's video, Flexispot.
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Because 2026 will probably be a year in which you're spending more time at your desk reading 10Ks, looking at charts, and tracking news flow.
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Which is why investing in a quality setup matters.
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If you're interested in the E7 Pro, I'll leave a link below and you can use my code to get $30 off.
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And now back to markets, because the monetary policy backdrop I previously covered is only half the story.
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The other half is fiscal policy, which brings us to the next point in our bull case.
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Because while the Federal Reserve argues over quarter point cuts, the U .S government is doing something far more impactful: spending.
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Which is why the United States now runs on a more than trillion dollar deficit annually.
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And I've made videos on this channel about how the deficit is becoming a serious problem, and the potential long -term damage it will cause.
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But the reality is, in the short term, it brings some benefits as well, because government spending puts money directly into the system.
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It supports consumer demand, props up corporate revenues, and keeps economic activity high.
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And unlike monetary policy, fiscal policy is slow to change, because programs don't get shut down overnight, budgets don't just get suddenly slashed,
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and politicians don't win elections by campaigning on frugality.
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So even if growth cools, the fiscal backdrop remains supportive in the short term, and that matters.
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But that's also where the confusion begins.
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Because when fundamental tailwinds collide with real structural risks, markets rarely move in clean, predictable ways.
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Which brings us to the final point in today's video: the most likely outcome is the one nobody's positioned for.
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On one side, you have the optimists, the people talking about rate cuts, continued government spending, and how AI is the best thing since sliced bread.
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These are the people expecting the market to rally through 2026.
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And on the other side, you have the pessimists, the people talking about an AI bubble, a top -heavy market, stretched valuations, and how we're overdue for a correction.
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These are the people expecting 2026 to finally be the year things break.
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But here's the scenario I have yet to see anyone talk about.
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Not a melt -up, not a crash, but a market somewhere in the middle.
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The kind of market where headlines flip every two weeks, rallies stall just as confidence rises, and dips feel scary without ever bringing real opportunities.
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I'm talking about a long, choppy, sideways price action year.
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And it's these markets that are often the hardest to survive.
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It's where impatience destroys portfolios.
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It's this gray area in between a bull and bear market that is so dangerous.
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It's a market where every stock feels eerie, every decision feels wrong, and capital just rotates between asset classes.
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And when markets feel like this, it's a good reminder that nobody actually knows what the hell is going to happen next.
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And if anyone tells you they do, well, they're either lying, trying to sell you something, or both.
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Because the best thing you can do is absorb as much information as possible, and then come to your own conclusions.
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And now that I've laid out some of the different scenarios I see for 2026, I want to hear where you land on things.
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Do you think 2026 is the year things start to break?
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Do you think it's the year we rally higher?
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Or do you think something else is going to happen?
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Drop your take in the comments, and let's see how split everyone really is.
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Oh, and before I go, if you want a pretty sweet desk, remember to check out FlexiSpot below.

이 레슨의 어휘와 말하기 포인트

이 B2 수준 말하기 레슨은 영상 “Something Feels Off About 2026..”을(를) 바탕으로 합니다. 이 영상에는 섀도잉할 문장 132개와 단어 1965개가 있습니다. 말하는 구간의 길이는 11:17입니다. 화자는 분당 약 174단어로, 일상 대화에 가까운 자연스러운 속도로 말합니다. 영어에서 가장 많이 쓰이는 3,000단어에 속하는 단어가 79%뿐이라 어휘가 어려운 편입니다.

이 영상의 핵심 어휘

영상에서 가장 어려운 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어발음뜻
uncomfortable 형용사/ʌnˈkʌm.fɚ.tə.bl̩/불편하다
monetary 형용사/ˈmʌnɪtəɹi/화폐
scenario 명사/sɪˈnɛəɹioʊ/각본, 대본
irrational 형용사/ɪˈɹæʃ.(ə.)nəl/불합리한
confuse 동사/kənˈfjuːz/혼란시키다
deficit 명사/ˈdɛfəsɪt/적자
quietly 부사/ˈkwaɪ.ɪt.li/조용하게, 조용히
portfolio 명사/pɔːtˈfəʊ.liˌəʊ/포트폴리오
bubble 명사/ˈbʌbəl/거품
anomaly 명사/əˈnɑ.mə.li/예외
borrower 명사/ˈbɑɹoʊɚ/차용자, 대출자
collide 동사/kəˈlaɪd/충돌하다, 부딪히다
diversification 명사/daɪˌvɜːsɪfɪˈkeɪʃən/다양화, 다원화
diversify 동사/daɪˈvɝ.sə.faɪ/다원화하다, 다양화하다
liquidity 명사/lɪkˈwɪdəti/환금성

영상에 나오는 구동사

단어뜻
come down 동사내려오다
go up 동사올라가다
look around 동사둘러보다
look back 동사돌아보다

따라 말해 볼 만한 문장

영상에 나오는 짧고 완결된 문장으로, 일상 대화에서 그대로 쓸 수 있습니다:

  • You're just pre -ordering hope.
  • What if they don't care about historical averages?
  • Do you think it's the year we rally higher?

이 영상의 문법

화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형영상 속 표현
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때haven't even talked · has averaged · I've made
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점being lifted · being dragged
관계절 who / which + 절 — 사람이나 사물에 대한 추가 정보anyone who shorted · earnings, which is

주의할 발음

화자는 don't, I'm, we're 같은 축약형과 약화된 형태를 32번 사용합니다. 들리는 대로 짧게 발음하세요.

  • “sh”와 “zh” 소리: valuation /ˌvæ.ljuːˈeɪ.ʃən/, irrational /ɪˈɹæʃ.(ə.)nəl/, disproportionately /ˈdɪs.pɹəˌpɔɹ.ʃən.ət.li/, diversification /daɪˌvɜːsɪfɪˈkeɪʃən/, impatience /ɪmˈpeɪʃəns/
  • 긴 단어 — 강세 위치에 주의: valuation /ˌvæ.ljuːˈeɪ.ʃən/, uncomfortable /ʌnˈkʌm.fɚ.tə.bl̩/, monetary /ˈmʌnɪtəɹi/, irrational /ɪˈɹæʃ.(ə.)nəl/, portfolio /pɔːtˈfəʊ.liˌəʊ/

한국어 화자가 어려워하는 소리:

  • /f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: uncomfortable /ʌnˈkʌm.fɚ.tə.bl̩/, confuse /kənˈfjuːz/, deficit /ˈdɛfəsɪt/, handful /ˈhæn(d)fʊl/, portfolio /pɔːtˈfəʊ.liˌəʊ/
  • /v/ — ㅂ(/b/)과 구별하기: valuation /ˌvæ.ljuːˈeɪ.ʃən/, overdue /ˌoʊ.vəɹˈdu/, diversification /daɪˌvɜːsɪfɪˈkeɪʃən/, diversify /daɪˈvɝ.sə.faɪ/, generative /ˈd͡ʒɛnəɹətɪv/
  • /z/ — ㅈ이 아니라 성대를 울리는 /s/: confuse /kənˈfjuːz/, normalize /ˈnɔː.mə.laɪz/, sideways /ˈsaɪdweɪz/, corrections /kəˈɹɛkʃənz/, anyways /ˈɛn.iˌweɪz/

이 영상으로 연습하는 방법

  1. 먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
  2. 0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
  3. 자신의 목소리를 녹음해 원본과 비교하고, uncomfortable, monetary, scenario 같은 단어에 특히 주의합니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

섀도잉 방법: 단계별 전체 가이드 읽기 →