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Video instructions and help with filling out and completing Can the irs collect after 10 years

Instructions and Help about Can the irs collect after 10 years

Hi this is Michael O'Leary again from by the book taxes I am here today to talk about something that I believe is little-known by taxpayers and that is the 10-year collection statute the IRS has a statute of limitations on collecting delinquent taxes from taxpayers I don't think most taxpayers realize this but the time period is ten years from the date the tax is assessed that's it they can't come after you forever it's ten years from the assessment date so here's an example of how it works and what the assessment date is let's say you file a tax return on April 1st of 2022 your 2022 tax returns within a few days the IRS computers process the return and if there's a balance due they assessed the tax so for let's assume a returns filed April 1st they process it on April 5th they assess the tax on April 5th you add ten years to that April 5th of 2022 assessment date and the IRS has until April 4th of 2022 to collect tax after that the statute of limitations has expired and they are no longer able to enforce collection now there are four things which can cause the ten-year clock stop the turn they actually use is tall or even freeze those four things are filing for bankruptcy requesting a collection due process hearing setup and installed in a payment agreement or filing an offer in compromise once all these requests and processed and completed the clock will start again with the bankruptcy once the bankruptcy is discharged the clock starts again plus an additional six months is added to the statute very important to understand where you are in this ten year clock and what if anything in the past has happened such as these four items to extend the statute of limitations it's very important for a tax professional and the taxpayer to know when the statute of limitations expires next year that there are balances do that expiration date is called a/c said or collection statute expiration date in our prior example the C said was April 4th of 2022 you need to know this because depending on how far you are either close to or away from that ten-year expiration knowing that will help you craft tax resolution strategy for the client pardon me I have a bit of a cold so here's some strategic forts if the cset is near very close to here or so and the client is going through some difficult times either due to a loss of a job and divorce or significant medical bills then it might be a good strategy to request they currently not collectible status and see if you can just run out the clock on the collection statute if however for example the 10-year statute still has eight or nine years to run what the client is undergoing some financial difficulties maybe now's a good time to do an.


What isn't a crime but should be?
Indians, behold!The room was filled with an air of suspense and excitement.The woman lay there, with pain in every contraction, that overwhelmed every cell of her body. In the midst of unbearable pain, she could not hear herself scream.Everyone could feel the agony in her scream. It was as if every bone of her body conspired to strangulate her.She prayed to God to help her zoom into the next five minutes. She felt trapped in the confinement of pain.“Push, push!” the midwife shouted. The embattled mother did, as mightily as she could.With an unspeakable pain glittering in her eyes, she groaned as she gave the final push. Now, she was asked to stop.The little sunshine stretched and slid into the hands of the midwife. The mother beamed with relief and unfathomable delight.My little sunshine is here! An enviably beautiful girl has just been born!The father who has been anxious until now bursts into tears of relief and joy. He jumps in awkward patterns. He hugs people in random. He just becomes a boy.The little bundle of joy is just minutes into the new world and the tiny speck-like eyes roll around. Curiosity lingers in the fun-sized face.A million questions surface in her eyes. Her hands and legs wriggling in an unmethodical manner.The mother looks at the life she has brought into the world. She never thought a sunshine could be this beautiful. She never thought her little angel could be this delightful.Pause.She thinks of the cruel world that awaits outside. She dreads the clan of men who would crave her body.She shudders. She decides to safeguard her little bundle of joy. “I would not let anyone harm my darling,” she promises herself.Years go by. The little darling grows up. She is raised fearfully and wonderfully.Do not talk to men. You will not have male friends. Men are animals. Men rape. Do not trust men. You will not study in co-education schools. Watch the length of your skirt.The mother bleeds love. She expresses her love for her daughter in the ways she thinks are the best.The little girl grows up as mama’s girl. She leads a clean life. She stays away from men. The very presence of men makes her shy away from the place. She never looks into the eyes of men.She gets to be known as the girl of character.Teen years whirl by.Years later, the mother asks the daughter to marry someone she never knew.‘But momma, I do not even know him,” the curious daughter questions her mom.“You will do what I say. You will not fall in love with anyone. Remember what I have told about men? They are beasts,” the mother convinces the daughter.Maybe mom is right, the daughter believes.The wedding bells ring.Days later, the mother asks “When will you get pregnant?”The girl who has been raised all her life with warnings about men and been strictly kept away from men is required to sleep with a stranger, in blunt terms.Women are cast into nothingness by the very arm that scooped them with love!Forced-arranged marriages are a crime.
How do I know if I owe the IRS taxes?
How do you know if you owe the internal revenue service taxes?There are three main ways you could find out if you owe the irs back taxes, you can find out over the phone, through the mail, or even online. I find that the most reliable way to find out if you owe back taxes by using the phone.Try one of theseOver the phoneThrough The MailTry OnlineIf you wish to try to find out what you owe online there was an online tool to help you figure out how much you owe.Try it here: https://www.irs.gov/payments/vie...In my opinion it's always best if you could talk to a person on the phone versus using an online tool or even through email, but many people often don't have such a good luck trying to contact an actual person to talk to that can help the situation.If you want to call the irs to find out how much you owe them here is the number.Personal filers:1 800 829-1040Businesses:1 800 829-4933As with anything else please make sure you have all your information in order before you call because the last thing you want to do is wait on the phone for a while only to have the call dropped or have to call back later.Make sure you actually owe?As with anything else the internal revenue service can make mistakes themselves so it's good to make sure that you actually owe them money before you start a process of paying the anything. If you're not sure you can get an accountant to help you or you can try to go through all your paperwork and past-due taxes to make sure that all your bookkeeping is in order that you're not short-changing yourself.My office is located in macon georgia and you would be amazed by how many people coming to the office not sure what they are or if they owe anything.If you suspect that you owe anything it's good to jump on the situation as soon as possible to try to avoid costly penalties or fines.What tax season comes a lot of scammers so you have to make sure that you actually owe the irs and that you're not giving your bank account information to a shady character. During tax time many people get letters and phone calls by individuals pretending to be the irs but they are actually scammers trying to steal bank information.CLS Accounting LLC4380 Mercer University DriveMacon, GA. 31206United States
How can I proceed to the Supreme Court after 9 years for filling out a petition?
I consider the 9 years as a judgement or order by the lower court.According to the Supreme Court Rules, 1966A petition need to be filed within 30 days from the date of the order or judgement.So,No. You can't file a petition after 9 years.
How can I become a data scientist?
Here are some amazing and completely free resources online that you can use to teach yourself data science.Besides this page, I would highly recommend the Official Quora Data Science FAQ as your comprehensive guide to data science! It includes resources similar to this one, as well as advice on preparing for data science interviews. Additionally, follow the Quora Data Science topic if you haven't already to get updates on new questions and answers!Step 1. Fulfill your prerequisitesBefore you begin, you need Multivariable Calculus, Linear Algebra, and Python. If your math background is up to multivariable calculus and linear algebra, you'll have enough background to understand almost all of the probability / statistics / machine learning for the job.Multivariate Calculus: What are the best resources for mastering multivariable calculus?Numerical Linear Algebra / Computational Linear Algebra / Matrix Algebra: Linear Algebra, Introduction to Linear Models and Matrix Algebra. Avoid linear algebra classes that are too theoretical, you need a linear algebra class that works with real matrices.Multivariate calculus is useful for some parts of machine learning and a lot of probability. Linear / Matrix algebra is absolutely necessary for a lot of concepts in machine learning.You also need some programming background to begin, preferably in Python. Most other things on this guide can be learned on the job (like random forests, pandas, A/B testing), but you can't get away without knowing how to program!Python is the most important language for a data scientist to learn. To learn to code, more about Python, and why Python is so important, check outHow do I learn to code?How do I learn Python?Why is Python a language of choice for data scientists?Is Python the most important programming language to learn for aspiring data scientists and data miners?R is the second most important language for a data scientist to learn. I’m saying this as someone with a statistics background and who went through undergrad mainly only using R. While R is powerful for dedicated statistical tasks, Python is more versatile as it will connect you more to production-level work.If you're currently in school, take statistics and computer science classes. Check out What classes should I take if I want to become a data scientist?Step 2. Plug Yourself Into the CommunityCheck out Meetup to find some that interest you! Attend an interesting talk, learn about data science live, and meet data scientists and other aspirational data scientists. Start reading data science blogs and following influential data scientists:What are the best, insightful blogs about data, including how businesses are using data?What is your source of machine learning and data science news? Why?What are some best data science accounts to follow on Twitter, Facebook, G+, and LinkedIn?What are the best Twitter accounts about data?Step 3. Setup and Learn to use your toolsPythonInstall Python, iPython, and related libraries (guide)How do I learn Python?RInstall R and RStudio (It's good to know both Python and R)Learn R with swirlSublime TextInstall Sublime TextWhat's the best way to learn to use Sublime Text?SQLHow do I learn SQL? What are some good online resources, like websites, blogs, or videos? (You can practice it using the sqlite package in Python)Step 4. Learn Probability and StatisticsBe sure to go through a course that involves heavy application in R or Python. Knowing probability and statistics will only really be helpful if you can implement what you learn.Python Application: Think Stats (free pdf) (Python focus)R Applications: An Introduction to Statistical Learning (free pdf)(MOOC) (R focus)Print out a copy of Probability CheatsheetStep 5. Complete Harvard's Data Science CourseAs of Fall 2022. the course is currently in its third year and strives to be as applicable and helpful as possible for students who are interested in becoming data scientists. An example of how is this happening is the introduction of Spark and SQL starting this year.I'd recommend doing the labs and lectures from 2022 and the homeworks from 2022 (2022 homeworks are not available to the public, and the 2022 homeworks are written under a different instructor than the original instructors).This course is developed in part by a fellow Quora user, Professor Joe Blitzstein. Here are all of the materials!Intro to the classWhat is it like to design a data science class? In particular, what was it like to design Harvard's new data science class, taught by professors Joe Blitzstein and Hanspeter Pfister?What is it like to take CS 109/Statistics 121 (Data Science) at Harvard?Course MaterialsClass main page: CS109 Data ScienceLectures, Slides, and Labs: Class MaterialAssignmentsIntro to Python, Numpy, Matplotlib (Homework 0) (Solutions)Poll Aggregation, Web Scraping, Plotting, Model Evaluation, and Forecasting (Homework 1) (Solutions)Data Prediction, Manipulation, and Evaluation (Homework 2) (Solutions)Predictive Modeling, Model Calibration, Sentiment Analysis (Homework 3) (Solutions)Recommendation Engines, Using Mapreduce (Homework 4) (Solutions)Network Visualization and Analysis (Homework 5) (Solutions)Labs(these are the 2022 labs. For the 2022 labs, check out Class Material)Lab 2: Web ScrapingLab 3: EDA, Pandas, MatplotlibLab 4: Scikit-Learn, Regression, PCALab 5: Bias, Variance, Cross-ValidationLab 6: Bayes, Linear Regression, and Metropolis SamplingLab 7: Gibbs SamplingLab 8: MapReduceLab 9: NetworksLab 10: Support Vector MachinesStep 6. Do all of Kaggle's Getting Started and Playground CompetitionsI would NOT recommend doing any of the prize-money competitions. They usually have datasets that are too large, complicated, or annoying, and are not good for learning. The competitions are available at Competitions | KaggleStart by learning scikit-learn, playing around, reading through tutorials and forums on the competitions that you’re doing. Next, play around some more and check out the tutorials for Titanic: Machine Learning from Disaster for a binary classification task (with categorical variables, missing values, etc.)Afterwards, try some multi-class classification with Forest Cover Type Prediction. Now, try a regression task House Prices: Advanced Regression Techniques. Try out some natural language processing with Quora Question Pairs | Kaggle. Finally, try out any of the other knowledge-based competitions that interest you!Step 7. Learn Some Data Science ElectivesData science is an incredibly large and interdisciplinary field, and different jobs will require different skillsets. Here are some of the more common ones:Product Metrics will teach you about what companies track, what metrics they find important, and how companies measure their success: The 27 Metrics in Pinterest’s Internal Growth DashboardMachine Learning How do I learn machine learning? This is an extremely rich area with massive amounts of potential, and likely the “sexiest” area of data science today. Andrew Ng's Machine Learning course on Coursera is one of the most popular MOOCs, and a great way to start! Andrew Ng's Machine Learning MOOCA/B Testing is incredibly important to help inform product decisions for consumer applications. Learn more about A/B testing here: How do I learn about A/B testing?Visualization - I would recommend picking up ggplot2 in R to make simple yet beautiful graphics and just browsing DataIsBeautiful • /r/dataisbeautiful and FlowingData for ideas and inspiration.User Behavior - This set of blogs posts looks useful and interesting - This Explains Everything " User BehaviorFeature Engineering - Check out What are some best practices in Feature Engineering? and this great example: http://nbviewer.ipython.org/gith...Big Data Technologies - These are tools and frameworks developed specifically to deal with massive amounts of data. How do I learn big data technologies?Optimization will help you with understanding statistics and machine learning: Convex Optimization - Boyd and VandenbergheNatural Language Processing - This is the practice of turning text data into numerical data whilst still preserving the "meaning". Learning this will let you analyze new, exciting forms of data. How do I learn Natural Language Processing (NLP)?Time Series Analysis - How do I learn about time series analysis?Step 8. Do a Capstone Product / Side ProjectUse your new data science and software engineering skills to build something that will make other people say wow! This can be a website, new way of looking at a dataset, cool visualization, or anything!What are some good toy problems (can be done over a weekend by a single coder) in data science? I'm studying machine learning and statistics, and looking for something socially relevant using publicly available datasets/APIs.How can I start building a recommendation engine? Where can I find an interesting data set? What tools/technologies/algorithms are best to build the engine with? How do I check the effectiveness of recommendations?What are some ideas for a quick weekend Python project? I am looking to gain some experience.What is a good measure of the influence of a Twitter user?Where can I find large datasets open to the public?What are some good algorithms for a prioritized inbox?What are some good data science projects?Create public github repositories, make a blog, and post your work, side projects, Kaggle solutions, insights, and thoughts! This helps you gain visibility, build a portfolio for your resume, and connect with other people working on the same tasks.Step 9. Get a Data Science Internship or JobHow do I prepare for a data scientist interview?How should I prepare for statistics questions for a data science interviewWhat kind of A/B testing questions should I expect in a data scientist interview and how should I prepare for such questions?What companies have data science internships for undergraduates?What are some tips to choose whether I want to apply for a Data Science or Software Engineering internship?When is the best time to apply for data science summer internships?Check out The Official Quora Data Science FAQ for more discussion on internships, jobs, and data science interview processes! The data science FAQ also links to more specific versions of this question, like How do I become a data scientist without a PhD? or the counterpart, How do I become a data scientist as a PhD student?Step 10. Share your Wisdom Back with the Data Science CommunityIf you’ve made it this far, congratulations on becoming a data scientist! I’d encourage you to share your knowledge and what you’ve learned back with the data science community. Data Science as a nascent field depends on knowledge-sharing!Think like a Data ScientistIn addition to the concrete steps I listed above to develop the skill set of a data scientist, I include seven challenges below so you can learn to think like a data scientist and develop the right attitude to become one.(1) Satiate your curiosity through dataAs a data scientist you write your own questions and answers. Data scientists are naturally curious about the data that they're looking at, and are creative with ways to approach and solve whatever problem needs to be solved.Much of data science is not the analysis itself, but discovering an interesting question and figuring out how to answer it.Here are two great examples:Hilary: the most poisoned baby name in US historyA Look at Fire Response DataChallenge: Think of a problem or topic you're interested in and answer it with data!(2) Read news with a skeptical eyeMuch of the contribution of a data scientist (and why it's really hard to replace a data scientist with a machine), is that a data scientist will tell you what's important and what's spurious. This persistent skepticism is healthy in all sciences, and is especially necessarily in a fast-paced environment where it's too easy to let a spurious result be misinterpreted.You can adopt this mindset yourself by reading news with a critical eye. Many news articles have inherently flawed main premises. Try these two articles. Sample answers are available in the comments.Easier: You Love Your iPhone. Literally.Harder: Who predicted Russia’s military intervention?Challenge: Do this every day when you encounter a news article. Comment on the article and point out the flaws.(3) See data as a tool to improve consumer productsVisit a consumer internet product (probably that you know doesn't do extensive A/B testing already), and then think about their main funnel. Do they have a checkout funnel? Do they have a signup funnel? Do they have a virility mechanism? Do they have an engagement funnel?Go through the funnel multiple times and hypothesize about different ways it could do better to increase a core metric (conversion rate, shares, signups, etc.). Design an experiment to verify if your suggested change can actually change the core metric.Challenge: Share it with the feedback email for the consumer internet site!(4) Think like a BayesianTo think like a Bayesian, avoid the Base rate fallacy. This means to form new beliefs you must incorporate both newly observed information AND prior information formed through intuition and experience.Checking your dashboard, user engagement numbers are significantly down today. Which of the following is most likely?1. Users are suddenly less engaged2. Feature of site broke3. Logging feature brokeEven though explanation #1 completely explains the drop, #2 and #3 should be more likely because they have a much higher prior probability.You're in senior management at Tesla, and five of Tesla's Model S's have caught fire in the last five months. Which is more likely?1. Manufacturing quality has decreased and Teslas should now be deemed unsafe.2. Safety has not changed and fires in Tesla Model S's are still much rarer than their counterparts in gasoline cars.While #1 is an easy explanation (and great for media coverage), your prior should be strong on #2 because of your regular quality testing. However, you should still be seeking information that can update your beliefs on #1 versus #2 (and still find ways to improve safety). Question for thought: what information should you seek?Challenge: Identify the last time you committed the Base Rate Fallacy. Avoid committing the fallacy from now on.(5) Know the limitations of your tools“Knowledge is knowing that a tomato is a fruit, wisdom is not putting it in a fruit salad.” - Miles KingtonKnowledge is knowing how to perform a ordinary linear regression, wisdom is realizing how rare it applies cleanly in practice.Knowledge is knowing five different variations of K-means clustering, wisdom is realizing how rarely actual data can be cleanly clustered, and how poorly K-means clustering can work with too many features.Knowledge is knowing a vast range of sophisticated techniques, but wisdom is being able to choose the one that will prthe most amount of impact for the company in a reasonable amount of time.You may develop a vast range of tools while you go through your Coursera or EdX courses, but your toolbox is not useful until you know which tools to use.Challenge: Apply several tools to a real dataset and discover the tradeoffs and limitations of each tools. Which tools worked best, and can you figure out why?(6) Teach a complicated conceptHow does Richard Feynman distinguish which concepts he understands and which concepts he doesn't?Feynman was a truly great teacher. He prided himself on being able to devise ways to explain even the most profound ideas to beginning students. Once, I said to him, "Dick, explain to me, so that I can understand it, why spin one-half particles obey Fermi-Dirac statistics." Sizing up his audience perfectly, Feynman said, "I'll prepare a freshman lecture on it." But he came back a few days later to say, "I couldn't do it. I couldn't reduce it to the freshman level. That means we don't really understand it." - David L. Goodstein, Feynman's Lost Lecture: The Motion of Planets Around the SunWhat distinguished Richard Feynman was his ability to distill complex concepts into comprehendible ideas. Similarly, what distinguishes top data scientists is their ability to cogently share their ideas and explain their analyses.Check out https://www.quora.com/Edwin-Chen... for examples of cogently-explained technical concepts.Challenge: Teach a technical concept to a friend or on a public forum, like Quora or YouTube.(7) Convince others about what's importantPerhaps even more important than a data scientist's ability to explain their analysis is their ability to communicate the value and potential impact of the actionable insights.Certain tasks of data science will be commoditized as data science tools become better and better. New tools will make obsolete certain tasks such as writing dashboards, unnecessary data wrangling, and even specific kinds of predictive modeling.However, the need for a data scientist to extract out and communicate what's important will never be made obsolete. With increasing amounts of data and potential insights, companies will always need data scientists (or people in data science-like roles), to triage all that can be done and prioritize tasks based on impact.The data scientist's role in the company is the serve as the ambassador between the data and the company. The success of a data scientist is measured by how well he/she can tell a story and make an impact. Every other skill is amplified by this ability.Challenge: Tell a story with statistics. Communicate the important findings in a dataset. Make a convincing presentation that your audience cares about.Good luck and best wishes on your journey to becoming a data scientist! For more resources check out Quora’s official Quora Data Science FAQ
What is the IRS form W-10 and how is it correctly filled out?
While you may have never heard of IRS Form W-10, you will if you’re currently paying or planning to pay someone to care for a child, dependent, or spouse? If you are, then you may qualify to claim what’s called the Child and Dependent Care credit on your federal income tax return. To claim this credit, your care provider must fill out a W-10. You may also need to fill out the form if you receive benefits from an employer sponsored dependent care plan.It’s certainly worth it to see if you qualify (and for this we recommend that you consult with a tax professional). The child and dependent care credit can be up to 35 percent of qualifying expenses, depending on adjusted gross income. For 2022. filers may use up to $3,000 of expenses paid in a year for one qualifying individual or $6,000 for two or more qualifying individuals. (When it comes time to figure your qualifying expenses, remember that they must be reduced by the amount of any dependent care benefits provided by your employer, if those benefits were deducted or excluded from your income.)Do You Qualify for the Credit?To see if you need to have your care provider fill out a W-10, first determine if you qualify for the credit for child and dependent care expenses. To qualify, the care must have been provided for one or more qualifying persons, generally a dependent child age 12 or younger when the care was provided. Certain other individuals, spouses and those who are incapable of self-care, may also be considered qualifying persons. (Note: each qualifying individual must be listed on your tax return.)Remember also that the amount you can claim as a credit is reduced as your income rises. According to the Tax Policy Center, “Families with income below $15,000 qualify for the 35 percent credit. That rate falls by 1 percentage point for each additional $2,000 of income (or part thereof) until it reaches 20 percent for families with income of $43,000 or more.”Next, consider why the care was provided. To qualify, the person (or couple, if married and filing jointly) claiming the credit must have sought care so they could work or search for employment. Further, the individual or couple filing must be considered earned income earners. Wages, salaries, tips, other taxable employee compensation, and net earnings from self-employment all qualify individuals as having earned income. For married filers, one spouse may be considered as having earned income if they were a full-time student, or if they were unable to care for themselves.Who did you pay for care? Qualifying funds spent for care cannot be paid to a filer’s spouse, a dependent of the filer, or to the filer’s child, unless that child will reach age 19 or older by the end of the year. (The rule for payments to the filer’s child does not change, even if the child is not the filer’s dependent.) Filers must identify care providers on their tax return.There are just a few more qualifying details. To qualify, filing status must be single, married filing jointly, head of household or qualifying widow(er) with a dependent child. The qualifying person must have lived with the person filing for over one half of the year. There are exceptions, for the birth or death of a qualifying person, and for children of divorced or separated parents.IRS Form W-10So, if you meet those criteria, then its time to make sure your care provider fills out a W-10. The form is simple to fill out, requiring only the provider’s name, address, signature and taxpayer identification number (usually their social security number). The form is only for your records, details about the provider will come when you fill out form 2441 for Child and Dependent Care Expenses.Source: The Child and Dependent Care Credit and IRS W-10 Form
How can I move on after the love of my life passed away 10 years ago? No one comes close to the chemistry we shared and no one can fill his shoes.
I can relate completely to your question. I too lost my husband suddenly 12 years ago. It was a shocking and very difficult time in my life. I don’t know if you have children or not. I had two small children when my husband died so they took up,the focus in my life after he died even though it was extremely difficult to parent during such a traumatic time.What I will say to you is that you obviously shared a deep,and profound love between you both. You will have to allow yourself to move on and your loved one would also want you to start to live your life again and to find happiness. You are a person of value and you are unique. Remember that you were very much loved by this man and can be loved again by another person who will also see,the qualities that you possess but in a different way.Try not to compare your loved one to other people because then you will never be able to give someone new a chance as no two people are the same. Each person we meet in life has value and can teach us valuable talents and lessons. Be patient with yourself and let go of any preconceptions you may have.We all grieve differently. It was nine years after my husband died that I felt comfortable enough to allow someone to love me and value me and make me laugh and smile again. Life is precious,and is very short. Your beloved was meant to leave at the time he did but you are still here for a reason and you deserve to be happy.
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