Full transcript
0:00In 2020, millions of investors sold when
0:02the market crashed, locking in losses of
0:0430% or more. Within 5 months, the market
0:07had fully recovered. The people who
0:09stayed invested got their money back.
0:12The ones who sold didn't just take the
0:13loss, they missed the recovery, too. And
0:16that's where the real damage happened.
0:18Because once you're out, you have to
0:19decide when to get back in. And most
0:21people get that decision wrong, as well.
0:23So, what started as a temporary drop
0:25turns into a permanent setback. Years of
0:28progress gone in a few decisions that
0:30felt completely justified at the time.
0:33And here's the part most people
0:34misunderstand. That decision to sell
0:37wasn't really about strategy. It felt
0:39rational. It felt careful.
0:42It felt like the right move.
0:44But something else was driving it. And
0:46once you see what that is, you start to
0:47realize how easily it can happen again.
0:50Even if you think you'd handle it
0:51differently. In this video, I'm going to
0:54break down what actually causes
0:55investors to make that decision.
0:58And how to avoid turning the next
0:59downturn into a mistake you can't
1:01recover from. You probably already know
1:03the advice. Buy and hold. Don't time the
1:06market. Ride it out. And you probably
1:08believe it. Not just as a concept, but
1:11genuinely. You've read it. You've nodded
1:13along to it.
1:14You might have said it out loud to
1:15someone else who was panicking and felt
1:17pretty confident that you meant it. But
1:19there's a gap between knowing something
1:20and being able to execute it under
1:22pressure. And in personal finance, that
1:24gap is wider than most people are
1:26willing to admit before they experience
1:27it first hand. Vanguard's behavioral
1:30research has tracked what actually
1:31happens when markets drop hard and fast,
1:33and the picture isn't flattering. A
1:35meaningful portion of investors who
1:37report high confidence in their ability
1:39to stay the course during a hypothetical
1:41market downturn don't actually stay the
1:43course when the downturn is real. The
1:45intellectual conviction they had sitting
1:47comfortably during normal times doesn't
1:50show up with the same force when the
1:51number on the screen is moving the wrong
1:53direction every single day for 3 weeks
1:55straight. What's actually happening is
1:57something specific and predictable
1:59running in a part of your brain that
2:01financial advice has never been aimed
2:02at. The logic of buy and hold is
2:04correct. The problem is that the logic
2:07gets delivered to your prefrontal
2:08cortex, which is not the system that
2:10takes over when everything feels like
2:11it's on fire. Your prefrontal cortex
2:14knows to buy and hold. Your amygdala
2:16doesn't speak that language. And when
2:18the threat signal hits hard enough,
2:20those two systems aren't running a
2:21committee meeting. One of them just
2:23takes over. What that means for your
2:25money and why it's costing investors far
2:27more than they realize is something
2:29Dalbar has been measuring for over 20
2:31years. There's a report that the
2:33investment research firm Dalbar
2:34publishes annually called the
2:36quantitative analysis of investor
2:38behavior. It has been running since 1994
2:41and it tracks one specific thing. The
2:43difference between what the market
2:44returns and what the average investor
2:46actually earns. That gap is stubborn and
2:49it doesn't respond to the things you'd
2:50expect. More accessible investing tools
2:53haven't closed it. More sophisticated
2:55financial media hasn't closed it.
2:58The average investor consistently
3:00underperforms the market not because
3:02they chose bad funds or paid high fees
3:04but because of what they do with their
3:06accounts when volatility spikes. In
3:082022, the S&P 500 finished down about
3:1218% for the year. The average equity
3:15fund investor finished down closer to
3:1621%.
3:18They didn't absorb the same loss as the
3:19market. They absorbed more because they
3:22were making moves. Selling when things
3:24looked bad, sitting out some of the
3:26recoveries, getting back in late. Over a
3:2930-year period in Dalbar's data through
3:30the early 2020s, the S&P 500 compounded
3:34at roughly 10% annually. The average
3:37equity investor compounded at closer to
3:396%.
3:41Run those two numbers on a $100,000
3:44starting balance over 30 years and you
3:46get a difference of more than $700,000.
3:49For a lot of people that gap is the
3:50difference between having options in
3:52their 60s and not having them. The cause
3:55wasn't bad fund selection or high fees.
3:57It was behavior during a handful of
3:59volatile weeks spread across a 30-year
4:01investing life. The cause of that gap,
4:03according to Dalbar's analysis year
4:05after year, is behavioral. Fees matter
4:08at the margins, fund selection matters a
4:10little, but neither explains a 4-point
4:13annual return gap compounding over three
4:15decades. What explains it is voluntary
4:17exits from the market during periods of
4:19peak fear, followed by delayed or
4:21mistimed re-entry. Selling low and then
4:24either staying out too long or buying
4:26back in after the recovery has already
4:28happened. The market, left alone,
4:30eventually recovers.
4:32The investor who intervened doesn't
4:34benefit from that recovery.
4:36And most people who exit during a panic
4:38don't just sit in cash calmly waiting
4:40for a clear signal. They stay out
4:42through the anxiety, re-enter
4:44tentatively when things feel stable, and
4:46then watch what they bought start
4:47dropping again because economic cycles
4:49don't care about your emotional
4:51timeline. The market wasn't the problem.
4:53The decision made in the middle of peak
4:55fear was the problem. And understanding
4:57where that decision actually comes from
4:59changes everything about what you can do
5:00to prevent it. When a market drops hard,
5:03not a short-term dip that bounces back
5:05in a week, but a real sustained decline
5:08that goes down for days and then weeks
5:09with no clear floor, something specific
5:12happens in your nervous system that no
5:14one in mainstream financial advice
5:16explains with any precision. Your
5:18brain's threat detection system is
5:19centered in a structure called the
5:21amygdala,
5:22and it does not distinguish particularly
5:24well between different types of danger.
5:27Physical threat, social threat,
5:29financial threat, the activation pattern
5:31is similar enough that the emotional
5:33output feels the same. Loss aversion,
5:35the phenomenon that Daniel Kahneman and
5:37Amos Tversky documented through decades
5:39of research at Princeton and Stanford,
5:42shows that the psychological pain of
5:43losing a given amount of money hits
5:45roughly twice as hard as the pleasure of
5:47gaining the same amount. That asymmetry
5:50is deeply wired. It likely has
5:52evolutionary roots in the fact that our
5:54ancestors, who were more sensitive to
5:55loss, survived longer than those who
5:57weren't. The problem is that the market
5:59didn't exist in the ancestral
6:01environment, and the calibration for
6:03dangerous loss is way too sensitive for
6:05a portfolio fluctuation. But, there's a
6:07layer to this that makes market panics
6:09even more destructive than most people
6:11understand.
6:13Loss aversion doesn't work on a timer.
6:15The pain of a paper loss doesn't
6:16stabilize once you've intellectually
6:18accepted that you're holding for the
6:20long term. It resets. Every morning you
6:23open your brokerage app and see a lower
6:25number, your brain processes that as a
6:27new loss event, not as a continuation of
6:29the one you already processed.
6:31By day 10 of a steep decline, you're not
6:34experiencing one large loss. You're
6:36experiencing 10 consecutive days of
6:38distinct loss signals, each hitting with
6:41something close to the same intensity as
6:42the first.
6:44The cumulative weight of that is
6:45enormous, and the behavioral science on
6:48how long people can withstand sustained
6:50aversive stimuli before taking action to
6:52end it is not encouraging. Psychologists
6:55refer to availability cascade as the
6:57process by which recent, vivid,
7:00emotionally charged events become
7:01disproportionately weighted in your
7:03decision-making.
7:04During a severe market drop, your
7:06recency bias is running at full
7:07capacity. A portfolio that's been
7:09declining for 3 weeks doesn't feel like
7:12a temporary fluctuation in the context
7:14of a long investment horizon.
7:16It feels like evidence of what's really
7:18happening. Your brain starts pulling up
7:20the worst financial scenarios it has
7:22access to. The 2008 financial crisis,
7:26the dot-com collapse, the Great
7:28Depression, not as distant historical
7:31events, but as pattern templates, as
7:33things that happened before and could be
7:36happening again right now. And this is
7:38where the mechanism becomes genuinely
7:40hard to catch in real time. In that
7:42neurological state with loss aversion
7:45compounding daily, the availability
7:47cascade selecting for worst-case
7:49outcomes, and threat detection running
7:51at maximum activation, the decision to
7:54sell doesn't feel like emotional panic.
7:56It feels like an informed, rational
7:58response to a deteriorating situation,
8:00like you're gathering new evidence,
8:02updating your assessment, and making a
8:04responsible adjustment.
8:06The internal experience of panic selling
8:08and the internal experience of
8:09disciplined risk management feel
8:11remarkably similar from the inside.
8:13That's what makes this so hard to catch
8:15in yourself. The mechanism doesn't
8:17announce itself. It disguises itself as
8:19logic. And the more sophisticated you
8:21are as an investor, the better you are
8:24at generating a coherent narrative for
8:26why this time is different and why
8:28getting out now is actually the smart
8:30move. This is where the research gets
8:32uncomfortable because the people most
8:34likely to make a panic selling decision
8:36aren't the people who ignore their
8:37investments. They're the people who are
8:39paying close attention. Think about it
8:41from a behavioral exposure standpoint.
8:43If you check your portfolio once a
8:45month, you experience 12 loss signals
8:47per year in a declining market. If
8:49you're engaged, tracking market news
8:51daily, checking your balance whenever a
8:53notable market move happens, which
8:55during a downturn is every single day,
8:58you're experiencing 50, 70, 100, or more
9:01discrete loss registrations over the
9:03same period. Dalbar's research and the
9:05broader behavioral finance literature
9:07have consistently found that investment
9:09activity spikes during high volatility
9:11periods. And the investors who are most
9:13active during those periods are not the
9:15least informed ones. They're among the
9:18most informed, most engaged, most
9:20financially attentive people in the
9:22market. The sophistication doesn't
9:24insulate you from the mechanism. In some
9:26cases, it actively increases your
9:28exposure to it. Because being
9:30financially sophisticated also means you
9:32have more sophisticated stories
9:33available to justify what you're
9:35feeling.
9:36You can connect the current drop to
9:38macroeconomic indicators, historical
9:40parallels, structural risks. The
9:42reasoning sounds more airtight than I'm
9:44scared.
9:46But underneath the analysis, the same
9:47neurological sequence is running.
9:50There's a deeper layer to this that most
9:51people don't look at directly.
9:54When you watch your portfolio fall
9:55during a sustained downturn, part of
9:57what's being threatened isn't just the
9:59balance. It's the narrative you have
10:01about yourself as someone who handles
10:03money responsibly. You built a plan. You
10:06made contributions. You diversified. You
10:09did the things that careful, thoughtful
10:10people do. And now the number on your
10:13screen appears to be telling you that
10:14something went wrong. That the plan
10:16isn't working the way it was supposed
10:18to. For people who tie their sense of
10:19competence and responsibility to their
10:21financial behavior, and research by Brad
10:24Klontz at Kansas State shows that this
10:26identity attachment is extremely common
10:28among high-achieving adults, a sustained
10:30portfolio decline doesn't just threaten
10:33the money. It threatens the self-image.
10:35The version of yourself who is on track,
10:37who made smart choices, who is different
10:39from the people who didn't bother, that
10:41version is suddenly being called into
10:43question by the data on your screen.
10:46Selling in that moment feels like
10:48reasserting the narrative, like doing
10:50something intelligent before the
10:51situation deteriorates further. What it
10:53actually does is crystallize a paper
10:55loss into a permanent one, remove you
10:58from the recovery that follows almost
10:59every major market decline, and then set
11:02up what is arguably the worst part of
11:03the whole sequence. You now have to
11:05decide when to get back in. That
11:07re-entry problem is what most people
11:09don't fully account for when they think
11:11about the cost of panic selling. Because
11:13the moment you exit, your psychological
11:15relationship with the market changes.
11:18Now, you're not a long-term investor
11:20riding out volatility. You're someone
11:22sitting in cash who needs to make a
11:24timing call. And that timing call
11:26carries exactly the same emotional
11:28weight as the one that got you out. Only
11:30now you're trying to find a moment of
11:31enough stability to feel justified
11:33reentering, and markets don't produce
11:36those moments on request.
11:38Most panic sellers, according to
11:39Dalbar's re-entry timing data, wait
11:42until conditions feel safe.
11:44Conditions feeling safe typically means
11:46prices have already recovered
11:47substantially, which means they locked
11:49in the loss and missed a substantial
11:50portion of the rebound. That's the
11:52cycle. People who swore after 2008 that
11:55they'd never make that mistake again
11:57made the same mistake in 2020. The
11:59intellectual lesson from the last crash
12:01doesn't override the amygdala response
12:03during the next one. Not without
12:05something more structural in place.
12:07If this is already hitting close to
12:09home, take a second and subscribe. New
12:12videos every week on exactly why your
12:14brain makes money harder than it needs
12:15to be. And because the hardest part of
12:17this isn't knowing the problem, it's
12:19knowing what to actually do differently
12:20when the next crash comes. That's where
12:22we're going next. The standard response
12:24to everything covered so far is some
12:26version of stay calm, think long term,
12:30don't make emotional decisions.
12:32And that advice, while technically
12:34correct, is about as useful as telling
12:36someone in the middle of a panic attack
12:38to just breathe normally.
12:40The logic is sound. The problem is which
12:43system it's being delivered to.
12:44Neuroscience research from Joseph LeDoux
12:47at NYU, who has spent his career
12:49studying the amygdala's role in fear and
12:51threat response, shows that the
12:53emotional response to a threat signal
12:55arrives in the brain approximately 120
12:58to 150
13:00milliseconds before the prefrontal
13:01cortex even begins its conscious
13:03evaluation of the situation. The part of
13:06your brain that wants to sell gets the
13:07signal first. By the time your reasoning
13:09brain is constructing a counter
13:11argument, the emotional response has
13:13already begun shaping your perception of
13:14the options. You're not making a purely
13:17rational decision that then gets
13:18influenced by emotions. You're making an
13:20emotionally inflicted decision that then
13:22gets rationalized. You can't think your
13:25way out of a response that arrived
13:26before the thinking started. But, you
13:28can build the architecture of the
13:30decision before the threat state
13:32arrives.
13:33Behavioral economists call this
13:35pre-commitment. It's the idea that you
13:37make binding decisions about your future
13:39behavior during a calm, rational state
13:42so that the future version of you under
13:44stress doesn't have to start from
13:46scratch. Richard Thaler, whose work in
13:48behavioral economics earned him the
13:50Nobel Prize in 2017,
13:53documented how systematically people
13:55make better long-term decisions when
13:57they pre-commit to rules during
13:59low-stress conditions than when they try
14:01to make the same decisions in real time
14:03under pressure. In practical terms, this
14:05means a few specific things that most
14:07investors don't actually do. The first
14:10is a written investment policy
14:11statement, not a mental note, an actual
14:14document written in advance that
14:16specifies exactly what you will and
14:18won't do when the market drops by
14:19specific percentages. At 10% down, you
14:23rebalance.
14:25At 20% down, you increase contributions
14:28if cash flow allows.
14:30Under no circumstances do you sell
14:31holdings in your long-term accounts,
14:33regardless of what you're feeling or
14:34what the news is saying. When that
14:36document exists, and you've committed to
14:38it in writing during a calm period, it
14:40becomes the decision you made when you
14:42were thinking clearly. And it serves as
14:44a counterweight to the certainty you're
14:46going to feel during the next drop that
14:47getting out is the right call. The
14:49second is friction. One of the most
14:51underappreciated behavioral tools in
14:53personal finance is the simple act of
14:55adding steps between impulse and
14:57execution. Vanguard's research on
14:59investor behavior found that automatic
15:01investment programs, the kind where
15:03contributions continue without any
15:05action required during downturns,
15:07dramatically outperform accounts where
15:08the investor has to make an active
15:10choice each period. The reason is that
15:12during normal conditions, people
15:14actively contribute. During panic
15:16conditions, they stop. Automatic
15:18programs eliminate the active choice and
15:20replace it with default continuation.
15:22The investor who panics has to actively
15:24override the automation to exit. Most
15:27don't. They just feel bad for a while
15:29and stay invested. The third is a
15:31restriction on checking.
15:33This one is harder for engaged investors
15:35because it feels irresponsible, but the
15:37data is clear. Monitoring frequency
15:39during volatile periods is one of the
15:41strongest behavioral predictors of panic
15:43selling. Ulrike Malmendier at UC
15:46Berkeley, whose research examines how
15:48personal experiences shape economic
15:50decisions, found that investors who
15:52experienced major market downturns as
15:54young adults developed systematically
15:56more risk-averse behaviors for decades
15:58afterward. The more you watch a
16:00declining market, the more your recency
16:02bias loads it with meaning. Setting a
16:04rule like once a week maximum portfolio
16:06checks during volatile periods, paired
16:09with a specific checklist of decisions
16:11you are and are not allowed to make,
16:13reduces exposure to the availability
16:14cascade before it can build to a tipping
16:17point. The architecture does what the
16:19willpower can't. Not because it makes
16:21you a better, calmer, more disciplined
16:23investor, but because it removes the
16:25decisions that your threat-activated
16:27brain shouldn't be making. There's a
16:29specific number worth sitting with
16:30before we bring this to a close. If you
16:32invested $50,000 in a broad S&P 500
16:35index fund at the start of 2020 and you
16:37sold in March at the bottom when the
16:39market was down roughly 34%, you locked
16:42in a loss of around $17,000.
16:44You walked away with approximately
16:46$33,000.
16:48Now, let's say you were more cautious
16:50than the average panic seller and only
16:52waited 6 months to get back in. That's
16:54actually faster re-entry than Dalbar's
16:56data shows for the typical investor
16:57coming out of a panic exit. But, even at
17:006 months, the S&P 500 had largely
17:03recovered to where it started.
17:05You were buying the same index at
17:07roughly the same prices you sold it at,
17:09except now you had $17,000 less to
17:11deploy.
17:12You didn't lose that money to the
17:14market.
17:15The market came back. You lost it to the
17:17decision made inside a 72-hour window
17:20around the worst days of the decline.
17:22The window when the availability cascade
17:24hit its peak. When the loss signals were
17:26arriving at maximum frequency. When
17:28every check of the account was adding
17:30another data point to the brain's threat
17:32assessment. That's the window where
17:34Dalbar's analysis places the majority of
17:36panic selling activity. Not when markets
17:39first start falling. When the falling
17:41has been happening long enough that
17:42stopping feels impossible. And the
17:44harder truth is that this window is not
17:46a historical footnote. It's a recurring
17:48feature of how markets work. There have
17:51been 20% or greater drawdowns in the US
17:53market in 1987, 2001, 2002, 2008, 2009,
18:002011, 2018, 2020, and 2022.
18:06That's nine instances of major panic
18:08eligible volatility in roughly 35 years.
18:11Morningstar's long-term market data puts
18:13the average frequency of a 20% or
18:15greater decline at roughly once every
18:17three to five years over extended
18:19historical periods.
18:21The next one isn't a possibility you
18:22need to prepare for abstractly. It's a
18:24scheduled event on a timeline you don't
18:26have advanced access to. The question
18:28isn't whether you'll face that window
18:29again. You will. The question is whether
18:31you'll enter it with architecture in
18:33place or whether you'll enter it the
18:35same way most people do. With the
18:37genuine belief that this time you'll
18:39handle it differently and then find
18:41yourself in month two of a decline with
18:43the same neurological sequence running
18:45that you swore after the last crash
18:46you'd figured out. Because your brain in
18:48that window will feel certain. It won't
18:51feel like panic. It will feel like
18:52clarity. Like you're finally seeing
18:54things accurately after a period of
18:56wishful thinking. The internal
18:58experience will be persuasive in a way
19:00that's hard to describe until you've
19:01been inside it. The only thing that
19:03reliably beats that feeling isn't
19:05stronger conviction, better market
19:08knowledge, or more emotional
19:09self-awareness. It's a decision that was
19:11already made on paper during a week when
19:14none of this felt urgent. That's the
19:16mistake. A single decision made in a
19:1972-hour window of maximum threat
19:22activation that can cost years of
19:24compounding and set back a retirement
19:26timeline by more than the average
19:28investor ever calculates when they think
19:30about what the drop cost them.
19:33You know what it is now, why it happens,
19:36and what to build before the window
19:37opens again. You didn't fail when it
19:39mattered most. You ran a biological
19:41sequence that nobody warned you about
19:43clearly enough, and that sequence is
19:45older and faster than any financial
19:47advice you've ever received. You are a
19:49person running hardware that was built
19:51for a very different kind of threat than
19:53a fluctuating portfolio balance, and
19:55nobody in mainstream financial education
19:57told you clearly enough that the
19:59feelings you experience during a
20:00sustained market decline are
20:02neurologically indistinguishable from
20:04being in genuine physical danger. The
20:06sense of urgency is real.
20:08The certainty is real.
20:10The feeling that doing something is more
20:12protective than doing nothing is real.
20:15And it's a mismatch between your brain's
20:17design and the environment it's
20:18operating in.
20:20The system wasn't built for you. The
20:22emotional architecture of panic selling
20:24is a predictable biological sequence,
20:27not a personal shortcoming that Dalbar's
20:29data shows has cost the average investor
20:31between 3% and 4% annually across
20:33decades. Over a 30-year investing
20:36horizon, that compounds into a number
20:38that is, for most people, larger than
20:40any single financial mistake they'll
20:42ever make intentionally. The gap isn't
20:44dramatic. It doesn't happen all at once.
20:47It accumulates quietly, one panic
20:49decision per crash cycle,
20:52until the retirement math stops working
20:54out the way the projections set it
20:55would. So, the work isn't to become a
20:58more disciplined, emotionally controlled
21:00investor. The work is to build the
21:02decision before you need it. Write the
21:05policy statement.
21:06Set the architecture.
21:08Add the friction. Reduce the monitoring
21:11during volatile periods.
21:13Because the version of you sitting
21:14calmly at your desk right now is the
21:16best decision maker you have access to.
21:18The version of you in month two of a
21:20steep decline running on accumulated
21:22loss signals and peak availability
21:24cascade is a different person with
21:26access to the same account.
21:28Give the calm version the authority. Put
21:31it in writing. And the next time that
21:33window opens, and it will, you'll
21:35already know what you decided. If this
21:37raised more questions than it answered,
21:39particularly around what a real
21:41investment policy statement looks like,
21:43and why the one specific step most
21:45people skip is the one that does the
21:47most work, that's exactly what's coming
21:49next.