3 ways to spot wrong statistics
•Download as PPTX, PDF•
0 likes•35 views
This document provides 3 questions to consider when evaluating statistics: 1. Can you see uncertainties in the data? 2. Can you see yourself or your experiences represented in the data? 3. How was the data collected? It is important to understand the process used to gather the data as much as the data itself. Proper data collection methods help ensure statistics are trustworthy.
Report
Share
Report
Share
Recommended
3 ways to spot a bad statistic
The document provides 3 ways to spot bad statistics. The first is to verify if uncertainty is represented in data visualizations which often overstate certainty. The second is to determine if you can see yourself represented in the data. The third is that we need government statistics but must learn to critically evaluate them rather than blindly accepting or rejecting them, as we live in a world of alternative facts where statistics are no longer common ground for debate.
3 ways to spot a bad statistic
This presentation is based on the ted conference of mona chalabi titled "3 ways to spot a bad statistic "
3 ways to spot a bad statistic
This document discusses 3 ways to spot a bad statistic: 1) Look for uncertainty in the data by checking if a margin of error is provided. 2) Consider if the data is representative by ensuring it includes people from different groups. 3) Evaluate how the data was collected to ensure the method is sound and won't skew or misrepresent the results. The key message is that bad or misleading statistics can negatively impact decision making and business outcomes, so it is important to validate data quality and methodology.
"3 ways to spot a bad statistic" by Mona Chalabi
This document discusses how to identify unreliable statistics. It notes that about 40% of Americans distrust economic data from the government. Some argue statistics are important to objectively measure progress, while others say they don't reflect people's lives. The document advises asking three questions to evaluate statistics: 1) Can you see uncertainty? 2) Can I see myself in the data? 3) How was the data collected? It provides an example where defining terms like "jihad" changed responses to a poll about Muslim support for violence. The conclusion is not to abandon statistics but to thoughtfully evaluate them.
Analysis of ted talk, "3 ways to spot a bad statistics" by Mona Chabali
This presentation does analysis of the ted talk, "3 ways to spot a bad statistics" by Mona Chabali.
It goes through key insights mentioned by her during her talk.
Mona chalabi
Government statistics aim to better serve the nation by measuring the population, though some distrust the data. To spot a bad statistic, ask if the data shows uncertainty, if you can see yourself represented, and how it was collected. Throwing away data collection is a bad idea as it prevents identifying and fixing problems.
International Bank Ratings An Unbiased Review Of The Best Bank
Exit strategy is very important; recently a producer from MSNBC contacted me about the disappearance...
Good data vs bad data: 3 ways to spot a bad statistics
A thin line between good statistics and a bad statistics. This presentation gives three questions that you should ask to your data.
Recommended
3 ways to spot a bad statistic
The document provides 3 ways to spot bad statistics. The first is to verify if uncertainty is represented in data visualizations which often overstate certainty. The second is to determine if you can see yourself represented in the data. The third is that we need government statistics but must learn to critically evaluate them rather than blindly accepting or rejecting them, as we live in a world of alternative facts where statistics are no longer common ground for debate.
3 ways to spot a bad statistic
This presentation is based on the ted conference of mona chalabi titled "3 ways to spot a bad statistic "
3 ways to spot a bad statistic
This document discusses 3 ways to spot a bad statistic: 1) Look for uncertainty in the data by checking if a margin of error is provided. 2) Consider if the data is representative by ensuring it includes people from different groups. 3) Evaluate how the data was collected to ensure the method is sound and won't skew or misrepresent the results. The key message is that bad or misleading statistics can negatively impact decision making and business outcomes, so it is important to validate data quality and methodology.
"3 ways to spot a bad statistic" by Mona Chalabi
This document discusses how to identify unreliable statistics. It notes that about 40% of Americans distrust economic data from the government. Some argue statistics are important to objectively measure progress, while others say they don't reflect people's lives. The document advises asking three questions to evaluate statistics: 1) Can you see uncertainty? 2) Can I see myself in the data? 3) How was the data collected? It provides an example where defining terms like "jihad" changed responses to a poll about Muslim support for violence. The conclusion is not to abandon statistics but to thoughtfully evaluate them.
Analysis of ted talk, "3 ways to spot a bad statistics" by Mona Chabali
This presentation does analysis of the ted talk, "3 ways to spot a bad statistics" by Mona Chabali.
It goes through key insights mentioned by her during her talk.
Mona chalabi
Government statistics aim to better serve the nation by measuring the population, though some distrust the data. To spot a bad statistic, ask if the data shows uncertainty, if you can see yourself represented, and how it was collected. Throwing away data collection is a bad idea as it prevents identifying and fixing problems.
International Bank Ratings An Unbiased Review Of The Best Bank
Exit strategy is very important; recently a producer from MSNBC contacted me about the disappearance...
Good data vs bad data: 3 ways to spot a bad statistics
A thin line between good statistics and a bad statistics. This presentation gives three questions that you should ask to your data.
3 ways to spot a bad statistic.
Mona Chalabi gives three tips for spotting bad statistics:
1) Check for uncertainty - visualizations often overstate certainty to seem objective.
2) See if you can see yourself in the data - national averages may not reflect personal experiences.
3) Consider how the data was collected - finding the source and process helps evaluate reliability.
Managers should be aware of misleading statistics to make accurate decisions, as decisions based on bad data can harm company performance long-term. While statistics can cause skepticism, understanding collection methods allows reliable numbers to still guide policy decisions.
Three ways to spot a bad statisic
This document discusses ways to evaluate the reliability of statistics. It notes that many people are skeptical of statistics from both private companies and the government. It then provides three questions people can ask to identify unreliable statistics: 1) Can you see uncertainty? Statistics should acknowledge possible errors using things like ranges rather than precise decimals. 2) Can I see myself in the data? Statistics should consider variations among subgroups. 3) How was the data collected? The methodology is important to understand limitations like a poll's sample size and method. Understanding how to critically examine statistics can help people have a more informed relationship with data.
3 ways to spot a bad statistic
This document discusses how to identify bad statistics. It provides three questions to ask:
1. Question the uncertainty - statistics often overstate certainty, so remember imprecisions.
2. Can I see myself in the data? - Get context by seeing how data changes over time and if it's relevant.
3. How was the data collected? - Find out the methodology to ensure the chart shows everything needed.
While statistics are important, they must be scrutinized carefully to avoid being misled. Asking these questions helps assess statistics properly.
ways to spot bad stats
This document summarizes a TED talk about spotting bad statistics. It outlines three questions to ask: 1) Can you see uncertainty in the data? Visualizations often overstate certainty. 2) Can I see myself in the data? National statistics may not match personal experiences. 3) How was the data collected? The method of data collection impacts the results. Government data is generally more reliable than private companies' data. Managers should maintain teams that consider data uncertainty and ensure surveys target all affected people.
How to spot bad statistics
This document discusses how to spot bad statistics. It notes that bad statistics are numbers that are meaningless and irrelevant to society. There are two types of people when it comes to statistics - those who believe statistics are crucial, and those who feel they do not reflect daily life. The document provides three ways to spot bad statistics: check if there is uncertainty in the data set, see if you can relate to the data set in your daily life, and consider how the data was collected and if the data set was large enough. Government policies are also criticized for trying to solve problems without accurate statistical data on issues like racial segregation and the impacts of war.
Who is to Blame
The document discusses the challenges independent voters face in deciding who to blame for various economic and social issues. It notes that independent voters will decide the next election outcomes. While the left and right each blame the other side, the reality is more complex. The document examines data on economic success globally and finds that some of the conservative Heritage Foundation's assumptions, like the idea that higher government spending or taxes weaken economies, are flawed. Government spending as a percent of GDP actually correlates positively with higher per capita GDP. Other factors beyond those in the Heritage Foundation's index also influence economic success and weakness among nations.
3 ways to spot a bad statistic
This document discusses how to spot bad statistics. It provides three questions to ask: 1) Can you see uncertainty in the data? Many visualizations overstate certainty. 2) Can I see myself in the data? Data needs context about how it relates to people's lives. 3) How was the data collected? It's important to understand how surveys and studies were conducted. Bad statistics can mislead decision making, so it's crucial to evaluate data collection methods and understand limitations to get full context. Statistics are still important for policymaking, but they must be questioned and interpreted carefully.
Analysis of 3 ways to spot a bad statistic by mona chalabi
This document summarizes Mona Chalabi's analysis of how to spot bad statistics. It outlines 3 key questions to ask: 1) Can we see uncertainty in the numbers? Visualizing data can overstate certainty. 2) Can we see ourselves in the data? Context is important to understand where data points fit. 3) How was the data collected? It's important to understand the methodology to properly interpret results. Bad statistics can mislead; we shouldn't dismiss numbers but should learn to scrutinize how they were produced and what uncertainties exist. Proper statistical analysis is important for effective policymaking and decision making.
Identity theft fraud laws how the legal system can protect you
In the no so distant past, individuals didn't stress much when they lost a charge card or discarded a bill. They knew they could contact their loan bosses and rectify it before long. In any case, today, you might be a casualty of Identity theft fraud and not know it. This pernicious wrongdoing is likewise difficult to indict on the grounds that it's hard to distinguish and find the culprit.
Consider the current national debate about the revelation that top g.pdf
Consider the current national debate about the revelation that top government officials of the
Internal Revenue Service (IRS), divulged personal tax information and company or
organizational information to other unprivileged parties against the permission of the tax filers.
Then consider the present Media expose that the Federal government is accumulating the records
of millions of personal phone numbers, e-mails, and other electronic information of Americans
by the National Security Agency (NSA) secretly.
Now evaluate the reality that all of the above activities have been conducted by the highest
leadership in the United States, which includes the President, Congress, and the Judiciary in
cooperation and complicity
explain these two topics of importance of trust 1) consider all points of view. see situations from
the other person\'s perspectives. show that although you may not agree with, you do respect the
views of others. 2) keep promisies. never say you will do one thing then do another. If you can\'t
do whatbyou have promised, explain why; dont try to hide the fact you could not keep your
word. You may mention the politics involved as objectively as you can, but remain contextually
on the topic of Leadership Qualities.
Explain how each of the TWO phrases reveals the importance of TRUST in Leadership, while
using your own words in the light of the above activities by the highest levels of Leadership in
the United States.
Solution
The internal revenue service coordinated attack on conservative group with the host of
government and political parties is revealed by the Fomer IRS officer Ms. Lerner created a hot
discussions in the United States of America about the freedom personal data and execution of
personal data by wrong persons and thus creating institutional inertia.
There are two differeing view about the usage of the data, one team of school of thought saying
that, it\'s mismanagement of tax information and government is doing insitituitional inertia,
While the latter school of thought believing that the government is given the information of non
tax payers who got excempted by stating lies on the records to it\'s National Secuirity
agency.The first group replied to this argument, The government is having the right to take
action against the non tax payer but it should be through the proper way and giving personal
informastion like e mail, telephone and others to third party other than the specified reason is the
vialation data protection act.
Leaking personal information from high authorities is raising the question of insecuirity and
distrust, which may unltimately cause to lose the trust in their leaders..
State of the YAYA 2020 (spreads) | Volume 1: Depth
The document is the introduction to a report called "State of the YAYA" produced by MOJO Ad, a student-run advertising agency. It discusses the Youth and Young Adult (YAYA) market, which MOJO Ad specializes in understanding. The report analyzes data from a national survey of over 700 people ages 18-24 to provide insights into who YAYA individuals are, their attitudes, behaviors, and concerns. Some of the key topics covered in the report include news consumption, political views, and sources of anxiety for the YAYA demographic.
Analysis of "3 ways to spot a bad statistic" by Mona Chalabi
Mona Chalabi discusses three questions to evaluate the reliability of statistics: 1) Does the data show uncertainty? 2) Can you see your demographic group represented? 3) How was the data collected? She argues that asking these questions can help identify "bad statistics" that lack context, omit parts of the population, or were gathered through flawed methods, leading to poor decision making. Understanding how to scrutinize statistics is important because governments and businesses often rely on numbers to set policies and strategies.
Magellan Strategies Colorado Voter Segmentation Overview 052114
This presentation explains a predictive data modeling project that segmented Colorado's 3.5 million voters into 11 groups. The segmentation enables campaign decision makers the ability to understand and target voters beyond data that is is available on a Colorado voter file.
Jep
The speaker discusses corruption in Jamaica and calls on citizens to take responsibility in addressing it. Some key points:
- Corruption is perceived as a serious problem in Jamaica according to surveys, though the scale may not be as large as in some other countries.
- Lack of trust in government and between citizens is undermining the economy, as it increases transaction costs and discourages business activity.
- While leadership failures have contributed to corruption, citizens must also change their own behaviors and demand accountability.
- National pride remains strong in Jamaica despite issues, and citizens want the country to succeed if problems are addressed. Everyone must play a role through open debate and collective solutions.
Americans renouncing U.S. citizenship
Lesperance & Associates is a well known law firm known for helping people understand their legitimate claim to the citizenship of certain countries. David Lesperance, the founder, is an expert at dealing with immigration and taxation issues and has years of experience in the field.
Ideas and Tools to Decode the 2020 Census - ONA19
Well-understood as both a constitutional imperative undergirding representative democracy and the rare political flashpoint that rises above the news of the day, the decennial census is also a veritable fount of story ideas and engagement opportunities that will continue long after the forms are counted.
The Unemployment Surprise
The document summarizes and investigates claims that the Bureau of Labor Statistics manipulated unemployment data for political reasons. It discusses how the BLS collects employment data through comprehensive surveys and calculates unemployment statistics through a transparent process. The document argues that conspiring to manipulate the data would require cooperation across many professional staff over years and that the surveys show consistent results over time. It concludes that the drop in the unemployment rate was consistent with the details of the jobs reports and slowing economic growth.
5 big lies about taxes
This document summarizes and rebuts five common "lies" or misconceptions about taxes in the United States. The first is that tax dollars are wasted by government. However, taxes fund important and popular services like Social Security, infrastructure, and national defense. Second, it is a myth that cutting taxes increases revenue; in reality, tax cuts typically decrease revenue. Third, not half of Americans avoid taxes altogether as some claim, since most pay other taxes besides income tax. Fourth, US citizens are not overtaxed compared to history or other developed nations. Fifth, the perception that taxes are too high may stem from effective anti-tax rhetoric and public ignorance about tax rates and spending.
Misuse of statistics
This document discusses misuses and limitations of statistics. It provides examples of how statistics can be misleading when organizations selectively publish studies, questions are worded to influence responses, or samples are not representative of the overall population. Limitations of statistics include that they deal with aggregates rather than individuals, quantitative rather than qualitative data, and laws that are true on average rather than exactly. Statistics also cannot prove causation and are limited by the quality of data collection and analysis.
Restoring Trust
The document discusses the lack of trust in leadership in both government and corporations in America. It argues that this lack of trust is due to leaders not being honest, not delivering results, and not living up to their principles. Specifically, corporate leaders promote employees but easily lay them off and government bailed out banks but not citizens. The document says that to restore trust, leaders must clearly articulate their vision, lead by example through honesty and integrity, and deliver tangible results. Effective leadership built on trust is needed to drive unity and help America overcome its challenges.
Big Data Hype (And Reality)
The document discusses the limitations of using big data to predict human behavior. While big data offers unprecedented insights into consumer actions and attitudes, predicting human behavior remains challenging due to its inconsistency, impulsiveness, and dynamic nature. Marginal gains may be possible through big data analysis, but major breakthroughs are unlikely as long as human behavior remains hard to anticipate. Managers need to thoughtfully apply big data insights and not rely on them exclusively for decision-making, given the inherent randomness in human choices and actions.
The Big Data Revolution In Healthcare
The document discusses the lack of data in healthcare, especially in rural and developing areas, which has led to major disparities between developed and developing countries. Most healthcare data is still collected manually using paper which is inefficient and error-prone. Reliable and high-quality data is needed to accurately understand healthcare issues and solve global problems, but obtaining such data remains a challenge, particularly in places where data is not readily available. Advanced analytics could help predict broader healthcare needs and guide effective responses by analyzing even small, local data samples.
More Related Content
Similar to 3 ways to spot wrong statistics
3 ways to spot a bad statistic.
Mona Chalabi gives three tips for spotting bad statistics:
1) Check for uncertainty - visualizations often overstate certainty to seem objective.
2) See if you can see yourself in the data - national averages may not reflect personal experiences.
3) Consider how the data was collected - finding the source and process helps evaluate reliability.
Managers should be aware of misleading statistics to make accurate decisions, as decisions based on bad data can harm company performance long-term. While statistics can cause skepticism, understanding collection methods allows reliable numbers to still guide policy decisions.
Three ways to spot a bad statisic
This document discusses ways to evaluate the reliability of statistics. It notes that many people are skeptical of statistics from both private companies and the government. It then provides three questions people can ask to identify unreliable statistics: 1) Can you see uncertainty? Statistics should acknowledge possible errors using things like ranges rather than precise decimals. 2) Can I see myself in the data? Statistics should consider variations among subgroups. 3) How was the data collected? The methodology is important to understand limitations like a poll's sample size and method. Understanding how to critically examine statistics can help people have a more informed relationship with data.
3 ways to spot a bad statistic
This document discusses how to identify bad statistics. It provides three questions to ask:
1. Question the uncertainty - statistics often overstate certainty, so remember imprecisions.
2. Can I see myself in the data? - Get context by seeing how data changes over time and if it's relevant.
3. How was the data collected? - Find out the methodology to ensure the chart shows everything needed.
While statistics are important, they must be scrutinized carefully to avoid being misled. Asking these questions helps assess statistics properly.
ways to spot bad stats
This document summarizes a TED talk about spotting bad statistics. It outlines three questions to ask: 1) Can you see uncertainty in the data? Visualizations often overstate certainty. 2) Can I see myself in the data? National statistics may not match personal experiences. 3) How was the data collected? The method of data collection impacts the results. Government data is generally more reliable than private companies' data. Managers should maintain teams that consider data uncertainty and ensure surveys target all affected people.
How to spot bad statistics
This document discusses how to spot bad statistics. It notes that bad statistics are numbers that are meaningless and irrelevant to society. There are two types of people when it comes to statistics - those who believe statistics are crucial, and those who feel they do not reflect daily life. The document provides three ways to spot bad statistics: check if there is uncertainty in the data set, see if you can relate to the data set in your daily life, and consider how the data was collected and if the data set was large enough. Government policies are also criticized for trying to solve problems without accurate statistical data on issues like racial segregation and the impacts of war.
Who is to Blame
The document discusses the challenges independent voters face in deciding who to blame for various economic and social issues. It notes that independent voters will decide the next election outcomes. While the left and right each blame the other side, the reality is more complex. The document examines data on economic success globally and finds that some of the conservative Heritage Foundation's assumptions, like the idea that higher government spending or taxes weaken economies, are flawed. Government spending as a percent of GDP actually correlates positively with higher per capita GDP. Other factors beyond those in the Heritage Foundation's index also influence economic success and weakness among nations.
3 ways to spot a bad statistic
This document discusses how to spot bad statistics. It provides three questions to ask: 1) Can you see uncertainty in the data? Many visualizations overstate certainty. 2) Can I see myself in the data? Data needs context about how it relates to people's lives. 3) How was the data collected? It's important to understand how surveys and studies were conducted. Bad statistics can mislead decision making, so it's crucial to evaluate data collection methods and understand limitations to get full context. Statistics are still important for policymaking, but they must be questioned and interpreted carefully.
Analysis of 3 ways to spot a bad statistic by mona chalabi
This document summarizes Mona Chalabi's analysis of how to spot bad statistics. It outlines 3 key questions to ask: 1) Can we see uncertainty in the numbers? Visualizing data can overstate certainty. 2) Can we see ourselves in the data? Context is important to understand where data points fit. 3) How was the data collected? It's important to understand the methodology to properly interpret results. Bad statistics can mislead; we shouldn't dismiss numbers but should learn to scrutinize how they were produced and what uncertainties exist. Proper statistical analysis is important for effective policymaking and decision making.
Identity theft fraud laws how the legal system can protect you
In the no so distant past, individuals didn't stress much when they lost a charge card or discarded a bill. They knew they could contact their loan bosses and rectify it before long. In any case, today, you might be a casualty of Identity theft fraud and not know it. This pernicious wrongdoing is likewise difficult to indict on the grounds that it's hard to distinguish and find the culprit.
Consider the current national debate about the revelation that top g.pdf
Consider the current national debate about the revelation that top government officials of the
Internal Revenue Service (IRS), divulged personal tax information and company or
organizational information to other unprivileged parties against the permission of the tax filers.
Then consider the present Media expose that the Federal government is accumulating the records
of millions of personal phone numbers, e-mails, and other electronic information of Americans
by the National Security Agency (NSA) secretly.
Now evaluate the reality that all of the above activities have been conducted by the highest
leadership in the United States, which includes the President, Congress, and the Judiciary in
cooperation and complicity
explain these two topics of importance of trust 1) consider all points of view. see situations from
the other person\'s perspectives. show that although you may not agree with, you do respect the
views of others. 2) keep promisies. never say you will do one thing then do another. If you can\'t
do whatbyou have promised, explain why; dont try to hide the fact you could not keep your
word. You may mention the politics involved as objectively as you can, but remain contextually
on the topic of Leadership Qualities.
Explain how each of the TWO phrases reveals the importance of TRUST in Leadership, while
using your own words in the light of the above activities by the highest levels of Leadership in
the United States.
Solution
The internal revenue service coordinated attack on conservative group with the host of
government and political parties is revealed by the Fomer IRS officer Ms. Lerner created a hot
discussions in the United States of America about the freedom personal data and execution of
personal data by wrong persons and thus creating institutional inertia.
There are two differeing view about the usage of the data, one team of school of thought saying
that, it\'s mismanagement of tax information and government is doing insitituitional inertia,
While the latter school of thought believing that the government is given the information of non
tax payers who got excempted by stating lies on the records to it\'s National Secuirity
agency.The first group replied to this argument, The government is having the right to take
action against the non tax payer but it should be through the proper way and giving personal
informastion like e mail, telephone and others to third party other than the specified reason is the
vialation data protection act.
Leaking personal information from high authorities is raising the question of insecuirity and
distrust, which may unltimately cause to lose the trust in their leaders..
State of the YAYA 2020 (spreads) | Volume 1: Depth
The document is the introduction to a report called "State of the YAYA" produced by MOJO Ad, a student-run advertising agency. It discusses the Youth and Young Adult (YAYA) market, which MOJO Ad specializes in understanding. The report analyzes data from a national survey of over 700 people ages 18-24 to provide insights into who YAYA individuals are, their attitudes, behaviors, and concerns. Some of the key topics covered in the report include news consumption, political views, and sources of anxiety for the YAYA demographic.
Analysis of "3 ways to spot a bad statistic" by Mona Chalabi
Mona Chalabi discusses three questions to evaluate the reliability of statistics: 1) Does the data show uncertainty? 2) Can you see your demographic group represented? 3) How was the data collected? She argues that asking these questions can help identify "bad statistics" that lack context, omit parts of the population, or were gathered through flawed methods, leading to poor decision making. Understanding how to scrutinize statistics is important because governments and businesses often rely on numbers to set policies and strategies.
Magellan Strategies Colorado Voter Segmentation Overview 052114
This presentation explains a predictive data modeling project that segmented Colorado's 3.5 million voters into 11 groups. The segmentation enables campaign decision makers the ability to understand and target voters beyond data that is is available on a Colorado voter file.
Jep
The speaker discusses corruption in Jamaica and calls on citizens to take responsibility in addressing it. Some key points:
- Corruption is perceived as a serious problem in Jamaica according to surveys, though the scale may not be as large as in some other countries.
- Lack of trust in government and between citizens is undermining the economy, as it increases transaction costs and discourages business activity.
- While leadership failures have contributed to corruption, citizens must also change their own behaviors and demand accountability.
- National pride remains strong in Jamaica despite issues, and citizens want the country to succeed if problems are addressed. Everyone must play a role through open debate and collective solutions.
Americans renouncing U.S. citizenship
Lesperance & Associates is a well known law firm known for helping people understand their legitimate claim to the citizenship of certain countries. David Lesperance, the founder, is an expert at dealing with immigration and taxation issues and has years of experience in the field.
Ideas and Tools to Decode the 2020 Census - ONA19
Well-understood as both a constitutional imperative undergirding representative democracy and the rare political flashpoint that rises above the news of the day, the decennial census is also a veritable fount of story ideas and engagement opportunities that will continue long after the forms are counted.
The Unemployment Surprise
The document summarizes and investigates claims that the Bureau of Labor Statistics manipulated unemployment data for political reasons. It discusses how the BLS collects employment data through comprehensive surveys and calculates unemployment statistics through a transparent process. The document argues that conspiring to manipulate the data would require cooperation across many professional staff over years and that the surveys show consistent results over time. It concludes that the drop in the unemployment rate was consistent with the details of the jobs reports and slowing economic growth.
5 big lies about taxes
This document summarizes and rebuts five common "lies" or misconceptions about taxes in the United States. The first is that tax dollars are wasted by government. However, taxes fund important and popular services like Social Security, infrastructure, and national defense. Second, it is a myth that cutting taxes increases revenue; in reality, tax cuts typically decrease revenue. Third, not half of Americans avoid taxes altogether as some claim, since most pay other taxes besides income tax. Fourth, US citizens are not overtaxed compared to history or other developed nations. Fifth, the perception that taxes are too high may stem from effective anti-tax rhetoric and public ignorance about tax rates and spending.
Misuse of statistics
This document discusses misuses and limitations of statistics. It provides examples of how statistics can be misleading when organizations selectively publish studies, questions are worded to influence responses, or samples are not representative of the overall population. Limitations of statistics include that they deal with aggregates rather than individuals, quantitative rather than qualitative data, and laws that are true on average rather than exactly. Statistics also cannot prove causation and are limited by the quality of data collection and analysis.
Restoring Trust
The document discusses the lack of trust in leadership in both government and corporations in America. It argues that this lack of trust is due to leaders not being honest, not delivering results, and not living up to their principles. Specifically, corporate leaders promote employees but easily lay them off and government bailed out banks but not citizens. The document says that to restore trust, leaders must clearly articulate their vision, lead by example through honesty and integrity, and deliver tangible results. Effective leadership built on trust is needed to drive unity and help America overcome its challenges.
Similar to 3 ways to spot wrong statistics (20)
Analysis of 3 ways to spot a bad statistic by mona chalabi
Analysis of 3 ways to spot a bad statistic by mona chalabi
Identity theft fraud laws how the legal system can protect you
Identity theft fraud laws how the legal system can protect you
Consider the current national debate about the revelation that top g.pdf
Consider the current national debate about the revelation that top g.pdf
State of the YAYA 2020 (spreads) | Volume 1: Depth
State of the YAYA 2020 (spreads) | Volume 1: Depth
Analysis of "3 ways to spot a bad statistic" by Mona Chalabi
Analysis of "3 ways to spot a bad statistic" by Mona Chalabi
Magellan Strategies Colorado Voter Segmentation Overview 052114
Magellan Strategies Colorado Voter Segmentation Overview 052114
More from Prince Barai
Big Data Hype (And Reality)
The document discusses the limitations of using big data to predict human behavior. While big data offers unprecedented insights into consumer actions and attitudes, predicting human behavior remains challenging due to its inconsistency, impulsiveness, and dynamic nature. Marginal gains may be possible through big data analysis, but major breakthroughs are unlikely as long as human behavior remains hard to anticipate. Managers need to thoughtfully apply big data insights and not rely on them exclusively for decision-making, given the inherent randomness in human choices and actions.
The Big Data Revolution In Healthcare
The document discusses the lack of data in healthcare, especially in rural and developing areas, which has led to major disparities between developed and developing countries. Most healthcare data is still collected manually using paper which is inefficient and error-prone. Reliable and high-quality data is needed to accurately understand healthcare issues and solve global problems, but obtaining such data remains a challenge, particularly in places where data is not readily available. Advanced analytics could help predict broader healthcare needs and guide effective responses by analyzing even small, local data samples.
Relevant insights for a manager in India
This document provides insights for managers on finding a data scientist for their company. It recommends not specifically searching for a data scientist, as a logical person with basic data skills and a creative mindset can help the company more. The person should have basic math, programming, logical thinking, problem-solving abilities and understand key data science principles. Managers should start small with simple problems and focus on people skills rather than exclusively searching for a unicorn data scientist. The overall message is that investing time in the right person can yield better returns than persistently searching for an elusive data scientist.
The Big-Data Revolution in Healthcare
The healthcare industry generates huge amounts of data from patients but accessing, managing, and interpreting this data to create useful insights is challenging. Healthcare data is expected to grow from 153 exabytes in 2013 to over 2314 exabytes by 2020, a 48% annual increase. To leverage this data, the industry is transitioning from paper-based data collection to cloud-based systems that can process information faster and provide important insights. Indian healthcare managers should collect data from many sources and use new efficient technologies to analyze the data quickly before it becomes obsolete in order to improve patient care and operational efficiency.
A Leader’s Guide to Data Analytics
The document summarizes key insights from an article on data analytics for leaders. It discusses two main points:
1) Thinking skills are more important than technical skills in data analytics, as data may not always be genuine and thinking is needed to evaluate the data.
2) Thinking alone is not enough; leaders must also know how to implement insights and create an organizational culture where "thinking" is not sufficient without "knowing" and applying skills. A working knowledge of data science helps leaders implement insights with confidence.
Overall, the document argues that a manager with the insights discussed around critical thinking and implementation will be able to achieve better results through data analytics.
A Predictive Analytics Primer
This document discusses predictive analysis and its key elements. It explains that predictive analysis uses past data to predict the future. The three important elements of quantitative analysis are past data, statistics, and assumptions. It notes that obtaining quality past data at a granular level can be difficult. Regression analysis is commonly used for predictive analysis to find correlations between independent variables. Assumptions help in variable selection, but some Netflix predictive models had to be retired because later internet users were substantially different, invalidating the models' assumptions. The document emphasizes the importance of using the right data, statistical model, and assumptions for accurate predictive analysis.
The best stats you've ever seen
Swedish students scored poorly on a pre-test about global health and development issues. The document argues this was due to preconceived ideas rather than ignorance. It presents animated data visualizations showing trends over time in life expectancy, family size, income distribution, and child mortality across different regions of the world. The visualizations illustrate how countries like China, Latin America, and Africa have changed, with China focusing on better health and Latin America moving towards smaller families. It concludes that such data is not being used efficiently and that animations, interactivity, and search functions are needed to better present information about global trends.
Data is worthless
The document discusses the importance of communicating data effectively. It states that data is worthless if not communicated, and that over 1.5 million managers are needed to take advantage of all generated data. However, results do not speak for themselves, and proper communication is needed. It provides examples of scientists like Gregor Mendel and Dr. John Gottman who achieved recognition through good data communication. While there is data everywhere, it needs to be communicated effectively to the intended audience by focusing only on relevant details. The key message is that having data is not enough - it must be communicated well to have value.
The beauty of Data Visualization
David McCandless creates beautiful data visualizations called infographics that reveal unexpected insights from complex datasets. By turning information like worldwide military spending or Facebook status updates into simple diagrams, McCandless is able to tease out unseen patterns. Good design, he suggests, is the best way to navigate information overload and change how we see the world. The document then provides examples of McCandless' infographics and discusses how visualizing data in this way can provide insights.
Data driven
The document discusses characteristics of being data-driven. Some key characteristics include making decisions at the lowest level using diverse data to develop understanding, appreciating variation, and dealing with uncertainty. The essence of being data-driven is using data to make better decisions throughout an organization. Data-driven individuals conduct experiments, recognize varying decision criteria, realize decisions are not final, and work to improve skills and bring in new data.
More data more human
Jer Thorp argues that data should be made more human by putting people at the center and understanding the context in which data is collected. Visualizing data creatively helps make it more relatable and gives better insights. Managers can use these insights to personalize marketing, understand customer needs in context, and connect more intimately with customers through supportive data visualization. The relationship between people and their data is important, especially regarding privacy.
How to start thinking like a Data Scientist !
The document provides tips for starting to think like a data scientist by forming questions about issues at work, planning what data can help answer those questions, doing analysis to address the problem, and then repeating the process. It also discusses how data insights are relevant to managers in India by helping them understand subordinates' work, make better decisions, and support business growth. Managers who utilize data analytics can help their teams and company.
Big data
Susan Etlinger is an industry analyst who focuses on data and analytics. She has authored two reports on social media ROI and social analytics. She advises clients on measurement strategies and extracting insights from social data. She also works with technology companies to refine their strategies.
Big data refers to very large data sets that cannot be analyzed using traditional techniques. It is characterized by volume, velocity, and variety. Analyzing big data can help solve problems and generate value. The amount of data is growing exponentially from various sources like customer transactions, photos, and genome sequencing. This growth is driving changes in analytics approaches and capabilities.
Data science brings together techniques from computer science, statistics, mathematics, and domain knowledge to extract insights from
Data Scientist
This document discusses data science and data scientists. It defines data science as using scientific methods and processes to extract knowledge and insights from structured and unstructured data. Data scientists are analytical experts who use technical skills and curiosity to solve complex problems by straddling both business and IT. They have skills in mathematics, technology, and business strategy. As data has become more valuable, data scientist roles have evolved from statisticians and analysts to help organizations gain insights from large data sources. Managers should learn to identify data science talent to make their organizations more productive by adding data-driven insights.
More from Prince Barai (14)
Recently uploaded
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
原版定制【微信:41543339】【(Dalhousie毕业证书)达尔豪斯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
毕业原版【微信:176555708】【(GWU,GW毕业证书)乔治·华盛顿大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
University of New South Wales degree offer diploma Transcript
澳洲UNSW毕业证书制作新南威尔士大学假文凭定制Q微168899991做UNSW留信网教留服认证海牙认证改UNSW成绩单GPA做UNSW假学位证假文凭高仿毕业证申请新南威尔士大学University of New South Wales degree offer diploma Transcript
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
毕业原版【微信:41543339】【(Chester毕业证书)切斯特大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
The Ipsos - AI - Monitor 2024 Report.pdf
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
毕业原版【微信:41543339】【(Harvard毕业证书)哈佛大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
原版定制【微信:41543339】【(BCU毕业证书)伯明翰城市大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理
毕业原版【微信:41543339】【(牛布毕业证书)牛津布鲁克斯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
学校原件一模一样【微信：741003700 】《(swinburne毕业证书)斯威本科技大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
原版定制【微信:41543339】【(Bradford毕业证书)布拉德福德大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
The Building Blocks of QuestDB, a Time Series Database
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Recently uploaded (20)
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
University of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma Transcript
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
3 ways to spot wrong statistics
- 1. 3 WAYS TO SPOT A BAD STATISTIC - MONA CHALABI
- 2. Sometimes it’s hard to know what statistics are worthy of trust. 2
- 3. Understand what the numbers are saying. 3
- 4. About 4 out of 10 Americans distrust the economic data that gets reported by government.
- 5. “Statistics come from state, that’s where they got their name. Better measure the population to better serve it. 5
- 6. Don’t blindly acccept or reject 6
- 7. Q1. Can you see uncertanity? 7
- 8. Q2. Can we see us in the data? 8
- 10. Q3. How was the data collected? 10 THE WAY DATA COLLECTED MATTERS AS MUCH AS DATA COMMUNICATION. BUT THIS IS OPAQUE , TOUGH AND BORING.
- 11. Private companies don’t have a huge interest in getting the numbers right, which is not the case with that of the Government ones.
- 12. 12 DON’T JUST COUNT THE STATS ALTOGETHER, INSTEAD, LEARN TO LOOK BEHIND THEM.
- 13. 13
- 14. “ 14
- 15. 15 PRESENTED BY: PRINCE BARAI DATA ANALYST INTERN AT IIM,LUCKNOW