Seesaw is used in over 75% of schools in the U

Seesaw

Don't get me wrong, I adore a long hike, a damn good glass of wine, and snuggling with my kid during storytime (I don’t have one yet, but I’ve heard it’s the best thing that will ever happen to you, so I'm looking forward to it). But this cult of "work-life balance"...it makes my skin crawl. Like some cosmic accountant is tallying my joy points and yelling, "Not enough 'life' in your ledger, buddy!" The image of perfectly compartmentalized life, neatly sliced into work hours and blissful non-work...well, it's delusional. Real life? It's messy, exhilarating, and occasionally kicks you square in the teeth. That's not a bug; it's the best (and worst) feature. Let's stop chasing shadows and get brutally honest. The sooner we dump the "balance" baggage, the sooner we can craft a life that actually – spikes of intensity and joyful downtime included. works "Balance" - The Great Productivity Killer The problem with balance is this: It assumes focus happens in neat little chunks. An hour here for a Zoom call, an hour there for that spreadsheet...sound familiar? Here's a newsflash: your brain hates this fragmented crap. Science backs it up. See "flow" – that glorious state where time blurs, the world recedes, and you're crushing it – craves deep dives, not surface-level skimming. But building momentum to get into flow, takes space and focused time. Not the chopped-up mess we're sold as "balanced productivity." Think of those days stuck in meetings, email ping-pong, and constant, pointless context switching. It's not about hours worked; it's about intensity diluted, focus shattered. This isn’t work-life balance; it's a recipe for mediocre output and soul-crushing frustration. Beyond Balance – Mastering the Rhythm But, if balance is a myth, what actually works? Think less about a seesaw and more about an epic drum solo. There's power in those bursts of intensity, the crashes of focus. You know those sessions where an idea clicks, where work takes on a life of its own? Those are the moments you need to double down. Let your schedule serve the work, not the other way around. But drums without a pause…that's just noise. It's in the silence that the rhythm gains power. So, those "downtime" moments everyone tells you to feel guilty about? Consider these alternative possibilities: Deep rest isn’t about weakness, it's cognitive refueling. Your brain does vital background processing during "offline" time. A change of scenery can be a creative supercharger. A museum visit or a bike ride – it could spark the solution you've been agonizing over. Indulging in something utterly pointless has merit. That trashy novel/TV show? Let it reset your mental palate. It might make space for brilliance the next workday. This rhythm of intense-focus/deep-rest, it's dynamic, messy, and way more potent than bland "balance." Permission to be Selfish Newsflash: your worth isn't measured in chore charts and perfectly split 50/50 parenting. This "equal distribution" idea sounds noble, but it ignores the glorious chaos of our unique strengths and the realities of ebbs and flows. There'll be seasons where you lean hard into work, passion exploding, deadlines whizzing by. Your partner might pick up more slack at home, not because they're a martyr, but because they believe in what you're building. Then it shifts, and that energy flows the other way – it's a fluid dance, not an accountant's balance sheet. Same goes for internal prioritization. Some days, the gym just won't happen; a crisis takes precedence. And you know what? That's okay. Obsessing over the "shoulds" misses the point. Give yourself the radical grace to make today’s call as needed. No self-flagellation necessary. ...Let's be real, will there be some logistical juggling and communication breakdowns in all this? Hell yeah. But wouldn't you rather navigate those hiccups than carry the constant, low-grade guilt of failing to live up to an unattainable balance? Tools & Tactics for the Anti-Balancer Designate chunks of time where you are ruthless about distractions. No email pings, no "quick chats." This is your zone; defend it fiercely. Experiment with the length that works for you – maybe it's 90 minutes on, a 30-minute break, then back in. The Focus Block: Life's gonna throw admin, errands, and "low-stakes" tasks at you. Lump these together to minimize disruption. Have an "Admin Hour" where you power through the tedium, freeing up larger mental spaces for meaningful work. Batch the Bullsh*t: Our brains crave cues. Mark the start and end of your workday with a specific action. It could be a dedicated workspace, a special mug for work hours, or a brisk walk to mentally "commute" – anything that signals to your brain "focus time" or "chill zone activated." Ritualize Transitions: Just as you schedule work bursts, protect restorative chunks. Even 20 minutes of true downtime adds up. Visualize unbroken streaks of self-care on a calendar – it gets addictive in the best way. "Don't Break the Chain" for Rest: If you live/work with others, this isn’t going to happen solo. Explain your need for focus blocks, and negotiate how you'll navigate shared responsibilities. It won't be flawless, but ditching the resentment of unspoken expectations is half the battle. Communicate Your Rhythm: Beware the Balance Backlash A word of caution, anti-balancers – don't let this turn into a glorification of burnout. You hear folks bragging about "the hustle," about all-nighters as some badge of honor. Nope. That's just bad management with fancy branding. Here's the difference: Feeds on external validation, relentless to the point of harm. Hustle Culture: Serves your deeper goals and is balanced by deep replenishment. Intentional Intensity: You know when you're crossing the line – the body and brain will send signals. Respect them; that's self-preservation, not weakness. The Wisdom of Seasons We're obsessed with linearity – growth charts, career ladders, everything measured in a relentless upward crawl. But nature does her finest work in cycles, in bursts and retreats. It's okay for our lives to mirror that. We can have bursts of intensity, followed by alternative priorities/rest in both the micro and the macro. There'll be seasons of outrageous output, fueled by passion or simple necessity. Then come the fallow periods, seeming "unproductive" by external standards. But something's brewing beneath the surface: ideas cross-pollinating, energy stores rebuilt. Trust this process. Think of this rhythm overlaid over a lifespan: Your 20s might be fueled by exploration, by bursts of intense learning balanced with the messiness of finding your footing. Your 40s could be marked by focused execution, where the foundation you built allows for bigger swings. Later years might prioritize different legacies – mentorship and creative freedom that wouldn't have been possible in the head-down scramble. Reject society's timeline telling you it should all happen concurrently. Each phase has a distinct beauty, a different kind of "balance" unfolding over decades, not hours on a clock. Redefining Success If balance is a mirage, what do we measure our lives against? Here's where it gets personal and rebellious: Not about output, but how often you lose yourself joyfully in the of creation. Moments of Flow: act How many commitments spark genuine excitement, versus dragging you down with obligation? The "Hell Yeah" Test: Not about degrees, but the curiosity that survives when nobody's grading you. Learning as Lifeblood: Do you make something, teach something, or spark something bigger than your individual career climb? Legacy Beyond Self: Can you be fully present, truly vulnerable, with those who matter most? Depth in Connection: Let's be brutally honest – most of these won't fit neatly into some productivity spreadsheet. Because here's the thing: life's too short for bland "balance." The moments that spark your soul, the work that sets you on fire, the connections that leave you breathless – these defy neat categorization. It's in the dynamic tension, the willingness to embrace the unexpected, that we find the damn good life. Think about it: that feeling when you get lost in a creative project, time blurring at the edges. Or the deep satisfaction after a challenging workout. Or the belly laugh with a friend that leaves you feeling lighter than air. These are the moments that give life texture, that make it worth living. The nine-to-five, the perfectly scheduled weekend – those are just the backdrop. Let's get to it, shall we? Have a great weekend! Scott Also published here

Work-Life Balance? Yeah, That's for Losers

কাজ জীবনের ভারসাম্য? হ্যাঁ, এটা পরাজিতদের জন্য

Work-Life-Balance? Ja, das ist für Verlierer

¿Equilibrio trabajo-vida? Sí, eso es para perdedores.

L'équilibre travail-vie? Ouais, c'est pour les perdants

कार्य संतुलन? हाँ, यह हारने वालों के लिए है

仕事と生活のバランス？そう、それは敗者のためのものだ

일과 삶의 균형? 응, 그건 패자를 위한 거야

Equilíbrio entre vida pessoal e profissional? Sim, isso é para perdedores

Баланс между работой и личной жизнью? Да, это для неудачников

İş yaşam dengesi? Evet, bu Kaybedenler için

Cân bằng cuộc sống công việc? Vâng, đó là dành cho người thua cuộc

工作与生活的平衡？是的，这是给失败者的

Do you know how physical or digital things acquire their prices? Or why a tomato doesn’t cost $1 million? Or why cryptocurrencies have certain values? The answer could be mostly summed up in the concepts of supply and demand that work inside and outside the crypto world. However, there are some crypto-specific things to consider as well. It’s, let’s say, the total quantity offered or produced. Conversely, demand represents the quantity of a good or service that consumers are willing and able to buy at a certain price. It’s the total quantity desired or bought. In economics, supply refers to the quantity of a good or service that producers are willing and able to offer for sale in a given market at a specific price and time. A seesaw or equilibrium + external factors There’s also a medium spot between , which we can call equilibrium. That’s the point at which the quantity supplied equals the quantity demanded in a market, resulting in a more-or-less stable price. You could picture a seesaw to understand this. supply and demand On the other hand, if there's too much of a product (increased supply) and fewer people want it, for any reason, prices tend to fall. The seesaw balances when supply and demand are equal, establishing a stable market price. An event that doesn't always happen. If more people want a product (increased demand) than is available, prices tend to rise. Other factors influence supply and demand, though. On the supply side, production costs, technological advancements, and government policies can significantly impact the quantity of goods or services available. Changes in input prices, such as raw materials or labor, can alter production costs, subsequently influencing supply. Additionally, shifts in technology can either streamline production, increase supply efficiency, or necessitate costly adjustments, affecting the overall supply. Consumer tastes and preferences can rapidly evolve, affecting demand for specific products. Changes in income levels can influence purchasing power, thereby impacting overall demand. On the demand side, consumer preferences, income levels, and external economic conditions play pivotal roles. Moreover, external factors like , geopolitical events, and natural disasters can disrupt both supply chains and consumer behaviors, creating fluctuations in supply and demand dynamics. The intricate interplay of these factors shapes the equilibrium in markets, determining prices and quantities exchanged. regulatory changes Some tomatoes As an additional example, let’s think about that tomato from the beginning. It has different prices in different countries, but never $1 million per unit. That’s because the world around 44.2 million metric tons of tomatoes every year. There’s demand for tomatoes, but also a lot of supply. If you’re in the countryside, you can even pick up some tomatoes for free. produces So, the tomato price ($0.0010 in Colombia, $0.27 in the USA, $1.5 in South Korea, etc.) is heavily determined by its intrinsic value or use (food), its supply, distribution costs, and likely local taxes. For one unit to cost $1 million it’d need to be very special in some way, like being the last-ever tomato on Earth (scarcity) and capable of curing cancer (additional intrinsic value). Now, if we created today a decentralized cryptocurrency called Tomatocoin (TMT), why or how would this one have any price? Why do cryptocurrencies have value? Usually, the interaction between supply and demand determines the market value of cryptocurrencies. The decentralized nature (without middlemen and regulations) of these digital assets means that market forces (people buying and selling) play a crucial role in establishing fair value, as opposed to centralized control seen in traditional financial systems. When demand outpaces supply, prices tend to rise, and vice versa. About the supply, contrary to most fiat currencies, crypto coins often have an intentional scarcity by design. That means they’re not limitless, but have a capped supply since the beginning. For instance, Bitcoin was designed to issue 21 million coins ever, nothing less and nothing more. Likewise, has a limited supply of 1 million GBYTEs. Our Tomatocoin could have a capped supply of 1 million TMT as well, but that’s only the beginning of acquiring a real price. We need demand, people desiring to buy it. GBYTE Then, why would people want to buy Tomatocoin? Maybe TMT is a pegged to the value of the tomato industry. Or perhaps is a representative share in a new investment model for tomato crops. Or it’s just funny, like Dogecoin (DOGE), and we can make a funny website to attract buyers. In this case, Tomatocoin would need to offer some added value to create demand. That depends entirely on what benefits or features the coin is offering. stablecoin a memecoin Bitcoin, on the other hand, is the first-ever cryptocurrency, considered secure and global. It has its value as a cross-border, pseudonymous payment method or speculative investment. is more decentralized, with smart contracts and cheaper and faster transactions. To sum it up, besides their limited supply, most cryptocurrencies need to provide some other service, benefit, or product to attract customers (demand) and raise their prices from zero. Obyte's offer More reasons for cryptocurrency demand In general, for the cryptocurrencies that already exist and provide some kind of product/service/benefit, the demand is influenced by several other factors. contribute to the rising demand worldwide. Additionally, speculative trading and the potential for high returns attract individual investors to the crypto market. Growing interest from institutional investors, increased adoption of online transactions, and a desire for financial liberty and privacy The heavy censorship and unstable economy in certain countries are also important adoption drivers. In nations where freedom of speech is restricted, and the flow of information and money is tightly controlled, cryptocurrencies offer a decentralized and censorship-resistant alternative. They provide a means for individuals to engage in financial transactions and access a global financial network without fear of interference. Besides, in countries facing economic volatility and hyperinflation, cryptocurrencies present a store of value and a hedge against currency devaluation. Citizens in these regions often experience difficulties in preserving their wealth due to the instability of local currencies. Cryptocurrencies like GBYTE, with their limited supply and decentralized nature, are perceived as a more stable and reliable store of value. Speaking of which, : all traditional currencies, stocks, and commodities (gold, oil, etc.) could be frozen or seized by third parties, for any reason —sometimes unjustified. Only cryptocurrencies provide you with full control of your own funds because only you have the keys. the decentralized nature of cryptocurrencies is, likely, their main advantage. No other asset worldwide possesses that characteristic The more decentralized the network is, the more protected you are. In Obyte, for instance, we eliminated miners as powerful middlemen. We only have less-powerful (OPs) to order transactions in a Directed Acyclic Graph (DAG) structure, where everyone can register their operations without permission or interference. In a world full of surveillance and control, the demand for decentralization and privacy is going higher globally! Order Providers Featured Vector Image by vectorjuice / Freepik

From Tomatoes to Tomatocoins: Exploring the Economics of Cryptocurrency Valuation

টমেটো থেকে টমেটোকয়েন পর্যন্ত: ক্রিপ্টোকারেন্সি মূল্যায়নের অর্থনীতি অন্বেষণ

Von Tomaten zu Tomatenmünzen: Erkundung der Ökonomie der Kryptowährungsbewertung

De los tomates a las tomatecoins: explorando la economía de la valoración de las criptomonedas

Des tomates aux tomates : explorer l’économie de la valorisation des crypto-monnaies

टमाटर से लेकर टमाटर के सिक्कों तक: क्रिप्टोकरेंसी मूल्यांकन के अर्थशास्त्र की खोज

トマトからトマトコインまで: 暗号通貨評価の経済学を探る

토마토에서 토마토코인까지: 암호화폐 가치 평가의 경제학 탐구

Dos tomates aos tomates: explorando a economia da avaliação das criptomoedas

От помидоров к томатокоинам: изучение экономики оценки криптовалюты

Domateslerden Domatescoinlere: Kripto Para Değerlemesinin Ekonomisini Keşfetmek

Từ cà chua đến cà chua: Khám phá tính kinh tế của việc định giá tiền điện tử

从西红柿到西红柿币：探索加密货币估值的经济学

Let's learn about via these 51 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Decision Making /Learn Repo 1. Understanding How Bias Affects the Mediocrity Cycle Humans are naturally predisposed to some attitudes and behaviours which can close us off from good choices. 2. Saying No to Your Boss is Never Easy, But Sometimes it's Necessary It was a Friday morning and I was waiting in the conference room for my manager. We had just achieved a great milestone as a team and delivered a highly critical time sensitive project. It wasn’t an ordinary success as the entire organization was counting on this platform for a mega event. 3. The Irony of Pluralistic Ignorance: Why Smart People Do Dumb Things Pluralistic ignorance is a psychological state in which we believe that our private thoughts, and feelings, are different from those of others. 4. Some Decisions are Mindless, Other Decisions Require Deep Thinking If you've been working for some time, you might have wondered occasionally if it was time to change jobs. If you are early in your career, you can bet that this is a decision you will need to make in your life. 5. How You May be Avoiding Unpleasant Information With the Ostrich Effect Ostriches bury their heads in the sand when they sense danger, assuming that the danger will pass if they just avoid it long enough. 6. The Myth Of "A Good Problem To Have" You’ve hear it all the time. Stuff like 7. Using MILP and Python for Optimal Business Analytics Optimizing Business Decisions With MILP (Mixed Integer Linear Programming) and Python: the Ultimate Solution for Business Analytics 8. On Team Empowerment: Can You Release Control? How can we transform from the command and control style to leveraging the power of self-direction that energises and engages people? 9. CARPA: How To Identify Fortune Cookie Advice, As An Entrepreneur Entrepreneurship is tough and full of unknowns… Deciding to start a company is like going back to school on purpose, every single day, knowing that there’s much you don’t know. Luckily, it’s 2020: a whole lot of people have started startups before you, and many of them like to talk about it. 10. Blockchain Governance and the Concept of Organized Anarchies An organized anarchy perspective on power and influence in blockchain decision-making. 11. Product Decisions In Large Organisations Don't Have To Be Hard Product and development teams often try to deal with the uncertainty they face with more research, more analysis, more process, more people and more frameworks. Organisations, especially the larger ones, intensify this rather than help navigate the uncertainty. 12. How Machine Learning is Transforming the Talent Management Industry Machine learning in talent management has transformed in a manner that such algorithms can learn the behavior and based on that pick up the best suitable person 13. So You Got Data... What Now? Data, data everywhere…but not enough to decide! 14. Human Identity Art: Tattoos, Aging and Removal An exploration into tattoos and their signficiance as a form of human identity art. 15. Going Non-Profit: What You Need to Know How do you decide whether to establish a nonprofit organization or not? Follow the AlmaLinux journey to learn about the questions asked that led to the decision 16. How to Overcome Scaling Challenges in Technical Architecture Find out how to set up processes, effective development practices & communication strategies to make design decisions and handle tech debt as the team scales. 17. The Dunning-Kruger Effect in Simple Terms The Dunning-Kruger effect is a phenomenon in which unskilled individuals overestimate their abilities while skilled individuals may underestimate their abilitie 18. Where To Find Data To Make Smart Business Decisions You can make more informed decisions. The decisions can make your business increase its bottom line, evolve, and grow commercially. This decision making is possible when you tap into business intelligence and leveraging on the available digital insights. 19. Algorithms and Society: A Not-So-Simple Discussion, In Three Parts Image Source: Unified Infotech 20. Alignment Model Leaders Need to Make Better Decisions Instead of being caught up in mole whacking, leaders need to do grub hunting - focus on the roots instead of leaf-level problems and decisions. 21. FourWeekMBA Founder Gennaro Cuofano On Heuristic Decision Making Gennaro Cuofano (Italy) writes about digital business models, platforms, blockchain business models, and new ways of doing business, all the while managing the growth of a high-tech startup and a small sales team. In this interview: Decentralization, Scaling, and Building Your Own Platform. 22. How to Choose the Right Web Tech Stack When you first dig your teeth into programming, it’s very easy to feel overwhelmed with the vast amount of resources and information you have available to you. 23. A Dream is Only a Starting Point At the end of the day, achieving your dreams takes all three of these things. It requires big dreams, preparation, and actually doing it. 24. How to Identify and Stick it to Decision Fatigue A series of these small decisions scattered throughout our day may seem harmless in the moment, but are they really harmless? 25. How to Cultivate Confident Humility for Better Leadership How do I balance myself on the confidence humility see-saw? What if my confidence is seen as arrogance or my humility as a sign of my lack of assertiveness. How do I come across right? 26. Why Do I Want To Become A Manager Every person at some point in their career may need to ask themselves “Do I really want to be a manager?” The question may seem straightforward, but the answer is not. It requires digging deeper and finding answers for ourselves without relying on what others believe is the right thing for us to do. 27. Getting from Zero to One: Must-Read Books for Building New Product Ventures I’ve put together a list of books that contain the ideas that I’ve found most useful for a new product venture at this stage. 28. Principles of Effective Goal Setting In most organisations, big picture thinking comes off as a seasonal flavour often appearing every few months. Mental gymnastics that goes with determining the “why” - meaning or purpose of goals, promise of a better future, and the excitement of doing something new definitely gets the creative juices flowing. Though not for all, most people in the organisation find this phase highly energising and exhilarating. But does this motivation last long? 29. The 5 Cognitive Distortions Preventing You From Making Better Decisions From an evolutionary standpoint, human beings developed cognitive distortions as a survival method. 30. Keep Sharing Context: How to Enable Better and Faster Product Decisions “So, what do you think?” — says the Product Manager after a product strategy presentation to his team 31. A True Story About How Stoicism Saved a Prisoner of War: 7 Tips for Your Own Life Stockdale had no reason to think that the day’s mission was to be anything unique. 32. 10 Reasons Why you Should Learn Artificial Intelligence Introduction 33. Conflict Management: How to Engage in Rethinking Cycle An argument with a coworker - conflict of opinion. Working on a project that doesn’t energize you - conflict of interest. Didn’t get the promotion - conflict of growth. Working super hard with no time for personal life - internal conflict. Saying yes to work that doesn’t align with your goals - conflict of priorities. Committed a mistake, but can’t come to terms with accepting responsibility - conflict of values. We don’t realize it, but most interactions at work lead to a major or minor conflict. 34. Neotechnocracy vs Democracy: Our Future Resource-Oriented Economy “Philosophers only explained the world in different ways; but the thing is to change it.” — Karl Marx 35. Employee Training: How to Make Data-Driven Business Decisions According to PwC research, highly data-driven organizations are three times more likely to witness considerable improvement in decision-making. Unfortunately, a whopping 62% of executives still rely more on experience and gut feelings than data to make business decisions. 36. First Principles Thinking: Identify Assumptions, Breakdown Problems and Create New Solutions First principles thinking drives complex problem solving and workplace innovation through reverse engineering. Companies that employ first principles thinking are one step ahead as they plan and build for the future. 37. Correlation vs. Causation: Why Correlation Does Not Imply Causation The terms correlation and causation are quite often confused, however, they are not synonyms and this article specifies the main reasons why. 38. Not Sure if a Company is Right for You? Ask Yourself These 6 Questions We spend a large part of our life at work, and yet when it comes to making a decision “Is this the right company for me,” most of us rely only on our expert intuition without any solid data to back it up. 39. "Once you know the rules, you are free to break them" Rules were not meant to be broken, but there's always a reason to walk on the wild side. Make sure you know how to decide when it is appropriate to do so. 40. Be Dangerous! For The Dreamers of the Day are Dangerous Men In Frank Herbert’s 1965 science fiction novel Dune, we follow the story of the fall and rise of the aristocratic Atreides family circa 22,000 CE. The principal character, the marquee of the family, Paul Atreides, goes on a unique hero’s journey of guerilla warfare and political maneuvering, with both cosmological and philosophical repercussions. Without giving too much away, a central plot in the novel is Paul discovering his own telos, “the full potential or inherent purpose” of himself, within his mind and his broader destiny. This mystery surrounding Paul’s purpose creates an underground current through most of the novel. And when the current bursts to the surface, the reader is only left to pondering a hypothetical divine mystery. Is the reader witnessing a transfiguration (see Mark 9:1–10) or a revelation (See Revelation 21:1), as this archetypical desert warlord develops into an enlightened desert mystic? Is Paul a mix tape of Moses meets T. E. Lawrence? Or is he experiencing the slow mental descent of an asylum-bound messiah? 41. ‘Kill Your Darlings’ - Know When You Need to Pull the Proverbial Plug Basing our decision on what’s going to happen in the future and not what investments have been made in the past by treating every decision as a new one is indeed very difficult. It’s not a clear, straightforward choice. 42. 5 Steps to Build a Data-Driven Product Development Culture Early stages of product development are one of the most exciting times to be a part of the company as a product manager. One of the most important factors that drive the growth and success of the product is how quickly it acquires a large and loyal base of customers. You want these customers to use your product as frequently as possible with minimum friction. 43. The Blind Game: A Decision-Making Framework A step by step decision making process to help you choose the best option 44. “When you judge others, you do not define them, you define yourself”. ― Earl Nightingale Think of the countless times you labeled someone at work as “lazy, boring, incompetent, stupid, irritating, biased, reckless, rude…” 45. 5 Strategies to Overcome Confirmation Bias in Your Personal Narratives We gravitate towards people who are like us and will most likely believe what we believe. Doesn’t it feel good when others conform to our ideas? Who likes being told that they are not right or what they believe is far from reality? 46. Stop Being a People Pleaser: Must-Read Guide on How to Set Clear and Healthy Boundaries Do you feel exhausted, even frustrated working hard, putting in extra hours, sometimes even on weekends and late nights trying to catch up on work, but not being able to make progress on your own goals? 47. 7 Basic Rules for Better Decision-Making in Business Every manager has to undertake a tricky task of teaching employees to make the right decisions, the ones that will be profitable for the business. As my team was growing, I also came to realize I had to delegate responsibility. I don’t like to be micromanaged — so I don’t micromanage my team. My job is to lead people, not to be a bottleneck. I was lucky that Skyeng is all about principle-based decision-making; this is what makes an annual growth of 200% possible. I only had to take those corporate principles, or rules, and apply them to my field of commercial products. I’ll talk about my rules in this article. 48. Open Ended Questions to Ask to Go From Giving Advice To Gaining Insight Have you noticed what happens when someone asks you a really good open ended question? Your mood shifts and body language changes as your mind sets on a quest to look within, think deeply, and churn out ideas. The endorphin rush that comes from exploring uncharted territories triggers a positive feeling in the body. 49. Why We Make Bad Choices and How to Fight Back We do irrational things all the time, make stupid choices that we regret later. It’s not like we consciously decide to act like a fool. Rather, in those moments when we are making a decision, we seem to be quite pleased and reasonable with our choice. It’s only later we realize how distorted our sense of reality was. 50. 6 Guardrails Against GroupThink for Smarter Startup Decision Making When you are part of a group, do you speak up and voice your opinion or avoid criticism and choose a path of less conflicts. When popularity takes priority over individual responsibility, people develop a tendency to conform to ideas and beliefs that lead to conservative thinking, ignore potential signs of failure, and make decisions with incomplete and biased information leading to groupthink. 51. Practice This Second Order Thinking  Hack to Start Making Better Decisions While making decisions, how often do we optimise for long term gain at the cost of short term pain? A good process for making decisions requires second order thinking which unravels the implications of our decisions by thinking about its consequences in the future. It requires solving problems in a manner that avoids unintentional and unforeseen outcomes. Thank you for checking out the 51 most read stories about Decision Making on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

51 Stories To Learn About Decision Making

Transformers have become the model architecture of choice for many vision tasks. Vision Transformers (ViTs) are especially popular. They apply the transformer directly to sequences of image patches. ViTs now match or exceed CNNs on benchmarks like However, researchers from Meta and INRIA have identified some strange artifacts in the inner workings of ViTs. image classification. In this post, we'll do a deep dive into a investigating the cause of these artifacts. And we'll see how researchers used a simple trick (not to sound too clickbait-y) to get models to focus on the subjects of images and not the boring background patches that tend to confuse them. Let's go. new paper The Mysterious Attention Spikes Much prior work has praised vision transformers for producing smooth, interpretable attention maps. These let us peek into which parts of the image the model is focusing on. Oddly, many ViT variants show spikes of high attention on random, uninformative background patches. Why are these models focusing so much on boring, unimportant background elements instead of the main subjects of these images? By visualizing attention maps across models and creating images like the one above, the researchers definitively show this happens in supervised versions like DeiT and CLIP, along with newer self-supervised models like DINOv2. Clearly, something is causing models to inexplicably focus on background noise. But what? Tracing the Cause: High-Norm Outlier Tokens By numerically probing the output embeddings, the authors identified the root cause. A small fraction (around 2%) of patch tokens have abnormally high L2 norms, making them extreme outliers. In the context of neural networks, the weights and biases of the neurons can be represented as vectors. The L2 norm (also known as the Euclidean norm) of a vector is a measure of its magnitude and is computed as the square root of the sum of the squares of its elements. When we say a vector (e.g., weights of a neuron or layer) has an "abnormally high L2 norm", it means that the magnitude or length of that vector is unusually large compared to what is expected or typical in the given context. High L2 norms in neural networks can be indicative of a few issues: : If the model is fitting too closely to the training data and capturing noise, the weights might become very large. Regularization techniques like L2 regularization penalize large weights to mitigate this. Overfitting : Very large or very small weights can cause numerical issues, leading to model instability. Numerical Instability : High L2 norms can also indicate that the model might not generalize well to new, unseen data. Poor Generalization Imagine you're trying to balance a see-saw, and you have weights (or bags of sand) of various sizes to place on either side. Each bag's size represents how much influence or importance it has in balancing the see-saw. Now, if one of those bags is abnormally large (has a high "L2 norm"), it means that the bag is having too much influence on the balance. What does this mean in plain English? In the context of a n , if one part of it has an abnormally high influence (high L2 norm), it might overshadow other important parts, which can lead to wrong decisions or over-dependence on specific features. This isn't ideal, and we often try to adjust the machine to ensure that no single part has too much undue influence. eural network These high-norm tokens correspond directly to the spikes in the attention maps. So the models are selectively highlighting these patches for unknown reasons. Additional experiments reveal: The outliers only appear during the training of sufficiently large models. They emerge about halfway through training. They occur on patches highly similar to their neighbors, suggesting redundancy. Furthermore, while the outliers retain less information about their original patch, they are more predictive of the full image category. This evidence points to an intriguing theory... The Recycling Hypothesis The authors hypothesize that as models train on large datasets like ImageNet-22K, they learn to identify low-information patches whose values can be discarded without losing image semantics. The model then recycles those patch embeddings to store temporary global information about the full image, discarding irrelevant local details. This allows efficient internal feature processing. However, this recycling causes undesirable side effects: Loss of original patch details, hurting dense tasks like segmentation Spiky attention maps that are hard to interpret Incompatibility with object discovery methods So while this behavior emerges naturally, it has negative consequences. Fixing ViTs with Explicit Registers To alleviate the recycled patches, the researchers propose giving models dedicated storage by adding "register" tokens to the sequence. This provides temporary scratch space for internal computations, preventing the hijacking of random patch embeddings. Remarkably, this simple tweak works very well. Models trained with registers show: Smoother, more semantically meaningful attention maps Minor performance boosts on various benchmarks Greatly improved object discovery abilities The registers give the recycling mechanism a proper home, eliminating its nasty side effects. Just a small architectural change unlocks noticeable gains. Key Takeaways This intriguing study provides several valuable insights: Vision transformers develop unforeseen behaviors like recycling patches for storage Adding registers gives temporary scratch space, preventing unintended side effects This simple fix improves attention maps and downstream performance There are likely other undiscovered model artifacts to investigate Peeking inside neural network black boxes reveals much about their inner workings, guiding incremental improvements. More work like this will steadily advance transformer capabilities. The rapid pace of progress in vision transformers shows no signs of slowing down. We live in exciting times! Also published here. or follow me on for more content like this! Subscribe Twitter

Why Are Vision Transformers Focusing on Boring Backgrounds?

কেন ভিশন ট্রান্সফরমার বিরক্তিকর পটভূমিতে ফোকাস করছে?

Warum konzentrieren sich Vision Transformers auf langweilige Hintergründe?

¿Por qué los Vision Transformers se centran en entornos aburridos?

Pourquoi les transformateurs de vision se concentrent-ils sur des arrière-plans ennuyeux ?

विज़न ट्रांसफॉर्मर उबाऊ पृष्ठभूमि पर ध्यान क्यों केंद्रित कर रहे हैं?

なぜビジョントランスフォーマーは退屈な背景に注目するのでしょうか?

Vision Transformers가 지루한 배경에 초점을 맞추는 이유는 무엇입니까?

Por que os Vision Transformers estão se concentrando em fundos chatos?

Tại sao Vision Transformers lại tập trung vào những hình nền nhàm chán?

为什么视觉变形金刚专注于无聊的背景？

Another Love Scene

This article illustrates how to build, in less than 5 minutes, a simple with gradient descent. The goal is to predict a dependent variable (y) from an independent variable (X). linear regression model We want to predict salaries given years of experience. For that, we will explain a few concepts (Gradient descent, Linear model) and code 4 functions: : To predict a salary from years of experience. (We found the best coefficients, B0 and B1, thanks to the gradient descent). Predict function : It allows the visualization of the cost errors to each iteration. It uses mean squared error (the difference between the prediction and the real values). Cost function : Find the best coefficients B0 and B1. Gradient descent : Used to display scatter plots of values predicted from the model and real values with matplotlib. Print graph After that, we will train our model using the learning rate. Finally, we find the best coefficient and predict new values never seen by the model. Linear model In machine learning, the linear model is a regression model searching for the relationship between the independent variable (X) and the dependent variable. In this article, we dive into simple linear regression (with only one independent variable). The formula for simple linear regression is: y = B0 + B1x y is the variable we want to predict x is the independent variable (input variable) B0 is the term representing y when x = 0 B1 is the coefficient (weight) linked to x. When you build a simple linear regression model, the goal is to find the parameters B0 and B1. To find the best parameters, we use gradient descent. Imagine your model finds that the best parameters are B0 = 10 and B1 = 12. If you want to predict y (salary) based on new data (10 years of experience), you just need to calculate it. y (salary) = 10 + (12 * 10) = 130k With a simple calculation, your model succeeds in predicting a salary (130k) based on unknown data (10 years of experience). Gradient descent Gradient descent is one of the methods to train the model and find the best parameters/coefficient (B0 and B1). For that, it calculates the errors and adjusts the gradients according to the partial derivative. Below, I detail and explain the B0 and B1 calculations. exp = np.array([1, 2, 3, 4, 5])
salaries = np.array([30, 40, 50, 60, 70])

learning_rate = 0.1
B0 = 2
B1 = 2

pred = B0 + B1 * exp
     = 2 + (2 * [1, 2, 3, 4, 5])
     = 2 + (2 + 4 + 6 + 8 + 10)
     = [4 + 6 + 8 + 10 + 12]

errors = pred - salaries
       = [4 + 6 + 8 + 10 + 12] - [30, 40, 50, 60, 70]
       = [-26, -34, -42, -50, -58]

gradient_B0 = sum(errors) / len(exp)
            = sum([-26, -34, -42, -50, -58]) / 5
            = -42

gradient_B1 = sum(errors * exp) / len(exp)
            = sum([-26 * 1, -34 * 2, -42 * 3, -50 * 4, -58 * 5]) / 5
            = sum([-26, -68, -126, -200, -290]) / 5
            = -142

B0 = B0 - (gradient_B0 * learning_rate)
   = 2 - (-42 * 0.1)
   = 2 - (-4.2)
   = 6.2

B1 = B1 - (gradient_B1 * learning_rate)
   = 2 - (-142 * 0.1)
   = 2 - (-14.2)
   = 16.2 First, we define an arbitrary or random value for B0 and B1. Based on the formula B0 + B1 * exp, we calculate prediction. Afterward, we calculate errors. Errors are the prediction minus real values (salaries). We use those errors to find gradient_B0 and gradient_B1. Why do we need gradient_B0 and gradient_B1? In simple words, gradient descent tries to find the line-minimizing errors. For that, it updates B0 (Intercept) and B1 (Slope). B0 represents the value of y when x is 0. B1 represents the change in y for a unit change in x. For example, if y increases by 10 when x increases by 1, B1 would be 10. In each iteration, gradient descent will reduce the cost by adjusting the intercept and slope with new values. Creating functions Predict function First of all, we start with the predict function. def predict(exp, B0, B1):
  return B0 + B1 * exp To understand it, I will share the formula of simple linear regression and briefly explain the role of coefficients B0 and B1. linear regression formula: y = β0​ + β1 ​⋅ X+ϵ y is the variable we want to predict (salary) X is the independent variable (years of experience) B0 and B1 are the coefficients we adjust to find the lower cost. The most the cost is the better the predictions will be. Cost function The role of the cost function is to calculate the difference between prediction and real values. For this article’s purpose, I only print the cost for each iteration. According to your need, you can code your own cost function and use it to adjust the parameters of your model. I use mean squared error: MSE = (1/n) * Σ(yi — ŷi)² n is the number of samples yi is the real value ŷi is the predicted value I wrote an article in detail. explaining the MSE def mse_cost_function(error, predictions):
  return np.sum(error ** 2) / (2 * len(predictions)) Gradient descent We apply gradient descent using the learning rate. Its purpose is to adjust the model parameters during each iteration. It controls how quickly or slowly the algorithm converges to a minimum of the cost function. I fixed its value to 0.01. Be careful, if you have a learning rate too high, the gradient descent could never converge towards the minimum. def gradient_descent(exp, salaries, B0, B1, learning_rate, num_iterations):
    num_samples = len(exp)
    cost_history = []
    for _ in range(num_iterations):
        predictions = predict(exp, B0, B1)
        error = predictions - salaries
        gradient_B0 = np.sum(error) / num_samples
        gradient_B1 = np.sum(error * exp) / num_samples
        B0 -= learning_rate * gradient_B0
        B1 -= learning_rate * gradient_B1
        cost = mse_cost_function(error, predictions)
        cost_history.append(cost)
    return B0, B1, cost_history Scatter plot function We display the cost history we saved in the gradient descent. You can try several learning rates and a number of iteration variables to see the impact on the cost curve. Below I tried with num_iterations = 200 def print_graph(exp, salary):
    plt.scatter(exp, salary, label="Real values")
    plt.plot(exp, predict(exp, B0, B1), color='red', label="Linear Regression")
    plt.xlabel("Years of experience")
    plt.ylabel("Salary")
    plt.legend()
    plt.show() Training the model Importing the libraries and initializing variables. exp is an independent variable representing years of experience salaries is a dependent variable representing salary I set up arbitrary values for B0, B1, learning_rate, and num_iterations. num_iterations represents the number of iterations/steps the algorithm performs. import numpy as np
import matplotlib.pyplot as plt
exp = np.array([1, 2, 3, 4, 5])
salaries = np.array([30, 40, 50, 60, 70])
B0 = 2
B1 = 2
learning_rate = 0.01
num_iterations = 1000
B0, B1, cost_history = gradient_descent(exp, salaries, B0, B1, learning_rate, num_iterations)
print_graph(exp, salaries) Visualize Cost Evolution We simply use matplotlib to display a scatter plot of cost_history. It allows us to visualize cost by iteration, in the first iterations, the cost is high, while at the end, the cost tends to be 0. plt.plot(range(num_iterations), cost_history, marker='o')
plt.xlabel('Iteration')
plt.ylabel('Cost')
plt.title('Cost Evolution during Gradient Descent')
plt.axis([0, num_iterations, 0, max(cost_history)])
plt.show() Predict New value After finding the best coefficients, B0 and B1, we are now able to predict new values. For 30 years of experience, our model predicts a salary of 339.73k. new_prediction = predict(30, B0, B1)
print(new_prediction) Conclusion We saw the different steps to code a simple linear regression model. Explaining concepts such as Linear relationship, gradient descent, learning rate, and coefficient representing the intercept and slope. We implemented gradient descent with by calculating B0 et B1, Python and finally, printing the cost evolution with matplotlib. You can find the full source code on and . Kaggle Github Also published here.

How to Implement Gradient Descent with a Linear Regression Model

On December 5th, 2022, I deactivated my Instagram, Facebook (you'll still see my account as I am selling some things on Marketplace, lol), and Twitter accounts. Two years ago, I underwent an experiment in which I . This time, I doubled the ante. quit social media for two months I have stopped participating in Reddit (which was difficult for me because it was the default place I would go to scroll). I do believe that there is a benefit to Reddit, but with ChatGPT, I have been using that far more for programming stuff. Reddit is still my go for opinions on various topics, but far less so than even a year ago. YouTube has been severely limited by removing most of my subscriptions and using an RSS reader to see when new videos are out (taking the thumbnail and clickbait out of the equation). I never had TikTok; I removed myself from Snapchat in 2020. Little did I know my daughter would be born not ten days after starting the experiment, but the fact is that being detached from the distraction has had benefits. incredible It blows my mind how many people don't have the life that they want to have, yet they spend an on their phone. If you read my blog, you are no stranger to the fact that I readily detest the smartphone generation we live in. But, I still believe a smartphone can be used for good if you discipline yourself and curate it as the tool that it is. average of over 3 hours per day It has been four months since I have been on these channels as of April 5th. social media And I am not sure if I will be going back. Here's what benefits you'll get upon stopping the digital heroin needle. 1. Ability to meditate and cohesive thought patterns The BIGGEST (and very first) realization that I had in this experiment is that my thought pattern has been repaired. For a long time, I would lay in bed at night, and my thoughts would meander through various possibilities and places - here, there, everywhere. It was irritating not to be able to think cohesively. I would jump from thought to thought, not unlike a schizophrenic. Without an infinite scroll, my mind seems to be repairing. Deep thinking and states of are achievable. no thinking I am once again able to talk to God. This is only achievable when you take the mind and talk to the Universal Mind. I am being told what to do without asking. I am entering a flow state on a daily basis again. When I write, I am out of the equation not the one who is writing. I am of the conspiracy mind that social media and excessive use of screens is a ploy to . The only way to repair that connection is to severely limit or eliminate the use of these platforms that engineer our minds. You are likely with unhinged social media use. sever our connection to the divine inducing ADHD in yourself This means that inevitably... 2. Your Focus Returns In addition to my thoughts being cohesive and conclusive, my focus has improved markedly since taking myself away from the madness. There was a period of my mid-20s where I don't know if I could have sat down to write the post you're reading right now - I was unable to focus. This was not all social media's fault - but I don't doubt that it contributed as a factor. Spending would absolutely not help with this. that 9 hours a day on your phone at times Since I have not been online, I am able to sit for hours and write, read, code, and just have the deep focus that I enjoy having. I put on some , and 90 minutes fly by at the snap of a finger. binaural beats I am finding myself in a flow state nearly every day. This was not a common occurrence for me a few years back. I am seeing it almost all of the time now. This in and of itself is worth ceasing or limiting your social media use and screen time. 3. Happiness My mood is far more stable. I remember loading up Instagram months ago and having my mood dragged here or there by the algorithm. Comparison is a hole that once you are in, it is tremendously difficult to pull out of, and when you stop comparing yourself to others, you are more creative, you are grateful for what you have, and you find yourself present and at the moment. I loaded up my business Instagram the other day just to check on a couple of things, and my heart rate . It was like I was preparing myself to intravenously inject a drug. When you get clean of this stuff, you understand how fucked that is. It was not unlike opening a porn video when you are getting clean of pornography - the body and mind prepare itself for the dopamine dump that it is about to receive. literally increased, and I felt an overwhelming sense of anxiety 4. Presence I know people who struggle to have a face-to-face conversation; their phone is far more interesting to them. There are people from whom I have sat across the coffee shop table who found it necessary to have their phone on the table and incessantly check it. Those people I have removed from my life - if you cannot be present, I do not want to drag you kicking and screaming into the here and now. I see myself being ever-present - finding that 25-year-old me would not have believed possible. blissful states I was fully present for the birth of my daughter, and the gift that that was will never be lost on me. I have been present to see her first smile, her first babble, and stared into her eyes while she lay on my chest - it is all making me emotional just to type this. It makes me incredibly sad to think that some people just miss out on this experience because they would rather be somewhere else. Mental model of the Universe In taking my time away from the hustle and bustle, it was as if I retired to the countryside from the concrete jungle. I have been able to go inside myself and discover many things about myself and the Universe at large. I have read great works about the consciousness of the mind and have built a new model for my conception of what this . all is I would have never done this if I was wasting my time on girls in bikinis, fast cars, and pointless memes. 5. Screentime down like a fat kid on a seesaw I spend on my phone now. This is in line with my article where I show you how to spend far less time on your phone, and my life is so much better for it. well under an hour a day Not only do my eyes work better, my body feels better, too. I have much less back pain and shoulder pain, and I feel less hunched. I am sure that in 10 years, almost everyone will have a drastic forward head posture, and it will be bred into the human race as an adaptation. 6. Business Booming I have had since I stopped using social media. hundreds of you visit this blog You are finding these posts organically, and that makes me smile inside. I am not sharing them on social media; perhaps you are, but I will never know! My real estate business is actually up year on year, my book is coming along, and I have projects in the works that will be released later this year. All of this is because I am spending more time on the things that matter and cutting my time on the things that And all of this with a newborn at home. No excuses - just better use of time. do not. Conclusion I have since returned to Twitter; however, I am not sure how long that will stand - it appears that the platform is pretty much , and I am not sure I will fork over $7 USD for the privilege of having my tweets seen. I like the platform in that it requires you to read and think rather than just posting mindless images for people to double-tap on. going paid I do not see myself going back to Instagram . I may return to post videos and promote , but I may just have my wife do that management for me so that I am not dragged into the garbage. Facebook will never really see my active return, as I am pretty sure it is a dead platform. as a consumer my book, Mountain The lesson for me is to be a creator, not a consumer, and to use these platforms with tremendous discipline if you so choose. To this extent, I believe: These apps should not reside on your phone. You can download them and post them, then remove them. Or, you can have a dedicated device where you post from. I personally have used a tablet to post from for the six months prior to my 4-month hiatus. You should spend less than one minute a day on high-dopamine apps like Instagram. You can login and post, and then jump off. Forget about using them to communicate with people. For most people, that would mean deleting social media from their phone and using the phone simply as a communicative device (I understand that people talk on DM via some of these apps, but if you care about the person, get their phone number and move to or some other messaging app.). You are wasting tremendous time on these apps for near (if not zero) no return on your time invested. signal You must be disciplined and not scroll. Scrolling is the beginning of the end for your focus and ability to be productive with these apps. Be highly cognizant of what will happen if you slip up. Ask yourself if you even need these apps. If you work a job or have success that doesn't require active promotion of your business, you can honestly forego social media altogether. You will be happier. I promise you that. If you make your living on social media, feel free to move along. But - If you make zero money or aren't learning from it, burn it. Take scheduled hiatuses You should take months off every year if you can. Reset your mind and use intention when rejoining (if you so choose to.) If you are careful, you can use these apps, but I truly recommend you cease their use and see if you . I think you'll be surprised at the benefits, too. really need them Have you fully quit social media? Tell me about your experience in the comments. Until next time. Also published . here

My Experience After Quitting Social Media Indefinitely

Are you a mid-level developer, on the verge of moving into a senior role, but feeling like a fraud? You're not alone. Impostor Syndrome affects many, especially in the tech industry. It's like being an actor in a play, waiting for the audience to find out you've forgotten your lines. Understanding Impostor Syndrome Impostor Syndrome is a psychological pattern where individuals doubt their accomplishments and fear being exposed as a "fraud." Despite external evidence of their competence, those experiencing this syndrome remain convinced that they're deceiving others into thinking they're more intelligent than they believe themselves to be. Did you know that ? So, if you're feeling like a fraud, remember, you're in good company! 70% of people experience imposter syndrome at some point in their lives Interestingly, Impostor Syndrome often coexists with the Dunning-Kruger effect, a cognitive bias where individuals with low ability at a task overestimate their ability. It's like a seesaw; on one end, you have impostor syndrome, on the other end, Dunning-Kruger. As a rising developer, it's key to be aware of yourself. Strike a balance between self-doubt and overconfidence. Identifying Impostor Syndrome Here are a few common signs that you might be dealing with Impostor Syndrome: : A nagging feeling that you're not good enough, regardless of your achievements. Constant self-doubt : You believe you got lucky, rather than acknowledging your skills and effort. Attributing success to luck : Fear becomes crippling, stopping you from taking on new challenges or opportunities. Fear of failure : You work longer hours to avoid being "found out" or to match the performance of others. Overworking : You're unable to accept compliments or recognition for your work. Downplaying your success Managing Impostor Syndrome Now that we've identified Impostor Syndrome, let's discuss some strategies to manage it. : Acceptance is the first step. If you're feeling like an impostor, remember it's just a feeling, not a fact. Acknowledge your fears, but don't let them define you. Recognize and acknowledge : Keep a record of positive feedback, achievements, and moments when you felt proud of your work. Refer to this when self-doubt creeps in. Document your successes : Accept that failures and mistakes are part of the journey, not evidence of your incompetence. They are opportunities to learn and grow. Embrace failure and learn : Share your feelings with a mentor, colleague, or support group. You'll be surprised how many people experience similar feelings. Reach out : Overworking is a common trait among those dealing with Impostor Syndrome. Make time for hobbies, exercise, and relaxation to maintain balance. Self-care You're Not an Impostor - Ralph Waldo Emerson. "Every artist was first an amateur" Remember, . Our industry is a dynamic, ever-evolving field. The day you stop learning is the day you stop growing. So, cut yourself some slack, embrace the journey, and celebrate your successes. . it's okay to not know everything You've earned them As you step into your new role as a senior developer, remember, it's normal to feel out of depth sometimes. Don't let Impostor Syndrome hold you back from realizing your potential. You're not an impostor; you're a developer navigating your path, armed with the courage to learn and the humility to grow.

From Mid to Senior: How to Deal With Imposter Syndrome

মিড থেকে সিনিয়র: ইমপোস্টার সিন্ড্রোমের সাথে কীভাবে মোকাবিলা করবেন

Vom Mittel- bis zum Senior: Wie man mit dem Imposter-Syndrom umgeht

De Mediana a Mayor: Cómo Lidiar con el Síndrome del Impostor

Du milieu à l'aîné : comment gérer le syndrome de l'imposteur

मध्य से वरिष्ठ तक: इम्पोस्टर सिंड्रोम से कैसे निपटें

中堅からシニアまで: インポスター症候群にどう対処するか

중급에서 고급까지: 임포스터 증후군에 대처하는 방법

De médio a sênior: como lidar com a síndrome do impostor

Orta Yaştan Kıdemliye: Sahtekarlık Sendromu ile Nasıl Başa Çıkılır?

Từ trung bình đến cao cấp: Cách đối phó với hội chứng kẻ mạo danh

从中年到老年：如何应对冒名顶替综合症

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