Every Star Trek show has a few common threads, and most of them have a ship and a crew that are the focus of the plot. The chemistry between the crew is often part of the story, with drama between characters generating some of the best and most compelling plotlines.

Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production. Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. Read more about his workflow below. Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from $999. GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder. In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. Save the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session. From Concept to Completion To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms. For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI. ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated. Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY. NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU. ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images. Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptation (LoRA) models — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost. LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY. “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY  Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models. Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch. To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x. Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started. Photorealistic renders. Image courtesy of FITY. Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time. Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY. “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information.

In this article:See more ▼Post may contain affiliate links which give us commissions at no cost to you.Preppy fonts capture that quintessential East Coast elite vibe – think Nantucket summers, yacht clubs, and monogrammed everything. These typefaces embody the perfect balance of tradition and refinement that makes preppy design so timeless and aspirational. But here’s the thing: not all fonts can pull off that coveted preppy aesthetic. The best preppy fonts have a certain je ne sais quoi – they’re classic without being stuffy, elegant without being pretentious, and refined without being inaccessible. In this comprehensive guide, we’ll explore the most gorgeous preppy fonts that’ll have your designs looking like they belong in the pages of Town & Country magazine. So grab your pearls and let’s dive into this typographic treasure trove! 👋 Psst... Did you know you can get unlimited downloads of 59,000+ fonts and millions of other creative assets for just $16.95/mo? Learn more »The Preppiest Fonts That Define 2025 Let’s start with the crème de la crème – the fonts that truly embody that preppy spirit. I’ve curated this list based on their ability to channel that classic New England charm while remaining versatile enough for modern design needs. Gatsby Prelude Gatsby Prelude is an elegant and modern Art Deco font duo. It combines sans-serif characters with decorative elements, perfect for creating sophisticated designs with a touch of vintage glamour.Burtuqol Burtuqol is a vintage slab serif font that exudes a retro charm. Its bold, chunky serifs and aged appearance make it ideal for projects requiring a nostalgic or timeworn aesthetic.Gafler Gafler is a classy vintage serif font with decorative elements. It combines elegance with a touch of old-world charm, making it perfect for high-end branding and classic design projects.Get 300+ Fonts for FREEEnter your email to download our 100% free "Font Lover's Bundle". For commercial & personal use. No royalties. No fees. No attribution. 100% free to use anywhere. Kagnue Kagnue is a modern and classy serif font. It offers a fresh take on traditional serif typefaces, blending contemporary design with timeless elegance for versatile use in various design contexts.The Blendinroom The Blendinroom is a retro serif typeface featuring luxurious ligatures. Its vintage-inspired design and intricate details make it ideal for creating sophisticated, old-world aesthetics in design projects.MODER BULES MODER BULES is a playful sans-serif font with a fun, childlike appeal. Its quirky design makes it perfect for kids-oriented projects or Halloween-themed designs, adding a touch of whimsy to typography.Nickey Vintage Nickey Vintage is a decorative display font with a strong vintage flair. Its bold, eye-catching characters make it ideal for headlines, logos, and designs that require a striking retro aesthetic.Ladger Ladger is a casual script font that exudes luxury and elegance. Its flowing lines and graceful curves make it perfect for logo designs, high-end branding, and projects requiring a touch of sophistication.Hadnich Hadnich is a modern script font with a brush-like quality. Its versatile design makes it suitable for various applications, from signage to branding, offering a contemporary take on handwritten typography.Belly and Park Belly and Park is a condensed beauty classic font family featuring both serif and sans-serif styles. Its vintage-inspired design and narrow characters make it ideal for creating elegant, space-efficient layouts.Loubag Loubag is a modern retro font family encompassing sans-serif, serif, and decorative styles. Its bold, fashion-forward design makes it perfect for creating eye-catching headlines and trendy branding materials.Petter And Sons Petter And Sons is a romantic beauty script font with decorative elements. Its elegant, flowing design makes it ideal for wedding invitations, luxury branding, and projects requiring a touch of refined beauty.Preteoria Preteoria is a modern cursive font with a sleek, contemporary feel. Its smooth curves and clean lines make it versatile for various design applications, from branding to digital media projects.Delauney Delauney is an Art Deco-inspired sans-serif font that captures the essence of the roaring twenties. Its geometric shapes and sleek lines make it perfect for creating designs with a bold, metropolitan flair.Amadi Vintage Amadi Vintage is a chic and beautiful serif font with a timeless appeal. Its elegant design and vintage-inspired details make it ideal for creating sophisticated, classic-looking designs and branding materials.LEDERSON LEDERSON is a vintage-inspired shadow font. Its weathered look and strong character make it perfect for designs requiring an authentic, aged aesthetic.Fancyou Fancyou is a versatile serif font with alternate characters. Its elegant design and customizable options make it suitable for a wide range of projects, from formal invitations to modern branding materials.Catterpie Font Catterpie is a handwritten script font that mimics natural handlettering. Its fluid, signature-like style makes it perfect for creating personal, authentic-looking designs and branding materials.Jemmy Wonder Jemmy Wonder is a Victorian-inspired serif font with a strong vintage character. Its ornate details and old-world charm make it ideal for creating designs with a classic, nostalgic feel.Monthey Monthey is a bold, elegant vintage display serif font. Its chunky characters and 70s-inspired design make it perfect for creating eye-catching headlines and retro-themed branding materials.Madville Madville is a classy script font with a versatile design. Its elegant curves and smooth transitions make it suitable for a wide range of projects, from formal invitations to modern branding materials.Crowk Crowk is a luxury serif font with a timeless, elegant appeal. Its refined design and classic proportions make it ideal for high-end branding, editorial layouts, and sophisticated design projects.Peachy Fantasy Peachy Fantasy is an Art Nouveau-inspired display font with decorative elements. Its vintage charm and unique character make it perfect for creating eye-catching headlines and artistic design projects.Cormier Cormier is a decorative sans-serif font with a strong artistic flair. Its unique design and fashion-forward aesthetic make it ideal for creating bold, attention-grabbing headlines and branding materials.Syntage Syntage is a decorative modern luxury font with both serif and ornamental elements. Its retro-inspired design and luxurious details make it perfect for high-end branding and sophisticated design projects.Jeniffer Selfies Jeniffer Selfies is a retro-inspired bold font combining sans-serif and script styles. Its playful design and vintage feel make it ideal for creating nostalgic, fun-loving designs and branding materials.The Rilman The Rilman is a ligature-rich rounded sans-serif font with a 90s-inspired design. Its retro charm and smooth edges make it perfect for creating playful, nostalgic designs and branding materials.Milky Croffle Milky Croffle is a classic beauty elegant serif font. Its refined design and timeless appeal make it ideal for creating sophisticated layouts, high-end branding, and projects requiring a touch of traditional elegance. What Makes a Font Feel Preppy? You might be wondering what exactly gives a font that unmistakable preppy vibe. After years of working with typography, I’ve identified several key characteristics that define the preppy aesthetic: Classic Serif Structure: Most preppy fonts are serifs, drawing inspiration from traditional typography used in prestigious publications and academic institutions. These serifs aren’t just decorative – they’re a nod to centuries of refined typographic tradition. Elegant Proportions: Preppy fonts tend to have well-balanced letterforms with moderate contrast between thick and thin strokes. They’re neither too delicate nor too bold – just perfectly poised, like a well-tailored blazer. Timeless Appeal: The best preppy fonts don’t scream “trendy.” Instead, they whisper “timeless.” They’re the typography equivalent of a strand of pearls – always appropriate, never out of style. Sophisticated Details: Look for subtle refinements in letterforms – graceful curves, well-crafted terminals, and thoughtful spacing. These details separate truly preppy fonts from their more pedestrian cousins. Heritage Inspiration: Many preppy fonts draw inspiration from historical typefaces used by Ivy League universities, prestigious publishing houses, and old-money families. This connection to tradition is what gives them their authentic preppy pedigree. Where to Use Preppy Fonts (And Where Not To) Preppy fonts aren’t one-size-fits-all solutions, but when used appropriately, they’re absolutely magical. Here’s where they shine brightest: Wedding Invitations: Nothing says “elegant affair” quite like a beautifully chosen preppy serif. These fonts are perfect for formal invitations, save-the-dates, and wedding stationery that needs to feel sophisticated and timeless. Luxury Branding: Brands targeting affluent audiences or positioning themselves as premium often benefit from preppy typography. Think boutique hotels, high-end fashion, or artisanal goods. Editorial Design: Magazines, newsletters, and publications focusing on lifestyle, fashion, or culture can leverage preppy fonts to establish credibility and sophistication. Corporate Identity: Professional services, law firms, financial institutions, and consulting companies often choose preppy fonts to convey trustworthiness and establishment credibility. Academic Materials: Universities, prep schools, and educational institutions naturally gravitate toward preppy typography that reflects their traditional values and heritage. However, preppy fonts might not be the best choice for: Tech Startups: The traditional nature of preppy fonts can feel at odds with innovation and disruption. Modern sans serifs usually work better for tech companies. Children’s Brands: While elegant, preppy fonts might feel too formal for products targeting young children. Playful, rounded fonts are typically more appropriate. Casual Brands: If your brand personality is laid-back and approachable, overly formal preppy fonts might create distance between you and your audience. How to Choose the Perfect Preppy Font Selecting the right preppy font requires careful consideration of several factors. Here’s my tried-and-true process: Consider Your Audience: Are you designing for actual prep school alumni, or are you trying to capture that aspirational preppy aesthetic for a broader audience? Your target demographic should influence how traditional or accessible your font choice is. Evaluate the Context: A wedding invitation can handle more ornate details than a business card. Consider where your text will appear and how much personality the context can support. Test Readability: Preppy doesn’t mean hard to read. Always test your chosen font at various sizes to ensure it remains legible. Your typography should enhance communication, not hinder it. Think About Pairing: Will you be using this font alone or pairing it with others? Consider how your preppy serif will work alongside sans serifs for body text or script fonts for accents. Consider Your Medium: Some preppy fonts work beautifully in print but struggle on screens. Others are optimized for digital use but lose their charm in print. Choose accordingly. Pairing Preppy Fonts Like a Pro The magic of preppy typography often lies in thoughtful font pairing. Here are some winning combinations that never fail: Classic Serif + Clean Sans Serif: Pair your preppy serif headline font with a crisp, readable sans serif for body text. This creates hierarchy while maintaining sophistication. Traditional Serif + Script Accent: Use a refined script font sparingly for special elements like signatures or decorative text, balanced by a solid preppy serif for main content. Serif + Serif Variation: Sometimes pairing two serifs from the same family – perhaps a regular weight for body text and a bold condensed version for headlines – creates beautiful, cohesive designs. Remember, less is often more with preppy design. Stick to two or three fonts maximum, and let the inherent elegance of your chosen typefaces do the heavy lifting. The Psychology Behind Preppy Typography Understanding why preppy fonts work so well psychologically can help you use them more effectively. These typefaces tap into powerful associations: Trust and Reliability: The traditional nature of preppy fonts suggests stability and permanence. When people see these fonts, they subconsciously associate them with established institutions and time-tested values. Sophistication and Education: Preppy fonts are reminiscent of academic institutions and intellectual pursuits. They suggest refinement, education, and cultural awareness. Exclusivity and Status: Let’s be honest – part of the preppy aesthetic’s appeal is its association with privilege and exclusivity. These fonts can make designs feel more premium and aspirational. Quality and Craftsmanship: The careful attention to typographic detail in preppy fonts suggests similar attention to quality in whatever they’re representing. Modern Takes on Classic Preppy Style While preppy fonts are rooted in tradition, the best designers know how to give them contemporary flair. Here are some ways to modernize preppy typography: Unexpected Color Palettes: Pair traditional preppy fonts with modern colors. Think sage green and cream instead of navy and white, or soft blush tones for a fresh take. Generous White Space: Give your preppy fonts room to breathe with plenty of white space. This modern approach to layout keeps traditional fonts feeling fresh and uncluttered. Mixed Media Integration: Combine preppy typography with photography, illustrations, or graphic elements for a more contemporary feel while maintaining that sophisticated foundation. Strategic Contrast: Pair your refined preppy fonts with unexpected elements – maybe a bold geometric shape or modern photography – to create dynamic tension. Preppy Font Alternatives for Every Budget Not every preppy project has a premium font budget, and that’s okay! Here are some strategies for achieving that coveted preppy look without breaking the bank: Google Fonts Gems: Fonts like Playfair Display, Crimson Text, and Libre Baskerville offer sophisticated serif options that can work beautifully for preppy designs. Font Pairing Magic: Sometimes combining two free fonts thoughtfully can create a more expensive-looking result than using a single premium font poorly. Focus on Execution: A free font used with excellent spacing, hierarchy, and layout will always look better than an expensive font used carelessly. Common Preppy Font Mistakes to Avoid Even with the perfect preppy font, poor execution can ruin the effect. Here are the most common mistakes I see designers make: Overdoing the Decoration: Just because a font has elegant details doesn’t mean you need to add more flourishes. Let the typeface’s inherent sophistication speak for itself. Ignoring Hierarchy: Preppy design relies on clear, elegant hierarchy. Don’t make everything the same size or weight – create visual flow through thoughtful typography scaling. Poor Spacing: Cramped text kills the elegant feel of preppy fonts. Give your typography generous leading and appropriate margins. Wrong Context: Using an ultra-formal preppy font for a casual pizza restaurant’s menu will feel jarring and inappropriate. Match your font choice to your content and audience. The Future of Preppy Typography As we look ahead in 2025, preppy fonts continue to evolve while maintaining their classic appeal. We’re seeing interesting trends emerge: Variable Font Technology: Modern preppy fonts are increasingly available as variable fonts, allowing designers to fine-tune weight, width, and optical size for perfect customization. Screen Optimization: Classic preppy fonts are being redrawn and optimized for digital screens without losing their traditional charm. Inclusive Preppy: Designers are expanding the preppy aesthetic beyond its traditional boundaries, creating fonts that maintain sophistication while feeling more accessible and diverse. Sustainable Design: The timeless nature of preppy fonts aligns perfectly with sustainable design principles – these typefaces won’t look dated next year, making them environmentally responsible choices. Conclusion: Embracing Timeless Elegance Preppy fonts represent more than just letterforms – they’re a gateway to timeless elegance and sophisticated communication. Whether you’re designing wedding invitations for a Martha’s Vineyard ceremony or creating brand identity for a boutique law firm, the right preppy font can elevate your work from merely professional to genuinely distinguished. The beauty of preppy typography lies in its ability to feel both traditional and fresh, formal yet approachable. These fonts have stood the test of time because they tap into something fundamental about how we perceive quality, tradition, and sophistication. As you explore the world of preppy fonts, remember that the best typography choices support your message rather than overshadowing it. Choose fonts that enhance your content’s inherent qualities and speak to your audience’s aspirations and values. So whether you’re channeling that old-money aesthetic or simply want to add a touch of refined elegance to your designs, preppy fonts offer a wealth of possibilities. After all, good typography, like good manners, never goes out of style.

Reading Time: 9 minutes In marketing, data isn’t a buzzword. It’s the lifeblood of all successful campaigns. But are you truly harnessing its power, or are you drowning in a sea of information? To answer this question (and many others), we sat down with Ankur Kothari, a seasoned Martech expert, to dive deep into this crucial topic. This interview, originally conducted for Chapter 6 of “The Customer Engagement Book: Adapt or Die” explores how businesses can translate raw data into actionable insights that drive real results. Ankur shares his wealth of knowledge on identifying valuable customer engagement data, distinguishing between signal and noise, and ultimately, shaping real-time strategies that keep companies ahead of the curve.   Ankur Kothari Q&A Interview 1. What types of customer engagement data are most valuable for making strategic business decisions? Primarily, there are four different buckets of customer engagement data. I would begin with behavioral data, encompassing website interaction, purchase history, and other app usage patterns. Second would be demographic information: age, location, income, and other relevant personal characteristics. Third would be sentiment analysis, where we derive information from social media interaction, customer feedback, or other customer reviews. Fourth would be the customer journey data. We track touchpoints across various channels of the customers to understand the customer journey path and conversion. Combining these four primary sources helps us understand the engagement data. 2. How do you distinguish between data that is actionable versus data that is just noise? First is keeping relevant to your business objectives, making actionable data that directly relates to your specific goals or KPIs, and then taking help from statistical significance. Actionable data shows clear patterns or trends that are statistically valid, whereas other data consists of random fluctuations or outliers, which may not be what you are interested in. You also want to make sure that there is consistency across sources. Actionable insights are typically corroborated by multiple data points or channels, while other data or noise can be more isolated and contradictory. Actionable data suggests clear opportunities for improvement or decision making, whereas noise does not lead to meaningful actions or changes in strategy. By applying these criteria, I can effectively filter out the noise and focus on data that delivers or drives valuable business decisions. 3. How can customer engagement data be used to identify and prioritize new business opportunities? First, it helps us to uncover unmet needs. By analyzing the customer feedback, touch points, support interactions, or usage patterns, we can identify the gaps in our current offerings or areas where customers are experiencing pain points. Second would be identifying emerging needs. Monitoring changes in customer behavior or preferences over time can reveal new market trends or shifts in demand, allowing my company to adapt their products or services accordingly. Third would be segmentation analysis. Detailed customer data analysis enables us to identify unserved or underserved segments or niche markets that may represent untapped opportunities for growth or expansion into newer areas and new geographies. Last is to build competitive differentiation. Engagement data can highlight where our companies outperform competitors, helping us to prioritize opportunities that leverage existing strengths and unique selling propositions. 4. Can you share an example of where data insights directly influenced a critical decision? I will share an example from my previous organization at one of the financial services where we were very data-driven, which made a major impact on our critical decision regarding our credit card offerings. We analyzed the customer engagement data, and we discovered that a large segment of our millennial customers were underutilizing our traditional credit cards but showed high engagement with mobile payment platforms. That insight led us to develop and launch our first digital credit card product with enhanced mobile features and rewards tailored to the millennial spending habits. Since we had access to a lot of transactional data as well, we were able to build a financial product which met that specific segment’s needs. That data-driven decision resulted in a 40% increase in our new credit card applications from this demographic within the first quarter of the launch. Subsequently, our market share improved in that specific segment, which was very crucial. 5. Are there any other examples of ways that you see customer engagement data being able to shape marketing strategy in real time? When it comes to using the engagement data in real-time, we do quite a few things. In the recent past two, three years, we are using that for dynamic content personalization, adjusting the website content, email messaging, or ad creative based on real-time user behavior and preferences. We automate campaign optimization using specific AI-driven tools to continuously analyze performance metrics and automatically reallocate the budget to top-performing channels or ad segments. Then we also build responsive social media engagement platforms like monitoring social media sentiments and trending topics to quickly adapt the messaging and create timely and relevant content. With one-on-one personalization, we do a lot of A/B testing as part of the overall rapid testing and market elements like subject lines, CTAs, and building various successful variants of the campaigns. 6. How are you doing the 1:1 personalization? We have advanced CDP systems, and we are tracking each customer’s behavior in real-time. So the moment they move to different channels, we know what the context is, what the relevance is, and the recent interaction points, so we can cater the right offer. So for example, if you looked at a certain offer on the website and you came from Google, and then the next day you walk into an in-person interaction, our agent will already know that you were looking at that offer. That gives our customer or potential customer more one-to-one personalization instead of just segment-based or bulk interaction kind of experience. We have a huge team of data scientists, data analysts, and AI model creators who help us to analyze big volumes of data and bring the right insights to our marketing and sales team so that they can provide the right experience to our customers. 7. What role does customer engagement data play in influencing cross-functional decisions, such as with product development, sales, and customer service? Primarily with product development — we have different products, not just the financial products or products whichever organizations sell, but also various products like mobile apps or websites they use for transactions. So that kind of product development gets improved. The engagement data helps our sales and marketing teams create more targeted campaigns, optimize channel selection, and refine messaging to resonate with specific customer segments. Customer service also gets helped by anticipating common issues, personalizing support interactions over the phone or email or chat, and proactively addressing potential problems, leading to improved customer satisfaction and retention. So in general, cross-functional application of engagement improves the customer-centric approach throughout the organization. 8. What do you think some of the main challenges marketers face when trying to translate customer engagement data into actionable business insights? I think the huge amount of data we are dealing with. As we are getting more digitally savvy and most of the customers are moving to digital channels, we are getting a lot of data, and that sheer volume of data can be overwhelming, making it very difficult to identify truly meaningful patterns and insights. Because of the huge data overload, we create data silos in this process, so information often exists in separate systems across different departments. We are not able to build a holistic view of customer engagement. Because of data silos and overload of data, data quality issues appear. There is inconsistency, and inaccurate data can lead to incorrect insights or poor decision-making. Quality issues could also be due to the wrong format of the data, or the data is stale and no longer relevant. As we are growing and adding more people to help us understand customer engagement, I’ve also noticed that technical folks, especially data scientists and data analysts, lack skills to properly interpret the data or apply data insights effectively. So there’s a lack of understanding of marketing and sales as domains. It’s a huge effort and can take a lot of investment. Not being able to calculate the ROI of your overall investment is a big challenge that many organizations are facing. 9. Why do you think the analysts don’t have the business acumen to properly do more than analyze the data? If people do not have the right idea of why we are collecting this data, we collect a lot of noise, and that brings in huge volumes of data. If you cannot stop that from step one—not bringing noise into the data system—that cannot be done by just technical folks or people who do not have business knowledge. Business people do not know everything about what data is being collected from which source and what data they need. It’s a gap between business domain knowledge, specifically marketing and sales needs, and technical folks who don’t have a lot of exposure to that side. Similarly, marketing business people do not have much exposure to the technical side — what’s possible to do with data, how much effort it takes, what’s relevant versus not relevant, and how to prioritize which data sources will be most important. 10. Do you have any suggestions for how this can be overcome, or have you seen it in action where it has been solved before? First, cross-functional training: training different roles to help them understand why we’re doing this and what the business goals are, giving technical people exposure to what marketing and sales teams do. And giving business folks exposure to the technology side through training on different tools, strategies, and the roadmap of data integrations. The second is helping teams work more collaboratively. So it’s not like the technology team works in a silo and comes back when their work is done, and then marketing and sales teams act upon it. Now we’re making it more like one team. You work together so that you can complement each other, and we have a better strategy from day one. 11. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations? We present clear business cases where we demonstrate how data-driven recommendations can directly align with business objectives and potential ROI. We build compelling visualizations, easy-to-understand charts and graphs that clearly illustrate the insights and the implications for business goals. We also do a lot of POCs and pilot projects with small-scale implementations to showcase tangible results and build confidence in the data-driven approach throughout the organization. 12. What technologies or tools have you found most effective for gathering and analyzing customer engagement data? I’ve found that Customer Data Platforms help us unify customer data from various sources, providing a comprehensive view of customer interactions across touch points. Having advanced analytics platforms — tools with AI and machine learning capabilities that can process large volumes of data and uncover complex patterns and insights — is a great value to us. We always use, or many organizations use, marketing automation systems to improve marketing team productivity, helping us track and analyze customer interactions across multiple channels. Another thing is social media listening tools, wherever your brand is mentioned or you want to measure customer sentiment over social media, or track the engagement of your campaigns across social media platforms. Last is web analytical tools, which provide detailed insights into your website visitors’ behaviors and engagement metrics, for browser apps, small browser apps, various devices, and mobile apps. 13. How do you ensure data quality and consistency across multiple channels to make these informed decisions? We established clear guidelines for data collection, storage, and usage across all channels to maintain consistency. Then we use data integration platforms — tools that consolidate data from various sources into a single unified view, reducing discrepancies and inconsistencies. While we collect data from different sources, we clean the data so it becomes cleaner with every stage of processing. We also conduct regular data audits — performing periodic checks to identify and rectify data quality issues, ensuring accuracy and reliability of information. We also deploy standardized data formats. On top of that, we have various automated data cleansing tools, specific software to detect and correct data errors, redundancies, duplicates, and inconsistencies in data sets automatically. 14. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years? The first thing that’s been the biggest trend from the past two years is AI-driven decision making, which I think will become more prevalent, with advanced algorithms processing vast amounts of engagement data in real-time to inform strategic choices. Somewhat related to this is predictive analytics, which will play an even larger role, enabling businesses to anticipate customer needs and market trends with more accuracy and better predictive capabilities. We also touched upon hyper-personalization. We are all trying to strive toward more hyper-personalization at scale, which is more one-on-one personalization, as we are increasingly capturing more engagement data and have bigger systems and infrastructure to support processing those large volumes of data so we can achieve those hyper-personalization use cases. As the world is collecting more data, privacy concerns and regulations come into play. I believe in the next few years there will be more innovation toward how businesses can collect data ethically and what the usage practices are, leading to more transparent and consent-based engagement data strategies. And lastly, I think about the integration of engagement data, which is always a big challenge. I believe as we’re solving those integration challenges, we are adding more and more complex data sources to the picture. So I think there will need to be more innovation or sophistication brought into data integration strategies, which will help us take a truly customer-centric approach to strategy formulation.   This interview Q&A was hosted with Ankur Kothari, a previous Martech Executive, for Chapter 6 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Ankur Kothari Q&A: Customer Engagement Book Interview appeared first on MoEngage.

Posted on : June 13, 2025 By Tech World Times Development and Testing  Rate this post Sorting helps organize data in a specific order. It is used in search, reports, and efficient storage. Different sorting algorithms offer different performance. In this article, we will explain the Time Complexity of Sorting Algorithms in simple words. We will cover Python, Java, and C++ examples. 1. What Is Time Complexity? Time complexity tells how fast an algorithm runs. It measures the number of steps as input grows. It is written in Big-O notation. For example, O(n²) means steps grow with the square of inputs. 2. Types of Time Complexity Here are common types: O(1): Constant time O(n): Linear time O(n log n): Log-linear time O(n²): Quadratic time We will now apply these to sorting. 3. Bubble Sort Bubble Sort compares two numbers and swaps them if needed. It repeats until the list is sorted. Time Complexity: Best Case: O(n) (if already sorted) Average Case: O(n²) Worst Case: O(n²) Python Example: pythonCopyEditdef bubble_sort(arr): n = len(arr) for i in range(n): for j in range(n - i - 1): if arr[j] > arr[j+1]: arr[j], arr[j+1] = arr[j+1], arr[j] Java Example: javaCopyEditvoid bubbleSort(int arr[]) { int n = arr.length; for (int i = 0; i < n-1; i++) for (int j = 0; j < n-i-1; j++) if (arr[j] > arr[j+1]) { int temp = arr[j]; arr[j] = arr[j+1]; arr[j+1] = temp; } } C++ Example: cppCopyEditvoid bubbleSort(int arr[], int n) { for (int i = 0; i < n-1; i++) for (int j = 0; j < n-i-1; j++) if (arr[j] > arr[j+1]) swap(arr[j], arr[j+1]); } 4. Selection Sort This sort picks the smallest number and places it at the front. Time Complexity: Best Case: O(n²) Average Case: O(n²) Worst Case: O(n²) Python Example: pythonCopyEditdef selection_sort(arr): for i in range(len(arr)): min_idx = i for j in range(i+1, len(arr)): if arr[j] < arr[min_idx]: min_idx = j arr[i], arr[min_idx] = arr[min_idx], arr[i] 5. Insertion Sort This algorithm builds the final list one item at a time. Time Complexity: Best Case: O(n) Average Case: O(n²) Worst Case: O(n²) Java Example: javaCopyEditvoid insertionSort(int arr[]) { for (int i = 1; i < arr.length; i++) { int key = arr[i]; int j = i - 1; while (j >= 0 && arr[j] > key) { arr[j + 1] = arr[j]; j = j - 1; } arr[j + 1] = key; } } 6. Merge Sort Merge Sort splits the array into halves and merges them back in order. Time Complexity of Sorting Algorithms like Merge Sort is usually better. Best Case: O(n log n) Average Case: O(n log n) Worst Case: O(n log n) Python Example: pythonCopyEditdef merge_sort(arr): if len(arr) > 1: mid = len(arr) // 2 left = arr[:mid] right = arr[mid:] merge_sort(left) merge_sort(right) i = j = k = 0 while i < len(left) and j < len(right): if left[i] < right[j]: arr[k] = left[i] i += 1 else: arr[k] = right[j] j += 1 k += 1 arr[k:] = left[i:] + right[j:] 7. Quick Sort Quick Sort picks a pivot and places smaller numbers before it. Time Complexity: Best Case: O(n log n) Average Case: O(n log n) Worst Case: O(n²) C++ Example: cppCopyEditint partition(int arr[], int low, int high) { int pivot = arr[high]; int i = low - 1; for (int j = low; j < high; j++) { if (arr[j] < pivot) { i++; swap(arr[i], arr[j]); } } swap(arr[i+1], arr[high]); return i + 1; } void quickSort(int arr[], int low, int high) { if (low < high) { int pi = partition(arr, low, high); quickSort(arr, low, pi - 1); quickSort(arr, pi + 1, high); } } 8. Built-in Sort Methods Languages have built-in sort functions. These are well-optimized. Python: sorted() or list.sort() uses TimSort Time Complexity: O(n log n) Java: Arrays.sort() uses Dual-Pivot QuickSort Time Complexity: O(n log n) C++: std::sort() uses IntroSort Time Complexity: O(n log n) These are better for most real-world tasks. 9. Time Complexity Comparison Table AlgorithmBestAverageWorstStableBubble SortO(n)O(n²)O(n²)YesSelection SortO(n²)O(n²)O(n²)NoInsertion SortO(n)O(n²)O(n²)YesMerge SortO(n log n)O(n log n)O(n log n)YesQuick SortO(n log n)O(n log n)O(n²)NoTimSort (Python)O(n)O(n log n)O(n log n)YesIntroSort (C++)O(n log n)O(n log n)O(n log n)No 10. How to Choose the Right Algorithm? Use Merge Sort for large stable data. Use Quick Sort for faster average speed. Use Insertion Sort for small or nearly sorted lists. Use built-in sort functions unless you need control. Conclusion The Time Complexity of Sorting Algorithms helps us pick the right tool. Bubble, Selection, and Insertion Sort are simple but slow. Merge and Quick Sort are faster and used often. Built-in functions are highly optimized. Python, Java, and C++ each have their strengths. Understand your problem and input size. Then pick the sorting method. This ensures better speed and performance in your code. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com

Credit: Image Credit: Ian Moore / James Martin / Viva Tung / Mashable Composite Connections: Sports Edition is a new version of the popular New York Times word game that seeks to test the knowledge of sports fans. Like the original Connections, the game is all about finding the "common threads between words." And just like Wordle, Connections resets after midnight and each new set of words gets trickier and trickier—so we've served up some hints and tips to get you over the hurdle.If you just want to be told today's puzzle, you can jump to the end of this article for the latest Connections solution. But if you'd rather solve it yourself, keep reading for some clues, tips, and strategies to assist you.What is Connections Sports Edition?The NYT's latest daily word game has launched in association with The Athletic, the New York Times property that provides the publication's sports coverage. Connections can be played on both web browsers and mobile devices and require players to group four words that share something in common.Each puzzle features 16 words and each grouping of words is split into four categories. These sets could comprise of anything from book titles, software, country names, etc. Even though multiple words will seem like they fit together, there's only one correct answer.If a player gets all four words in a set correct, those words are removed from the board. Guess wrong and it counts as a mistake—players get up to four mistakes until the game ends.Players can also rearrange and shuffle the board to make spotting connections easier. Additionally, each group is color-coded with yellow being the easiest, followed by green, blue, and purple. Like Wordle, you can share the results with your friends on social media. Mashable Top Stories Stay connected with the hottest stories of the day and the latest entertainment news. Sign up for Mashable's Top Stories newsletter By clicking Sign Me Up, you confirm you are 16+ and agree to our Terms of Use and Privacy Policy. Thanks for signing up! Here's a hint for today's Connections Sports Edition categoriesWant a hint about the categories without being told the categories? Then give these a try:Yellow: ScorelessGreen: Midwest college townsBlue: GolfPurple: Major names behind the plate Featured Video For You Connections: How to play and how to win Here are today's Connections Sports Edition categoriesNeed a little extra help? Today's connections fall into the following categories:Yellow: Slang for ZeroGreen: Big Ten CitiesBlue: Sites of This Year's Men's Golf MajorsPurple: MLB CatchersLooking for Wordle today? Here's the answer to today's Wordle.Ready for the answers? This is your last chance to turn back and solve today's puzzle before we reveal the solutions.Drumroll, please!The solution to today's Connections Sports Edition #266 is...What is the answer to Connections Sports Edition todaySlang for Zero - BAGEL, DONUT, GOOSE EGG, NILBig Ten Cities - COLLEGE PARK, COLUMBUS, EAST LANSING, MADISONSites of This Year's Men's Golf Majors - AUGUSTA, OAKMONT, QUAIL HOLLOW, ROYAL PORTRUSHMLB Catchers - PEREZ, RALEIGH, REALMUTO, RUTSCHMANDon't feel down if you didn't manage to guess it this time. There will be new Connections for you to stretch your brain with tomorrow, and we'll be back again to guide you with more helpful hints.Are you also playing NYT Strands? See hints and answers for today's Strands.If you're looking for more puzzles, Mashable's got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.Not the day you're after? Here's the solution to yesterday's Connections. Topics Connections

If you've handled cat litter or eaten raw meat or unwashed produce, there’s a chance you might have a permanent toxoplasmosis infection spread throughout your body.

News Science & Society A common parenting practice may be hindering teen development Teens need independence on vacation, but many don't get it Parents are reluctant to let teens go off alone during vacation, according to a new poll. But experts say teens need independence. Cavan Images/Getty Images By Sujata Gupta 2 hours ago Vacation season is upon us. But that doesn’t necessarily translate to teens roaming free. A new poll finds that less than half of U.S. parents feel comfortable leaving their teenager alone in a hotel room while they grab breakfast. Fewer than a third would let their teen walk alone to a coffee shop. And only 1 in 5 would be okay with their teen wandering solo around an amusement park. Those results, released June 16, are troubling, says Sarah Clark, a public health expert and codirector of the C.S. Mott Children’s Hospital National Poll on Children’s Health, which conducted the survey. Teenagers, she says, need the freedom to develop the confidence that they can navigate the world on their own. Sign up for our newsletter We summarize the week's scientific breakthroughs every Thursday.

A coiled giant anaconda. They are the largest snake species in Brazil and play a major role in legends including the ‘Boiuna’ and the ‘Cobra Grande.’ CREDIT: Beatriz Cosendey. Get the Popular Science daily newsletter💡 Breakthroughs, discoveries, and DIY tips sent every weekday. South America’s lush Amazon region is a biodiversity hotspot, which means that every living thing must find a way to co-exist. Even some of the most feared snakes on the planet–anacondas. In a paper published June 16 in the journal Frontiers in Amphibian and Reptile Science, conservation biologists Beatriz Cosendey and Juarez Carlos Brito Pezzuti from the Federal University of Pará’s Center for Amazonian Studies in Brazil, analyze the key points behind the interactions between humans and the local anaconda populations. Ahead of the paper’s publication, the team at Frontiers conducted this wide-ranging Q&A with Conesday. It has not been altered. Frontiers: What inspired you to become a researcher? Beatriz Cosendey: As a child, I was fascinated by reports and documentaries about field research and often wondered what it took to be there and what kind of knowledge was being produced. Later, as an ecologist, I felt the need for approaches that better connected scientific research with real-world contexts. I became especially interested in perspectives that viewed humans not as separate from nature, but as part of ecological systems. This led me to explore integrative methods that incorporate local and traditional knowledge, aiming to make research more relevant and accessible to the communities involved. F: Can you tell us about the research you’re currently working on? BC: My research focuses on ethnobiology, an interdisciplinary field intersecting ecology, conservation, and traditional knowledge. We investigate not only the biodiversity of an area but also the relationship local communities have with surrounding species, providing a better understanding of local dynamics and areas needing special attention for conservation. After all, no one knows a place better than those who have lived there for generations. This deep familiarity allows for early detection of changes or environmental shifts. Additionally, developing a collaborative project with residents generates greater engagement, as they recognize themselves as active contributors; and collective participation is essential for effective conservation. Local boating the Amazon River. CREDIT: Beatriz Cosendey. F: Could you tell us about one of the legends surrounding anacondas? BC: One of the greatest myths is about the Great Snake—a huge snake that is said to inhabit the Amazon River and sleep beneath the town. According to the dwellers, the Great Snake is an anaconda that has grown too large; its movements can shake the river’s waters, and its eyes look like fire in the darkness of night. People say anacondas can grow so big that they can swallow large animals—including humans or cattle—without difficulty. F: What could be the reasons why the traditional role of anacondas as a spiritual and mythological entity has changed? Do you think the fact that fewer anacondas have been seen in recent years contributes to their diminished importance as an mythological entity? BC: Not exactly. I believe the two are related, but not in a direct way. The mythology still exists, but among Aritapera dwellers, there’s a more practical, everyday concern—mainly the fear of losing their chickens. As a result, anacondas have come to be seen as stealthy thieves. These traits are mostly associated with smaller individuals (up to around 2–2.5 meters), while the larger ones—which may still carry the symbolic weight of the ‘Great Snake’—tend to retreat to more sheltered areas; because of the presence of houses, motorized boats, and general noise, they are now seen much less frequently. A giant anaconda is being measured. Credit: Pedro Calazans. F: Can you share some of the quotes you’ve collected in interviews that show the attitude of community members towards anacondas? How do chickens come into play? BC: When talking about anacondas, one thing always comes up: chickens. “Chicken is her [the anaconda’s] favorite dish. If one clucks, she comes,” said one dweller. This kind of remark helps explain why the conflict is often framed in economic terms. During the interviews and conversations with local dwellers, many emphasized the financial impact of losing their animals: “The biggest loss is that they keep taking chicks and chickens…” or “You raise the chicken—you can’t just let it be eaten for free, right?” For them, it’s a loss of investment, especially since corn, which is used as chicken feed, is expensive. As one person put it: “We spend time feeding and raising the birds, and then the snake comes and takes them.” One dweller shared that, in an attempt to prevent another loss, he killed the anaconda and removed the last chicken it had swallowed from its belly—”it was still fresh,” he said—and used it for his meal, cooking the chicken for lunch so it wouldn’t go to waste. One of the Amazonas communities where the researchers conducted their research. CREDIT: Beatriz Cosendey. Some interviewees reported that they had to rebuild their chicken coops and pigsties because too many anacondas were getting in. Participants would point out where the anaconda had entered and explained that they came in through gaps or cracks but couldn’t get out afterwards because they ‘tufavam’ — a local term referring to the snake’s body swelling after ingesting prey. We saw chicken coops made with mesh, with nylon, some that worked and some that didn’t. Guided by the locals’ insights, we concluded that the best solution to compensate for the gaps between the wooden slats is to line the coop with a fine nylon mesh (to block smaller animals), and on the outside, a layer of wire mesh, which protects the inner mesh and prevents the entry of larger animals. F: Are there any common misconceptions about this area of research? How would you address them? BC: Yes, very much. Although ethnobiology is an old science, it’s still underexplored and often misunderstood. In some fields, there are ongoing debates about the robustness and scientific validity of the field and related areas. This is largely because the findings don’t always rely only on hard statistical data. However, like any other scientific field, it follows standardized methodologies, and no result is accepted without proper grounding. What happens is that ethnobiology leans more toward the human sciences, placing human beings and traditional knowledge as key variables within its framework. To address these misconceptions, I believe it’s important to emphasize that ethnobiology produces solid and relevant knowledge—especially in the context of conservation and sustainable development. It offers insights that purely biological approaches might overlook and helps build bridges between science and society. The study focused on the várzea regions of the Lower Amazon River. CREDIT: Beatriz Cosendey. F: What are some of the areas of research you’d like to see tackled in the years ahead? BC: I’d like to see more conservation projects that include local communities as active participants rather than as passive observers. Incorporating their voices, perspectives, and needs not only makes initiatives more effective, but also more just. There is also great potential in recognizing and valuing traditional knowledge. Beyond its cultural significance, certain practices—such as the use of natural compounds—could become practical assets for other vulnerable regions. Once properly documented and understood, many of these approaches offer adaptable forms of environmental management and could help inform broader conservation strategies elsewhere. F: How has open science benefited the reach and impact of your research? BC: Open science is crucial for making research more accessible. By eliminating access barriers, it facilitates a broader exchange of knowledge—important especially for interdisciplinary research like mine which draws on multiple knowledge systems and gains value when shared widely. For scientific work, it ensures that knowledge reaches a wider audience, including practitioners and policymakers. This openness fosters dialogue across different sectors, making research more inclusive and encouraging greater collaboration among diverse groups. The Q&A can also be read here.

Perhaps the oldest, most pernicious form of human bias is that of men toward women. It often started at the moment of birth. In ancient Athens, at a public ceremony called the amphidromia, fathers would inspect a newborn and decide whether it would be part of the family, or be cast away. One often socially acceptable reason for abandoning the baby: It was a girl. Female infanticide has been distressingly common in many societies — and its practice is not just ancient history. In 1990, the Nobel Prize-winning economist Amartya Sen looked at birth ratios in Asia, North Africa, and China and calculated that more than 100 million women were essentially “missing” — meaning that, based on the normal ratio of boys to girls at birth and the longevity of both genders, there was a huge missing number of girls who should have been born, but weren’t. Sen’s estimate came before the truly widespread adoption of ultrasound tests that could determine the sex of a fetus in utero — which actually made the problem worse, leading to a wave of sex-selective abortions. These were especially common in countries like India and China; the latter’s one-child policy and old biases made families desperate for their one child to be a boy. The Economist has estimated that since 1980 alone, there have been approximately 50 million fewer girls born worldwide than would naturally be expected, which almost certainly means that roughly that nearly all of those girls were aborted for no other reason than their sex. The preference for boys was a bias that killed in mass numbers.But in one of the most important social shifts of our time, that bias is changing. In a great cover story earlier this month, The Economist reported that the number of annual excess male births has fallen from a peak of 1.7 million in 2000 to around 200,000, which puts it back within the biologically standard birth ratio of 105 boys for every 100 girls. Countries that once had highly skewed sex ratios — like South Korea, which saw almost 116 boys born for every 100 girls in 1990 — now have normal or near-normal ratios. Altogether, The Economist estimated that the decline in sex preference at birth in the past 25 years has saved the equivalent of 7 million girls. That’s comparable to the number of lives saved by anti-smoking efforts in the US. So how, exactly, have we overcome a prejudice that seemed so embedded in human society?Success in school and the workplaceFor one, we have relaxed discrimination against girls and women in other ways — in school and in the workplace. With fewer limits, girls are outperforming boys in the classroom. In the most recent international PISA tests, considered the gold standard for evaluating student performance around the world, 15-year-old girls beat their male counterparts in reading in 79 out of 81 participating countries or economies, while the historic male advantage in math scores has fallen to single digits. Girls are also dominating in higher education, with 113 female students at that level for every 100 male students. While women continue to earn less than men, the gender pay gap has been shrinking, and in a number of urban areas in the US, young women have actually been outearning young men. Government policies have helped accelerate that shift, in part because they have come to recognize the serious social problems that eventually result from decades of anti-girl discrimination. In countries like South Korea and China, which have long had some of the most skewed gender ratios at birth, governments have cracked down on technologies that enable sex-selective abortion. In India, where female infanticide and neglect have been particularly horrific, slogans like “Save the Daughter, Educate the Daughter” have helped change opinions. A changing preferenceThe shift is being seen not just in birth sex ratios, but in opinion polls — and in the actions of would-be parents.Between 1983 and 2003, The Economist reported, the proportion of South Korean women who said it was “necessary” to have a son fell from 48 percent to 6 percent, while nearly half of women now say they want daughters. In Japan, the shift has gone even further — as far back as 2002, 75 percent of couples who wanted only one child said they hoped for a daughter.In the US, which allows sex selection for couples doing in-vitro fertilization, there is growing evidence that would-be parents prefer girls, as do potential adoptive parents. While in the past, parents who had a girl first were more likely to keep trying to have children in an effort to have a boy, the opposite is now true — couples who have a girl first are less likely to keep trying. A more equal futureThere’s still more progress to be made. In northwest of India, for instance, birth ratios that overly skew toward boys are still the norm. In regions of sub-Saharan Africa, birth sex ratios may be relatively normal, but post-birth discrimination in the form of poorer nutrition and worse medical care still lingers. And course, women around the world are still subject to unacceptable levels of violence and discrimination from men.And some of the reasons for this shift may not be as high-minded as we’d like to think. Boys around the world are struggling in the modern era. They increasingly underperform in education, are more likely to be involved in violent crime, and in general, are failing to launch into adulthood. In the US, 20 percent of American men between 25 and 34 still live with their parents, compared to 15 percent of similarly aged women. It also seems to be the case that at least some of the increasing preference for girls is rooted in sexist stereotypes. Parents around the world may now prefer girls partly because they see them as more likely to take care of them in their old age — meaning a different kind of bias against women, that they are more natural caretakers, may be paradoxically driving the decline in prejudice against girls at birth.But make no mistake — the decline of boy preference is a clear mark of social progress, one measured in millions of girls’ lives saved. And maybe one Father’s Day, not too long from now, we’ll reach the point where daughters and sons are simply children: equally loved and equally welcomed.A version of this story originally appeared in the Good News newsletter. Sign up here!See More: