#Data Manipulation

[cipppi]

[justaphage]

Patreon posts misleading information about their new fees

Those of you who support creators on Patreon or are a creator yourself have probably heard that they are changing their fees. They are trying to paint this change as being better for creators, but in this article the graphs they use are blatant manipulation of the data.

First, they deliberately under-represent the percentage creators take home now.

(larger image link) I thought initially that they had just chosen to show the largest possible fee even though, on average, creators are not seeing a 10% fee. However when I used my own graphs it is clear they exaggerated the size beyond 10%.

Then, they under-represent how much more we will be paying under the new fee structure

(larger image link) Even at a relatively large pledge of $10, their graph is not accurate. For the average pledge of $3.42, it is an even bigger lie. (Average pledge calculated from graphtreon.com 12/7/2017) For someone pledging in $1 tiers it’s downright ridiculous.

I know many people have spoken about how this decision will impact them, but I feel it is especially important to call out ANY time a company manipulates data to mislead us. I am against this change, and I hope you are too, but most importantly I want us all to be making decisions based on facts.

[itchyglitch]

[clippingpathexperts]

  Best data manipulation and capabilities of application services in clipping path experts in Bangladesh dhaka.

[cipppi]

yall enjoyed the last anime post so here you go some more

[thoughtportal]

Actually do something about our problems?

[itchyglitch]

[xipiti]

Georgia government moving the goalposts on COVID data to hide surging infections.

[indizombie]

It is a misconception that doing business on the internet inherently tends towards democracy, as it uses numbers to gauge tastes. Quite the reverse. Truly independent expertise can never be swayed. Numbers, on the other hand, can be manipulated reasonably easily.

Ed Smith, 'SEO and algorithms? Numbers can't match up to plain good taste', New Statesman

[tattooed-alchemist]

The experimental course is no longer experimental. It is now an official offering at the University of Washington. They don’t get to put a swear word in the title, however.

It’s incredibly easy now to find “news” that backs up just about any worldview. Whether or not it’s contextually accurate is another question. The internet has made it easy for anyone with an opinion to get their message out.

It has become so bad that a recent study found only 36 percent of politically-aware Americans were able to fully determine fact from opinion. Only 44 percent of digitally-savvy Americans were able to do the same.

But the course is not strictly about spotting fake news. The course focuses more on skill sets.

“We really tried to keep it away from the most divisive political issues in the country right now, and tried to focus on developing the basic skills that people need to parse information, particularly numerical information,” Bergstrom said.

Skill sets like spotting graph and data manipulation.

“Most of the course was teaching the student to say ‘this graph is misleading me because they are not showing the axis properly and it makes a big difference look smaller, and a small difference look big,'” Bergstrom said.

“Our exercise is not meant to tell everyone that everything is (false or misleading) … that’s giving up,” West said. “What we’ve got to do is show people that there is a right answer, and you can find it.”

Beyond looking at information with a skeptical eye, Bergstrom said that a good defense against fake news or misleading information is the classic maxim: consider the source.

“I think you have to move to trusted sources,” Bergstrom said.

“I think we see that from the left and the right in the news media, for example,” he said. “There are stations and networks that cater to particular political orientations (to the point of deliberately misrepresenting data).”

[thoughtlessarse]

A former carbon offsetting executive has been charged with fraud by US federal authorities, who allege that he helped to manipulate data from projects in rural Africa and Asia to fraudulently obtain carbon credits worth tens of millions of dollars. Kenneth Newcombe, former CEO of C-Quest Capital LLC and a leading figure in the offsetting industry, was indicted on Wednesday in New York with commodities and wire fraud. Prosecutors alleged he was part of a multi-year scheme that manipulated information on the impact of cooking stove projects in Africa and south-east Asia to make them appear far more successful at reducing emissions than they were in reality, also using the figures to attract investment of more than $100m in C-Quest. From 2007 to December 2023, the 77-year-old was a board member of Verra, the world’s leading certifier of carbon offsets, and he also worked at the World Bank and Goldman Sachs at different times. He faces up to 20 years in prison if he is convicted of the most serious charges. He denies all allegations against him. A spokesperson for Newcombe told Bloomberg that their client was dying of cancer. “He is confident that if he lives to see a jury hear this case, that jury will reject these false charges and return his good name to him,” the spokesperson said. Cooking stove projects are one of the most popular carbon offsetting schemes, theoretically generating emissions reductions by swapping smoky fuels such as wood, paraffin or kerosene with cleaner alternatives. By changing fuels, they can have major benefits: improving air quality, reducing the amount of time people spend collecting wood and slowing the loss of the world’s forests. But studies have raised widespread concerns about their claimed environmental impact, finding that schemes are overstating their effect by an average of 1,000%. Shell and BP have both invested in C-Quest and are among several leading firms that have bought carbon credits from the firm.

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Most, if not all, carbon offset schemes don't work anyway and are probably run by cunts like Mr Newcombe here.

[deflagrat]

35mm photograph digitally manipulated

2020

onirico series

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