老虎机稳赢方法

“A lot can be learned from the big companies of today. Companies like Amazon have revolutionized logistics, companies like Tesla have revolutionized sustainable systems, companies like Microsoft and Google have revolutionized data mining and data distribution, companies like Maersk have revolutionized Supply Chains, companies like Gardein and Beyond Meat have revolutionized food. Every company can serve as a case study of some kind with various lessons that can be learned.”
― Hendrith Vanlon Smith Jr

“In this new age where data is so abundant, our task as a civilization now is effective beneficial utilization. The challenge now is doing good things with that data - things that make our lives and the lives of future generations of people more fulfilling and more joyful and more prosperous.”
― Hendrith Vanlon Smith Jr

“There's relevant data, and there's irrelevant data. In business, it's important to only utilize relevant data.”
― Hendrith Vanlon Smith Jr

“We are using data as a way to identify large scale patterns and narratives and then use that insight exclusively in service of the businesses in our network.”
― Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth

“Many modern businesses have become proficient at mining data. In fact the mining of data is becoming almost routine. But as we advance further into the 21rst century and the 22nd century, the utilization of data begins to take priority. So it's not just about collecting all this data, but also about getting really creative with generating new ways to utilize that data in the quest to add value.”
― Hendrith Vanlon Smith Jr

“Use the data from the clients you already have to help you find new clients just like them.”
― Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth

“Information walks. Misinformation flies.”
― Rupa Mahanti, Data Humour

“Base your understanding of the world on data, rather than journalism.
Journalism is a highly non random sample of the worst things that have happened in any given period.

It is an availability machine, in the sense of Tversky and Kahneman's availability heuristic; namely - our sense of risk, danger and prevalence is driven by anecdotes, images and narratives that are available in memory.

A lot of good things are either things that "don't happen" (like a country at peace, or a city that has not been attacked by terrorists, which almost by definition are not news), or things that build up incrementally, a few percentage points a year, and then compound (like the decline of extreme poverty).

We can be unaware, out to lunch about what's happening in the world if we base our view on the news. If instead we base our view on data, then not only do we see that many (although not all) things have gone better (not linearly, not without setbacks and reversals, but in general a lot better... and that paradoxically, as I've cheekily put it, progressives hate progress), but also that the best possible case for progress - that is, for striving for more progress in the future, for being a true progressive - is not to have some kind of foolish hope, but to look at the fact that progress has taken place in the past; and that means: why should it stop now?”
― Steven Pinker

“Completeness of crucial information is extremely important, as missing data is not only a cost issue but is also a massive lost opportunity issue...”
― Rupa Mahanti, Data Quality: Dimensions, Measurement, Strategy, Management, and Governance

“Trusting our instincts is not limited to sports. In every walk of life, regardless of how well trained our instincts are, we will usually do our best by trusting them. Recent brain-scanning technology has shown that the brain unconsciously makes rational decisions, quickly analyzing the data it gets, and reaches a decision sometimes seconds before our conscious minds 鈥渢hink up鈥� that same decision. Actions that feel like random choices or instinctive responses are often logical thought processes using available information carried out in the unconscious mind. Many successful businesspeople say their best decisions are the ones they make using 鈥済ut feelings鈥� or instinct.”
― Dan Brodsky-Chenfeld, Above All Else

“I always distrust research that finds exactly what it seeks. If they know what they are looking for, by gosh they will find it.”
― Matthew Dixon, Brent Adamson

“We got it on file,鈥� Van Dyne said.

Vince could not believe what he had heard. 鈥淚 thought people in your line of work didn't keep records? Safer for you and essential for your clients.鈥�

Van Dyne shrugged. 鈥淔uck the clients. Maybe one day the feds or the locals hit us, put us out of business. Maybe I find myself needing a steady flow of cash for lawyers' fees. What better than to have a list of a couple of thousand bozos living under phony names, bozos who'd be willing to be squeezed a little rather than have to start all over again with new lives.鈥�

鈥淏lackmail,鈥� Vince said.

鈥淎n ugly word,鈥� Van Dyne said. 鈥淏ut apt, I'm afraid. Anyway, all we care about is that we are safe, that there aren't any records here to incriminate us. We don't keep the data in this dump. Soon as we provide someone with a new ID, we transmit the record of it over a safe phone line from the computer here to a computer we keep elsewhere. The way that computer is programmed, the data can't be pulled out of it from here; it's a one-way road; so if we are busted, the police hackers can't reach our records from these machines. Hell, they won't even know the records exist.鈥�

This new high-tech criminal world made Vince woozy. Even the don, a man of infinite criminal cleverness, had thought these people kept no records and had not realized how computers had made it safe to do so”
― Dean Koontz, Watchers

“More information means less ignorance and a greater chance of rational and better decisions and not those based on illusions, hope, preconceived notions or perceptions. The danger from so much data鈥攖here is no definition of what is optimum鈥攊s that there are chances of overanalysis or falling into a conspiracy theory trap.”
― Vikram Sood, The Unending Game: A Former R&AW Chief鈥檚 Insights into Espionage

“In any contentious debate, some people will find it advantageous to align themselves with the crowd, while a smaller number will come to see themselves as persecuted outsiders. This may especially hold in a field like climate science, where the data is noisy and the predictions are hard to experience in a visceral way. And it may be especially common in the United States, which is admirably independent-minded.”
― Nate Silver, The Signal and the Noise: Why So Many Predictions Fail鈥擝ut Some Don't

“Beneath the data strips, or tickers, there were fixed digits marking the time in the major cities of the world. He knew what she was thinking. Never mind the speed that makes it hard to follow what passes before the eye. The speed is the point. Never mind the urgent and endless replenishment, the way data dissolves at one end of the series just as it takes shape at the other. This is the point, the thrust, the future. We are not witnessing the flow of information so much as pure spectacle, or information made sacred, ritually unreadable. The small monitors of the office, home and car become a kind of idolatry here, where crowds might gather in astonishment.”
― Don DeLillo, Cosmopolis

“In one large Australian study 60 per cent of adolescents indicated that the common items of the death and danger subscale of the FSSC-R[Fear Survey Schedule for Children] caused them considerable distress and reduced their enjoyment of daily activities.

Pg 9”
― Rachel E. Menzies, Mortals: How the Fear of Death Shaped Human Society

“Motiongraphic is a data with an animated storyline.”
― Dhony Firmansyah, Amazing Slide Videographic

“I am too much in love with philosophy to collect data or do field studies.”
― James R. Flynn, What Is Intelligence?: Beyond the Flynn Effect

“Statistically speaking, saying that the entire population of women is more reckless and gullible than men because a single woman in the Bible was reckless and gullible is invalid. A single data point is not sufficient for determining whether or not women are more likely to be gullible and reckless than men, and Eve only represents ONE DATA POINT that supports the claim! To use Eve's sin to state that women are more gullible and reckless would mean that you are creating a claim derived from only one data point, which is insufficient statistical support.”
― Lucy Carter, Feminism and Biblical Hermeneutics

“There are too many cooks in the data kitchen. Data governance is needed to ensure that the data soup is of good quality.”
― Rupa Mahanti, in Data Humour

“Your data stories are as good as your data. With bad data you will end up narrating a fishy story.”
― Rupa Mahanti, Data Humour

“Think of small data as a pond and big data as a whirlpool in an ocean.”
― Rupa Mahanti, Data Humour

“I always distrust research that finds exactly what it seeks. If they know what they are looking for, by gosh they will find it.”
― Matthew Dixon, The Challenger Sale: Taking Control of the Customer Conversation

“The best way to move forward is to draw the interconnections between many data points and create possible scenarios instead of extrapolating past data to predict the future.”
― Sukant Ratnakar, Quantraz

“It was hard to tell the signal from the noise. The story the data tells us is often the one we鈥檇 like to hear, and we usually make sure that it has a happy ending.”
― Nate Silver, The Signal and the Noise: Why So Many Predictions Fail鈥擝ut Some Don't

“Ushahidi鈥檚 crowdsourced mapping and information created dynamic, real-time data that was constantly shifting and offering powerful, practical insights.”
― Jorn Lyseggen, Outside Insight: Navigating a World Drowning in External Data

“The current opinion is that the human brain is better at comparing relative sizes of rectangles than pie slices or donut sections.”
― Brian Larson, Data Analysis with Microsoft Power BI

“Do the current keepers of the organization鈥檚 data feel threatened by a BI implementation? Those who know the organization鈥檚 data best may feel their value depends on their being the sole possessor of that inside information. Getting these information gatekeepers to cooperate in sharing inside information and explaining those calculations is essential. These key individuals must be shown how, with a functioning BI infrastructure, they will be able to move beyond shepherding data to shepherding the organization by concentrating on making the key business decisions they were hired to make.”
― Brian Larson, Data Analysis with Microsoft Power BI

“Remember, managers are hubs of communication (see Chapter 12). The better they communicate across these sphere boundaries, the more people they can communicate with, and the more data they have. This consequently leads to better decision making. Ultimately, stronger communicators make better-informed decisions, and hopefully they are more successful because they waste less time wondering what to do.”
― Michael Lopp, Managing Humans: Biting and Humorous Tales of a Software Engineering Manager

“Something drew her attention. Her eyes narrowed as if to bring a distant object into focus. "I have a new sense,鈥� she realized. 鈥淚 feel myself standing on the surface of a vast library.鈥� She turned in a circle, scanning the featureless blue plain. 鈥淚 feel the presence of well-ordered data.鈥�

She reached out, and to Kona鈥檚 surprise, a curving side path appeared in response to her beckoning gesture. Files sprang up on the path, each one a thin, vertical pane large enough to step into. The first file in the stack showed a branching map of the library with all its major sections neatly labeled.”
― Linda Nagata, Edges