You’ve probably had this moment. Someone makes an argument that sounds airtight, you nod along, and an hour later, in the shower, you spot the hole in it. Or you make a choice that felt obvious at the time and, a month later, can’t quite reconstruct why.
That gap between “sounded right” and “was right” is where reasoning lives. And employers have noticed. In the World Economic Forum’s Future of Jobs Report 2025 (published January 2025, based on a survey of more than 1,000 employers), analytical thinking was again the top core skill, with seven in ten companies calling it essential.
Reasoning isn’t a fixed trait you either got or didn’t. It’s a set of habits: when you slow down, what you check, who you argue with, how you treat your own ideas. Some of those habits have surprisingly strong evidence behind them. Others, like the brain-training apps you’ve seen advertised, have much less than you’d hope.
Below are 24 ways to sharpen your thinking, each backed by research, data or a real-world case. You don’t need all of them. Pick two or three that fit your week and start there.
1. Pause before you trust your first answer
Your brain is fast at producing answers. It’s less keen on checking them. The classic demonstration is the Cognitive Reflection Test, a set of puzzles designed so that a quick, confident and wrong answer pops into your head first.
The encouraging part is that the habit of checking can be nudged. In two experiments with 491 college students, Dustin Calvillo and colleagues (Thinking & Reasoning, 2023) found that people who got elaborative feedback, or who were simply told to consider other possible answers before settling on one, scored better on a second version of the test. The control group didn’t improve. One honest caveat: the gains didn’t carry over to related reasoning tasks, so this is a habit you have to apply on purpose, not a switch that flips everywhere.
Why does it work at all? Because the wrong answer usually arrives first and feels finished. Asking “what else could it be?” forces a second candidate onto the table, and comparison is where errors show up. If you struggle to hold that pause, practising focusing on one thing at a time helps.
Next time, do this: before you commit to any answer that came to you instantly, write down one alternative and spend ten seconds comparing the two.
2. Try explaining how it actually works
Here’s the mechanism behind a lot of fuzzy thinking. You’ve seen a zipper thousands of times, so it feels familiar. Familiarity gets mistaken for understanding. Then someone asks you to explain, step by step, how the teeth lock together, and the confidence evaporates. Psychologists call this the illusion of explanatory depth.
The fix is built into the problem: try to explain. A 2023 paper by Ethan Meyers and colleagues in Judgment and Decision Making ran three preregistered studies and found something striking. After people tried to explain how a zipper works, they also rated their knowledge of unrelated things, like how snow forms, as lower. One failed explanation seemed to recalibrate their confidence more broadly.
That matters for reasoning because you can’t argue well about a policy, a diagnosis or a budget you only think you understand. Writing out the causal chain exposes the missing link before someone else does. It’s also a good way to stay curious as an adult, because every gap you find becomes a question worth chasing.
Pick a topic you hold a firm opinion on and explain, in five numbered steps, how the thing you’re opining about actually works.
3. Start with the base rate
Before you judge your specific case, ask how cases like it usually turn out. This “outside view” sounds dull. The numbers say otherwise.
Oxford professor Bent Flyvbjerg has built a database of more than 16,000 projects, from IT systems to bridges. In How Big Things Get Done (2023, with Dan Gardner), he reports that 91.5% of projects ran over budget, over schedule or both, and only 0.5% came in on budget, on time and delivered the expected benefits. Most of those teams believed their project was the exception.
| Outcome across 16,000+ projects (Flyvbjerg & Gardner, 2023) | Share |
|---|---|
| Over budget, over time, or both | 91.5% |
| Missed on budget, schedule or benefits (at least one) | 99.5% |
The remedy, reference class forecasting, has a real track record. The UK Department for Transport and HM Treasury first applied it in 2004 to the cost forecast for the Edinburgh tram extension, and it was later used on London’s Crossrail. The method is simple: find similar past projects, look at how far off they were, and adjust your estimate by that much.
Here’s a simple way in: the next time you estimate how long something will take, look up or recall how long the last three similar jobs actually took, and start from their average rather than your gut.
4. Run a premortem
Psychologist Gary Klein, writing in Harvard Business Review in 2007, proposed a twist on risk planning. Instead of asking “what could go wrong?”, the team imagines it’s months later and the project has failed badly, then everyone writes down why it failed.
Klein built the idea on a 1989 study by Deborah Mitchell, Jay Russo and Nancy Pennington, who found that imagining an outcome had already happened (they called it prospective hindsight) increased the number of reasons people generated by about 30%. Note the detail: more reasons, not proven better accuracy. The technique widens your search; it doesn’t guarantee you’ll find the right flaw.
Klein also argued the framing has a social benefit. Pointing out weaknesses stops feeling disloyal when the failure is a given and everyone’s job is to explain it. The research here is old and the premortem is mostly field-tested rather than lab-tested, so treat it as a strong practitioner tool rather than settled science.
Give it a go: before your next decision with real stakes, set a timer for five minutes and write “It’s a year from now and this went badly. Here’s why:” followed by every reason you can think of.
5. Put a number on your hunches
“Probably” can mean 55% to one person and 90% to another. Vague words hide sloppy thinking. Numbers expose it, because a number can be scored.
The evidence comes from forecasting tournaments funded by the US intelligence community. In the Good Judgment Project, Welton Chang and colleagues (Judgment and Decision Making, 2016) found that a training module of less than an hour, covering base rates, reference classes and common biases, improved forecasting accuracy by 6 to 11% over control groups across four years. A 2025 follow-up analysis by Vahid Karimi Motahhar and Thomas Gruca in the International Journal of Forecasting modelled 39,481 forecasts from 851 participants and found that the randomly assigned training improved calibration by reducing specific types of bias, though one of those effects showed up only in the second year.
| Good Judgment Project data | Figure |
|---|---|
| Length of training module | Under 1 hour |
| Accuracy gain over controls (Chang et al., 2016) | 6 to 11% |
| Forecasts reanalysed (Karimi Motahhar & Gruca, 2025) | 39,481 from 851 forecasters |
Start small: for one week, attach a percentage to every prediction you make (“70% this meeting runs over”) and check how often your 70% calls come true.
6. Judge the decision, not the outcome
Think of a poker player who goes all in with the best possible hand and loses to a lucky draw. Bad outcome. Good decision. Now think of someone who drives home tipsy and arrives safely. Good outcome. Terrible decision. The analogy holds as long as you’re dealing with uncertainty, where luck sits between your choice and its result. It breaks down in situations with little randomness, where a bad outcome usually does point to a bad decision.
People struggle with this split. In five studies, Jonathan Baron and John Hershey (Journal of Personality and Social Psychology, 1988) gave participants the full information a decision maker had, plus how things turned out. Participants still rated the same thinking as better and the decision maker as more competent when the outcome happened to be good.
Outcome bias quietly trains you to copy lucky choices and abandon sound ones. Separating the two also helps you stick to your decisions when one roll of the dice goes against you.
When you review a past choice, ask what you knew at the time and what the odds looked like then, and grade that separately from how things turned out.
7. Talk about yourself in the third person
Picture this: your friend tells you her manager publicly criticised her work. You calmly suggest she ask for specifics, consider his pressures and avoid replying while angry. A week later the same thing happens to you, and you fire off a furious email within minutes.
Igor Grossmann and Ethan Kross named this gap “Solomon’s paradox”: people reason more wisely about other people’s problems than their own. The question is whether you can close it. In a 2021 study in Psychological Science, Grossmann and colleagues had 555 participants keep a diary about daily conflicts. Those who wrote about themselves in the third person (“Why is Anna feeling this way?”) showed more wise reasoning over time, especially intellectual humility and taking others’ views into account, than those who wrote in the first person or got no instructions.
The mechanism seems to be distance. Using your own name pulls you slightly out of the emotion and into the observer’s seat. It pairs naturally with work on emotional intelligence.
A quick experiment: the next time something annoys you, write two sentences about it using your name instead of “I,” and notice whether your conclusion changes.
8. Ask what would change your mind
Actively open-minded thinking is a mouthful, but the idea is plain: you look for reasons you might be wrong, weigh evidence fairly and avoid overconfidence. Researchers have long linked it to being harder to fool, and a 2025 experiment suggests you can strengthen it quickly.
Mikey Biddlestone, Sander van der Linden and colleagues (Journal of Experimental Social Psychology, 2025) ran two studies with 462 and 464 participants. The intervention group read a short message describing five pitfalls of closed thinking, including overconfidence, ignoring alternatives and reading contradictory evidence as support. Compared with controls, they scored higher on open-minded thinking and got better at telling real news from fake. In the first study they were also less willing to share fake news. The authors flag that both samples were online volunteers and the effects were measured only in the short term.
Your move: pick one belief you hold strongly and write down the specific evidence that would make you drop it. If you can’t name any, that’s worth knowing too.
9. Go looking for the evidence against you
Confirmation bias works through a simple chain. You hold a belief. You search for information. Your search terms, your sources and your attention all lean toward what you already think. The evidence you find then seems to confirm the belief, which makes you more confident, which makes your next search even more lopsided.
The chain can be broken at the search step. Anton Gollwitzer, Evelina Bao and Gabriele Oettingen (British Journal of Social Psychology, 2024) studied people who held false beliefs about vaccine risks and about the 2020 US election being rigged. Those higher in intellectual humility explored more information that contradicted their belief, and that exploration predicted moving away from the false belief. The authors are candid that humility didn’t directly predict changing one’s mind, so the effect runs through the search, and it may not be large.
The practical lesson is to make the opposing search deliberate. Type the counter-claim into the search bar, not your own claim, and read the best result before you decide you were right all along.
10. Get comfortable saying “I was wrong”
Intellectual humility means accepting that your beliefs might be incomplete or mistaken and staying open to revising them. It sounds like a personality trait. A 2025 study links it to measurably better thinking.
In a 2025 study in Personality and Individual Differences, Fabio and Suriano compared 115 Italian university students with high and low scores on a 22-item intellectual humility scale. The humble group did better on a structured critical thinking test, with the biggest gaps in evaluating evidence, drawing inferences and monitoring their own reasoning. The advantage held for both social and mathematical problems. Keep the limits in mind: this is a small, correlational study, and comparing extreme groups can exaggerate differences.
Admitting mistakes takes a bit of nerve, which is where work on being more courageous overlaps with thinking well.
Test it this week: the next time you change your view during a conversation, say so out loud (“Fair point, I think I had that wrong”) and see how the other person responds.
11. Judge your own argument as if a stranger wrote it
Hugo Mercier, a cognitive scientist at France’s CNRS, and Dan Sperber argue in their “interactionist” account of reasoning that our minds evolved to produce arguments lazily and evaluate other people’s arguments sharply. In other words, you’re a much better critic than you are an author.
A clever 2016 experiment by Emmanuel Trouche, Petter Johansson, Lars Hall and Mercier in Cognitive Science tested this. Participants solved reasoning problems and wrote arguments for their answers. Later, they were shown one of their own arguments disguised as someone else’s. Among those who didn’t notice the swap, more than half rejected their own argument. They were also more likely to reject it when their original answer had been wrong.
So the critic is already in there. You just have to invite it to review your work.
Next time, do this: after you write an important email or proposal, wait an hour, then reread it imagining it came from a colleague you tend to disagree with. Circle every claim you’d challenge if it were theirs.
12. Argue it out with other people
One of the most dramatic numbers in reasoning research comes from the Wason selection task, a logic puzzle involving four cards. Working alone, only around one person in ten typically solves it. In a 1998 study by Moshman and Geil, small groups that discussed the problem reached the correct answer about 75% of the time.
| Wason selection task | Correct answers |
|---|---|
| Individuals working alone | About 9 to 10% |
| Small groups after discussion (Moshman & Geil, 1998) | About 75% |
A 2014 study by Trouche, Sander and Mercier in the Journal of Experimental Psychology: General found that the gain comes from the arguments themselves rather than from people deferring to the most confident member. In a 2015 paper in Thinking & Reasoning, Mercier and colleagues showed that participants from the US, India and Japan, European managers and even psychologists who study reasoning all underestimated how much group discussion improves performance.
There’s a condition attached. These gains appear when people share a goal of getting the answer right. Groups of like-minded people arguing about identity can polarise instead. Learning to argue without fighting keeps the discussion on the useful side of that line.
Bring your next tricky problem to one or two people who will push back, and ask them to argue for a different answer before you defend yours.
13. Watch out for jargon that sounds like an explanation
Technical terms can make a weak explanation feel strong. Francisco Cruz and Tania Lombrozo tested exactly this in a series of studies with 6,698 participants, published in Nature Human Behaviour in 2025.
They found that adding jargon raised people’s satisfaction with circular explanations, the kind that just restate what they claim to explain, but did nothing for complete explanations. It worked even when the jargon was a made-up word. The researchers’ interpretation is that jargon makes a gap feel filled. Two things reduced the effect: answering a follow-up question that required real content, and trying to generate an explanation yourself.
This is a useful filter for health claims, investment pitches and workplace presentations. A sentence like “the supplement works by optimising cellular bioavailability” can sound satisfying while telling you nothing about how it works.
Start small: when you hear an explanation packed with technical terms, rewrite it in plain words a twelve-year-old would understand. If nothing is left, there wasn’t much there.
14. Ask “why” until you hit the real cause
Toyota offers a well-documented case of a reasoning habit built into a company. Taiichi Ohno, the architect of the Toyota Production System, described repeatedly asking “why” about a problem as the basis of Toyota’s scientific approach. In his 1988 book on the system, he illustrates it with a machine breakdown traced back, one “why” at a time, from the obvious symptom to a hidden root cause.
The logic is cause and effect. A symptom (the fuse) has a cause, which has its own cause, and fixing only the first link guarantees the problem returns. Each “why” moves you one step further back in the chain.
The method has critics, and they’re worth hearing. Teruyuki Minoura, a former Toyota managing director, called it too basic for complex problems, because real failures often have several causes branching in different directions. Former Toyota staff have also noted that the number five was never a rule. Use it as a habit of digging, not a formula.
Give it a go: take one recurring frustration, such as always running late on Mondays, and write five rounds of “why does that happen?” before you try any fix.
15. Read laterally before you believe a website
Professional fact-checkers do something most of us don’t. When they land on an unfamiliar site, they leave it almost immediately and open new tabs to see what other sources say about it. Researchers call this lateral reading, and it can be taught fast.
In a study published in the HKS Misinformation Review in 2021, Joel Breakstone, Sam Wineburg and colleagues embedded four short online modules in a university nutrition course. Before the modules, just 3 of 87 students read laterally when checking a website. Afterwards, 67 of 87 did. The share of students who trusted a site simply because it had a dot-org address fell by 69%.
| Lateral reading study (Breakstone et al., 2021) | Pretest | Posttest |
|---|---|---|
| Students who read laterally | 3 of 87 | 67 of 87 |
| Students who questioned the site’s credibility | 2 | 36 |
The authors note they don’t know how long the change lasts. A 2025 study by Lodhi and colleagues in the Journal of Media Literacy Education, with 483 undergraduates, adds a warning: many students said they preferred lateral reading but didn’t actually use it when tested.
Your move: next time a link makes a surprising claim, search the name of the site or author before you read the article itself.
16. Learn the manipulation tricks before you meet them
The idea behind prebunking borrows from medicine. A vaccine exposes your body to a weakened version of a pathogen so it can recognise the real thing later. Prebunking shows you a weakened example of a manipulation technique so you spot it when it’s used on you. The analogy has limits: there’s no lasting “immunity,” and the effect is narrower than a vaccine’s, covering the specific technique you learned about.
The most recent field evidence is promising. In a 2026 Instagram field study published in the HKS Misinformation Review, Sander van der Linden, Jon Roozenbeek and colleagues showed a 19-second video about emotional manipulation to UK users aged 18 to 34. Among poll respondents, only 38% of the control group correctly identified the manipulative headline, versus about 60% of those who saw the video. Five months later, the gap was still about 22 percentage points.
The authors list real limitations, including a roughly 1% poll response rate and assignment by birth month rather than true randomisation.
Test it this week: learn the names of three common tricks (fearmongering language, false dilemmas, scapegoating) and count how many you spot in your feed over a few days.
17. Read the whole thing before you react
Much of what we argue about online, we haven’t read. A 2016 study by Maksym Gabielkov, Arthi Ramachandran, Augustin Chaintreau and Arnaud Legout, presented at the ACM Sigmetrics conference, tracked links to five major news outlets on Twitter over a month. They found that 59% of the shared links in their sample were never clicked at all.
That number gets misquoted, so here’s the precise version. It doesn’t mean 59% of people shared articles without reading them. It means 59% of the links people posted got zero clicks from anyone. The data are also from 2016, before many platform changes. Still, the direction is clear: headlines travel much further than the articles under them.
Reasoning from a headline means reasoning from someone else’s summary, written to get attention. It’s the same skill that helps you improve attention to detail at work: the mistake usually hides in the part you skimmed.
Here’s a simple way in: before you comment on or share any article, scroll to the end and find one detail that wasn’t in the headline.
18. Step away from a stuck problem
You’ve probably solved something in the shower that defeated you at your desk. That isn’t a myth. In a meta-analysis of 117 studies, Ut Na Sio and Thomas Ormerod (Psychological Bulletin, 2009) found a real, if modest, benefit to setting a problem aside before returning to it.
The details explain how to use it. The break helped more after a longer period of real work on the problem first, so incubation rewards effort rather than replacing it. And breaks filled with light, undemanding activity, like a walk or washing up, worked better than breaks spent on another hard mental task. The benefit was strongest for open-ended problems that need many possible answers, which ties into thinking more laterally.
This research is older and mostly lab-based, but because the meta-analysis pooled more than a hundred studies, the core effect doesn’t rest on a single lab.
So when you’ve been stuck for twenty minutes, write down where you got to, then do something easy and physical for ten minutes before you look again.
19. Make your own attempt before you ask an AI
AI tools are useful thinking partners. They can also quietly do your thinking for you. In a 2025 Microsoft Research and Carnegie Mellon survey of 319 knowledge workers, presented at the CHI conference, Hao-Ping Lee and colleagues collected 936 real examples of generative AI use at work. Workers who had more confidence in the AI reported applying less critical thinking to its output. Workers who were more confident in their own ability to do the task reported applying more.
The data are self-reported, so they show what people say they do, not measured skill decline. But the pattern makes sense: if you trust the tool more than yourself, checking feels pointless.
The same technology can push the other way. A March 2026 preprint (not yet peer-reviewed) describes a randomised experiment with 400 participants in which a structured, Socratic dialogue with a language model increased intellectual humility. How you use the tool seems to matter more than whether you use it.
A quick experiment: before you ask an AI for an answer, spend two minutes writing your own. Then ask it to criticise your version instead of replacing it.
20. Think through big choices in a second language
This one sounds odd, but it has replicated. In 2012, Keysar and colleagues reported in Psychological Science that the framing effect, where people choose differently depending on whether options are described as gains or losses, disappeared when the problem was presented in participants’ second language.
Since then, enough studies have piled up for meta-analysis. Nicola Del Maschio and colleagues (Bilingualism: Language and Cognition, 2022) pooled the evidence and found a reliable foreign-language effect on decision-making. Surprisingly, it wasn’t explained by how proficient people were or how early they learned the language. A review in the Journal of Cognition, summarising several meta-analyses, describes the effect as small yet robust and notes that some biases, such as outcome bias, didn’t shift in the studies that tested them.
The leading explanation is emotional distance. A foreign language carries less gut-level emotional charge, so you weigh the numbers more evenly.
If you speak a second language, try restating a high-stakes choice in that language, including the options and the odds, and see whether it still feels the same.
21. Practise solving messy, multi-step problems
The OECD’s Survey of Adult Skills 2023 (published December 2024) tested about 160,000 adults in 31 countries on literacy, numeracy and a new domain called adaptive problem solving: working out a solution when the situation changes as you go.
| OECD Survey of Adult Skills 2023, OECD average | Share of adults |
|---|---|
| At or below Level 1 in adaptive problem solving | 29% |
| At or below Level 1 in numeracy | 25% |
| At or below Level 1 in literacy | 26% |
| At the top level (4) in adaptive problem solving | 5% |
Adults at Level 1 can handle simple problems with few variables that don’t change along the way. They struggle with multi-step problems or ones that require tracking several things at once. The OECD also reports that, across member countries, one standard deviation higher problem-solving proficiency is associated with about 7% higher hourly wages, even after accounting for other factors.
The report doesn’t prescribe exercises, but the definition points to what to practise: problems where information is incomplete and conditions shift. Planning a trip with changing train times, comparing phone contracts with different terms or reorganising a budget after an unexpected bill all count.
Choose one real multi-step problem this month and solve it on paper, listing the variables, what you know, what you don’t, and what would change your plan.
22. Skip the brain-training apps and practise the real thing
Think of a gym that has only one machine. Use it every day and you’ll get very good at that machine. You won’t get much better at climbing stairs. The analogy holds for skills that are close to what you trained. It breaks down for general fitness, where one kind of exercise does carry over; the mind seems to be pickier.
The research on cognitive training supports the picky version. A second-order meta-analysis by Giovanni Sala, Fernand Gobet and colleagues (Collabra: Psychology, 2019) pooled meta-analyses on working memory training, video games, music, chess and exergames. Once placebo effects and publication bias were controlled for, the effect on far-off abilities like reasoning was zero. Training helped with tasks similar to the training. Gobet and Sala restated this in a 2022 review, arguing the field remains too optimistic. They were responding to more optimistic researchers, such as Green and colleagues in 2019, so the debate isn’t fully closed.
It’s also why some popular “brain” habits are less useful than they look, and worth comparing with the habits that are bad for your brain.
The practical takeaway: if you want to reason better about money, practise reasoning about money. Spend your puzzle time on real decisions instead.
23. Move your body
This is the one item that targets the hardware rather than the habits. The evidence is unusually broad. Ben Singh and colleagues at the University of South Australia published an umbrella review in the British Journal of Sports Medicine in 2025, pooling 133 systematic reviews covering 2,724 randomised controlled trials and 258,279 participants.
Exercise improved general cognition, memory and executive function, the set of skills covering planning, attention and self-control that reasoning leans on. The effects were small to moderate (standardised mean differences of 0.42, 0.26 and 0.24 respectively). Low and moderate intensity worked at least as well as hard training, and benefits appeared within one to three months. Children and people with ADHD gained the most in some areas.
The likely chain runs from better blood flow and brain chemistry to better attention, which makes the effortful checking described in item 1 easier to sustain. Exercise won’t teach you logic, but it may make you a better user of the logic you have. It’s also one of the best-supported ways to improve your memory.
A brisk 20-minute walk most days fits the evidence well and costs nothing.
24. Protect your sleep before big decisions
Sleep loss hits the parts of thinking that reasoning relies on most. The chain goes like this: the prefrontal cortex, which handles planning and weighing options, is especially sensitive to lost sleep; reactivity in emotional brain regions increases; impulse control drops; and risky or careless choices become more likely.
The decision-making research is consistent on the direction, if messy on the details. A 2025 scoping review in Behavioral Sciences by Felix Agyapong-Opoku and colleagues covered 25 studies with 2,276 participants and concluded that partial or total sleep deprivation generally impairs decision-making, with many studies reporting more risk-taking. A few found no significant effect, especially on economic tasks. A separate 2025 review in Frontiers in Neuroscience suggested sleep loss tends to hurt accuracy more than speed, which is a bad combination: you still feel quick, but you’re wrong more often.
If worries keep you awake, the guide on how to stop overthinking at night is a good companion to this one.
When a big decision is due, schedule it for the morning after a proper night’s sleep, and treat any important call made after a short night as a draft to revisit.
What to do when you slip
You will slip. You’ll share a headline you didn’t read, defend a point you knew was shaky, or ask the AI before trying yourself. That’s normal. What matters is how you respond.
The instinct is to be harsh with yourself. The evidence suggests that backfires. In four experiments, Breines and Chen (Personality and Social Psychology Bulletin, 2012) found that people who responded to a failure with self-compassion were more motivated to improve, not less. After failing a difficult test, they spent more time studying for the next one than people who were encouraged to boost their self-esteem or given no guidance. This research is over a decade old, but later meta-analyses have linked self-compassion to higher self-efficacy, a key ingredient in keeping going with a goal.
A useful approach borrows from item 6: review the slip as a decision, not a verdict on you. What did you know at the time? What made the shortcut tempting? Were you tired (item 24), rushed (item 1) or emotionally involved (item 7)? Then pick one small adjustment for next time.
If a mistake turns into a spiral of self-criticism, our guide on how to stop hating yourself can help you step out of it.
Conclusion
Thinking more clearly mostly comes down to a handful of habits: pausing before you trust a first answer, checking how things usually go, putting numbers on hunches, inviting criticism, and looking after the body that does the thinking.
You don’t need all 24. Choose the two that address your most common mistake. If you tend to jump to conclusions, start with items 1 and 3. If you get stuck defending yourself, try items 9 and 11. Give them two weeks, then add another.
For more evidence-backed ways to grow, browse our self-improvement guides. Which of these habits are you going to try first?
