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相关帖子	版块	作者	回复/查看	最后发表

洛林蛋挞	爱坛美食	平沙落雁 2013-10-9	12 2518	平沙落雁 2013-10-11 08:01
大蛋挞是个神马？	Forum	holycow 2016-2-18	14 92	sylvia 2016-2-22 22:03
大蛋挞的取样	Forum	雨楼 2016-2-23	1 29	老兵帅客 2016-2-23 20:32
麦帅真爱吃蛋挞	Forum	jellobean 2016-3-18	3 36	jellobean 2016-3-18 11:34
今天哪谁接着来蛋挞	Forum	jellobean 2016-3-20	9 51	勤劳工作的猪 2016-3-21 15:54
今天，2016-03-25，你挣了没有！	Forum	jellobean 2016-3-25	20 87	理想的下午 2016-3-26 10:10
“蛋挞帮”勋章	MACA Studio	MacArthur 2016-4-10	4 13	老兵帅客 2016-4-13 22:25
最多明天，蛋挞帮积分就将超过人在海外群组	Forum	老兵帅客 2016-4-18	7 47	pade1999 2016-4-21 09:46
不爱歧视俺们蛋挞，迟迟不批勋章	逼格达挞群	常挨揍 2016-5-14	13 119	绿梧桐 2016-5-31 09:51
不知道爱坛有没有管理员值班制度	建议意见	老兵帅客 2016-5-25	15 224	tanis 2016-5-27 01:45
再问一下，蛋挞帮的勋章上市申请处理得怎么样了	建议意见	老兵帅客 2016-6-4	6 104	nightcat 2016-6-5 11:01

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分享老兵，你把那个大蛋挞群关了吧。: 热度 16 雨楼 2016-10-13 23:57; 反正银子勋章已经骗到手袅。签到挺积极，审批加入群都不管。系统提醒三天了也没人管。。。没法@啊？ 3天前慵慵下午茶加入您的逼格达挞群群组需要审核，请到群组管理后台进行审核; 728 次阅读|4 个评论

分享华尔街日报力挺我大蛋挞帮！: 热度 20 holycow 2016-2-24 03:24; http://www.wsj.com/articles/the-big-data-future-has-arrived-1456184869 话说，这位吃过蛋挞吗？ The Big-Data Future Has ArrivedIt is now possible to measure everything, from the movement of billions of stars to each heartbeat. Big data, the tech story of a few years ago, is now beginning to show big results. The science of using powerful computers, ubiquitous sensors and the Web to crunch mountains of raw data to uncover previously invisible insights is increasingly used in businesses, universities and government agencies. It is transforming our understanding of everything from fetal development to cosmology. Already, thanks to big data, we have learned that toddlers learn language not from repetition—which we’ve thought for centuries—but by hearing words used in multiple contexts. We’ve also found that premature babies are at greatest risk when their heartbeats are stable (healthy baby hearts are more erratic). Researchers are making inroads into understanding the external influences on autism (carbon-dioxide levels, room temperature) and how urban crime can largely be isolated to just a few blocks, even individual buildings. These and other big-data breakthroughs can be seen Wednesday night in the PBS documentary “The Human Face of Big Data,” based on a 2012 book of the same name, to which I contributed an essay. We can now identify impending bouts of depression, even suicidal tendencies, by looking at the changing lifestyle (social media usage, diminishing movement) of potential victims. And, using Google search data, epidemiologists can spot an emerging epidemic before doctors do. One of the most extraordinary features of big data is that it signals the end of the reign of statistics. For 400 years, we’ve been forced to sample complex systems and extrapolate. Now, with big data, it is possible to measure everything, from the movement of billions of stars to every beat of the human heart. Big data is also making its way, almost silently, into everyday life. In Israel, 80% of the citizenry contribute traffic data to help each other commute via the WAZE app on smartphones, increasingly the platform of choice for big data. California is looking at using the accelerometers in smartphones, which detect sudden motion, to create an early-warning system for earthquakes that will be much faster than government-installed devices. Farmers in the Midwest will soon have measurements taken in their fields nearly down to individual plants—and that will combine data on soil, water and weather to come up with trillions of scenarios for insurance coverage. Victims of natural disasters are now being pinpointed and given aid through real-time analysis of tweets, instant messages and phone calls. Even one of the oldest of arts, geography, is being revolutionized with maps that will change by the second. But it is in the commercial world where big data has seen its greatest inroads to date. A recent survey by consultants NewVantage Partners has found that the number of U.S. firms using big data in the past three years has jumped 58 percentage points to 63% penetration—while 70% of firms now say that big data is of critical importance to their firms, an astounding jump from 21% in 2012. That’s one of the fastest tech-adoption rates ever. Meanwhile, the title of chief data officer—the C-Suite manager of big data—a title that until recently didn’t even exist, is now found in 54% of companies surveyed. The commercial impact of this revolution can be found everywhere from products and services that can predict the unique needs of individual customers, to improved credit precision, to stores that adapt (through special discounts and deals that pop up on your smartphone) to each customer who walks through the door. To date, much of this activity has remained hidden from sight. But soon it will burst forth much more publicly—and the experiences of daily life will be profoundly transformed into a new set of personalized, predictive and empowered experiences we can barely imagine today. Perhaps nowhere will this change be greater than with our own bodies. With new generations of external and internal monitoring devices continuously gathering unimaginable quantities of health and medical data on billions of people, we will soon learn more about the human body in a year than we once did in a century. China is already working to do this on hundreds of millions of its chronically ill citizens. This knowledge will help transform everything from epidemiology to genetic research to individualized medicine and treatment programs. Most of all, big data is about to ask some cultural questions for which we have no ready answers, much less consensus. For example, who owns our personal data? Today that answer is not clear—and it may take legal precedent, perhaps even the adoption of a Bill of Data Rights, to resolve that question. These are major challenges, but they will be overcome because the fruits of big data are too valuable. None, it is now clear, is more valuable than what is called “metadata”—data that derives from, and provides information about, other data. One of the biggest lessons of technology revolutions is that they begin by solving a need you already have—say, tracking how a particular virus spreads in a population—and end by solving needs you never imagined. And that may be the real destiny of big data. When you can study billions, even trillions, of data points you begin to uncover forces and trends that until now have always been invisible to human observers. What if that impacted wisdom tooth you had at age 10 shortens your life 70 years later? Or if that one fugitive, missed heartbeat last week is a harbinger of cardiac trouble to come next month? It is the discovery of this metadata that may prove to be big data’s real destiny: to teach us to see both ourselves and the natural world around us in ways we never could before.; 1456 次阅读|13 个评论

分享我蛋挞帮法力无边！: 热度 53 holycow 2016-2-19 10:57; 今天收到一个学区群发的电邮，俺第一眼扫过标题以为又是花样翻新的钓鱼电邮：“加州教育部：有关公布学生隐私信息的通知”。 TNND，起这么一个吓人的标题，这一定是要骗家长到哪个网站输入个人信息了，俺偏不上当结果去古狗了一下最近的新闻，发现居然是真的自从2012年以来Morgan Hill地方的两个家长组织就一直在和加州教育部打官司，声称加州教育部没有遵循法律规定为每个孩子提供平等的，合适的教育机会。为了证明指控，起诉方要求加州教育部提供从2008年以来所有在加州州立中小学教育系统中学习过的学生个人信息，包括社会安全号码，姓名生日，家庭住址，学习成绩，健康记录，心理状态评定，特殊干预计划，奖励处分记录等等。涉及的学生共1000万。有了这么逼格的蛋挞，起诉方的数据分析团队就能够分析出是否有特定族群特定背景的学生受到了不公平的对待。加州教育部以及俺大加州学监汤姆.秃驴僧当然死命抵抗，不过官司打到2月1日，联邦法官判决加州教育部必须交出上述资料。当然，法官是注重隐私权的，因此家长如果不愿意自己孩子的资料被交出去，可以填表向法庭备案，拒绝参与。法庭不收电子表格或传真文件，只接受打印的表格原件，必须4月1日之前邮寄到庭。回到家就给自家的两个娃填了两份表，原本准备放一个信封里寄走，后来转念一想，一个信封里装两张表，法庭书记漏了一张怎么办？这么的吧，安全起见，两张表分装两个信封寄去。为了有证据，当然是寄挂号信啦办完这件事，俺很不厚道地脑补了一下法庭书记面对成百万信封手忙脚乱的场景，也许这就是俺大加州教育部希望取得的效果起码，USPS这下发了。加上这案子里面的律师，数据建模师，数据分析员，还有净化一千万条记录所需要的数据清扫员，这个可是从中下阶级到中上阶级都覆盖了，创造就业啊。哪个加拿大人说中产阶级萎缩了的？我大蛋挞帮果然法力无边; 1191 次阅读|26 个评论

分享关于让梨——也和叶子的“三个蛋挞”: 热度 21 茉莉 2012-4-28 13:35; 很久以前看到的话说讲完了孔融让梨的故事，为父拿出两个梨来，问儿子：你打算怎么做呢？儿子说：让爸爸先挑！; 个人分类: 趣闻趣文|46 次阅读|1 个评论

分享分享——和叶子的“三个蛋挞”: 热度 24 禅人 2012-4-28 12:35; 看了叶子的新日志“三个蛋挞”和试图对女儿的道德诱导，想起日前看到的一个朋友的日志。那天朋友的老公回家，把一包吃食放在桌子上，她的面前。两岁半的小儿子揣着小心思问：爸爸，这是买给谁吃的呀？大他十几岁的姐姐在一边逗小弟弟，说：当然是给妈妈吃的啦！小弟弟不乐意了，对着妈妈和姐姐语重心长：分享——好东西要大家一起分享！看，这就是妈妈以前念孔融让梨之类道德教化故事的意外成果; 881 次阅读|7 个评论

分享三个蛋挞: 热度 34 到处停留的叶子 2012-4-28 07:03; 事情的开始是这样的，叮当妈在围脖上说：爸爸问叮当,三个蛋挞如何分给爸妈外公外婆.叮当说“爸妈合吃一个，外公外婆一人一个，叮当不吃”；爸爸又问三个蛋挞，怎么分，叮当答“爸妈一人一个，最后一个切十字分四份给爷爷奶奶外公外婆，叮当不吃”；爸爸问还有啥方法，叮当答“爸妈一人一个，爷爷奶奶外公外婆彩东里彩，叮当不吃~ 我们看到叮当是个好孩子，虽然才四岁，小脑袋还是蛮灵活的。今天周末，我那十二岁的女儿在打游戏，于是我突然想用同样的问题问问她。她先反问，为什么要问这个问题？我说比如说去年夏天外公外婆不是和我们一起么，那比如说我们有三个蛋达，要吃点心了，你打算怎么分？她说，为啥你没有买5个？我呆了一下，说，就是比如说遇到这样的情况。她还是疑惑，但是终于想了想，说，把每个点心对半分，一人吃半个。那剩下半个怎么办？她看了我一眼，剩下的先放着，等会儿谁要吃谁吃。到底给谁吃？ “宝宝吃” 她突然改用中文很稚气的说，并且不好意思地笑了。还有其他分法么？小妞已经扭头回到她的游戏中去了，这时候有点不耐烦，说，那就分成15份，大家平分好了。我寻根究底问，三个蛋达怎么分15份？她不假思索说每个蛋达分15份就好了我从椅子上跳起来，看着她，我说你给我把一个蛋达切15份看看！女儿往后仰着骇笑，妈妈，那你就把每个蛋达切5份，我们每人吃三块~~~ 我退回到椅子上，说，我还是不满意。她这时候举着遥控器，投降的样子，说，那就这样好了，我们扔dice，谁的数字最大把三个都吃了。啊！？我大叫，你专心点好不好~ 她转头过来怪笑，纠正道，那就吃一个，接下来继续扔，数字最大的就吃一个蛋挞……一直到没有蛋挞为止。那吃过的人可不可以继续扔？她说，可以的，或者不可以吧，你喜欢哪一个方法？我说我喜欢最后一个方法。叹气。; 个人分类: 家居点滴|70 次阅读|22 个评论

分享吃蛋挞: 热度 49 河蚌 2012-2-23 13:42; 十年前在广州做项目，有两样吃货一下子喜欢上了，一样是肠粉，另一样是蛋挞。问题是，这两样都是早餐，而且从来不会出现在一个摊位上，所以早晨经常需要抉择一下，不过想想实惠度和普及度，还是选肠粉的居多。等出了岭南，就发现，无论是蛋挞还是肠粉，都真正的属于广东地方特色，因为即使是在福建、湖南，这两样东西都根本不见踪迹，所以只要去广东，俺肯定抓住机会，早餐到大排档去吃一下。已经有几年不去广东了，不过发现蛋挞作为美食倒是渐渐地向北边扩展，虽然还没有象沙县小吃和西北拉面那样遍地开花，但在大商场里也都有得买了。俺岳母曾经在大连商场买回来几个，带给俺儿子吃的，我也顺便尝了一口，味道也还不错。再然后，似乎每个糕点铺里就开始做蛋挞，只是价格很贵，而且味道也很一般，俺也就木有什么兴趣了。昨天，在南京街面转，看到一个糕点铺子跟前挤满了学生，同事说：“买啥东西呀，生意好火呀！！”，俺们没兴趣围观，直接无视之。等俺准备坐火车时，再次路过那个铺子，想着明天的早餐还没有着落，就多看了几眼，哦，俺的眼睛一下子就定住了，好多的蛋挞呀，而且看着似乎十分鲜嫩。问了一下价钱，两元一个，哦，这个价格很出乎我意外，记得在大连好象是四元呀，这倒勾起我的食欲，凑个整吧，俺买五个。到了地铁上，俺迫不及待的吃了一个，甚至还撒了一点碎屑在车厢地板上，还好，这是南京，如果是在香港，大概就会有国宠来指点俺的吃相了。剩下的，还是留给早饭吧。起来时，天还未亮，就着晨光，混着凉水，俺将四个蛋挞不待停顿地吃了下去。这下真是过足了瘾，不过一下子吃这么多个，胃里还真有点向上翻的感觉，那可是四个鸡蛋的精华呀。出门在外，一定要对自己好一点，这次，也总算是满足了自己的一个潜欲望。但如果有下次的话，我肯定会少买两个，这东西还真不能当饭吃。; 个人分类: 工作之余|1324 次阅读|78 个评论

分享蛋挞召唤日志: 热度 53 假如十八 2012-1-18 22:31; 河蚌试图发个蛋挞日志(一个日志招来的表态全是鸡蛋),还没开始就失败了. 洒家考虑尝试一下! 客官们,看好了(看你觉得是不是应该给个鸡蛋给我): 爱菊根本不会做菜! 张王根本不会写文章! 煮酒哪里帅了? 呆鹅生下来到现在没看过色文! penpen从来就是个垃圾admin! 晨枫从来不知道飞机几个翅膀! 胖得妙不可是个臭棋篓子! 飞马萧逆来顺受! 嘉木从来都没读过诗! 山远空寒编辑最懒了! 草纹做事情一点规划都没有! 雪个说国画是用铅笔画的! 茉莉发帖子惜字如金! 重点来了... 重点来了... 假如十八是爱坛最不可爱的ID!; 1093 次阅读|48 个评论

分享我要蛋挞（里有照片极度恶心，纯洁者勿进）: 热度 49 河蚌 2012-1-18 21:54; 我要蛋挞，三黄蛋的塔。不要彩虹，不要双塔，不要锯齿，我就要一柱擎天的蛋塔，我要每个人都甩鸡蛋，谁甩别的，我就和他急。我不是沙子哥，不会绝交。但我一样会阴魂不散，雨夜，在你的身后，千万别回头，因为在电光闪烁之间会有一个无脸男飘在半空对着你喊： “是谁......动了我的蛋挞！！”; 个人分类: 世间百态|1246 次阅读|28 个评论

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